2025 NeurIPS 中稿论文分布与清单 | blog

2025 NeurIPS 中稿论文分布与清单

• 状态：available
• 官方入口：https://openreview.net/group?id=NeurIPS.cc/2025/Conference
• 备注：OpenReview accepted submissions available.
• 纳入论文数：5286

Best / Outstanding Papers

当前官方数据源中没有识别到。

Highlight / Spotlight / Oral Papers

Type	Title	Authors
Oral	1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities	Kevin Wang; Ishaan Javali; Michał Bortkiewicz; Tomasz Trzcinski; Benjamin Eysenbach
Oral	A Clean Slate for Offline Reinforcement Learning	Matthew Thomas Jackson; Uljad Berdica; Jarek Luca Liesen; Shimon Whiteson; Jakob Nicolaus Foerster
Oral	A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning	Yuzheng Hu; Fan Wu; Haotian Ye; David Forsyth; James Zou; Nan Jiang; Jiaqi W. Ma; Han Zhao
Oral	A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders	David Chanin; James Wilken-Smith; Tomáš Dulka; Hardik Bhatnagar; Satvik Golechha; Joseph Isaac Bloom
Oral	A multiscale analysis of mean-field transformers in the moderate interaction regime	Giuseppe Bruno; Federico Pasqualotto; Andrea Agazzi
Oral	Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks	Korneel Van den Berghe; Stein Stroobants; Vijay Janapa Reddi; Guido De Croon
Oral	Adjoint Schrödinger Bridge Sampler	Guan-Horng Liu; Jaemoo Choi; Yongxin Chen; Benjamin Kurt Miller; Ricky T. Q. Chen
Oral	Advancing Expert Specialization for Better MoE	Hongcan Guo; Haolang Lu; Guoshun Nan; Bolun Chu; Jialin Zhuang; Yuan Yang; Wenhao Che; Xinye Cao; Sicong Leng; Qimei Cui; Xudong Jiang
Oral	Agnostic Active Learning Is Always Better Than Passive Learning	Steve Hanneke
Oral	An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds	Siyu Chen; Theodor Misiakiewicz; Ilias Zadik; Peiyuan Zhang
Oral	Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions	Zhaoxian Wu; Quan Xiao; Tayfun Gokmen; Omobayode Fagbohungbe; Tianyi Chen
Oral	Auto-Compressing Networks	Vaggelis Dorovatas; Georgios Paraskevopoulos; Alexandros Potamianos
Oral	Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation	Wenbin An; Jiahao Nie; Feng Tian; Haonan Lin; mingxiang cai; Yaqiang Wu; QianYing Wang; Xiaoqin Zhang; Shijian Lu
Oral	Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies	Felix Chalumeau; Daniel Rajaonarivonivelomanantsoa; Ruan John de Kock; Juan Claude Formanek; Sasha Abramowitz; Omayma Mahjoub; Wiem Khlifi; Simon Verster Du To…
Oral	Class-wise Balancing Data Replay for Federated Class-Incremental Learning	Zhuang Qi; Ying-Peng Tang; Lei Meng; Han Yu; Xiaoxiao Li; Xiangxu Meng
Oral	ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts	Linfeng Tang; Yeda Wang; Zhanchuan Cai; Junjun Jiang; Jiayi Ma
Oral	Deep Compositional Phase Diffusion for Long Motion Sequence Generation	Ho Yin Au; Jie Chen; Junkun Jiang; Jingyu Xiang
Oral	Depth-Bounds for Neural Networks via the Braid Arrangement	Moritz Leo Grillo; Christoph Hertrich; Georg Loho
Oral	Discovering Opinion Intervals from Conflicts in Signed Graphs	Peter Blohm; Florian Chen; Aristides Gionis; Stefan Neumann
Oral	Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?	Yang Yue; Zhiqi Chen; Rui Lu; Andrew Zhao; Zhaokai Wang; Yang Yue; Shiji Song; Gao Huang
Oral	Does Stochastic Gradient really succeed for bandits?	Dorian Baudry; Emmeran Johnson; Simon Vary; Ciara Pike-Burke; Patrick Rebeschini
Oral	Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation	Zihan Wang; Seungjun Lee; Gim Hee Lee
Oral	Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks	Andrea Montanari; Pierfrancesco Urbani
Oral	Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks	Steffen Schotthöfer; H. Lexie Yang; Stefan Schnake
Oral	ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism	Zedong Liu; Shenggan Cheng; Guangming Tan; Yang You; Dingwen Tao
Oral	EvoLM: In Search of Lost Training Dynamics for Language Model Reasoning	Zhenting Qi; Fan Nie; Alexandre Alahi; James Zou; Himabindu Lakkaraju; Yilun Du; Eric P. Xing; Sham M. Kakade; Hanlin Zhang
Oral	Exploring Diffusion Transformer Designs via Grafting	Keshigeyan Chandrasegaran; Michael Poli; Daniel Y Fu; Dongjun Kim; Lea M. Hadzic; Manling Li; Agrim Gupta; Stefano Massaroli; Azalia Mirhoseini; Juan Carlos Ni…
Oral	From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics	Zheng-An Chen; Tao Luo
Oral	FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution	Qiusheng Huang; Yuan Niu; Xiaohui Zhong; AnboyuGuo; Lei Chen; dianjun zhang; Xuefeng Zhang; Hao Li
Oral	Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free	Zihan Qiu; Zekun Wang; Bo Zheng; Zeyu Huang; Kaiyue Wen; Songlin Yang; Rui Men; Le Yu; Fei Huang; Suozhi Huang; Dayiheng Liu; Jingren Zhou; Junyang Lin
Oral	Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness	Thomas Pethick; Wanyun Xie; Mete Erdogan; Kimon Antonakopoulos; Tony Silveti-Falls; Volkan Cevher
Oral	Generalized Linear Mode Connectivity for Transformers	Alexander Theus; Alessandro Cabodi; Sotiris Anagnostidis; Antonio Orvieto; Sidak Pal Singh; Valentina Boeva
Oral	GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability	Burouj Armgaan; Eshan Jain; Harsh Pandey; Mahesh Chandran; Sayan Ranu
Oral	High-Dimensional Calibration from Swap Regret	Maxwell Fishelson; Noah Golowich; Mehryar Mohri; Jon Schneider
Oral	High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model	Valentin Schmutz; Ali Haydaroğlu; Shuqi Wang; Yixiao Feng; Matteo Carandini; Kenneth D. Harris
Oral	HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models	Zelin Peng; Zhengqin Xu; Qingyang Liu; Xiaokang Yang; Wei Shen
Oral	Identifiability of Deep Polynomial Neural Networks	Konstantin Usevich; Ricardo Augusto Borsoi; Clara Dérand; Marianne Clausel
Oral	ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression	Tom Burgert; Oliver Stoll; Paolo Rota; Begüm Demir
Oral	Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization	Shogo Iwazaki
Oral	In Search of Adam’s Secret Sauce	Antonio Orvieto; Robert M. Gower
Oral	InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation	Jinlai Liu; Jian Han; Bin Yan; Wuhui; Fengda Zhu; Xing Wang; Yi Jiang; BINGYUE PENG; Zehuan Yuan
Oral	Interactive Cross-modal Learning for Text-3D Scene Retrieval	Yanglin Feng; Yongxiang Li; Yuan Sun; Yang Qin; Dezhong Peng; Peng Hu
Oral	KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction	Jang-Hyun Kim; Jinuk Kim; Sangwoo Kwon; Jae W. Lee; Sangdoo Yun; Hyun Oh Song
Oral	Large Language Diffusion Models	Shen Nie; Fengqi Zhu; Zebin You; Xiaolu Zhang; Jingyang Ou; Jun Hu; JUN ZHOU; Yankai Lin; Ji-Rong Wen; Chongxuan Li
Oral	Learning (Approximately) Equivariant Networks via Constrained Optimization	Andrei Manolache; Luiz F. O. Chamon; Mathias Niepert
Oral	Learning Linear Attention in Polynomial Time	Morris Yau; Ekin Akyürek; Jiayuan Mao; Joshua B. Tenenbaum; Stefanie Jegelka; Jacob Andreas
Oral	Learning long range dependencies through time reversal symmetry breaking	Guillaume Pourcel; Maxence Ernoult
Oral	Learning to Learn with Contrastive Meta-Objective	Shiguang Wu; Yaqing Wang; Yatao Bian; Quanming Yao
Oral	MaxSup: Overcoming Representation Collapse in Label Smoothing	Yuxuan Zhou; Heng Li; Zhi-Qi Cheng; Xudong Yan; Yifei Dong; Mario Fritz; Margret Keuper
Oral	Mean Flows for One-step Generative Modeling	Zhengyang Geng; Mingyang Deng; Xingjian Bai; J Zico Kolter; Kaiming He
Oral	Memory Mosaics at scale	Jianyu Zhang; Leon Bottou
Oral	MokA: Multimodal Low-Rank Adaptation for MLLMs	Yake Wei; Yu Miao; Dongzhan Zhou; Di Hu
Oral	On Linear Mode Connectivity of Mixture-of-Experts Architectures	Viet-Hoang Tran; Van-Hoan Trinh; Khanh Vinh Bui; Tan Minh Nguyen
Oral	On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity	Quentin Bertrand; Anne Gagneux; Mathurin Massias; Rémi Emonet
Oral	OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model	Zhenhao Zhang; Ye Shi; Lingxiao Yang; Suting Ni; Qi Ye; Jingya Wang
Oral	Optimal Mistake Bounds for Transductive Online Learning	Zachary Chase; Steve Hanneke; Shay Moran; Jonathan Shafer
Oral	PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models	Ruiqi Wang; Dezhong Zhao; Ziqin Yuan; Tianyu Shao; Guohua Chen; Dominic Kao; Sungeun Hong; Byung-Cheol Min
Oral	Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables	Zhongnan Cai; Yingying Wang; Hui Zheng; Panwang Pan; ZiXu Lin; Ge Meng; Chenxin Li; Chunming He; Jiaxin Xie; Yunlong Lin; Junbin Lu; Yue Huang; Xinghao Ding
Oral	Perception Encoder: The best visual embeddings are not at the output of the network	Daniel Bolya; Po-Yao Huang; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei; Tengyu Ma; Jiale Zhi; Jathushan Rajasegaran; Hanoona Abdul Rasheed; Junke Wang;…
Oral	PhySense: Sensor Placement Optimization for Accurate Physics Sensing	Yuezhou Ma; Haixu Wu; Hang Zhou; Huikun Weng; Jianmin Wang; Mingsheng Long
Oral	PlayerOne: Egocentric World Simulator	Yuanpeng Tu; Hao Luo; Xi Chen; Xiang Bai; Fan Wang; Hengshuang Zhao
Oral	QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training	Wei Dai; Peilin Chen; Chanakya Ekbote; Paul Pu Liang
Oral	RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation	Xingliang Wang; Zemin Liu; Junxiao Han; Shuiguang Deng
Oral	Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think	Ge Wu; Shen Zhang; Ruijing Shi; Shanghua Gao; Zhenyuan Chen; Lei Wang; Zhaowei Chen; Hongcheng Gao; Yao Tang; jian Yang; Ming-Ming Cheng; Xiang Li
Oral	Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation	Wei Wang; Haifeng Xia; Chao Huang; Zhengming Ding; Cong Wang; Haojie Li; Xiaochun Cao
Oral	Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion	Qing-Yuan Jiang; Longfei Huang; Yang Yang
Oral	SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding	Yuan Zang; Zitian Tang; Junho Cho; Jaewook Yoo; Chen Sun
Oral	SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing	Mingfei Chen; Zijun Cui; Xiulong Liu; Jinlin Xiang; Caleb Zheng; Jingyuan Li; Eli Shlizerman
Oral	Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy	Phuc Tran; Van Vu; Nisheeth K. Vishnoi
Oral	State Entropy Regularization for Robust Reinforcement Learning	Yonatan Ashlag; Uri Koren; Mirco Mutti; Esther Derman; Pierre-Luc Bacon; Shie Mannor
Oral	Superposition Yields Robust Neural Scaling	Yizhou Liu; Ziming Liu; Jeff Gore
Oral	Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain	Trinity Chung; Yuchen Shen; Nathan Kong; Aran Nayebi
Oral	The emergence of sparse attention: impact of data distribution and benefits of repetition	Nicolas Zucchet; Francesco D'Angelo; Andrew Kyle Lampinen; Stephanie C.Y. Chan
Oral	Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization	Milad Sefidgaran; Kimia Nadjahi; Abdellatif Zaidi
Oral	TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability	Tonglong Wei; Yan Lin; Zeyu Zhou; Haomin Wen; Jilin Hu; Shengnan Guo; Youfang Lin; Gao Cong; Huaiyu Wan
Oral	Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference	Jiayi Yuan; Hao Li; Xinheng Ding; Wenya Xie; Yu-Jhe Li; Wentian Zhao; Kun Wan; Jing Shi; Xia Hu; Zirui Liu
Oral	Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training	Tony Bonnaire; Raphaël Urfin; Giulio Biroli; Marc Mezard
Spotlight	$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models	TaeHoon Yoon; Yunhong Min; Kyeongmin Yeo; Minhyuk Sung
Spotlight	3D Equivariant Visuomotor Policy Learning via Spherical Projection	Boce Hu; Dian Wang; David Klee; Heng Tian; Xupeng Zhu; Haojie Huang; Robert Platt; Robin Walters
Spotlight	3D Interaction Geometric Pre-training for Molecular Relational Learning	Namkyeong Lee; Yunhak Oh; Heewoong Noh; Gyoung S. Na; Minkai Xu; Hanchen; Tianfan Fu; Chanyoung Park
Spotlight	4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos	Zhen Xu; Zhengqin Li; Zhao Dong; Xiaowei Zhou; Richard Newcombe; Zhaoyang Lv
Spotlight	A Closer Look at Graph Transformers: Cross-Aggregation and Beyond	Jiaming Zhuo; Ziyi Ma; Yintong Lu; Yuwei Liu; Kun Fu; Di Jin; Chuan Wang; Wenning Wu; Zhen Wang; Xiaochun Cao; Liang Yang
Spotlight	A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective	Lianghe Shi; Meng Wu; Huijie Zhang; Zekai Zhang; Molei Tao; Qing Qu
Spotlight	A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning	Guan Zhe Hong; Nishanth Dikkala; Enming Luo; Cyrus Rashtchian; Xin Wang; Rina Panigrahy
Spotlight	A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization	Hongxu Chen; Ke Wei; Haishan Ye; Luo Luo
Spotlight	A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding	Alexander Koujianos Goldberg; Giulia Fanti; Nihar B Shah
Spotlight	A Principled Path to Fitted Distributional Evaluation	Sungee Hong; Jiayi Wang; Zhengling Qi; Raymond K. W. Wong
Spotlight	A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search	Arnav Kumar Jain; Vibhakar Mohta; Subin Kim; Atiksh Bhardwaj; Juntao Ren; Yunhai Feng; Sanjiban Choudhury; Gokul Swamy
Spotlight	A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone	Jitai Hao; Qiang Huang; Hao Liu; Xinyan Xiao; Zhaochun Ren; Jun Yu
Spotlight	A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking	Zixiang Zhao; Haowen Bai; Bingxin Ke; Yukun Cui; Lilun Deng; Yulun Zhang; Kai Zhang; Konrad Schindler
Spotlight	A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning	Zechen Wu; Amy Greenwald; Ronald Parr
Spotlight	A learnability analysis on neuro-symbolic learning	Hao-Yuan He; Ming Li
Spotlight	A machine learning approach that beats Rubik's cubes	Alexander Chervov; Kirill Khoruzhii; Nikita Bukhal; Jalal Naghiyev; Vladislav Zamkovoy; Ivan Koltsov; Lyudmila Cheldieva; Arsenii Sychev; Arsenii Lenin; Mark O…
Spotlight	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench	Edan Toledo; Karen Hambardzumyan; Martin Josifoski; RISHI HAZRA; Nicolas Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Mar…
Spotlight	AI-Researcher: Autonomous Scientific Innovation	Jiabin Tang; Lianghao Xia; Zhonghang Li; Chao Huang
Spotlight	ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	Daolang Huang; Xinyi Wen; Ayush Bharti; Samuel Kaski; Luigi Acerbi
Spotlight	ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation	Jiatong Shi; Yifan Cheng; Bo-Hao Su; Hye-jin Shim; Jinchuan Tian; Samuele Cornell; Yiwen Zhao; Siddhant Arora; Shinji Watanabe
Spotlight	ARIA: Training Language Agents with Intention-driven Reward Aggregation	Ruihan Yang; Yikai Zhang; Aili Chen; Xintao Wang; Jiangjie Chen; Siyu Yuan; Deqing Yang; Yanghua Xiao
Spotlight	ARM: Adaptive Reasoning Model	Siye Wu; Jian Xie; Yikai Zhang; Aili Chen; Kai Zhang; Yu Su; Yanghua Xiao
Spotlight	Absolute Zero: Reinforced Self-play Reasoning with Zero Data	Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang
Spotlight	Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency	Renzhao Liang; Sizhe Xu; Chenggang Xie; Jingru Chen; Feiyang Ren; Shu Yang; Takahiro Yabe
Spotlight	Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty	Chenxi Ji; Yangge Li; Xiangru Zhong; Huan Zhang; Sayan Mitra
Spotlight	Accelerating Diffusion LLMs via Adaptive Parallel Decoding	Daniel Mingyi Israel; Guy Van den Broeck; Aditya Grover
Spotlight	Accelerating Optimization via Differentiable Stopping Time	Zhonglin Xie; Yiman Fong; Haoran Yuan; Zaiwen Wen
Spotlight	Accelerating Visual-Policy Learning through Parallel Differentiable Simulation	Haoxiang You; Yilang Liu; Ian Abraham
Spotlight	Accelerating data-driven algorithm selection for combinatorial partitioning problems	Vaggos Chatziafratis; Ishani Karmarkar; Yingxi Li; Ellen Vitercik
Spotlight	AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play	Ran Xu; Yuchen Zhuang; Zihan Dong; Ruiyu Wang; Yue Yu; Joyce C. Ho; Linjun Zhang; Haoyu Wang; Wenqi Shi; Carl Yang
Spotlight	Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation	Chen YAN; Weina Wang; Lei Ying
Spotlight	Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data	Tianyi Chen; Pengxiao Lin; Zhiwei Wang; Zhi-Qin John Xu
Spotlight	Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models	Zekai Zhao; Qi Liu; Kun Zhou; Zihan Liu; Yifei Shao; Zhiting Hu; Biwei Huang
Spotlight	AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking	Xiangqi Wang; Yue Huang; Yanbo Wang; Xiaonan Luo; Kehan Guo; Yujun Zhou; Xiangliang Zhang
Spotlight	AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders	Yuezhou Hu; Jiaxin Guo; Xinyu Feng; Tuo Zhao
Spotlight	Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates	Seunghyeok Shin; Dabin Kim; Hongki Lim
Spotlight	Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler	Zixuan Hu; Li Shen; Zhenyi Wang; Yongxian Wei; Dacheng Tao
Spotlight	Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning	Yixiu Mao; Yun Qu; Cheems Wang; Xiangyang Ji
Spotlight	Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees	Sangwoo Park; Matteo Zecchin; Osvaldo Simeone
Spotlight	Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization	Cong Wang; Zexuan Deng; Zhiwei Jiang; Yafeng Yin; Fei Shen; Zifeng Cheng; Shiping Ge; Shiwei Gan; Qing Gu
Spotlight	Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance	Qiujiang Jin; Aryan Mokhtari
Spotlight	AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement	J Rosser; Jakob Nicolaus Foerster
Spotlight	Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations	Olawale Elijah Salaudeen; Haoran Zhang; Kumail Alhamoud; Sara Beery; Marzyeh Ghassemi
Spotlight	Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness	Bogdan Chornomaz; Yonatan Koren; Shay Moran; Tom Waknine
Spotlight	Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models	Ilias Diakonikolas; Giannis Iakovidis; Daniel Kane; Lisheng Ren
Spotlight	Aligning Text-to-Image Diffusion Models to Human Preference by Classification	Longquan Dai; Xiaolu Wei; He Wang; Shaomeng Wang; Jinhui Tang
Spotlight	Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression	Thibaut Loiseau; Guillaume Bourmaud; Vincent Lepetit
Spotlight	AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws	Oren Neumann; Claudius Gros
Spotlight	Ambient Diffusion Omni: Training Good Models with Bad Data	Giannis Daras; Adrian Rodriguez-Munoz; Adam Klivans; Antonio Torralba; Constantinos Costis Daskalakis
Spotlight	Ambient Proteins - Training Diffusion Models on Noisy Structures	Giannis Daras; Jeffrey Ouyang-Zhang; Krithika Ravishankar; Constantinos Costis Daskalakis; Adam Klivans; Daniel Jesus Diaz
Spotlight	Among Us: A Sandbox for Measuring and Detecting Agentic Deception	Satvik Golechha; Adrià Garriga-Alonso
Spotlight	An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation	UZAIR AKBAR; Niki Kilbertus; Hao Shen; Krikamol Muandet; Bo Dai
Spotlight	An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models	Binxu Wang; Cengiz Pehlevan
Spotlight	An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph	Tam Le; Truyen Nguyen; Hideitsu Hino; Kenji Fukumizu
Spotlight	An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination	Sukanya Patra; Souhaib Ben Taieb
Spotlight	AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection	Saleh Momeni; Changnan Xiao; Bing Liu
Spotlight	Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals	Qinsi Wang; Jinghan Ke; Hancheng Ye; Yueqian Lin; Yuzhe Fu; Jianyi Zhang; Kurt Keutzer; Chenfeng Xu; Yiran Chen
Spotlight	Angular Steering: Behavior Control via Rotation in Activation Space	Hieu M. Vu; Tan Minh Nguyen
Spotlight	Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses	Han Bao; Shinsaku Sakaue; Yuki Takezawa
Spotlight	Approximate Domain Unlearning for Vision-Language Models	Kodai Kawamura; Yuta Goto; Rintaro Yanagi; Hirokatsu Kataoka; Go Irie
Spotlight	Asymmetric Duos: Sidekicks Improve Uncertainty	Tim G. Zhou; Evan Shelhamer; Geoff Pleiss
Spotlight	Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models	Sreyan Ghosh; Arushi Goel; Jaehyeon Kim; Sonal Kumar; Zhifeng Kong; Sang-gil Lee; Chao-Han Huck Yang; Ramani Duraiswami; Dinesh Manocha; Rafael Valle; Bryan Ca…
Spotlight	AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping	Haonan Dong; Wenhao Zhu; Guojie Song; Liang Wang
Spotlight	AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling	Zhining Zhang; Chuanyang Jin; Mung Yao Jia; Shunchi Zhang; Tianmin Shu
Spotlight	Axial Neural Networks for Dimension-Free Foundation Models	Hyunsu Kim; Jonggeon Park; Joan Bruna; Hongseok Yang; Juho Lee
Spotlight	Balancing Multimodal Training Through Game-Theoretic Regularization	Konstantinos Kontras; Thomas Strypsteen; Christos Chatzichristos; Paul Pu Liang; Matthew B. Blaschko; Maarten De Vos
Spotlight	BayeSQP: Bayesian Optimization through Sequential Quadratic Programming	Paul Brunzema; Sebastian Trimpe
Spotlight	BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization	Qiwei Wang; Wu Shaoxun; Yujiao Shi
Spotlight	Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models	Xinran Wang; Jin Du; Azal Ahmad Khan; Qi Le; Enmao Diao; Jiawei Zhou; Jie Ding; Ali Anwar
Spotlight	Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs	Mehran Shakerinava; Siamak Ravanbakhsh; Adam Oberman
Spotlight	Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models	Tyler A. Chang; Ben Bergen
Spotlight	BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning	Jianyang Gu; Samuel Stevens; Elizabeth G Campolongo; Matthew J Thompson; Net Zhang; Jiaman Wu; Andrei Kopanev; Zheda Mai; Alexander E. White; James Balhoff; Wa…
Spotlight	Bipolar Self-attention for Spiking Transformers	Shuai Wang; Malu Zhang; Jingya Wang; Dehao Zhang; Yimeng Shan; Jieyuan Zhang; Yichen Xiao; Honglin Cao; Haonan Zhang; Zeyu Ma; Yang Yang; Haizhou Li
Spotlight	Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs	Masahiro Kaneko; Timothy Baldwin
Spotlight	Blackbox Model Provenance via Palimpsestic Membership Inference	Rohith Kuditipudi; Jing Huang; Sally Zhu; Diyi Yang; Christopher Potts; Percy Liang
Spotlight	Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models	Aloni Cohen
Spotlight	Boosting Generative Image Modeling via Joint Image-Feature Synthesis	Theodoros Kouzelis; Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis
Spotlight	Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs	Yunfeng Liao; Yangxin Wu; Xiucheng Li
Spotlight	Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling	Wentao Lu; Dong Nie; Pengcheng Xue; Zheng Cui; Piji Li; Daoqiang Zhang; Xuyun Wen
Spotlight	Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining	Raghuveer Thirukovalluru; Rui Meng; Ye Liu; Karthikeyan K; Mingyi Su; Ping Nie; Semih Yavuz; Yingbo Zhou; Wenhu Chen; Bhuwan Dhingra
Spotlight	Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness	Longwei Wang; Ifrat Ikhtear Uddin; KC Santosh; Chaowei Zhang; Xiao Qin; Yang Zhou
Spotlight	Bridging Theory and Practice in Link Representation with Graph Neural Networks	Veronica Lachi; Francesco Ferrini; Antonio Longa; Bruno Lepri; Andrea Passerini; Manfred Jaeger
Spotlight	Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations	Brian Siyuan Zheng; Alisa Liu; Orevaoghene Ahia; Jonathan Hayase; Yejin Choi; Noah A. Smith
Spotlight	CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs	Jan Hagnberger; Daniel Musekamp; Mathias Niepert
Spotlight	CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching	Chen Chen; Pengsheng Guo; Liangchen Song; Jiasen Lu; Rui Qian; Tsu-Jui Fu; Xinze Wang; Wei Liu; Yinfei Yang; Alex Schwing
Spotlight	CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering	Zhengqing Wang; Yuefan Wu; Jiacheng Chen; Fuyang Zhang; Yasutaka Furukawa
Spotlight	COOPERA: Continual Open-Ended Human-Robot Assistance	Chenyang Ma; Kai Lu; Ruta Desai; Xavier Puig; Andrew Markham; Niki Trigoni
Spotlight	CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding	Yuchen Zhou; Jiamin Wu; Zichen Ren; Zhouheng Yao; Weiheng Lu; Kunyu Peng; Qihao Zheng; Chunfeng Song; Wanli Ouyang; Chao Gou
Spotlight	CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D	Francis Rhys Ward; Teun van der Weij; Hanna Gábor; Sam Martin; Raja Mehta Moreno; Harel Lidar; Louis Makower; Thomas Jodrell; Lauren Robson
Spotlight	CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models	Shristi Das Biswas; Arani Roy; Kaushik Roy
Spotlight	Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?	Junchi Yu; Yujie Liu; Jindong Gu; Philip Torr; Dongzhan Zhou
Spotlight	Can We Infer Confidential Properties of Training Data from LLMs?	Pengrun Huang; Chhavi Yadav; Kamalika Chaudhuri; Ruihan Wu
Spotlight	Caption This, Reason That: VLMs Caught in the Middle	Zihan Weng; Lucas Gomez; Taylor Whittington Webb; Pouya Bashivan
Spotlight	Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning	Navita Goyal; Hal Daumé III; Alexandre Drouin; Dhanya Sridhar
Spotlight	CausalPFN: Amortized Causal Effect Estimation via In-Context Learning	Vahid Balazadeh; Hamidreza Kamkari; Valentin Thomas; Junwei Ma; Bingru Li; Jesse C. Cresswell; Rahul Krishnan
Spotlight	Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems	Hao Liang; Shuqing Shi; Yudi Zhang; Biwei Huang; Yali Du
Spotlight	Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment	Bryan Sangwoo Kim; Jeongsol Kim; Jong Chul Ye
Spotlight	Characterizing control between interacting subsystems with deep Jacobian estimation	Adam Joseph Eisen; Mitchell Ostrow; Sarthak Chandra; Leo Kozachkov; Earl K Miller; Ila R Fiete
Spotlight	Characterizing the Expressivity of Fixed-Precision Transformer Language Models	Jiaoda Li; Ryan Cotterell
Spotlight	Checklists Are Better Than Reward Models For Aligning Language Models	Vijay Viswanathan; Yanchao Sun; Xiang Kong; Meng Cao; Graham Neubig; Tongshuang Wu
Spotlight	Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution	Jacob Lin; Edward Gryspeerdt; Ronald Clark
Spotlight	Clustering via Hedonic Games: New Concepts and Algorithms	Gergely Csáji; Alexander Gundert; Jörg Rothe; Ildikó Schlotter
Spotlight	Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning	Yinjie Wang; Ling Yang; Ye Tian; Ke Shen; Mengdi Wang
Spotlight	Co-Reinforcement Learning for Unified Multimodal Understanding and Generation	Jingjing Jiang; Chongjie Si; Jun Luo; Hanwang Zhang; Chao Ma
Spotlight	CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates	Tianyu Chen; Vansh Bansal; James G. Scott
Spotlight	CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision	Awni Altabaa; Omar Montasser; John Lafferty
Spotlight	Color Conditional Generation with Sliced Wasserstein Guidance	Alexander Lobashev; Maria Larchenko; Dmitry Guskov
Spotlight	Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo	Zachary Charles; Gabriel Teston; Lucio M. Dery; J Keith Rush; Nova Fallen; Zachary Garrett; Arthur Szlam; Arthur Douillard
Spotlight	Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games	Soumita Hait; Ping Li; Haipeng Luo; Mengxiao Zhang
Spotlight	Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning	Yang Chen; Yirun Zhou; WEIZHONG ZHANG; Cheng Jin
Spotlight	Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data	Lingkai Kong; Haichuan Wang; Tonghan Wang; GUOJUN XIONG; Milind Tambe
Spotlight	Compositional Monte Carlo Tree Diffusion for Extendable Planning	Jaesik Yoon; Hyeonseo Cho; Sungjin Ahn
Spotlight	Compositional Neural Network Verification via Assume-Guarantee Reasoning	Hai Duong; David Shriver; ThanhVu Nguyen; Matthew B. Dwyer
Spotlight	Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples	Shiva Sreeram; Alaa Maalouf; Pratyusha Sharma; Daniela Rus
Spotlight	Computational Efficiency under Covariate Shift in Kernel Ridge Regression	Andrea Della Vecchia; Arnaud Mavakala Watusadisi; Ernesto De Vito; Lorenzo Rosasco
Spotlight	ConTextTab: A Semantics-Aware Tabular In-Context Learner	Marco Spinaci; Marek Polewczyk; Maximilian Schambach; Sam Thelin
Spotlight	Conditional Representation Learning for Customized Tasks	Honglin Liu; Chao Sun; Peng Hu; Yunfan Li; Xi Peng
Spotlight	Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text	Zhange Zhang; Zhicheng Geng; Yuqing Ma; Tianbo Wang; Kai Lv; Xianglong Liu
Spotlight	Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees	Daniel Ovalle; Lorenz T. Biegler; Ignacio E Grossmann; Carl D Laird; Mateo Dulce Rubio
Spotlight	Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning	Dravyansh Sharma; Alec Sun
Spotlight	Continuous Thought Machines	Luke Nicholas Darlow; Ciaran Regan; Sebastian Risi; Jeffrey Seely; Llion Jones
Spotlight	Controlling Thinking Speed in Reasoning Models	Zhengkai Lin; Zhihang Fu; Ze Chen; Chao Chen; Liang Xie; Wenxiao Wang; Deng Cai; Zheng Wang; Jieping Ye
Spotlight	Convergence Rates of Constrained Expected Improvement	Haowei Wang; Jingyi Wang; Zhongxiang Dai; Nai-Yuan Chiang; Szu Hui Ng; Cosmin G. Petra
Spotlight	Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems	Elfarouk Harb; Yousef Yassin; Chandra Chekuri
Spotlight	Cost-Aware Contrastive Routing for LLMs	Reza Shirkavand; Shangqian Gao; Peiran Yu; Heng Huang
Spotlight	Cost-aware LLM-based Online Dataset Annotation	Eray Can Elumar; Cem Tekin; Osman Yagan
Spotlight	Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning	Ezgi Korkmaz
Spotlight	Credal Prediction based on Relative Likelihood	Timo Löhr; Paul Hofman; Felix Mohr; Eyke Hüllermeier
Spotlight	Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training	William Merrill; Shane Arora; Dirk Groeneveld; Hannaneh Hajishirzi
Spotlight	Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL	Xingyu Chen; Shihao Ma; Runsheng Lin; Jiecong Lin; BO WANG
Spotlight	Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation	Xiang Li; Zirui Wang; Zixuan Huang; James Matthew Rehg
Spotlight	Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity	Hugo Ninou; Jonathan Kadmon; N Alex Cayco Gajic
Spotlight	Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization	Shaohan Li; Yunpeng Shi; Gilad Lerman
Spotlight	DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization	Jiacai Liu; Chaojie Wang; Chris Yuhao Liu; Liang Zeng; Rui Yan; Yiwen Sun; Yang Liu
Spotlight	DERD-Net: Learning Depth from Event-based Ray Densities	Diego de Oliveira Hitzges; Suman Ghosh; Guillermo Gallego
Spotlight	DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models	Simone Carnemolla; Matteo Pennisi; Sarinda Samarasinghe; Giovanni Bellitto; Simone Palazzo; Daniela Giordano; Mubarak Shah; Concetto Spampinato
Spotlight	DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks	Canyu Zhao; Yanlong Sun; Mingyu Liu; Huanyi Zheng; Muzhi Zhu; Zhiyue Zhao; Hao Chen; Tong He; Chunhua Shen
Spotlight	DMWM: Dual-Mind World Model with Long-Term Imagination	Lingyi Wang; Rashed Shelim; Walid Saad; Naren Ramakrishnan
Spotlight	DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm	Xiaowei Zhu; Yubing Ren; Fang Fang; Qingfeng Tan; Shi Wang; Yanan Cao
Spotlight	DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing	Chenxi Xie; Minghan Li; Shuai Li; Yuhui Wu; Qiaosi Yi; Lei Zhang
Spotlight	Data Mixing Can Induce Phase Transitions in Knowledge Acquisition	Xinran Gu; Kaifeng Lyu; Jiazheng Li; Jingzhao Zhang
Spotlight	DeCaFlow: A deconfounding causal generative model	Alejandro Almodóvar; Adrián Javaloy; Juan Parras; Santiago Zazo; Isabel Valera
Spotlight	Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?	Hyeong Kyu Choi; Jerry Zhu; Sharon Li
Spotlight	Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery	Zhe Zhao; HaiBin Wen; Xianfu Liu; Rui Mao; Pengkun Wang; Liheng Yu; Linjiang Chen; Bo An; Qingfu Zhang; Yang Wang
Spotlight	Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components	Abel Jansma
Spotlight	Decomposing stimulus-specific sensory neural information via diffusion models	Steeve Laquitaine; Simone Azeglio; Carlo Paris; Ulisse Ferrari; Matthew Chalk
Spotlight	Deep Continuous-Time State-Space Models for Marked Event Sequences	Yuxin Chang; Alex James Boyd; Cao Xiao; Taha Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington
Spotlight	Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences	Joshua Ashkinaze; Hua Shen; Sai Avula; Eric Gilbert; Ceren Budak
Spotlight	DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning	Wenxuan Shi; Haochen Tan; Chuqiao Kuang; Xiaoguang Li; Hanting Chen; Xiaozhe Ren; Yasheng Wang; Lu Hou; Lifeng Shang
Spotlight	DeepHalo: A Neural Choice Model with Controllable Context Effects	Shuhan Zhang; Zhi Wang; Rui Gao; Shuang Li
Spotlight	DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method	Qingwen Zhang; Xiaomeng Zhu; Yushan Zhang; Yixi Cai; Olov Andersson; Patric Jensfelt
Spotlight	Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method	Han Xu; Yuyang Li; Yunfei Deng; Jiayi Ma; Guangcan Liu
Spotlight	Dense Associative Memory with Epanechnikov Energy	Benjamin Hoover; Zhaoyang Shi; Krishna Balasubramanian; Dmitry Krotov; Parikshit Ram
Spotlight	DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models	Ziyi Wu; Anil Kag; Ivan Skorokhodov; Willi Menapace; Ashkan Mirzaei; Igor Gilitschenski; Sergey Tulyakov; Aliaksandr Siarohin
Spotlight	Depth-Width Tradeoffs for Transformers on Graph Tasks	Gilad Yehudai; Clayton Sanford; Maya Bechler-Speicher; Orr Fischer; Ran Gilad-Bachrach; Amir Globerson
Spotlight	Detecting Generated Images by Fitting Natural Image Distributions	Yonggang Zhang; Jun Nie; Xinmei Tian; Mingming Gong; Kun Zhang; Bo Han
Spotlight	DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation	Kefei Zhu; Fengshuo Bai; YuanHao Xiang; Yishuai Cai; Xinglin Chen; Ruochong Li; Xingtao Wang; Hao Dong; Yaodong Yang; Xiaopeng Fan; Yuanpei Chen
Spotlight	DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy	Yuran Wang; Ruihai Wu; Yue Chen; Jiarui Wang; Jiaqi Liang; Ziyu Zhu; Haoran Geng; Jitendra Malik; Pieter Abbeel; Hao Dong
Spotlight	DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling	Yuang Ai; Qihang Fan; Xuefeng Hu; Zhenheng Yang; Ran He; Huaibo Huang
Spotlight	Differentiable Cyclic Causal Discovery Under Unmeasured Confounders	Muralikrishnna Guruswamy Sethuraman; Faramarz Fekri
Spotlight	Differentiable Decision Tree via "ReLU+Argmin" Reformulation	Qiangqiang Mao; Jiayang Ren; Yixiu Wang; Chenxuanyin Zou; Jingjing Zheng; Yankai Cao
Spotlight	Differentiable Hierarchical Visual Tokenization	Marius Aasan; Martine Hjelkrem-Tan; Nico Catalano; Changkyu Choi; Adín Ramírez Rivera
Spotlight	Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization	Chris Kolb; Laetitia Frost; Bernd Bischl; David Rügamer
Spotlight	Differential Privacy on Fully Dynamic Streams	Yuan Qiu; Ke Yi
Spotlight	Diffusion Generative Modeling on Lie Group Representations	Marco Bertolini; Tuan Le; Djork-Arné Clevert
Spotlight	Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics	Tobias Würth; Niklas Freymuth; Gerhard Neumann; Luise Kärger
Spotlight	Dimension-adapted Momentum Outscales SGD	Damien Ferbach; Katie Everett; Gauthier Gidel; Elliot Paquette; Courtney Paquette
Spotlight	Direct Fisher Score Estimation for Likelihood Maximization	Sherman Khoo; Yakun Wang; Song Liu; Mark Beaumont
Spotlight	DisMo: Disentangled Motion Representations for Open-World Motion Transfer	Thomas Ressler-Antal; Frank Fundel; Malek Ben Alaya; Stefan Andreas Baumann; Felix Krause; Ming Gui; Björn Ommer
Spotlight	Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling	Javier E. Santos; Agnese Marcato; Roman Colman; Nicholas Lubbers; Yen Ting Lin
Spotlight	Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition	Jongseo Lee; Wooil Lee; Gyeong-Moon Park; Seong Tae Kim; Jinwoo Choi
Spotlight	Distillation Robustifies Unlearning	Bruce W. Lee; Addie Foote; Alex Infanger; Leni Shor; Harish K Kamath; Jacob Goldman-Wetzler; Bryce Woodworth; Alex Cloud; Alexander Matt Turner
Spotlight	Distilling LLM Agent into Small Models with Retrieval and Code Tools	Minki Kang; Jongwon Jeong; Seanie Lee; Jaewoong Cho; Sung Ju Hwang
Spotlight	Distributional Training Data Attribution: What do Influence Functions Sample?	Bruno Kacper Mlodozeniec; Isaac Reid; Samuel Power; David Krueger; Murat A Erdogdu; Richard E. Turner; Roger Baker Grosse
Spotlight	Diversity-Aware Policy Optimization for Large Language Model Reasoning	Jian Yao; Ran Cheng; Xingyu Wu; Jibin Wu; KC Tan
Spotlight	Do-PFN: In-Context Learning for Causal Effect Estimation	Jake Robertson; Arik Reuter; Siyuan Guo; Noah Hollmann; Frank Hutter; Bernhard Schölkopf
Spotlight	Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers?	Yihao Li; Saeed Salehi; Lyle Ungar; Konrad Kording
Spotlight	Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable	Ruoxin Chen; Junwei Xi; Zhiyuan Yan; Ke-Yue Zhang; Shuang Wu; Jingyi Xie; Xu Chen; Lei Xu; Isabel Guan; Taiping Yao; Shouhong Ding
Spotlight	Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm	Konstantin Makarychev; Ilias Papanikolaou; Liren Shan
Spotlight	E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products	Yunyang Li; Lin Huang; Zhihao Ding; Xinran Wei; Chu Wang; Han Yang; Zun Wang; Chang Liu; Yu Shi; Peiran Jin; Tao Qin; Mark Gerstein; Jia Zhang
Spotlight	EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes	Xiaoshan Wu; Yifei Yu; Xiaoyang Lyu; Yi-Hua Huang; Bo Wang; Baoheng Zhang; Zhongrui Wang; XIAOJUAN QI
Spotlight	EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling	Jia-Hua Lee; Bor-Jiun Lin; Wei-Fang Sun; Chun-Yi Lee
Spotlight	EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting	Bohao Liao; Wei Zhai; Zengyu Wan; Zhixin Cheng; Wenfei Yang; Yang Cao; Tianzhu Zhang; Zheng-Jun Zha
Spotlight	EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis	Yancheng Zhang; Guangyu Sun; Chen Chen
Spotlight	ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals	Jonas Elsborg; Luca Thiede; Alan Aspuru-Guzik; Tejs Vegge; Arghya Bhowmik
Spotlight	ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators	Armand Kassaï Koupaï; Lise Le Boudec; Louis Serrano; Patrick Gallinari
Spotlight	ESCA: Contextualizing Embodied Agents via Scene-Graph Generation	Jiani Huang; Amish Sethi; Matthew Kuo; Mayank Keoliya; Neelay Velingker; JungHo Jung; Ser-Nam Lim; Ziyang Li; Mayur Naik
Spotlight	Efficient Fairness-Performance Pareto Front Computation	Mark Kozdoba; Binyamin Perets; Shie Mannor
Spotlight	Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem	Yichen Li; Yijing Shan; YI LIU; Haozhao Wang; Cheng Wang; wangshi.ww; Yi Wang; Ruixuan Li
Spotlight	Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference	Weizhi Fei; Xueyan Niu; XIE GUOQING; Yingqing Liu; Bo Bai; Wei Han
Spotlight	ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets	Bohdan Turbal; Iryna Voitsitska; Lesia Semenova
Spotlight	Eluder dimension: localise it!	Alireza Bakhtiari; Alex Ayoub; Samuel McLaughlin Robertson; David Janz; Csaba Szepesvari
Spotlight	Emergence and Evolution of Interpretable Concepts in Diffusion Models	Berk Tinaz; Zalan Fabian; Mahdi Soltanolkotabi
Spotlight	Enhancing CLIP Robustness via Cross-Modality Alignment	Xingyu Zhu; Beier Zhu; Shuo Wang; Kesen Zhao; Hanwang Zhang
Spotlight	Enhancing Contrastive Learning with Variable Similarity	Haowen Cui; Shuo Chen; Jun Li; Jian Yang
Spotlight	Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks	Huanming Shen; Baizhou Huang; Xiaojun Wan
Spotlight	Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective	Xingjian Wu; Xiangfei Qiu; Hanyin Cheng; Zhengyu Li; Jilin Hu; Chenjuan Guo; Bin Yang
Spotlight	Enhancing Training Data Attribution with Representational Optimization	Weiwei Sun; Haokun Liu; Nikhil Kandpal; Colin Raffel; Yiming Yang
Spotlight	Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles	Jiangjie Chen; Qianyu He; Siyu Yuan; Aili Chen; Zhicheng Cai; Weinan Dai; Hongli Yu; Jiaze Chen; Xuefeng Li; Qiying Yu; Hao Zhou; Mingxuan Wang
Spotlight	Environment Inference for Learning Generalizable Dynamical System	Shixuan Liu; Yue He; Haotian Wang; Wenjing Yang; Yunfei Wang; Peng Cui; Zhong Liu
Spotlight	EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment	Naga Sai Abhiram kusumba; Maitreya Patel; Kyle Min; Changhoon Kim; Chitta Baral; Yezhou Yang
Spotlight	Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism	Mete Erdogan; Cengiz Pehlevan; Alper Tunga Erdogan
Spotlight	Error Forcing in Recurrent Neural Networks	A Erdem Sağtekin; Colin Bredenberg; Cristina Savin
Spotlight	ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space	Chuanchao Zang; Xiangtao Meng; Wenyu Chen; Tianshuo Cong; Zha Yaxing; Dong Qi; Zheng Li; Shanqing Guo
Spotlight	Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning	Alexander Bodard; Panagiotis Patrinos
Spotlight	Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses	Yuzhou Cao; Han Bao; Lei Feng; Bo An
Spotlight	Estimating cognitive biases with attention-aware inverse planning	Sounak Banerjee; Daphne Cornelisse; Deepak Edakkattil Gopinath; Emily Sumner; Jonathan DeCastro; Guy Rosman; Eugene Vinitsky; Mark K Ho
Spotlight	EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks	Rikuto Kotoge; Zheng Chen; Tasuku Kimura; Yasuko Matsubara; Takufumi Yanagisawa; Haruhiko Kishima; Yasushi Sakurai
Spotlight	Exploration via Feature Perturbation in Contextual Bandits	Seouh-won Yi; Min-hwan Oh
Spotlight	Extracting task-relevant preserved dynamics from contrastive aligned neural recordings	Yiqi Jiang; Kaiwen Sheng; Yujia Gao; E. Kelly Buchanan; Yu Shikano; Seung Je Woo; Yixiu Zhao; Tony Hyun Kim; Fatih Dinc; Scott Linderman; Mark Schnitzer
Spotlight	Extrapolation by Association: Length Generalization Transfer In Transformers	Ziyang Cai; Nayoung Lee; Avi Schwarzschild; Samet Oymak; Dimitris Papailiopoulos
Spotlight	FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction	Ruizhe Zheng; Lingyan Mao; DINGDING HAN; Tian Luo; Yi Wang; Jing Ding; Yuguo Yu
Spotlight	FFN Fusion: Rethinking Sequential Computation in Large Language Models	Akhiad Bercovich; Mohammed Dabbah; Omri Puny; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Ehud Dov Karpas; Itay Levy; Zach Moshe; Najeeb Nabwani; T…
Spotlight	FP4 All the Way: Fully Quantized Training of Large Language Models	Brian Chmiel; Maxim Fishman; Ron Banner; Daniel Soudry
Spotlight	FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion	Akide Liu; Zeyu Zhang; Zhexin Li; Xuehai Bai; Yuanjie Xing; Yizeng Han; Jiasheng Tang; Jichao Wu; Mingyang Yang; Weihua Chen; Jiahao He; Yuanyu He; Fan Wang; G…
Spotlight	FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities	Jin Wang; Yao Lai; Aoxue Li; Shifeng Zhang; Jiacheng Sun; Ning Kang; Chengyue Wu; Zhenguo Li; Ping Luo
Spotlight	Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment	Woojun Kim; Katia P. Sycara
Spotlight	Fast MRI for All: Bridging Access Gaps by Training without Raw Data	Yasar Utku Alcalar; Merve Gulle; Mehmet Akcakaya
Spotlight	Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning	Jaesik Yoon; Hyeonseo Cho; Yoshua Bengio; Sungjin Ahn
Spotlight	Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set	Chenghao Liu; Enming Liang; Minghua Chen
Spotlight	Fast Training of Large Kernel Models with Delayed Projections	Amirhesam Abedsoltan; Siyuan Ma; Parthe Pandit; Mikhail Belkin
Spotlight	Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning	Yeongbin Seo; Dongha Lee; Jaehyung Kim; Jinyoung Yeo
Spotlight	Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning	Wenyi Xiao; Leilei Gan
Spotlight	Feedback-Aware MCTS for Goal-Oriented Information Seeking	Harshita Chopra; Chirag Shah
Spotlight	Fine-grained List-wise Alignment for Generative Medication Recommendation	Chenxiao Fan; Chongming Gao; Wentao Shi; Yaxin Gong; Zhao Zihao; Fuli Feng
Spotlight	Fisher meets Feynman: score-based variational inference with a product of experts	Diana Cai; Robert M. Gower; David Blei; Lawrence K. Saul
Spotlight	Fixed-Point RNNs: Interpolating from Diagonal to Dense	Sajad Movahedi; Felix Sarnthein; Nicola Muca Cirone; Antonio Orvieto
Spotlight	Flash Invariant Point Attention	Andrew Liu; Axel Elaldi; Nicholas T Franklin; Nathan Russell; Gurinder S. Atwal; Yih-En Andrew Ban; Olivia Viessmann
Spotlight	FlashMD: long-stride, universal prediction of molecular dynamics	Filippo Bigi; Sanggyu Chong; Agustinus Kristiadi; Michele Ceriotti
Spotlight	Flattening Hierarchies with Policy Bootstrapping	John Luoyu Zhou; Jonathan Kao
Spotlight	FlexOLMo: Open Language Models for Flexible Data Use	Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Jacob Morrison; Evan Pete Walsh; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger…
Spotlight	Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning	Riccardo De Santi; Marin Vlastelica; Ya-Ping Hsieh; Zebang Shen; Niao He; Andreas Krause
Spotlight	Flow Equivariant Recurrent Neural Networks	T. Anderson Keller
Spotlight	FlowFeat: Pixel-Dense Embedding of Motion Profiles	Nikita Araslanov; Anna Ribic; Daniel Cremers
Spotlight	Forecasting in Offline Reinforcement Learning for Non-stationary Environments	Suzan Ece Ada; Georg Martius; Emre Ugur; Erhan Oztop
Spotlight	Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models	Lvmin Zhang; Shengqu Cai; Muyang Li; Gordon Wetzstein; Maneesh Agrawala
Spotlight	From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks	Awa Khouna; Julien Ferry; Thibaut Vidal
Spotlight	From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots	Yuxuan Wang; Ming Yang; Ziluo Ding; Yu Zhang; Weishuai Zeng; Xinrun Xu; Haobin Jiang; Zongqing Lu
Spotlight	From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers	Ryotaro Kawata; Yujin Song; Alberto Bietti; Naoki Nishikawa; Taiji Suzuki; Samuel Vaiter; Denny Wu
Spotlight	Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance	Xiaochen Shang; Luo Pengwei; Xinning Wang; Jiayue Zhao; Huilin Ge; Bo Dong; Xin Yang
Spotlight	Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules	Binghui Li; Fengling Chen; Zixun Huang; Lean Wang; Lei Wu
Spotlight	FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving	Shuang Zeng; Xinyuan Chang; Mengwei Xie; Xinran Liu; Yifan Bai; Zheng Pan; Mu Xu; Xing Wei
Spotlight	G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems	Guibin Zhang; Muxin Fu; Kun Wang; Guancheng Wan; Miao Yu; Shuicheng YAN
Spotlight	GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis	Kang Yang; Gaofeng Dong; Sijie Ji; Wan Du; Mani Srivastava
Spotlight	Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS	Tao Wang; Mengyu Li; Geduo Zeng; Cheng Meng; Qiong Zhang
Spotlight	GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving	Shuai Liu; Quanmin Liang; Zefeng Li; Boyang Li; Kai Huang
Spotlight	Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span	Heeseung Yun; Joonil Na; Jaeyeon Kim; Calvin Murdock; Gunhee Kim
Spotlight	GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals	Jiachen Lu; Hailan Shanbhag; Haitham Al Hassanieh
Spotlight	GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation	Yi Dong; Yuxi Wang; Xianhui Lin; Wenqi Ouyang; Zhiqi Shen; Peiran Ren; Ruoxi Fan; Rynson W. H. Lau
Spotlight	Generalizable Insights for Graph Transformers in Theory and Practice	Timo Stoll; Luis Müller; Christopher Morris
Spotlight	Generalizable Reasoning through Compositional Energy Minimization	Alexandru Oarga; Yilun Du
Spotlight	Generalized Top-k Mallows Model for Ranked Choices	Shahrzad Haddadan; Sara Ahmadian
Spotlight	Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks	Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo De Veciana
Spotlight	Generative Trajectory Stitching through Diffusion Composition	Yunhao Luo; Utkarsh Aashu Mishra; Yilun Du; Danfei Xu
Spotlight	GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution	Fengxiang Wang; Mingshuo Chen; Yueying Li; Di Wang; Haotian Wang; Zonghao Guo; Zefan Wang; Shan Boqi; Long Lan; Yulin Wang; Hongzhen Wang; Wenjing Yang; Bo Du;…
Spotlight	GeoRemover: Removing Objects and Their Causal Visual Artifacts	Zixin Zhu; Haoxiang Li; Xuelu Feng; He Wu; Chunming Qiao; Junsong Yuan
Spotlight	GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction	Jiahe Li; Jiawei Zhang; Youmin Zhang; Xiao Bai; Jin Zheng; Xiaohan Yu; Lin Gu
Spotlight	Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts	Benjamin Schiffer; Mark Sellke
Spotlight	Go With the Flow: Fast Diffusion for Gaussian Mixture Models	George Rapakoulias; Ali Reza Pedram; Fengjiao Liu; Lingjiong Zhu; Panagiotis Tsiotras
Spotlight	GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning	Yeonjoon Jung; Daehyun Ahn; Hyungjun Kim; Taesu Kim; Eunhyeok Park
Spotlight	Gradient Variance Reveals Failure Modes in Flow-Based Generative Models	Teodora Reu; Sixtine Dromigny; Michael M. Bronstein; Francisco Vargas
Spotlight	Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness	Yuheng Zhao; Yu-Hu Yan; Kfir Yehuda Levy; Peng Zhao
Spotlight	Graph-Based Attention for Differentiable MaxSAT Solving	Sota Moriyama; Katsumi Inoue
Spotlight	GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments	Enjun Du; Xunkai Li; Tian Jin; Zhihan Zhang; Rong-Hua Li; Guoren Wang
Spotlight	Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry	Masanari Kimura
Spotlight	Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions	Dionysis Arvanitakis; Vaidehi Srinivas; Aravindan Vijayaraghavan
Spotlight	HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs	Ningning CHEN; Weicai Ye; Ying Jiang
Spotlight	HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models	Yu Zhou; Xingyu Wu; Jibin Wu; Liang Feng; KC Tan
Spotlight	HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning	Guancheng Wan; Xiaoran Shang; Yuxin Wu; Guibin Zhang; Jinhe Bi; Liangtao Zheng; Xin Lin; Yue Liu; Yanbiao Ma; Wenke Huang; Bo Du
Spotlight	Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time	Qiang Fu; Andre Wibisono
Spotlight	Head Pursuit: Probing Attention Specialization in Multimodal Transformers	Lorenzo Basile; Valentino Maiorca; Diego Doimo; Francesco Locatello; Alberto Cazzaniga
Spotlight	Hierarchical Shortest-Path Graph Kernel Network	Jiaxin Wang; Wenxuan Tu; Jieren Cheng
Spotlight	High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search	Xilin Xia; Jie Wang; Wanbo Zhang; Zhihai Wang; Mingxuan Yuan; Jianye HAO; Feng Wu
Spotlight	High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction	Seongsu Kim; Nayoung Kim; Dongwoo Kim; Sungsoo Ahn
Spotlight	Hogwild! Inference: Parallel LLM Generation via Concurrent Attention	Gleb Rodionov; Roman Garipov; Alina Shutova; George Yakushev; Erik Schultheis; Vage Egiazarian; Anton Sinitsin; Denis Kuznedelev; Dan Alistarh
Spotlight	HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios	Kunyu Peng; Junchao Huang; Xiangsheng Huang; Di Wen; Junwei Zheng; Yufan Chen; Kailun Yang; Jiamin Wu; Chongqing Hao; Rainer Stiefelhagen
Spotlight	Horizon Reduction Makes RL Scalable	Seohong Park; Kevin Frans; Deepinder Mann; Benjamin Eysenbach; Aviral Kumar; Sergey Levine
Spotlight	How Well Can Differential Privacy Be Audited in One Run?	Amit Keinan; Moshe Shenfeld; Katrina Ligett
Spotlight	How do Transformers Learn Implicit Reasoning?	Jiaran Ye; Zijun Yao; Zhidian Huang; Liangming Pan; Jinxin Liu; Yushi Bai; Amy Xin; Liu Weichuan; Xiaoyin Che; Lei Hou; Juanzi Li
Spotlight	How many measurements are enough? Bayesian recovery in inverse problems with general distributions	Ben Adcock; Nick Huang
Spotlight	HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions	Rafael Bischof; Michal Piovarci; Michael Anton Kraus; Siddhartha Mishra; Bernd Bickel
Spotlight	Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems	Ni Zhang; Zhiguang Cao
Spotlight	Hyperbolic Fine-Tuning for Large Language Models	Menglin Yang; Ram Samarth B B; Aosong Feng; Bo Xiong; Jiahong Liu; Irwin King; Rex Ying
Spotlight	IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning	Xiong Zhang; Zhenli He; Changlong Fu; Cheng Xie
Spotlight	Imitation Beyond Expectation Using Pluralistic Stochastic Dominance	Ali Farajzadeh; Danyal Saeed; Syed M Abbas; Rushit N. Shah; Aadirupa Saha; Brian D Ziebart
Spotlight	Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data	Chen Fan; Mark Schmidt; Christos Thrampoulidis
Spotlight	Improved Bounds for Swap Multicalibration and Swap Omniprediction	Haipeng Luo; Spandan Senapati; Vatsal Sharan
Spotlight	Improved Representation Steering for Language Models	Zhengxuan Wu; Qinan Yu; Aryaman Arora; Christopher D Manning; Christopher Potts
Spotlight	Improving Bilinear RNN with Closed-loop Control	Jiaxi Hu; Yongqi Pan; Jusen Du; Disen Lan; Xiaqiang Tang; Qingsong Wen; Yuxuan Liang; Weigao Sun
Spotlight	Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias	Xinyan Liang; ShuaiLi; Qian Guo; Yuhua Qian; Bingbing Jiang; Tingjin Luo; Liang Du
Spotlight	Improving LLM General Preference Alignment via Optimistic Online Mirror Descent	Yuheng Zhang; Dian Yu; Tao Ge; Linfeng Song; Zhichen Zeng; Haitao Mi; Nan Jiang; Dong Yu
Spotlight	Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration	Thomas Decker; Volker Tresp; Florian Buettner
Spotlight	Incremental Sequence Classification with Temporal Consistency	Lucas Maystre; Gabriel Barello; Tudor Berariu; Aleix Cambray; Rares Dolga; Alvaro Ortega Gonzalez; Andrei Cristian Nica; David Barber
Spotlight	InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions	Liangjian Wen; Qun Dai; Jianzhuang Liu; Jiangtao Zheng; Yong Dai; Dongkai Wang; zhao kang; Jun Wang; Zenglin Xu; Jiang Duan
Spotlight	Inference-Time Reward Hacking in Large Language Models	Hadi Khalaf; Claudio Mayrink Verdun; Alex Oesterling; Himabindu Lakkaraju; Flavio Calmon
Spotlight	InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models	Yanggan Gu; Yuanyi Wang; Zhaoyi Yan; Yiming Zhang; Qi Zhou; Fei Wu; Hongxia Yang
Spotlight	Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes	Haonan Wang; Hanyu Zhou; Haoyue Liu; Luxin Yan
Spotlight	Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination	Rakshit Trivedi; Kartik Sharma; David C. Parkes
Spotlight	Instance-Optimality for Private KL Distribution Estimation	Jiayuan Ye; Vitaly Feldman; Kunal Talwar
Spotlight	InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection	Jinguo Luo; Weihong Ren; Quanlong Zheng; Yanhao Zhang; Zhenlong Yuan; Zhiyong Wang; Haonan Lu; Honghai LIU
Spotlight	Integration Matters for Learning PDEs with Backward SDEs	Sungje Park; Stephen Tu
Spotlight	Is Grokking a Computational Glass Relaxation?	Xiaotian Zhang; Yue Shang; Entao Yang; Ge Zhang
Spotlight	Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models	Jipeng Li; Yanning Shen
Spotlight	Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers	Florence Regol; Joseph Cotnareanu; Theodore Glavas; Mark Coates
Spotlight	Jacobian-Based Interpretation of Nonlinear Neural Encoding Model	Xiaohui Gao; Haoran Yang; Yue Cheng; Mengfei Zuo; Yiheng Liu; Peiyang Li; Xintao Hu
Spotlight	JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation	Kai Liu; Jungang Li; Yuchong Sun; Shengqiong Wu; jianzhang gao; Daoan Zhang; Wei Zhang; Sheng Jin; Sicheng Yu; Geng Zhan; Jiayi Ji; Fan Zhou; Liang Zheng; Shui…
Spotlight	Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance	Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon
Spotlight	Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning	Hugues Van Assel; Mark Ibrahim; Tommaso Biancalani; Aviv Regev; Randall Balestriero
Spotlight	KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment	Yuxing Lu; Wei Wu; Xukai Zhao; Rui Peng; Jinzhuo Wang
Spotlight	KLASS: KL-Guided Fast Inference in Masked Diffusion Models	Seo Hyun Kim; Sunwoo Hong; Hojung Jung; Youngrok Park; Se-Young Yun
Spotlight	KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation	Jiajun Shi; Jian Yang; Jiaheng Liu; Xingyuan Bu; Jiangjie Chen; Junting Zhou; Kaijing Ma; Zhoufutu Wen; Bingli Wang; Yancheng He; Liang Song; Hualei Zhu; Shilo…
Spotlight	Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better	Danny Driess; Jost Tobias Springenberg; brian ichter; LILI YU; Adrian Li-Bell; Karl Pertsch; Allen Z. Ren; Homer Walke; Quan Vuong; Lucy Xiaoyang Shi; Sergey L…
Spotlight	L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias	jingxiao zhang; Shifei Ding; Jian Zhang; Lili Guo; Xuan Li
Spotlight	LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process	Huiyang Shao; Xin Xia; Yuxi Ren; XING WANG; Xuefeng Xiao
Spotlight	LLM Meeting Decision Trees on Tabular Data	Hangting Ye; Jinmeng Li; He Zhao; Dandan Guo; Yi Chang
Spotlight	LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models	Qianyue Hao; Yiwen Song; Qingmin Liao; Jian Yuan; Yong Li
Spotlight	LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering	Jonas Kulhanek; Marie-Julie Rakotosaona; Fabian Manhardt; Christina Tsalicoglou; Michael Niemeyer; Torsten Sattler; Songyou Peng; Federico Tombari
Spotlight	LaViDa: A Large Diffusion Language Model for Multimodal Understanding	Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover
Spotlight	Language Modeling by Language Models	Junyan Cheng; Peter Clark; Kyle Richardson
Spotlight	Language Models can Self-Improve at State-Value Estimation for Better Search	Ethan Mendes; Alan Ritter
Spotlight	Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution	Zhanyi Sun; Shuran Song
Spotlight	LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation	Huanlin Gao; Ping Chen; Fuyuan Shi; Chao Tan; Zhaoxiang Liu; Fang Zhao; Kai Wang; Shiguo Lian
Spotlight	Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing	Manchao Bao; Shengjiang Fang; Tao Yue; Xuemei Hu
Spotlight	Learnable Sampler Distillation for Discrete Diffusion Models	Feiyang Fu; Tongxian Guo; Zhaoqiang Liu
Spotlight	Learning Interestingness in Automated Mathematical Theory Formation	George Tsoukalas; Rahul Saha; Amitayush Thakur; Sabrina Reguyal; Swarat Chaudhuri
Spotlight	Learning Robust Vision-Language Models from Natural Latent Spaces	Zhangyun Wang; Ni Ding; Aniket Mahanti
Spotlight	Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models	Chantal Shaib; Vinith Menon Suriyakumar; Byron C Wallace; Marzyeh Ghassemi
Spotlight	Learning to Factorize Spatio-Temporal Foundation Models	Siru Zhong; Junjie Qiu; Yangyu Wu; Xingchen Zou; Zhongwen Rao; Bin Yang; Chenjuan Guo; Hao Xu; Yuxuan Liang
Spotlight	Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting	Wei Chen; Yuxuan Liang
Spotlight	Less is More: Improving LLM Alignment via Preference Data Selection	Xun Deng; Han Zhong; Rui Ai; Fuli Feng; Zheng Wang; Xiangnan He
Spotlight	Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators	Albert Matveev; Sanmitra Ghosh; Aamal Hussain; James-Michael Leahy; Michalis Michaelides
Spotlight	LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers	Yusuf Dalva; Hidir Yesiltepe; Pinar Yanardag
Spotlight	LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers	Liting Lin; Heng Fan; Zhipeng Zhang; Yuqing Huang; Yaowei Wang; Yong Xu; Haibin Ling
Spotlight	Locality in Image Diffusion Models Emerges from Data Statistics	Artem Lukoianov; Chenyang Yuan; Justin Solomon; Vincent Sitzmann
Spotlight	LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data	Zehao Wang; Lin Yang; Jie Wang; Kehan Wang; Hanzhu Chen; Bin Wang; Jianye HAO; Defu Lian; Bin Li; Enhong Chen
Spotlight	Long-Tailed Recognition via Information-Preservable Two-Stage Learning	Fudong Lin; Xu Yuan
Spotlight	Lost in Transmission: When and Why LLMs Fail to Reason Globally	Tobias Schnabel; Kiran Tomlinson; Adith Swaminathan; Jennifer Neville
Spotlight	Low-degree evidence for computational transition of recovery rate in stochastic block model	Jingqiu Ding; Yiding Hua; Lucas Slot; David Steurer
Spotlight	MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series	Payal Mohapatra; Yueyuan Sui; Akash Pandey; Stephen Xia; Qi Zhu
Spotlight	MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification	Yingying Feng; Jie Li; Jie Hu; Yukang Zhang; Lei Tan; Jiayi Ji
Spotlight	MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization	Da Chang; Ganzhao Yuan
Spotlight	MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference	Haibo Tong; Zhaoyang Wang; Zhaorun Chen; Haonian Ji; Shi Qiu; Siwei Han; Kexin Geng; Zhongkai Xue; Yiyang Zhou; Peng Xia; Mingyu Ding; Rafael Rafailov; Chelsea…
Spotlight	Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning	Emile Timothy Anand; Ishani Karmarkar; Guannan Qu
Spotlight	Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks	Ann Huang; Satpreet Harcharan Singh; Flavio Martinelli; Kanaka Rajan
Spotlight	Measuring and Guiding Monosemanticity	Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Stephan Waeldchen; Patrick Schramowski; Kristian Kersting
Spotlight	Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning	Gunshi Gupta; Karmesh Yadav; Zsolt Kira; Yarin Gal; Rahaf Aljundi
Spotlight	Memory-Enhanced Neural Solvers for Routing Problems	Felix Chalumeau; Refiloe Shabe; Noah De Nicola; Arnu Pretorius; Thomas D Barrett; Nathan Grinsztajn
Spotlight	MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning	Jinkun Hao; Naifu Liang; Zhen Luo; Xudong XU; Weipeng Zhong; Ran Yi; Yichen Jin; Zhaoyang Lyu; Feng Zheng; Lizhuang Ma; Jiangmiao Pang
Spotlight	Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning	Jian Liu; Jing Xu; Song Guo; Jing Li; Guojingfeng; Jiaao Yu; Haohan Weng; Biwen Lei; Xianghui Yang; Zhuo Chen; Fangqi Zhu; Tao Han; Chunchao Guo
Spotlight	Meta CLIP 2: A Worldwide Scaling Recipe	Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James R. Glass; LIFEI HUANG; Jason E Weston; Luke Zettlemoyer; Xinlei Chen;…
Spotlight	MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting	Yumeng He; Yunbo Wang
Spotlight	MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems	Xuanming Zhang; Yuxuan Chen; Samuel Yeh; Sharon Li
Spotlight	MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions	Pucheng Dang; Di Huang; Dong Li; Kang Chen; Yuanbo Wen; Qi Guo; Xing Hu
Spotlight	Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation	Abdelrahman Eldesokey; Aleksandar Cvejić; Bernard Ghanem; Peter Wonka
Spotlight	Minimax Adaptive Online Nonparametric Regression over Besov spaces	Paul Liautaud; Pierre Gaillard; Olivier Wintenberger
Spotlight	Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap	Shixiang Liu
Spotlight	Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics	Minseok Jeong; Giup Seo; Euiseok Hwang
Spotlight	Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy	Xiang Li; Chendi Wang; Buxin Su; Qi Long; Weijie J Su
Spotlight	MoBA: Mixture of Block Attention for Long-Context LLMs	Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; Suting Xu; Xinra…
Spotlight	MoCha: Towards Movie-Grade Talking Character Generation	Cong Wei; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; Wenhu Chen
Spotlight	MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE	Zongle Huang; Lei Zhu; ZongYuan Zhan; Ting Hu; Weikai Mao; Xianzhi Yu; Yongpan Liu; Tianyu Zhang
Spotlight	ModHiFi: Identifying High Fidelity predictive components for Model Modification	Dhruva Kashyap; Chaitanya Murti; Pranav K Nayak; Tanay Narshana; Chiranjib Bhattacharyya
Spotlight	MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention	Can Yaras; Alec S Xu; Pierre Abillama; Changwoo Lee; Laura Balzano
Spotlight	MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation	Ziru Wang; Mengmeng Wang; Guang Dai; Yongliu Long; Jingdong Wang
Spotlight	Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures	Shuqing Luo; Ye Han; Pingzhi Li; Jiayin Qin; Jie Peng; Yang Katie Zhao; Yu Cao; Tianlong Chen
Spotlight	Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search	Huanjin Yao; Jiaxing Huang; Wenhao Wu; Jingyi Zhang; Yibo Wang; Shunyu Liu; Yingjie Wang; YuXin Song; Haocheng Feng; Li Shen; Dacheng Tao
Spotlight	Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration	Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos; Jose Blanchet
Spotlight	Multi-agent Markov Entanglement	Shuze Chen; Tianyi Peng
Spotlight	Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare	Kira Goldner; Taylor Lundy
Spotlight	Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment	Chen Liu; Wenfang Yao; Kejing Yin; William K. Cheung; Jing Qin
Spotlight	Multitask Learning with Stochastic Interpolants	Hugo Negrel; Florentin Coeurdoux; Michael Samuel Albergo; Eric Vanden-Eijnden
Spotlight	Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation	Xinyu Yang; Yuwei An; Hongyi Liu; Tianqi Chen; Beidi Chen
Spotlight	Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models	Ehsan Sharifian; Saber Salehkaleybar; Negar Kiyavash
Spotlight	Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations	Chao Su; Likang Peng; Yuan Sun; Dezhong Peng; Xi Peng; Xu Wang
Spotlight	Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation	Chen Junren; Rui Chen; Wang-wei; Junlong Cheng; Gang Liang; zhanglei-scu; Liangyin Chen
Spotlight	Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection	Yu Guo; Shengfeng He; Yuxu Lu; Haonan An; Yihang Tao; Huilin Zhu; Jingxian Liu; Yuguang Fang
Spotlight	Neural Atlas Graphs for Dynamic Scene Decomposition and Editing	Jan Philipp Schneider; Pratik Singh Bisht; Ilya Chugunov; Andreas Kolb; Michael Moeller; Felix Heide
Spotlight	Neural Entropy	Akhil Premkumar
Spotlight	Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation	Lucas Morisset; Adrien Hardy; Alain Oliviero Durmus
Spotlight	Non-Clairvoyant Scheduling with Progress Bars	Ziyad Benomar; Romain Cosson; Alexander Lindermayr; Jens Schlöter
Spotlight	Nonlinear Laplacians: Tunable principal component analysis under directional prior information	Yuxin Ma; Dmitriy Kunisky
Spotlight	NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data	Azadeh Motamedi; Jae-Mo Kang; Il-Min Kim
Spotlight	Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting	Yuxuan Yang; Dalin Zhang; Yuxuan Liang; Hua Lu; Gang Chen; Huan Li
Spotlight	OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement	Ye Tian; Angela McCarthy; Gabriel Gomide; Nancy Liddle; Jedrzej Golebka; Royce Chen; Jeff Liebmann; Kaveri A. Thakoor
Spotlight	OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization	Hao Yuan; Wenli Ouyang; Changwen Zhang; Congrui Li; Yong Sun
Spotlight	ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints	Rui Xu; Dakuan Lu; Zicheng Zhao; Xiaoyu Tan; Xintao Wang; Siyu Yuan; Jiangjie Chen; Xu Yinghui
Spotlight	Object-centric 3D Motion Field for Robot Learning from Human Videos	Zhao-Heng Yin; Sherry Yang; Pieter Abbeel
Spotlight	Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies	Runze Yan; Xun Shen; Akifumi Wachi; Sebastien Gros; Anni Zhao; Xiao Hu
Spotlight	OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers	Ziqiao Peng; Jiwen Liu; Haoxian Zhang; Xiaoqiang Liu; Songlin Tang; Pengfei Wan; Di ZHANG; Hongyan Liu; Jun He
Spotlight	On Agnostic PAC Learning in the Small Error Regime	Julian Asilis; Mikael Møller Høgsgaard; Grigoris Velegkas
Spotlight	On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning	Till Freihaut; Giorgia Ramponi
Spotlight	On Traceability in $\ell_p$ Stochastic Convex Optimization	Sasha Voitovych; Mahdi Haghifam; Idan Attias; Gintare Karolina Dziugaite; Roi Livni; Daniel M. Roy
Spotlight	On Transferring Transferability: Towards a Theory for Size Generalization	Eitan Levin; Yuxin Ma; Mateo Diaz Diaz; Soledad Villar
Spotlight	On Universality Classes of Equivariant Networks	Marco Pacini; Gabriele Santin; Bruno Lepri; Shubhendu Trivedi
Spotlight	On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection	Weiqing He; Xiang Li; Tianqi Shang; Li Shen; Weijie J Su; Qi Long
Spotlight	On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks	Mingze Wang; Weinan E
Spotlight	On the Hardness of Approximating Distributions with Tractable Probabilistic Models	John Leland; YooJung Choi
Spotlight	On the Hardness of Conditional Independence Testing In Practice	Zheng He; Roman Pogodin; Yazhe Li; Namrata Deka; Arthur Gretton; Danica J. Sutherland
Spotlight	On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization	Shaocong Ma; Heng Huang
Spotlight	On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling	Moritz Haas; Sebastian Bordt; Ulrike von Luxburg; Leena Chennuru Vankadara
Spotlight	On the Universal Near Optimality of Hedge in Combinatorial Settings	Zhiyuan Fan; Arnab Maiti; Lillian J. Ratliff; Kevin Jamieson; Gabriele Farina
Spotlight	On the Value of Cross-Modal Misalignment in Multimodal Representation Learning	Yichao Cai; Yuhang Liu; Erdun Gao; Tianjiao Jiang; Zhen Zhang; Anton van den Hengel; Javen Qinfeng Shi
Spotlight	On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls	Emmeran Johnson; David Martínez-Rubio; Ciara Pike-Burke; Patrick Rebeschini
Spotlight	On the sample complexity of semi-supervised multi-objective learning	Tobias Wegel; Geelon So; Junhyung Park; Fanny Yang
Spotlight	Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion	Xi Zhang; Yanyi Li; Yisi Luo; Qi Xie; Deyu Meng
Spotlight	Online Prediction with Limited Selectivity	Licheng Liu; Mingda Qiao
Spotlight	Online Strategic Classification With Noise and Partial Feedback	Tianrun Zhao; Xiaojie Mao; Yong Liang
Spotlight	OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects	Mark He Huang; Lin Geng Foo; Christian Theobalt; Ying Sun; De Wen Soh
Spotlight	OpenBox: Annotate Any Bounding Boxes in 3D	In-Jae Lee; Mungyeom Kim; Kwonyoung Ryu; Pierre Musacchio; Jaesik Park
Spotlight	OpenCUA: Open Foundations for Computer-Use Agents	Xinyuan Wang; Bowen Wang; Dunjie Lu; Junlin Yang; Tianbao Xie; Junli Wang; Jiaqi Deng; Xiaole Guo; Yiheng Xu; Chen Henry Wu; Zhennan Shen; Zhuokai Li; Ryan Li;…
Spotlight	OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts	Shiting Xiao; Rishabh Kabra; Yuhang Li; Donghyun Lee; Joao Carreira; Priyadarshini Panda
Spotlight	Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff	Eric Lei; Hamed Hassani; Shirin Saeedi Bidokhti
Spotlight	Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics	Sean McGrath; Debarghya Mukherjee; Rajarshi Mukherjee; Zixiao Wang
Spotlight	Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling	Yufan Li; Pragya Sur
Spotlight	Optimization Inspired Few-Shot Adaptation for Large Language Models	Boyan Gao; Xin Wang; Yibo Yang; David A. Clifton
Spotlight	Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning	Hongjoon Ahn; Heewoong Choi; Jisu Han; Taesup Moon
Spotlight	Orient Anything V2: Unifying Orientation and Rotation Understanding	Zehan Wang; Ziang Zhang; Jiayang Xu; Jialei Wang; Tianyu Pang; Chao Du; Hengshuang Zhao; Zhou Zhao
Spotlight	Orochi: Versatile Biomedical Image Processor	Gaole Dai; Chenghao Zhou; Yu Zhou; Rongyu Zhang; Yuan Zhang; Chengkai Hou; Tiejun Huang; Jianxu Chen; Shanghang Zhang
Spotlight	PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding	Ansel Blume; Jeonghwan Kim; Hyeonjeong Ha; Elen Chatikyan; Xiaomeng Jin; Khanh Duy Nguyen; Nanyun Peng; Kai-Wei Chang; Derek Hoiem; Heng Ji
Spotlight	PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning	Mingqi Wu; Qiang Sun; Archer Y. Yang
Spotlight	PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models	Tonglong Wei; Yan Lin; Youfang Lin; Shengnan Guo; Jilin Hu; Haitao Yuan; Gao Cong; Huaiyu Wan
Spotlight	Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation	Guowei Wang; Fan Lyu; Changxing Ding
Spotlight	Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems	Christian Walder; Deep Tejas Karkhanis
Spotlight	Path-Enhanced Contrastive Learning for Recommendation	Haoran Sun; Fei Xiong; Yuanzhe Hu; Liang Wang
Spotlight	PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding	Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz; Yale Song; Tengyu Ma; Shuming Hu; Suyog Jain; Miguel…
Spotlight	Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning	Yibo Zhao; Yang Zhao; Hongru Du; Hao Frank Yang
Spotlight	PhysX-3D: Physical-Grounded 3D Asset Generation	Ziang Cao; Zhaoxi Chen; Liang Pan; Ziwei Liu
Spotlight	Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection	Shuhai Zhang; ZiHao Lian; Jiahao Yang; Daiyuan Li; Guoxuan Pang; Feng Liu; Bo Han; Shutao Li; Mingkui Tan
Spotlight	PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts	Zeman Li; Yuan Deng; Peilin Zhong; Meisam Razaviyayn; Vahab Mirrokni
Spotlight	Plasticity as the Mirror of Empowerment	David Abel; Michael Bowling; Andre Barreto; Will Dabney; Shi Dong; Steven Stenberg Hansen; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Geor…
Spotlight	PoE-World: Compositional World Modeling with Products of Programmatic Experts	Wasu Top Piriyakulkij; Yichao Liang; Hao Tang; Adrian Weller; Marta Kryven; Kevin Ellis
Spotlight	Policy Compatible Skill Incremental Learning via Lazy Learning Interface	Daehee Lee; Dongsu Lee; TaeYoon Kwack; Wonje Choi; Honguk Woo
Spotlight	Polyline Path Masked Attention for Vision Transformer	Zhongchen Zhao; Chaodong Xiao; Hui LIN; Qi Xie; Lei Zhang; Deyu Meng
Spotlight	Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference	Álvaro Parafita; Tomas Garriga; Axel Brando; Francisco J. Cazorla
Spotlight	Precise Asymptotics and Refined Regret of Variance-Aware UCB	Yingying Fan; Yuxuan Han; Jinchi Lv; Xiaocong XU; Zhengyuan Zhou
Spotlight	Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems	Lorenzo Baldassari; Josselin Garnier; Knut Solna; Maarten V. de Hoop
Spotlight	Predictable Scale (Part II) — Farseer: A Refined Scaling Law in LLMs	Houyi Li; Wenzhen Zheng; Qiufeng Wang; Zhenyu Ding; Haoying Wang; Zili Wang; Shijie Xuyang; Ning Ding; Shuigeng Zhou; Xiangyu Zhang; Daxin Jiang
Spotlight	Predictive Preference Learning from Human Interventions	Haoyuan Cai; Zhenghao Peng; Bolei Zhou
Spotlight	Principled Data Augmentation for Learning to Solve Quadratic Programming Problems	Chendi Qian; Christopher Morris
Spotlight	Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning	Jaehun Jung; Seungju Han; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi
Spotlight	Privacy amplification by random allocation	Moshe Shenfeld; Vitaly Feldman
Spotlight	Private Hyperparameter Tuning with Ex-Post Guarantee	Badih Ghazi; Pritish Kamath; Alexander Knop; Ravi Kumar; Pasin Manurangsi; Chiyuan Zhang
Spotlight	Private Set Union with Multiple Contributions	Travis Dick; Haim Kaplan; Alex Kulesza; Uri Stemmer; Ziteng Sun; Ananda Theertha Suresh
Spotlight	Probing Neural Combinatorial Optimization Models	Zhiqin Zhang; Yining Ma; Zhiguang Cao; Hoong Chuin Lau
Spotlight	Product Distribution Learning with Imperfect Advice	Arnab Bhattacharyya; Davin Choo; Philips George John; Themis Gouleakis
Spotlight	Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities	Tara Akhound-Sadegh; Jungyoon Lee; Joey Bose; Valentin De Bortoli; Arnaud Doucet; Michael M. Bronstein; Dominique Beaini; Siamak Ravanbakhsh; Kirill Neklyudov;…
Spotlight	Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs	XiangCheng Zhang; Yige Hong; Weina Wang
Spotlight	Projective Equivariant Networks via Second-order Fundamental Differential Invariants	Yikang Li; Yeqing Qiu; Yuxuan Chen; Lingshen He; Lexiang Hu; Zhouchen Lin
Spotlight	ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search	Mengdi Liu; Xiaoxue Cheng; Zhangyang Gao; Hong Chang; Cheng Tan; Shiguang Shan; Xilin Chen
Spotlight	Protein Design with Dynamic Protein Vocabulary	Nuowei Liu; Jiahao Kuang; Yanting Liu; Tao Ji; Changzhi Sun; Man Lan; Yuanbin Wu
Spotlight	Provable Gradient Editing of Deep Neural Networks	Zhe Tao; Aditya V. Thakur
Spotlight	Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation	Toshinori Kitamura; Arnob Ghosh; Tadashi Kozuno; Wataru Kumagai; Kazumi Kasaura; Kenta Hoshino; Yohei Hosoe; Yutaka Matsuo
Spotlight	ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs	Landon Butler; Abhineet Agarwal; Justin Singh Kang; Yigit Efe Erginbas; Bin Yu; Kannan Ramchandran
Spotlight	Puppeteer: Rig and Animate Your 3D Models	Chaoyue Song; Xiu Li; Fan Yang; Zhongcong Xu; Jiacheng Wei; Fayao Liu; Jiashi Feng; Guosheng Lin; Jianfeng Zhang
Spotlight	Purifying Approximate Differential Privacy with Randomized Post-processing	Yingyu Lin; Erchi Wang; Yian Ma; Yu-Xiang Wang
Spotlight	Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner	Runa Eschenhagen; Aaron Defazio; Tsung-Hsien Lee; Richard E. Turner; Hao-Jun Michael Shi
Spotlight	Q-Insight: Understanding Image Quality via Visual Reinforcement Learning	Weiqi Li; Xuanyu Zhang; Shijie Zhao; Yabin ZHANG; Junlin Li; Li zhang; Jian Zhang
Spotlight	QFFT, Question-Free Fine-Tuning for Adaptive Reasoning	Wanlong Liu; Junxiao Xu; Fei Yu; Yukang Lin; Ke Ji; Wenyu Chen; Lifeng Shang; Yasheng Wang; Yan Xu; Benyou Wang
Spotlight	QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models	Yutong Wang; Haiyu Wang; Sai Qian Zhang
Spotlight	Quantization-Free Autoregressive Action Transformer	Ziyad Sheebaelhamd; Michael Tschannen; Michael Muehlebach; Claire Vernade
Spotlight	Quantum Doubly Stochastic Transformers	Jannis Born; Filip Skogh; Kahn Rhrissorrakrai; Filippo Utro; Nico Wagner; Aleksandros Sobczyk
Spotlight	Quantum speedup of non-linear Monte Carlo problems	Jose Blanchet; Yassine Hamoudi; Mario Szegedy; Guanyang Wang
Spotlight	RF-Agent: Automated Reward Function Design via Language Agent Tree Search	Ning Gao; Xiuhui Zhang; Xingyu Jiang; Mukang You; Mohan Zhang; Yue Deng
Spotlight	RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes	Fang Li; Hao Zhang; Narendra Ahuja
Spotlight	ROGR: Relightable 3D Objects using Generative Relighting	Jiapeng Tang; Matthew Jacob Levine; Dor Verbin; Stephan J. Garbin; Matthias Nießner; Ricardo Martin Brualla; Pratul P. Srinivasan; Philipp Henzler
Spotlight	ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge	Manh Cuong Dao; The Hung Tran; Phi Le Nguyen; Thao Nguyen Truong; Trong Nghia Hoang
Spotlight	ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection	Haowei Zhu; Tianxiang Pan; Rui Qin; Jun-Hai Yong; Bin Wang
Spotlight	ReSim: Reliable World Simulation for Autonomous Driving	Jiazhi Yang; Kashyap Chitta; Shenyuan Gao; Long Chen; Yuqian Shao; Xiaosong Jia; Hongyang Li; Andreas Geiger; Xiangyu Yue; Li Chen
Spotlight	Reasoning Planning for Language Models	Bao Nguyen; Hieu Trung Nguyen; Ruifeng She; Xiaojin Fu; Viet Anh Nguyen
Spotlight	Reconstruction and Secrecy under Approximate Distance Queries	Shay Moran; Elizaveta Nesterova
Spotlight	Rectified Point Flow: Generic Point Cloud Pose Estimation	TAO SUN; Liyuan Zhu; Shengyu Huang; Shuran Song; Iro Armeni
Spotlight	Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses	Deheng Yuan; Tao Guo; Zhongyi Huang
Spotlight	Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback	Orin Levy; Liad Erez; Alon Cohen; Yishay Mansour
Spotlight	Regularized least squares learning with heavy-tailed noise is minimax optimal	Mattes Mollenhauer; Nicole Mücke; Dimitri Meunier; Arthur Gretton
Spotlight	Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding	Hanyin Wang; Zhenbang Wu; Gururaj J. Kolar; Hariprasad Reddy Korsapati; Brian Bartlett; Bryan Hull; Jimeng Sun
Spotlight	Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach	Chenbei Lu; Zaiwei Chen; Tongxin Li; Chenye Wu; Adam Wierman
Spotlight	RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation	Boyuan Cao; Jiaxin Ye; Yujie Wei; Hongming Shan
Spotlight	Replicable Distribution Testing	Ilias Diakonikolas; Jingyi Gao; Daniel Kane; Sihan Liu; Christopher Ye
Spotlight	Repo2Run: Automated Building Executable Environment for Code Repository at Scale	Ruida Hu; Chao Peng; XinchenWang; Junjielong Xu; Cuiyun Gao
Spotlight	RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving	Huacan Wang; Ziyi Ni; Shuo Zhang; Shuo Lu; Sen Hu; Ziyang He; Chen Hu; Jiaye Lin; Yifu Guo; Yuntao Du; Pin Lyu
Spotlight	Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues	Chinmay Talegaonkar; Nikhil Gandudi Suresh; Zachary Novack; Yash Belhe; Priyanka Nagasamudra; Nicholas Antipa
Spotlight	Restoring Pruned Large Language Models via Lost Component Compensation	Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Tianjiao Li; Chua Jia Jim Deryl; Mak Lee Onn; Gee Wah Ng; Kezhi Mao
Spotlight	Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality	Mincheol Park; Heeji Won; Won Woo Ro; Suhyun Kim
Spotlight	Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks	Ali Hariri; Alvaro Arroyo; Alessio Gravina; Moshe Eliasof; Carola-Bibiane Schönlieb; Davide Bacciu; Xiaowen Dong; Kamyar Azizzadenesheli; Pierre Vandergheynst
Spotlight	Reverse Engineering Human Preferences with Reinforcement Learning	Lisa Alazraki; Yi-Chern Tan; Jon Ander Campos; Maximilian Mozes; Marek Rei; Max Bartolo
Spotlight	Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws	Lin Guo; Xiaoqing Luo; Wei Xie; Zhancheng Zhang; Hui Li; Rui Wang; Zhenhua Feng; Xiaoning Song
Spotlight	Ridge Boosting is Both Robust and Efficient	David Bruns-Smith; Zhongming Xie; Avi Feller
Spotlight	RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models	Junda Zhu; Jun Ai; Yujun Li; Yichun Yin; Yasheng Wang; Lifeng Shang; Qun Liu
Spotlight	Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction	Samuel Li; Pujith Kachana; Prajwal Chidananda; Saurabh Nair; Yasutaka Furukawa; Matthew Brown
Spotlight	Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization	Qingyang Zhang; Haitao Wu; Changqing Zhang; Peilin Zhao; Yatao Bian
Spotlight	RoboScape: Physics-informed Embodied World Model	Yu Shang; Xin Zhang; Yinzhou Tang; Lei Jin; Chen Gao; Wei Wu; Yong Li
Spotlight	Robust Graph Condensation via Classification Complexity Mitigation	Jiayi Luo; Qingyun Sun; Beining Yang; Haonan Yuan; Xingcheng Fu; Yanbiao Ma; Jianxin Li; Philip S. Yu
Spotlight	Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting	Chengqi Li; Zhihao Shi; Yangdi Lu; Wenbo He; Xiangyu Xu
Spotlight	Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models	Junhao Dong; Cong Zhang; Xinghua Qu; Zejun MA; Piotr Koniusz; Yew-Soon Ong
Spotlight	Robust learning of halfspaces under log-concave marginals	Jane Lange; Arsen Vasilyan
Spotlight	RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness	Fanhu Zeng; Haiyang Guo; Fei Zhu; Li Shen; Hao Tang
Spotlight	SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation	Claudia Cuttano; Gabriele Trivigno; Giuseppe Averta; Carlo Masone
Spotlight	SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning	Huanyu Liu; Ge Li; Jia Li; Hao Zhu; Kechi Zhang; Yihong Dong
Spotlight	SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification	Hsi-Ling Chen; Chun-Shien Lu; Pau-Choo Chung
Spotlight	SHAP values via sparse Fourier representation	Ali Gorji; Andisheh Amrollahi; Andreas Krause
Spotlight	SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation	Enzhi Zhang; Peng Chen; Rui Zhong; Du Wu; Jun Igarashi; Isaac Lyngaas; Xiao Wang; Masaharu Munetomo; Mohamed Wahib
Spotlight	SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment	Qi Xu; Dongxu Wei; Lingzhe Zhao; Wenpu Li; Zhangchi Huang; Shunping Ji; Peidong Liu
Spotlight	SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration	Elif Arslan; Jacobus G. M. van der Linden; Serge Hoogendoorn; Marco Rinaldi; Emir Demirović
Spotlight	SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving	Haiming Zhang; Yiyao Zhu; Wending Zhou; Xu Yan; Yingjie CAI; Bingbing Liu; Shuguang Cui; Zhen Li
Spotlight	STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis	Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang ZHANG; Laurent Dinh; Miguel Ángel Bautista; Joshua M. Susskind; Shuangfei Zhai
Spotlight	STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation	Hossein Goli; Michael Gimelfarb; Nathan Samuel de Lara; Haruki Nishimura; Masha Itkina; Florian Shkurti
Spotlight	SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios	Lingwei Dang; Ruizhi Shao; Hongwen Zhang; Wei MIN; Yebin Liu; Qingyao Wu
Spotlight	SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning	Borong Zhang; Yuhao Zhang; Jiaming Ji; Yingshan Lei; Josef Dai; Yuanpei Chen; Yaodong Yang
Spotlight	SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training	Jintao Zhang; Jia wei; Haoxu Wang; Pengle Zhang; Xiaoming Xu; Haofeng Huang; Kai Jiang; Jianfei Chen; Jun Zhu
Spotlight	Sample-Adaptivity Tradeoff in On-Demand Sampling	Nika Haghtalab; Omar Montasser; Mingda Qiao
Spotlight	Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding	Yiming Wang; Pei Zhang; Siyuan Huang; Baosong Yang; Zhuosheng Zhang; Fei Huang; Rui Wang
Spotlight	Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity	Jun Wang; Zhenglai Li; Chang Tang; Suyuan Liu; Hao Yu; Chuan Tang; Miaomiao Li; Xinwang Liu
Spotlight	Scalable Fingerprinting of Large Language Models	Anshul Nasery; Jonathan Hayase; Creston Brooks; Peiyao Sheng; Himanshu Tyagi; Pramod Viswanath; Sewoong Oh
Spotlight	Scaling Laws For Scalable Oversight	Joshua Engels; David D. Baek; Subhash Kantamneni; Max Tegmark
Spotlight	Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins	Aadyot Bhatnagar; Sarthak Jain; Joel Beazer; Samuel C. Curran; Alexander M. Hoffnagle; Kyle Shan Ching; Michael Martyn; Stephen Nayfach; Jeffrey A. Ruffolo; Al…
Spotlight	Scaling and context steer LLMs along the same computational path as the human brain	Joséphine Raugel; Jérémy Rapin; Stéphane d'Ascoli; Valentin Wyart; Jean-Remi King
Spotlight	Scaling can lead to compositional generalization	Florian Redhardt; Yassir Akram; Simon Schug
Spotlight	Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach	Jonas Geiping; Sean Michael McLeish; Neel Jain; John Kirchenbauer; Siddharth Singh; Brian R. Bartoldson; Bhavya Kailkhura; Abhinav Bhatele; Tom Goldstein
Spotlight	SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation	Zhenyuan Qin; Xincheng Shuai; Henghui Ding
Spotlight	Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging	Hongjin Qian; Zheng Liu
Spotlight	Searching Latent Program Spaces	Matthew Macfarlane; Clément Bonnet
Spotlight	Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization	Yanhao Jia; Ji Xie; S Jivaganesh; Li Hao; Xu Wu; Mengmi Zhang
Spotlight	SegMASt3R: Geometry Grounded Segment Matching	Rohit Jayanti; Swayam Agrawal; Vansh Garg; Siddharth Tourani; Muhammad Haris Khan; Sourav Garg; Madhava Krishna
Spotlight	Selective Omniprediction and Fair Abstention	Sílvia Casacuberta; Varun Kanade
Spotlight	Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion	Xun Huang; Zhengqi Li; Guande He; Mingyuan Zhou; Eli Shechtman
Spotlight	Self-Assembling Graph Perceptrons	Jialong Chen; Tong Wang; Bowen Deng; Luonan Chen; Zibin Zheng; Chuan Chen
Spotlight	Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection	Jinyu Cai; Yuan Xie; Glynnis Lim; Yifang Yin; Roger Zimmermann; See-Kiong Ng
Spotlight	Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals	Stefan Stojanov; David Wendt; Seungwoo Kim; Rahul Mysore Venkatesh; Kevin Feigelis; Klemen Kotar; Khai Loong Aw; Jiajun Wu; Daniel LK Yamins
Spotlight	Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization	He Chen; Jiajin Li; Anthony Man-Cho So
Spotlight	Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models	Wenda Li; Huijie Zhang; Qing Qu
Spotlight	ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding	Junliang Ye; Zhengyi Wang; Ruowen Zhao; Shenghao Xie; Jun Zhu
Spotlight	Sharp Gaussian approximations for Decentralized Federated Learning	Soham Bonnerjee; Sayar Karmakar; Wei Biao Wu
Spotlight	Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings	Evan Markou; Thalaiyasingam Ajanthan; Stephen Gould
Spotlight	Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning	Bastien Dubail; Stefan Stojanovic; Alexandre Proutiere
Spotlight	Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More	Jinwoo Lim; Suhyun Kim; Soo-Mook Moon
Spotlight	Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation	David Heineman; Valentin Hofmann; Ian Magnusson; Yuling Gu; Noah A. Smith; Hannaneh Hajishirzi; Kyle Lo; Jesse Dodge
Spotlight	SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds	Xiaokang Ye; Jiawei Ren; Yan Zhuang; Xuhong He; Yiming Liang; Yiqing Yang; Mrinaal Dogra; Xianrui Zhong; Eric Liu; Kevin Benavente; Rajiv Mandya Nagaraju; Dhru…
Spotlight	Simultaneous Swap Regret Minimization via KL-Calibration	Haipeng Luo; Spandan Senapati; Vatsal Sharan
Spotlight	Sketched Gaussian Mechanism for Private Federated Learning	Qiaobo Li; Zhijie Chen; Arindam Banerjee
Spotlight	SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference	Yi Zhao; Yajuan Peng; Nguyen Cam-Tu; Zuchao Li; Wang Xiaoliang; hai zhao; Xiaoming Fu
Spotlight	SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation	Zekun Qi; Wenyao Zhang; Yufei Ding; Runpei Dong; XinQiang Yu; Jingwen Li; Lingyun Xu; Baoyu Li; Xialin He; Guofan Fan; Jiazhao Zhang; Jiawei He; Jiayuan Gu; Xi…
Spotlight	SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement	Xiyao Wang; Zhengyuan Yang; Chao Feng; Hongjin Lu; Linjie Li; Chung-Ching Lin; Kevin Lin; Furong Huang; Lijuan Wang
Spotlight	Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics	Deep Patel; Emmanouil-Vasileios Vlatakis-Gkaragkounis
Spotlight	Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness	Mojtaba Kolahdouzi; Hatice Gunes; Ali Etemad
Spotlight	Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation	Shuo Yang; Haocheng Xi; Yilong Zhao; Muyang Li; Jintao Zhang; Han Cai; Yujun Lin; Xiuyu Li; Chenfeng Xu; Kelly Peng; Jianfei Chen; Song Han; Kurt Keutzer; Ion…
Spotlight	SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering	Ruimeng Liu; Xin Zou; Chang Tang; Xiao Zheng; Xingchen Hu; Kun Sun; Xinwang Liu
Spotlight	Spatial Understanding from Videos: Structured Prompts Meet Simulation Data	Haoyu Zhang; Meng Liu; Zaijing Li; Haokun Wen; Weili Guan; Yaowei Wang; Liqiang Nie
Spotlight	Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence	Diankun Wu; Fangfu Liu; Yi-Hsin Hung; Yueqi Duan
Spotlight	SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs	Jinwoo Park; Seunggeun Cho; Dongsu Han
Spotlight	SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding	Thomas Walton; Darin Tsui; Aryan Musharaf; Amirali Aghazadeh
Spotlight	Spectral Estimation with Free Decompression	Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Michael W. Mahoney
Spotlight	Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum	Snir Hordan; Maya Bechler-Speicher; Gur Lifshitz; Nadav Dym
Spotlight	Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping	Pu Yang; Yunzhen Feng; Ziyuan Chen; Yuhang Wu; Zhuoyuan Li
Spotlight	Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning	Roger Creus Castanyer; Johan Obando-Ceron; Lu Li; Pierre-Luc Bacon; Glen Berseth; Aaron Courville; Pablo Samuel Castro
Spotlight	Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon	Tongtong Liang; Dan Qiao; Yu-Xiang Wang; Rahul Parhi
Spotlight	Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation	Hao Zhang; Chun-Han Yao; Simon Donné; Narendra Ahuja; Varun Jampani
Spotlight	StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold	Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Lingjuan Lyu
Spotlight	Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate	Ferdinand Genans; Antoine Godichon-Baggioni; François-Xavier Vialard; Olivier Wintenberger
Spotlight	Stochastic Process Learning via Operator Flow Matching	Yaozhong Shi; Zachary E Ross; Domniki Asimaki; Kamyar Azizzadenesheli
Spotlight	Strategic Costs of Perceived Bias in Fair Selection	L. Elisa Celis; Lingxiao Huang; Milind Sohoni; Nisheeth K. Vishnoi
Spotlight	Strategic Hypothesis Testing	Yatong Chen; Safwan Hossain; Yiling Chen
Spotlight	StreamForest: Efficient Online Video Understanding with Persistent Event Memory	Xiangyu Zeng; Kefan Qiu; Qingyu Zhang; Xinhao Li; Jing Wang; Jiaxin Li; Ziang Yan; Kun Tian; Meng Tian; Xinhai Zhao; Yi Wang; Limin Wang
Spotlight	Streaming Attention Approximation via Discrepancy Theory	Ekaterina Kochetkova; Kshiteej Sheth; Insu Han; Amir Zandieh; Michael Kapralov
Spotlight	Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models	Benjamin Walker; Lingyi Yang; Nicola Muca Cirone; Cristopher Salvi; Terry Lyons
Spotlight	Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models	Aleksandar Terzic; Nicolas Menet; Michael Hersche; Thomas Hofmann; Abbas Rahimi
Spotlight	SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications	Gabriele Oliaro; Zhihao Jia; Daniel F Campos; Aurick Qiao
Spotlight	T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning	Julie Mordacq; David Loiseaux; Vicky Kalogeiton; Steve Oudot
Spotlight	TGA: True-to-Geometry Avatar Dynamic Reconstruction	Bo Guo; Sijia Wen; Ziwei Wang; Yifan Zhao
Spotlight	TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception	Runjian Chen; Hyoungseob Park; Bo Zhang; Wenqi Shao; Ping Luo; Alex Wong
Spotlight	TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence	Feng Jiang; Mangal Prakash; Hehuan Ma; Jianyuan Deng; Yuzhi Guo; Amina Mollaysa; Tommaso Mansi; Rui Liao; Junzhou Huang
Spotlight	Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation	Yuyang Li; Wenxin Du; Chang Yu; Puhao Li; Zihang Zhao; Tengyu Liu; Chenfanfu Jiang; Yixin Zhu; Siyuan Huang
Spotlight	Tackling Biased Evaluators in Dueling Bandits	Ming Tang; Yuxuan Zhou; Chao Huang
Spotlight	Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras	Lingdong Kong; Dongyue Lu; Alan Liang; Rong Li; Yuhao Dong; Tianshuai Hu; Lai Xing Ng; Wei Tsang Ooi; Benoit R Cottereau
Spotlight	Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes	Itamar Harel; Yonathan Wolanowsky; Gal Vardi; Nathan Srebro; Daniel Soudry
Spotlight	Tensor Product Attention Is All You Need	Yifan Zhang; Yifeng Liu; Huizhuo Yuan; Zhen Qin; Yang Yuan; Quanquan Gu; Andrew C Yao
Spotlight	The Best Instruction-Tuning Data are Those That Fit	Dylan Zhang; Qirun Dai; Hao Peng
Spotlight	The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games	Ioannis Anagnostides; Ioannis Panageas; Tuomas Sandholm; Jingming Yan
Spotlight	The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets	Yatin Dandi; Luca Pesce; Lenka Zdeborova; Florent Krzakala
Spotlight	The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization	Yihua Zhang; Changsheng Wang; Yiwei Chen; Chongyu Fan; Jinghan Jia; Sijia Liu
Spotlight	The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models	Alex Damian; Jason D. Lee; Joan Bruna
Spotlight	The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis	Hoang Pham; The-Anh Ta; Tom Jacobs; Rebekka Burkholz; Long Tran-Thanh
Spotlight	The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness	Sahar Abdelnabi; Ahmed Salem
Spotlight	The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels	Yonatan Slutzky; Yotam Alexander; Noam Razin; Nadav Cohen
Spotlight	The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability?	Denis Sutter; Julian Minder; Thomas Hofmann; Tiago Pimentel
Spotlight	The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination	Adam Klivans; Konstantinos Stavropoulos; Kevin Tian; Arsen Vasilyan
Spotlight	The Primacy of Magnitude in Low-Rank Adaptation	Zicheng Zhang; Haoran Li; Yifeng Zhang; Guoqiang Gong; Jiaxing Wang; Junxing Hu; pengzhang liu; Qixia Jiang
Spotlight	The Structure of Relation Decoding Linear Operators in Large Language Models	Miranda Anna Christ; Adrián Csiszárik; Gergely Becsó; Dániel Varga
Spotlight	The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis	Alex Lewandowski; Aditya A. Ramesh; Edan Meyer; Dale Schuurmans; Marlos C. Machado
Spotlight	Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning	Quanjiang Li; Tianxiang Xu; Tingjin Luo; Yan Zhong; Yang Li; Yiyun Zhou; Chenping Hou
Spotlight	Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens	Xixian Yong; Xiao Zhou; Yingying Zhang; Jinlin Li; Yefeng Zheng; Xian Wu
Spotlight	Thought Communication in Multiagent Collaboration	Yujia Zheng; Zhuokai Zhao; Zijian Li; Yaqi Xie; Mingze Gao; Lizhu Zhang; Kun Zhang
Spotlight	Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models	Yue Wang; Qiuzhi Liu; Jiahao Xu; Tian Liang; Xingyu Chen; Zhiwei He; Linfeng Song; Dian Yu; Juntao Li; Zhuosheng Zhang; Rui Wang; Zhaopeng Tu; Haitao Mi; Dong…
Spotlight	Tight Generalization Bounds for Large-Margin Halfspaces	Kasper Green Larsen; Natascha Schalburg
Spotlight	TimeWak: Temporal Chained-Hashing Watermark for Time Series Data	Zhi Wen Soi; Chaoyi Zhu; Fouad Abiad; Aditya Shankar; Jeroen M. Galjaard; Huijuan Wang; Lydia Y. Chen
Spotlight	To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL	Yuda Song; Dhruv Rohatgi; Aarti Singh; Drew Bagnell
Spotlight	To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning	Ming Li; Jike Zhong; Shitian Zhao; Yuxiang Lai; Haoquan Zhang; Wang Bill Zhu; Kaipeng Zhang
Spotlight	TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs	Parjanya Prajakta Prashant; Kaustubh Ponkshe; Babak Salimi
Spotlight	Toward Relative Positional Encoding in Spiking Transformers	Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang; Dongsheng Li
Spotlight	Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models	Xiaowen Cai; Daizong Liu; Xiaoye Qu; Xiang Fang; Jianfeng Dong; Keke Tang; Pan Zhou; Lichao Sun; Wei Hu
Spotlight	Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs	Insu Lee; Wooje Park; Jaeyun Jang; Minyoung Noh; Kyuhong Shim; Byonghyo Shim
Spotlight	Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery	Ming Hu; Zhengdi Yu; Feilong Tang; Kaiwen Chen; Yulong Li; Imran Razzak; Junjun He; Tolga Birdal; Kaijing Zhou; Zongyuan Ge
Spotlight	Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few	Qishuai Wen; Zhiyuan Huang; Chun-Guang Li
Spotlight	Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration	Junyu Zhang; Lizhong Ding; MinghongZhang; Ye Yuan; Xingcan Li; Pengqi Li; Tihang Xi; Guoren Wang; Changsheng Li
Spotlight	Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study	Guanlin Wu; Boyan Su; Yang Zhao; Pu Wang; Yichen Lin; Hao Frank Yang
Spotlight	Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning	Sanghyun Ahn; Wonje Choi; Junyong Lee; Jinwoo Park; Honguk Woo
Spotlight	Towards Understanding the Mechanisms of Classifier-Free Guidance	Xiang Li; Rongrong Wang; Qing Qu
Spotlight	Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations	Kaibo Wang; Jianda Mao; Tong Wu; Yang Xiang
Spotlight	Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement	Yunan Lu; Xixi Zhang; Yaojin Lin; Weiwei Li; Lei Yang; Xiuyi Jia
Spotlight	Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning	Idan Attias; Steve Hanneke; Arvind Ramaswami
Spotlight	Training-Free Constrained Generation With Stable Diffusion Models	Stefano Zampini; Jacob K Christopher; Luca Oneto; Davide Anguita; Ferdinando Fioretto
Spotlight	TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model	Yichen Liu; Yan Lin; Shengnan Guo; Zeyu Zhou; Youfang Lin; Huaiyu Wan
Spotlight	Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design	Yunfan Li; Eric Liu; Lin Yang
Spotlight	TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup	Fanxu Meng; Pingzhi Tang; Zengwei Yao; Xing Sun; Muhan Zhang
Spotlight	Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift	Yi Zhang; Elynn Chen; Yujun Yan
Spotlight	Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression	Yeichan Kim; Ilmun Kim; Seyoung Park
Spotlight	Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models	Tomas Soucek; Sylvestre-Alvise Rebuffi; Pierre Fernandez; Nikola Jovanović; Hady Elsahar; Valeriu Lacatusu; Tuan A. Tran; Alexandre Mourachko
Spotlight	Transferring Linear Features Across Language Models With Model Stitching	Alan Chen; Jack Merullo; Alessandro Stolfo; Ellie Pavlick
Spotlight	Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning	Jiaru Zou; Yikun Ban; Zihao Li; Yunzhe Qi; Ruizhong Qiu; Ling Yang; Jingrui He
Spotlight	Transformer brain encoders explain human high-level visual responses	Hossein Adeli; Minni Sun; Nikolaus Kriegeskorte
Spotlight	Transformers for Mixed-type Event Sequences	Felix Draxler; Yang Meng; Kai Nelson; Lukas Laskowski; Yibo Yang; Theofanis Karaletsos; Stephan Mandt
Spotlight	Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models	Chunlong Xie; Kangjie Chen; Shangwei Guo; Shudong Zhang; Tianwei Zhang; Tao Xiang
Spotlight	TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning	Sheng Wang; Pengan CHEN; Jingqi Zhou; Qintong Li; Jingwei Dong; Jiahui Gao; Boyang XUE; Jiyue Jiang; Lingpeng Kong; Chuan Wu
Spotlight	Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference	Denis Blessing; Julius Berner; Lorenz Richter; Carles Domingo-Enrich; Yuanqi Du; Arash Vahdat; Gerhard Neumann
Spotlight	Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning	Chaofan Lin; Jiaming Tang; Shuo Yang; Hanshuo Wang; Tian Tang; Boyu Tian; Ion Stoica; Song Han; Mingyu Gao
Spotlight	Two Heads are Better than One: Simulating Large Transformers with Small Ones	Hantao Yu; Josh Alman
Spotlight	Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion	Haoyu Li; Xiangru Zhong; Bin Hu; Huan Zhang
Spotlight	UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface	Hao Tang; Chen-Wei Xie; Haiyang Wang; Xiaoyi Bao; Tingyu Weng; Pandeng Li; Yun Zheng; Liwei Wang
Spotlight	UMA: A Family of Universal Models for Atoms	Brandon M Wood; Misko Dzamba; Xiang Fu; Meng Gao; Muhammed Shuaibi; Luis Barroso-Luque; Kareem Abdelmaqsoud; Vahe Gharakhanyan; John R. Kitchin; Daniel S. Levi…
Spotlight	UMoE: Unifying Attention and FFN with Shared Experts	Yuanhang Yang; Chaozheng Wang; Jing Li
Spotlight	URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model	Zhe Li; Xiang Bai; Jieyu Zhang; Zhuangzhe Wu; Che Xu; Ying Li; Chengkai Hou; Shanghang Zhang
Spotlight	Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification	Zhongao Zhou; Bin Yang; Wenke Huang; Jun Chen; Mang Ye
Spotlight	Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning	Tianxing Wu; Shutong Zhu; Jingting Wang; Ning Xu; Guilin Qi; Haofen Wang
Spotlight	Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws	Zhixuan Pan; Shaowen Wang; Liao Pengfei; Jian Li
Spotlight	Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models	Jun Zhao; Yongzhuo Yang; Xiang Hu; Jingqi Tong; Yi Lu; Wei Wu; Tao Gui; Qi Zhang; Xuanjing Huang
Spotlight	Understanding Prompt Tuning and In-Context Learning via Meta-Learning	Tim Genewein; Li Kevin Wenliang; Jordi Grau-Moya; Anian Ruoss; Laurent Orseau; Marcus Hutter
Spotlight	Uni-LoRA: One Vector is All You Need	Kaiyang Li; Shaobo Han; Qing Su; Wei Li; Zhipeng Cai; Shihao Ji
Spotlight	Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition	Yu Li; Jin Jiang; Jianhua Zhu; Shuai Peng; Baole Wei; Yuxuan Zhou; Liangcai Gao
Spotlight	UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting	Kai He; Ruofan Liang; Jacob Munkberg; Jon Hasselgren; Nandita Vijaykumar; Alexander Keller; Sanja Fidler; Igor Gilitschenski; Zan Gojcic; Zian Wang
Spotlight	UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection	Jigang Fan; QuanLin Wu; Shengjie Luo; Liwei Wang
Spotlight	UniTok: a Unified Tokenizer for Visual Generation and Understanding	Chuofan Ma; Yi Jiang; Junfeng Wu; Jihan Yang; Xin Yu; Zehuan Yuan; BINGYUE PENG; XIAOJUAN QI
Spotlight	Unifying Proportional Fairness in Centroid and Non-Centroid Clustering	Benjamin Cookson; Nisarg Shah; Ziqi Yu
Spotlight	UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems	Dian Meng; Zhiguang Cao; Jie Gao; Yaoxin Wu; Yaqing Hou
Spotlight	Universal Causal Inference in a Topos	Sridhar Mahadevan
Spotlight	Universal Sequence Preconditioning	Annie Marsden; Elad Hazan
Spotlight	Unleashing Hour-Scale Video Training for Long Video-Language Understanding	Jingyang Lin; Jialian Wu; Ximeng Sun; Ze Wang; Jiang Liu; Yusheng Su; Xiaodong Yu; Hao Chen; Jiebo Luo; Zicheng Liu; Emad Barsoum
Spotlight	Unlocking Dataset Distillation with Diffusion Models	Brian Bernhard Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel
Spotlight	Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time	Daniel D. Richman; Jessica Karaguesian; Carl-Mikael Suomivuori; Ron O. Dror
Spotlight	Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training	Qinglun Li; Yingqi Liu; Miao Zhang; Xiaochun Cao; Quanjun Yin; Li Shen
Spotlight	Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs	Mantas Mazeika; Xuwang Yin; Rishub Tamirisa; Jaehyuk Lim; Bruce W. Lee; Richard Ren; Long Phan; Norman Mu; Oliver Zhang; Dan Hendrycks
Spotlight	VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction	Chaoyou Fu; Haojia Lin; Xiong Wang; YiFan Zhang; Yunhang Shen; Xiaoyu Liu; Haoyu Cao; Zuwei Long; Heting Gao; Ke Li; Long MA; Xiawu Zheng; Rongrong Ji; Xing Su…
Spotlight	VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning	Haozhe Wang; Chao Qu; Zuming Huang; Wei Chu; Fangzhen Lin; Wenhu Chen
Spotlight	VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs	Shmuel Berman; Jia Deng
Spotlight	VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information	Zecheng Wang; Chunshan Li; Yupeng Zhang; Han Liu; Bingning Wang; Dianhui Chu; Dianbo Sui
Spotlight	Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2	Ziqi Zhou; Yifan Hu; Yufei Song; Zijing Li; Shengshan Hu; Leo Yu Zhang; Dezhong Yao; Long Zheng; Hai Jin
Spotlight	Variational Learning Finds Flatter Solutions at the Edge of Stability	Avrajit Ghosh; Bai Cong; Rio Yokota; Saiprasad Ravishankar; Rongrong Wang; Molei Tao; Mohammad Emtiyaz Khan; Thomas Möllenhoff
Spotlight	Variational Transdimensional Inference	Laurence Davies; Dan MacKinlay; Rafael Oliveira; Scott A Sisson
Spotlight	Vector Quantization in the Brain: Grid-like Codes in World Models	Xiangyuan Peng; Xingsi Dong; Si Wu
Spotlight	Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding	Xiaoqian Shen; Wenxuan Zhang; Jun Chen; Mohamed Elhoseiny
Spotlight	Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data	Zi Liang; Qingqing Ye; Xuan Liu; Yanyun Wang; Jianliang Xu; Haibo Hu
Spotlight	Vision Transformers Don't Need Trained Registers	Nicholas Jiang; Amil Dravid; Alexei A Efros; Yossi Gandelsman
Spotlight	Vision Transformers with Self-Distilled Registers	Zipeng Yan; Yinjie Chen; Chong Zhou; Bo Dai; Andrew Luo
Spotlight	Vision-centric Token Compression in Large Language Model	Ling Xing; Alex Jinpeng Wang; Rui Yan; Xiangbo Shu; Jinhui Tang
Spotlight	VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank	Tianhe Wu; Jian Zou; Jie Liang; Lei Zhang; Kede Ma
Spotlight	VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection	Wuyang Li; Zhu Yu; Alexandre Alahi
Spotlight	WISA: World simulator assistant for physics-aware text-to-video generation	Jing Wang; Ao Ma; Ke Cao; Jun Zheng; Jiasong Feng; Zhanjie Zhang; Wanyuan Pang; Xiaodan Liang
Spotlight	Wavelet Canonical Coherence for Nonstationary Signals	Haibo Wu; Marina I. Knight; Keiland W. Cooper; Norbert J. Fortin; Hernando Ombao
Spotlight	Web-Shepherd: Advancing PRMs for Reinforcing Web Agents	Hyungjoo Chae; Sunghwan Kim; Junhee Cho; Seungone Kim; Seungjun Moon; Gyeom Hwangbo; Dongha Lim; Minjin Kim; Yeonjun Hwang; Minju Gwak; Dongwook Choi; Minseok…
Spotlight	What Expressivity Theory Misses: Message Passing Complexity for GNNs	Niklas Kemper; Tom Wollschläger; Stephan Günnemann
Spotlight	What Makes a Reward Model a Good Teacher? An Optimization Perspective	Noam Razin; Zixuan Wang; Hubert Strauss; Stanley Wei; Jason D. Lee; Sanjeev Arora
Spotlight	What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains	Chanakya Ekbote; Ashok Vardhan Makkuva; Marco Bondaschi; Nived Rajaraman; Michael Gastpar; Jason D. Lee; Paul Pu Liang
Spotlight	What are you sinking? A geometric approach on attention sink	Valeria Ruscio; Umberto Nanni; Fabrizio Silvestri
Spotlight	When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners	Weixiang Zhao; Jiahe Guo; Yang Deng; Tongtong Wu; Wenxuan Zhang; Yulin Hu; Xingyu Sui; Yanyan Zhao; Wanxiang Che; Bing Qin; Tat-Seng Chua; Ting Liu
Spotlight	When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs	Xiaomin Li; Zhou Yu; Zhiwei Zhang; Xupeng Chen; Ziji Zhang; Yingying Zhuang; Narayanan Sadagopan; Anurag Beniwal
Spotlight	When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization	Vivek Ramanujan; Kushal Tirumala; Armen Aghajanyan; Luke Zettlemoyer; Ali Farhadi
Spotlight	Which Algorithms Have Tight Generalization Bounds?	Michael Gastpar; Ido Nachum; Jonathan Shafer; Thomas Weinberger
Spotlight	Why Do Some Language Models Fake Alignment While Others Don't?	Abhay Sheshadri; John Hughes; Julian Michael; Alex Troy Mallen; Arun Jose; Fabien Roger
Spotlight	Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints	Dongjie Yang; Chengqiang Lu; Qimeng Wang; Xinbei Ma; Yan Gao; Yao Hu; hai zhao
Spotlight	Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search	Yuichi Inoue; Kou Misaki; Yuki Imajuku; So Kuroki; Taishi Nakamura; Takuya Akiba
Spotlight	Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs	Hao Kang; Qingru Zhang; Han Cai; Weiyuan Xu; Tushar Krishna; Yilun Du; Tsachy Weissman
Spotlight	Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis	Tianrui Wang; Haoyu Wang; Meng Ge; Cheng Gong; Chunyu Qiang; Ziyang Ma; Zikang Huang; Guanrou Yang; Xiaobao Wang; EngSiong Chng; Xie Chen; Longbiao Wang; Jianw…
Spotlight	X-Field: A Physically Informed Representation for 3D X-ray Reconstruction	Feiran Wang; Jiachen Tao; Junyi Wu; Haoxuan Wang; Bin Duan; Kai Wang; Zongxin Yang; Yan Yan
Spotlight	Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework	Ali Zafari; Xi Chen; Shirin Jalali
Spotlight	ZeroS: Zero‑Sum Linear Attention for Efficient Transformers	Jiecheng Lu; Xu Han; Yan Sun; Viresh Pati; Yubin Kim; Siddhartha Somani; Shihao Yang
Spotlight	d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning	Siyan Zhao; Devaansh Gupta; Qinqing Zheng; Aditya Grover
Spotlight	scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration	Jianle Sun; Chaoqi Liang; Ran Wei; Peng Zheng; LEI BAI; Wanli Ouyang; Hongliang Yan; Peng Ye
Spotlight	⁠When Data Can't Meet: Estimating Correlation Across Privacy Barriers	Abhinav Chakraborty; Arnab Auddy; T. Tony Cai
Spotlight	🎧MOSPA: Human Motion Generation Driven by Spatial Audio	Shuyang Xu; Zhiyang Dou; Mingyi Shi; Liang Pan; Leo Ho; Jingbo Wang; Yuan Liu; Cheng Lin; Yuexin Ma; Wenping Wang; Taku Komura

Official Area / Track Distribution

Official area / track	篇数	占比
deep_learning	1685	31.9%
applications	982	18.6%
theory	476	9.0%
social_and_economic_aspects_of_machine_learning	393	7.4%
reinforcement_learning	350	6.6%
general_machine_learning	345	6.5%
machine_learning_for_sciences	325	6.1%
probabilistic_methods	206	3.9%
optimization	196	3.7%
neuroscience_and_cognitive_science	162	3.1%
evaluation	56	1.1%
other	56	1.1%
infrastructure	54	1.0%
Total	5286	100.0%

关键词云图

Keywords / Topic Clusters

Official area / track	高频关键词
deep_learning	Large Language Models(114), LLM(79), Large Language Model(52), large language models(50), Reinforcement Learning(50), LLMs(43), Reasoning(41), Diffusion Models(40), diffusion models(35), reasoning(31)
applications	Large Language Models(25), 3D Gaussian Splatting(21), Reinforcement Learning(20), Diffusion Models(19), 3D Reconstruction(18), LLM(16), Diffusion Model(16), Gaussian Splatting(15), Novel View Synthesis(14), Vision-Language Models(13)
theory	online learning(19), learning theory(18), Online Learning(12), Learning Theory(10), sample complexity(10), PAC learning(10), Transformers(8), transformers(8), feature learning(7), optimization(7)
social_and_economic_aspects_of_machine_learning	interpretability(25), Interpretability(20), Differential Privacy(18), Large Language Models(16), differential privacy(16), LLM(15), Fairness(12), large language models(12), fairness(12), mechanistic interpretability(11)
reinforcement_learning	Reinforcement Learning(77), reinforcement learning(48), Imitation Learning(17), Reinforcement learning(16), Offline Reinforcement Learning(13), Robotics(11), multi-agent reinforcement learning(10), Multi-Agent Reinforcement Learning(9), Large Language Models(8), planning(7)
general_machine_learning	Representation Learning(7), contrastive learning(7), Contrastive Learning(6), Self-Supervised Learning(6), self-supervised learning(5), Federated Learning(5), machine learning(5), Online Learning(5), Conformal Prediction(5), Unsupervised Learning(4)
machine_learning_for_sciences	AI4Science(12), Graph Neural Networks(11), Diffusion Models(10), Flow Matching(8), AI for Science(6), flow matching(6), Partial Differential Equations(6), foundation model(5), Molecular Dynamics(5), Deep Learning(5)
probabilistic_methods	causal inference(13), Causal Inference(12), Uncertainty Quantification(12), variational inference(11), causality(8), Causal inference(7), conformal prediction(7), Causal Discovery(6), Bayesian optimization(6), Bayesian inference(6)
optimization	optimization(12), Optimization(10), convex optimization(9), stochastic optimization(9), Neural Combinatorial Optimization(7), Vehicle Routing Problem(6), Combinatorial Optimization(5), gradient descent(5), nonconvex optimization(5), stochastic gradient descent(5)
neuroscience_and_cognitive_science	neuroscience(15), Neuroscience(13), Spiking Neural Networks(12), EEG(10), fMRI(9), computational neuroscience(8), self-supervised learning(8), Computational Neuroscience(6), transformers(4), reinforcement learning(4)
evaluation	evaluation(10), Large Language Models(7), Evaluation(4), benchmark(3), Mathematical Reasoning(2), LLM-as-a-Judge(2), language models(2), benchmarks(2), bias(2), Robustness Evaluation(2)
other	Federated Learning(6), safety(2), Quantum Machine Learning(2), Large Language Models(2), Multimodal Learning(2), time series(2), jailbreak attack(1), large visual language models(1), visual thoughts(1), Code Generation(1)
infrastructure	LLM(5), Large Language Model(4), Mixture-of-Experts(2), LLMs(2), Distributed training(2), federated learning(2), Quantization(2), LLM Inference(2), large language models(2), context parallelism(2)

Accepted Papers

表格按 recognition -> official_category -> title 排序。标题点击后跳转到官方阅读页；Affiliation 只使用官方页面能读到的信息。

#	Paper
1	4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Authors: Zhen Xu; Zhengqin Li; Zhao Dong; Xiaowei Zhou; Richard Newcombe; Zhaoyang Lv Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Image-Based Rendering; Large Reconstruction Model; 3DGS; 4DGS; Self-Supervised Training; Monocular Reconstruction
2	A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking Authors: Zixiang Zhao; Haowen Bai; Bingxin Ke; Yukun Cui; Lilun Deng; Yulun Zhang; Kai Zhang; Konrad Schindler Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: image fusion; video fusion; low-level vision
3	AI-Researcher: Autonomous Scientific Innovation Authors: Jiabin Tang; Lianghao Xia; Zhonghang Li; Chao Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: LLM agents; AI for Science
4	ARECHO: Autoregressive Evaluation via Chain-Based Hypothesis Optimization for Speech Multi-Metric Estimation Authors: Jiatong Shi; Yifan Cheng; Bo-Hao Su; Hye-jin Shim; Jinchuan Tian; Samuele Cornell; Yiwen Zhao; Siddhant Arora; Shinji Watanabe Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Speech Evaluation; Speech Assessment; Speech Profiling; Dynamic Classifier Chain
5	ARM: Adaptive Reasoning Model Authors: Siye Wu; Jian Xie; Yikai Zhang; Aili Chen; Kai Zhang; Yu Su; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Language Models; Large Reasoning Models; Adaptive Reasoning
6	Absolute Zero: Reinforced Self-play Reasoning with Zero Data Authors: Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: reasoning; language model; reinforcement learning; self-play; LLM
7	AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play Authors: Ran Xu; Yuchen Zhuang; Zihan Dong; Ruiyu Wang; Yue Yu; Joyce C. Ho; Linjun Zhang; Haoyu Wang; Wenqi Shi; Carl Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: large language model; retrieval augmented generation; self-play
8	Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates Authors: Seunghyeok Shin; Dabin Kim; Hongki Lim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D reconstruction; point cloud generation; diffusion model
9	Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization Authors: Cong Wang; Zexuan Deng; Zhiwei Jiang; Yafeng Yin; Fei Shen; Zifeng Cheng; Shiping Ge; Shiwei Gan; Qing Gu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Sign Language; Video Generation; Diffusion Models
10	Alligat0R: Pre-Training through Covisibility Segmentation for Relative Camera Pose Regression Authors: Thibaut Loiseau; Guillaume Bourmaud; Vincent Lepetit Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: pre-training; co-visibility; 3D; pose estimation; pose regression
11	Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models Authors: Sreyan Ghosh; Arushi Goel; Jaehyeon Kim; Sonal Kumar; Zhifeng Kong; Sang-gil Lee; Chao-Han Huck Yang; Ramani Duraiswami; Dinesh Manocha; Rafael Valle; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Audio Language Models; Audio and Music Understanding; Multi-Dialogue Chat; Reasoning
12	BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization Authors: Qiwei Wang; Wu Shaoxun; Yujiao Shi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Cross-view Localization; Weakly-supervised
13	Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining Authors: Raghuveer Thirukovalluru; Rui Meng; Ye Liu; Karthikeyan K; Mingyi Su; Ping Nie; Semih Yavuz; Yingbo Zhou; Wenhu Chen; Bhuwan Dhingra Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Batch Mining; Contrastive Learning; Multimodal Embeddings
14	CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering Authors: Zhengqing Wang; Yuefan Wu; Jiacheng Chen; Fuyang Zhang; Yasutaka Furukawa Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Novel View Synthesis; Scene Representation; Compression
15	COOPERA: Continual Open-Ended Human-Robot Assistance Authors: Chenyang Ma; Kai Lu; Ruta Desai; Xavier Puig; Andrew Markham; Niki Trigoni Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Human-Robot Collaboration; Human Simulation; Social Embodied Agent
16	CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models Authors: Shristi Das Biswas; Arani Roy; Kaushik Roy Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Concept Removal; Text-to-Image Models
17	Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need? Authors: Junchi Yu; Yujie Liu; Jindong Gu; Philip Torr; Dongzhan Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: graph machine learning; knowledge graph; LLM
18	Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment Authors: Bryan Sangwoo Kim; Jeongsol Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: generative models; super-resolution
19	Co-Reinforcement Learning for Unified Multimodal Understanding and Generation Authors: Jingjing Jiang; Chongjie Si; Jun Luo; Hanwang Zhang; Chao Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Reinforcement Learning; GRPO; Unified Multimodal Understanding and Generation
20	Complete Structure Guided Point Cloud Completion via Cluster- and Instance-Level Contrastive Learning Authors: Yang Chen; Yirun Zhou; WEIZHONG ZHANG; Cheng Jin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D computer Vision; Point cloud; self-supervised point cloud completion; contrastive Learning
21	Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization Authors: Shaohan Li; Yunpeng Shi; Gilad Lerman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Robust Synchronization; Camera Location Estimation; Structure from Motion; Computer Vision
22	DERD-Net: Learning Depth from Event-based Ray Densities Authors: Diego de Oliveira Hitzges; Suman Ghosh; Guillermo Gallego Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Event-based vision; Depth estimation; Multi-view stereo; Deep learning; Disparity space images
23	DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method Authors: Qingwen Zhang; Xiaomeng Zhu; Yushan Zhang; Yixi Cai; Olov Andersson; Patric Jensfelt Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Scene flow estimation; Point clouds; Efficient and scalable vision
24	Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method Authors: Han Xu; Yuyang Li; Yunfei Deng; Jiayi Ma; Guangcan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Unsupervised learning; image fusion; infrared; convolutional low-rankness
25	DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models Authors: Ziyi Wu; Anil Kag; Ivan Skorokhodov; Willi Menapace; Ashkan Mirzaei; Igor Gilitschenski; Sergey Tulyakov; Aliaksandr Siarohin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: video generation; diffusion model; direct preference optimization
26	DexGarmentLab: Dexterous Garment Manipulation Environment with Generalizable Policy Authors: Yuran Wang; Ruihai Wu; Yue Chen; Jiarui Wang; Jiaqi Liang; Ziyu Zhu; Haoran Geng; Jitendra Malik; Pieter Abbeel; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Garment Manipulation; Datasets and Benckmarks; Dexterous Hands Manipulation; Automated Data Collection; Imitation Learning
27	Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition Authors: Jongseo Lee; Wooil Lee; Gyeong-Moon Park; Seong Tae Kim; Jinwoo Choi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Video Action Recognition; Explainable AI; XAI; Concept; Disentangling; Motion Dynamics; Context
28	EAG3R: Event-Augmented 3D Geometry Estimation for Dynamic and Extreme-Lighting Scenes Authors: Xiaoshan Wu; Yifei Yu; Xiaoyang Lyu; Yi-Hua Huang; Bo Wang; Baoheng Zhang; Zhongrui Wang; XIAOJUAN QI Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Event Camera; 3D Vision; Neuromorphic Computing
29	EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting Authors: Bohao Liao; Wei Zhai; Zengyu Wan; Zhixin Cheng; Wenfei Yang; Yang Cao; Tianzhu Zhang; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Gaussian Splatting (3DGS); Novel View Synthesis (NVS)
30	EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis Authors: Yancheng Zhang; Guangyu Sun; Chen Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Gaussian Splatting; Novel View Synthesis
31	ESCA: Contextualizing Embodied Agents via Scene-Graph Generation Authors: Jiani Huang; Amish Sethi; Matthew Kuo; Mayank Keoliya; Neelay Velingker; JungHo Jung; Ser-Nam Lim; Ziyang Li; Mayur Naik Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: neurosymbolic; scene graph; multimodal; MLLM agents
32	Enhancing CLIP Robustness via Cross-Modality Alignment Authors: Xingyu Zhu; Beier Zhu; Shuo Wang; Kesen Zhao; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Vision-language Model; Robustness; Alignment
33	Enhancing LLM Watermark Resilience Against Both Scrubbing and Spoofing Attacks Authors: Huanming Shen; Baizhou Huang; Xiaojun Wan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: machine learning security; llm watermarking
34	Fast-Slow Thinking GRPO for Large Vision-Language Model Reasoning Authors: Wenyi Xiao; Leilei Gan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Vision-Language Model; Fast-Slow Thinking; Reasoning
35	Feedback-Aware MCTS for Goal-Oriented Information Seeking Authors: Harshita Chopra; Chirag Shah Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Information Seeking; Large Language Models; Uncertainty Reduction; Planning; Search
36	Fine-grained List-wise Alignment for Generative Medication Recommendation Authors: Chenxiao Fan; Chongming Gao; Wentao Shi; Yaxin Gong; Zhao Zihao; Fuli Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Medication Recommendation; Large Language Models; Reinforcement Learning; Electronic Health Record; Reward Shaping
37	FlowFeat: Pixel-Dense Embedding of Motion Profiles Authors: Nikita Araslanov; Anna Ribic; Daniel Cremers Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: representation learning; optical flow
38	GSRF: Complex-Valued 3D Gaussian Splatting for Efficient Radio-Frequency Data Synthesis Authors: Kang Yang; Gaofeng Dong; Sijie Ji; Wan Du; Mani Srivastava Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Gaussian Splatting; Complex-Valued Modeling; RF Data Synthesis
39	Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS Authors: Tao Wang; Mengyu Li; Geduo Zeng; Cheng Meng; Qiong Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Gaussian splatting; model compaction; Gaussian mixture reduction; composite transport divergence; optimal transport
40	GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving Authors: Shuai Liu; Quanmin Liang; Zefeng Li; Boyang Li; Kai Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: End-to-End Autonomous Driving; Multi-Sensor Fusion; Gaussian
41	Gaze Beyond the Frame: Forecasting Egocentric 3D Visual Span Authors: Heeseung Yun; Joonil Na; Jaeyeon Kim; Calvin Murdock; Gunhee Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Egocentric vision; Gaze anticipation; 2D to 3D lifting
42	GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals Authors: Jiachen Lu; Hailan Shanbhag; Haitham Al Hassanieh Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Radio Frequency; Radar; Multi-view Reconstruction; Neural Rendering
43	GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation Authors: Yi Dong; Yuxi Wang; Xianhui Lin; Wenqi Ouyang; Zhiqi Shen; Peiran Ren; Ruoxi Fan; Rynson W. H. Lau Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: color enhancement
44	GeoRemover: Removing Objects and Their Causal Visual Artifacts Authors: Zixin Zhu; Haoxiang Li; Xuelu Feng; He Wu; Chunming Qiao; Junsong Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Object removal; diffusion; Geometry
45	GeoSVR: Taming Sparse Voxels for Geometrically Accurate Surface Reconstruction Authors: Jiahe Li; Jiawei Zhang; Youmin Zhang; Xiao Bai; Jin Zheng; Xiaohan Yu; Lin Gu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: surface reconstruction; 3D reconstruction; sparse voxels
46	High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search Authors: Xilin Xia; Jie Wang; Wanbo Zhang; Zhihai Wang; Mingxuan Yuan; Jianye HAO; Feng Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Arithmetic Circuit Optimization; AI for Electronic Design Automation; Differentiable Architecture Search
47	HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios Authors: Kunyu Peng; Junchao Huang; Xiangsheng Huang; Di Wen; Junwei Zheng; Yufan Chen; Kailun Yang; Jiamin Wu; Chongqing Hao; Rainer Stiefelhagen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Human action segmentation; video understanding
48	Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes Authors: Haonan Wang; Hanyu Zhou; Haoyue Liu; Luxin Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: optical flow estimation; event camera; diffusion models
49	InstructHOI: Context-Aware Instruction for Multi-Modal Reasoning in Human-Object Interaction Detection Authors: Jinguo Luo; Weihong Ren; Quanlong Zheng; Yanhao Zhang; Zhenlong Yuan; Zhiyong Wang; Haonan Lu; Honghai LIU Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Human-Object Interaction Detection; Interaction Reasoning
50	LABridge: Text–Image Latent Alignment Framework via Mean-Conditioned OU Process Authors: Huiyang Shao; Xin Xia; Yuxi Ren; XING WANG; Xuefeng Xiao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: diffusion; alignment; OU Process
51	LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering Authors: Jonas Kulhanek; Marie-Julie Rakotosaona; Fabian Manhardt; Christina Tsalicoglou; Michael Niemeyer; Torsten Sattler; Songyou Peng; Federico Tombari Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Gaussian splatting; Level-of-Detail
52	Language Modeling by Language Models Authors: Junyan Cheng; Peter Clark; Kyle Richardson Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Autonomous Scientific Discovery; Large Language Model Agents; Genetic Programming
53	Language Models can Self-Improve at State-Value Estimation for Better Search Authors: Ethan Mendes; Alan Ritter Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: LLMs; agents; reasoning; self-improvement; multi-step reasoning; search
54	Latent Policy Barrier: Learning Robust Visuomotor Policies by Staying In-Distribution Authors: Zhanyi Sun; Shuran Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Imitation Learning; Out-of-Distribution Generalization; Robotic Manipulation
55	Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models Authors: Chantal Shaib; Vinith Menon Suriyakumar; Byron C Wallace; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: templates; compositionality; language models
56	Learning to Factorize Spatio-Temporal Foundation Models Authors: Siru Zhong; Junjie Qiu; Yangyu Wu; Xingchen Zou; Zhongwen Rao; Bin Yang; Chenjuan Guo; Hao Xu; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Spatio-Temporal Forecasting; Foundation Models
57	LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Authors: Yusuf Dalva; Hidir Yesiltepe; Pinar Yanardag Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: lora; image editing; t2i; flux
58	LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers Authors: Liting Lin; Heng Fan; Zhipeng Zhang; Yuqing Huang; Yaowei Wang; Yong Xu; Haibin Ling Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: visual object tracking
59	MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification Authors: Yingying Feng; Jie Li; Jie Hu; Yukang Zhang; Lei Tan; Jiayi Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Multi-modal Person Re-identification; Modality Decoupled Learning
60	MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning Authors: Jinkun Hao; Naifu Liang; Zhen Luo; Xudong XU; Weipeng Zhong; Ran Yi; Yichen Jin; Zhaoyang Lyu; Feng Zheng; Lizhuang Ma; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D scene generation; 3D; Tabletop Scene Generation; Tabletop Dataset
61	Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning Authors: Jian Liu; Jing Xu; Song Guo; Jing Li; Guojingfeng; Jiaao Yu; Haohan Weng; Biwen Lei; Xianghui Yang; Zhuo Chen; Fangqi Zhu; Tao Han; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Autoregressive Mesh Generation; Reinforcement Learning; Topology Optimization
62	Meta CLIP 2: A Worldwide Scaling Recipe Authors: Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James R. Glass; LIFEI HUANG; Jason E Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; Saining… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: CLIP; curation; multimodal; web; multilingual; data curation; pretraining; visual-language; contrastive learning; long-tail distribution; scaling
63	MetaGS: A Meta-Learned Gaussian-Phong Model for Out-of-Distribution 3D Scene Relighting Authors: Yumeng He; Yunbo Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Neural rendering; 3D relighting; meta-learning
64	MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions Authors: Pucheng Dang; Di Huang; Dong Li; Kang Chen; Yuanbo Wen; Qi Guo; Xing Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Code Migration; Linux Kernel; Out-of-Tree Patch Migration; large language models; Code Structure Analysis
65	MoCha: Towards Movie-Grade Talking Character Generation Authors: Cong Wei; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: video generation; diffusion; lipsync; talking head; dialogue-driven video generation
66	MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation Authors: Ziru Wang; Mengmeng Wang; Guang Dai; Yongliu Long; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Robotic Manipulation; Cross-Modal Knowledge Distillation; Policy Learning
67	Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search Authors: Huanjin Yao; Jiaxing Huang; Wenhao Wu; Jingyi Zhang; Yibo Wang; Shunyu Liu; Yingjie Wang; YuXin Song; Haocheng Feng; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Multi-Modal Large Language Model; Monte Carlo Tree Search; Reasoning
68	Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment Authors: Chen Liu; Wenfang Yao; Kejing Yin; William K. Cheung; Jing Qin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Longitudinal Multimodal Fusion; Disease Progression Modeling; Clinical Prediction
69	Neighborhood Self-Dissimilarity Attention for Medical Image Segmentation Authors: Chen Junren; Rui Chen; Wang-wei; Junlong Cheng; Gang Liang; zhanglei-scu; Liangyin Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Digital Health Equity; Medical Image Segmentation; Prior Knowledge for AI; Efficient and Scalable Vision; Attention Mechanism
70	Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting Authors: Yuxuan Yang; Dalin Zhang; Yuxuan Liang; Hua Lu; Gang Chen; Huan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Time Series Forecasting; Self-supervised Learning; pseudo labels; adaptive mask
71	Object-centric 3D Motion Field for Robot Learning from Human Videos Authors: Zhao-Heng Yin; Sherry Yang; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Learning from videos; Robot Learning; 3D Perception
72	OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers Authors: Ziqiao Peng; Jiwen Liu; Haoxian Zhang; Xiaoqiang Liu; Songlin Tang; Pengfei Wan; Di ZHANG; Hongyan Liu; Jun He Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Lip Synchronization; Diffusion Transformers; Talking Head Generation
73	OpenBox: Annotate Any Bounding Boxes in 3D Authors: In-Jae Lee; Mungyeom Kim; Kwonyoung Ryu; Pierre Musacchio; Jaesik Park Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Object Detection; Autonomous Driving; Automatic Annotation; Open-Vocabulary
74	OpenCUA: Open Foundations for Computer-Use Agents Authors: Xinyuan Wang; Bowen Wang; Dunjie Lu; Junlin Yang; Tianbao Xie; Junli Wang; Jiaqi Deng; Xiaole Guo; Yiheng Xu; Chen Henry Wu; Zhennan Shen; Zhuokai Li; Ryan Li; Xiaochuan Li; Junda… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Computer-Use Agent; Visual Language Model; Planning; Reasoning; Scaling; Dataset; Evaluation
75	Orient Anything V2: Unifying Orientation and Rotation Understanding Authors: Zehan Wang; Ziang Zhang; Jiayang Xu; Jialei Wang; Tianyu Pang; Chao Du; Hengshuang Zhao; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Orientation Estimation; 6DoF Pose Estimation
76	PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding Authors: Ansel Blume; Jeonghwan Kim; Hyeonjeong Ha; Elen Chatikyan; Xiaomeng Jin; Khanh Duy Nguyen; Nanyun Peng; Kai-Wei Chang; Derek Hoiem; Heng Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: part segmentation; part detection; vision language; large multimodal models
77	Path-Enhanced Contrastive Learning for Recommendation Authors: Haoran Sun; Fei Xiong; Yuanzhe Hu; Liang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: graph mining; recommender systems; self-supervised learning; Contrastive Learning; Data Augmentation
78	PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Authors: Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz; Yale Song; Tengyu Ma; Shuming Hu; Suyog Jain; Miguel Martin; Huiyu Wang;… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: llm; mllm; vlm; vision and language; perception
79	Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning Authors: Jaehun Jung; Seungju Han; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Language Models; Data Diversity; Data Quality; Synthetic Data; LLM Reasoning
80	Puppeteer: Rig and Animate Your 3D Models Authors: Chaoyue Song; Xiu Li; Fan Yang; Zhongcong Xu; Jiacheng Wei; Fayao Liu; Jiashi Feng; Guosheng Lin; Jianfeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Automatic rigging; 3D animation; auto-regressive generation
81	Q-Insight: Understanding Image Quality via Visual Reinforcement Learning Authors: Weiqi Li; Xuanyu Zhang; Shijie Zhao; Yabin ZHANG; Junlin Li; Li zhang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: image quality understanding; multi-modal large language model; reinforcement learning
82	RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes Authors: Fang Li; Hao Zhang; Narendra Ahuja Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 4D reconstruction; camera parameter optimization; visual localization
83	ROGR: Relightable 3D Objects using Generative Relighting Authors: Jiapeng Tang; Matthew Jacob Levine; Dor Verbin; Stephan J. Garbin; Matthias Nießner; Ricardo Martin Brualla; Pratul P. Srinivasan; Philipp Henzler Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Reflectance modeling; Relighting; Neural Radiance Fields; Diffusion Models
84	ReSim: Reliable World Simulation for Autonomous Driving Authors: Jiazhi Yang; Kashyap Chitta; Shenyuan Gao; Long Chen; Yuqian Shao; Xiaosong Jia; Hongyang Li; Andreas Geiger; Xiangyu Yue; Li Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Autonomous Driving; World Model
85	Rectified Point Flow: Generic Point Cloud Pose Estimation Authors: TAO SUN; Liyuan Zhu; Shengyu Huang; Shuran Song; Iro Armeni Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Point Cloud Registration; Rectified Flow; Multi-Part Assembly; Shape Assembly
86	RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving Authors: Huacan Wang; Ziyi Ni; Shuo Zhang; Shuo Lu; Sen Hu; Ziyang He; Chen Hu; Jiaye Lin; Yifu Guo; Yuntao Du; Pin Lyu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Repository Comprehension; GitHub Integration; Efficient Repository Exploration; Autonomous Agents
87	Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues Authors: Chinmay Talegaonkar; Nikhil Gandudi Suresh; Zachary Novack; Yash Belhe; Priyanka Nagasamudra; Nicholas Antipa Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Monocular Depth; Defocus Blur; Diffusion Models; Zero Shot Depth; Inference Time Optimization
88	Reverse Engineering Human Preferences with Reinforcement Learning Authors: Lisa Alazraki; Yi-Chern Tan; Jon Ander Campos; Maximilian Mozes; Marek Rei; Max Bartolo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: LLM-as-a-judge; Human Preferences; Reinforcement Learning; Adversarial attack; Robustness
89	Rig3R: Rig-Aware Conditioning and Discovery for 3D Reconstruction Authors: Samuel Li; Pujith Kachana; Prajwal Chidananda; Saurabh Nair; Yasutaka Furukawa; Matthew Brown Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Computer Vision; 3D Reconstruction; Pose Estimation
90	Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting Authors: Chengqi Li; Zhihao Shi; Yangdi Lu; Wenbo He; Xiangyu Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Novel View Synthesis; 3D Reconstruction; In-the-wild Data
91	RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness Authors: Fanhu Zeng; Haiyang Guo; Fei Zhu; Li Shen; Hao Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Model merging; Multi-modal large language model; Multi-task learning; Parameter-efficient tuning; Robust Fine-tuning; Federated Learning
92	SIU3R: Simultaneous Scene Understanding and 3D Reconstruction Beyond Feature Alignment Authors: Qi Xu; Dongxu Wei; Lingzhe Zhao; Wenpu Li; Zhangchi Huang; Shunping Ji; Peidong Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Reconstruction; Scene Understanding; Gaussian Splatting; Feed-Forward; Multi-Modality
93	SViMo: Synchronized Diffusion for Video and Motion Generation in Hand-object Interaction Scenarios Authors: Lingwei Dang; Ruizhi Shao; Hongwen Zhang; Wei MIN; Yebin Liu; Qingyao Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: hand-object interaction; synchronized diffusion; visual prior; motion dynamic
94	SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose Manipulation Authors: Zhenyuan Qin; Xincheng Shuai; Henghui Ding Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Image Generation; SceneDesigner; 9-DoF Pose Manipulation
95	Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging Authors: Hongjin Qian; Zheng Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Complex knowledge discovery; Search-Enhanced Reasoning; Retrieval-Augmented Generation
96	SegMASt3R: Geometry Grounded Segment Matching Authors: Rohit Jayanti; Swayam Agrawal; Vansh Garg; Siddharth Tourani; Muhammad Haris Khan; Sourav Garg; Madhava Krishna Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Segment Matching; 3D Instance Mapping; Object-Level Topological Navigation
97	Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals Authors: Stefan Stojanov; David Wendt; Seungwoo Kim; Rahul Mysore Venkatesh; Kevin Feigelis; Klemen Kotar; Khai Loong Aw; Jiajun Wu; Daniel LK Yamins Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: self-supervised learning; motion understanding; visual tracking; video foundation modeling
98	ShapeLLM-Omni: A Native Multimodal LLM for 3D Generation and Understanding Authors: Junliang Ye; Zhengyi Wang; Ruowen Zhao; Shenghao Xie; Jun Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: LLM; MLLM; 3D generation; gpt-4o; Editing
99	SimWorld: An Open-ended Simulator for Agents in Physical and Social Worlds Authors: Xiaokang Ye; Jiawei Ren; Yan Zhuang; Xuhong He; Yiming Liang; Yiqing Yang; Mrinaal Dogra; Xianrui Zhong; Eric Liu; Kevin Benavente; Rajiv Mandya Nagaraju; Dhruv Vivek Sharma; Ziqi… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Multi-Agent Simulator; Real World Agent; Social Simulation; Physical Simulation
100	SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement Authors: Xiyao Wang; Zhengyuan Yang; Chao Feng; Hongjin Lu; Linjie Li; Chung-Ching Lin; Kevin Lin; Furong Huang; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: vision language model; reinforcement finetuning; vlm reasoning; data selection
101	Spatial Understanding from Videos: Structured Prompts Meet Simulation Data Authors: Haoyu Zhang; Meng Liu; Zaijing Li; Haokun Wen; Weili Guan; Yaowei Wang; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Visual-Spatial Understanding; Vision-Language Model; Prompting
102	Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation Authors: Hao Zhang; Chun-Han Yao; Simon Donné; Narendra Ahuja; Varun Jampani Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Video Generation; Part Decomposition; Kinematic Parts
103	TGA: True-to-Geometry Avatar Dynamic Reconstruction Authors: Bo Guo; Sijia Wen; Ziwei Wang; Yifan Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Avatar; 3D Reconstruction; 3DGS
104	Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation Authors: Yuyang Li; Wenxin Du; Chang Yu; Puhao Li; Zihang Zhao; Tengyu Liu; Chenfanfu Jiang; Yixin Zhu; Siyuan Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: tactile sensing; simulation; robotics
105	Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras Authors: Lingdong Kong; Dongyue Lu; Alan Liang; Rong Li; Yuhao Dong; Tianshuai Hu; Lai Xing Ng; Wei Tsang Ooi; Benoit R Cottereau Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Event Camera Vision; Dynamic Scene Understanding
106	TimeWak: Temporal Chained-Hashing Watermark for Time Series Data Authors: Zhi Wen Soi; Chaoyi Zhu; Fouad Abiad; Aditya Shankar; Jeroen M. Galjaard; Huijuan Wang; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Watermarking; Time Series; Diffusion Models
107	To Think or Not To Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning Authors: Ming Li; Jike Zhong; Shitian Zhao; Yuxiang Lai; Haoquan Zhang; Wang Bill Zhu; Kaipeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Visual Reinforcement Fine-Tuning; explicit thinking; overthinking
108	Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models Authors: Xiaowen Cai; Daizong Liu; Xiaoye Qu; Xiang Fang; Jianfeng Dong; Keke Tang; Pan Zhou; Lichao Sun; Wei Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Vision-Language Models; Adversarial Attack; Transferability
109	Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs Authors: Insu Lee; Wooje Park; Jaeyun Jang; Minyoung Noh; Kyuhong Shim; Byonghyo Shim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Large Vision-Language Models; Egocentric; Exocentric; Visual Question Answering
110	Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery Authors: Ming Hu; Zhengdi Yu; Feilong Tang; Kaiwen Chen; Yulong Li; Imran Razzak; Junjun He; Tolga Birdal; Kaijing Zhou; Zongyuan Ge Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Reconstruction; Ophthalmic Surgery; Hand–Instrument Interaction; Surgical Vision
111	TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model Authors: Yichen Liu; Yan Lin; Shengnan Guo; Zeyu Zhou; Youfang Lin; Huaiyu Wan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Trajectory Representation Learning; Spatio-Temporal Data Mining; Self-supervised
112	TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning Authors: Sheng Wang; Pengan CHEN; Jingqi Zhou; Qintong Li; Jingwei Dong; Jiahui Gao; Boyang XUE; Jiyue Jiang; Lingpeng Kong; Chuan Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Data Synthesis; Tree-Guided Space Partitioning; Data Diversity Enhancement
113	UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface Authors: Hao Tang; Chen-Wei Xie; Haiyang Wang; Xiaoyi Bao; Tingyu Weng; Pandeng Li; Yun Zheng; Liwei Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: fine-grained visual perception; unified modeling; multimodal large language models
114	Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning Authors: Tianxing Wu; Shutong Zhu; Jingting Wang; Ning Xu; Guilin Qi; Haofen Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Uncertain Knowledge Graph Completion; Confidence Distribution Learning; Meta Self-Training
115	Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models Authors: Jun Zhao; Yongzhuo Yang; Xiang Hu; Jingqi Tong; Yi Lu; Wei Wu; Tao Gui; Qi Zhang; Xuanjing Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Natural Language Processing; Information Retrieval; Network Analysis
116	UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting Authors: Kai He; Ruofan Liang; Jacob Munkberg; Jon Hasselgren; Nandita Vijaykumar; Alexander Keller; Sanja Fidler; Igor Gilitschenski; Zan Gojcic; Zian Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Relighting; Inverse Rendering; Diffusion Models
117	VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction Authors: Chaoyou Fu; Haojia Lin; Xiong Wang; YiFan Zhang; Yunhang Shen; Xiaoyu Liu; Haoyu Cao; Zuwei Long; Heting Gao; Ke Li; Long MA; Xiawu Zheng; Rongrong Ji; Xing Sun; Caifeng Shan; Ran… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Multimodal Large Language Models; Large Vision Language Models
118	Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2 Authors: Ziqi Zhou; Yifan Hu; Yufei Song; Zijing Li; Shengshan Hu; Leo Yu Zhang; Dezhong Yao; Long Zheng; Hai Jin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Universal Adversarial Attack; SAM2; Video Segmentation
119	Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding Authors: Xiaoqian Shen; Wenxuan Zhang; Jun Chen; Mohamed Elhoseiny Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Long Video Understanding; Retrieval-augmented generation; GraphRAG
120	VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rank Authors: Tianhe Wu; Jian Zou; Jie Liang; Lei Zhang; Kede Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Image Quality Assessment; Reinforcement Learning; Reasoning-induced no-reference IQA model
121	VoxDet: Rethinking 3D Semantic Scene Completion as Dense Object Detection Authors: Wuyang Li; Zhu Yu; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Semantic Scene Completion; Free-lunch; Voxel-to-Instance (VoxNT) Trick; Dense Object Detection
122	Web-Shepherd: Advancing PRMs for Reinforcing Web Agents Authors: Hyungjoo Chae; Sunghwan Kim; Junhee Cho; Seungone Kim; Seungjun Moon; Gyeom Hwangbo; Dongha Lim; Minjin Kim; Yeonjun Hwang; Minju Gwak; Dongwook Choi; Minseok Kang; Gwanhoon Im; B… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Web Agent; Reward Model; LLM
123	When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners Authors: Weixiang Zhao; Jiahe Guo; Yang Deng; Tongtong Wu; Wenxuan Zhang; Yulin Hu; Xingyu Sui; Yanyan Zhao; Wanxiang Che; Bing Qin; Tat-Seng Chua; Ting Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Multilingual Reasoning; Large Language Models; Cross-Lingual Generalization
124	Wide-Horizon Thinking and Simulation-Based Evaluation for Real-World LLM Planning with Multifaceted Constraints Authors: Dongjie Yang; Chengqiang Lu; Qimeng Wang; Xinbei Ma; Yan Gao; Yao Hu; hai zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Real-World Planning; Travel Planning; Simulation-based Evaluation; Large Language Model; Agent; Reinforcement Learning
125	Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis Authors: Tianrui Wang; Haoyu Wang; Meng Ge; Cheng Gong; Chunyu Qiang; Ziyang Ma; Zikang Huang; Guanrou Yang; Xiaobao Wang; EngSiong Chng; Xie Chen; Longbiao Wang; Jianwu Dang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Emotion Control; Speech Rate Control; Controllable Speech Synthesis; Word-Level Control
126	X-Field: A Physically Informed Representation for 3D X-ray Reconstruction Authors: Feiran Wang; Jiachen Tao; Junyi Wu; Haoxuan Wang; Bin Duan; Kai Wang; Zongxin Yang; Yan Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Reconstruction; X-ray
127	🎧MOSPA: Human Motion Generation Driven by Spatial Audio Authors: Shuyang Xu; Zhiyang Dou; Mingyi Shi; Liang Pan; Leo Ho; Jingbo Wang; Yuan Liu; Cheng Lin; Yuexin Ma; Wenping Wang; Taku Komura Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: 3D Human Motion Generation
128	$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models Authors: TaeHoon Yoon; Yunhong Min; Kyeongmin Yeo; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Inference-time reward alignment; Score-based generative models
129	3D Equivariant Visuomotor Policy Learning via Spherical Projection Authors: Boce Hu; Dian Wang; David Klee; Heng Tian; Xupeng Zhu; Haojie Huang; Robert Platt; Robin Walters Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Equivariance; Visuomotor Policy Learning; Robotic Manipulation
130	A Closer Look at Graph Transformers: Cross-Aggregation and Beyond Authors: Jiaming Zhuo; Ziyi Ma; Yintong Lu; Yuwei Liu; Kun Fu; Di Jin; Chuan Wang; Wenning Wu; Zhen Wang; Xiaochun Cao; Liang Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Node Classification; Graph Transformer; Cross-attention Mechanism
131	A Closer Look at Model Collapse: From a Generalization-to-Memorization Perspective Authors: Lianghe Shi; Meng Wu; Huijie Zhang; Zekai Zhang; Molei Tao; Qing Qu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion model; memorization; generative model
132	A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone Authors: Jitai Hao; Qiang Huang; Hao Liu; Xinyan Xiao; Zhaochun Ren; Jun Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLMs; Knowledge Distillation; Pruning; Efficient Pre-training; Model Compression
133	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench Authors: Edan Toledo; Karen Hambardzumyan; Martin Josifoski; RISHI HAZRA; Nicolas Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lu… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Agents; Code generation; AutoML; LLM-driven search; ML Engineering Agents; ML Research Agents; AI Research Agents
134	ARIA: Training Language Agents with Intention-driven Reward Aggregation Authors: Ruihan Yang; Yikai Zhang; Aili Chen; Xintao Wang; Jiangjie Chen; Siyu Yuan; Deqing Yang; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Language Agent; Agent Learning; Reinforcement Learning
135	Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency Authors: Renzhao Liang; Sizhe Xu; Chenggang Xie; Jingru Chen; Feiyang Ren; Shu Yang; Takahiro Yabe Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Time Series Forecasting; Redundant Feature Suppression; Adaptive Masking Loss
136	Accelerating Diffusion LLMs via Adaptive Parallel Decoding Authors: Daniel Mingyi Israel; Guy Van den Broeck; Aditya Grover Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; discrete diffusion; autoregression; sequential; fast; throughput; speculative decoding
137	Achilles' Heel of Mamba: Essential difficulties of the Mamba architecture demonstrated by synthetic data Authors: Tianyi Chen; Pengxiao Lin; Zhiwei Wang; Zhi-Qin John Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Mamba; Transformer; Deep learning
138	Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Authors: Zekai Zhao; Qi Liu; Kun Zhou; Zihan Liu; Yifei Shao; Zhiting Hu; Biwei Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Long Chain of Thoughts
139	AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking Authors: Xiangqi Wang; Yue Huang; Yanbo Wang; Xiaonan Luo; Kehan Guo; Yujun Zhou; Xiangliang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Adaptive reasoning; LLM reasoning; Reinforcement learning; large language models
140	AdaSPEC: Selective Knowledge Distillation for Efficient Speculative Decoders Authors: Yuezhou Hu; Jiaxin Guo; Xinyu Feng; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Speculative Decoding; Large Language Models; Knowledge Distillation; Token Selection
141	AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement Authors: J Rosser; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: AI Safety; Multi-Agent Systems; LLMs; Large Language Models; Jailbreaking; Agent Scaffolds
142	Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Authors: Olawale Elijah Salaudeen; Haoran Zhang; Kumail Alhamoud; Sara Beery; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: OOD Generalization Benchmarks
143	Aligning Text-to-Image Diffusion Models to Human Preference by Classification Authors: Longquan Dai; Xiaolu Wei; He Wang; Shaomeng Wang; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion Models; Human Preference
144	Ambient Diffusion Omni: Training Good Models with Bad Data Authors: Giannis Daras; Adrian Rodriguez-Munoz; Adam Klivans; Antonio Torralba; Constantinos Costis Daskalakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: ambient diffusion; diffusion models; corrupted data; generative AI
145	Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Authors: Qinsi Wang; Jinghan Ke; Hancheng Ye; Yueqian Lin; Yuzhe Fu; Jianyi Zhang; Kurt Keutzer; Chenfeng Xu; Yiran Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Efficiency; Data Optimization; Reinforcement Fine-Tuning; Training‑Efficient RFT
146	Approximate Domain Unlearning for Vision-Language Models Authors: Kodai Kawamura; Yuta Goto; Rintaro Yanagi; Hirokatsu Kataoka; Go Irie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Approximate unlearning; Vision-Language Models
147	Asymmetric Duos: Sidekicks Improve Uncertainty Authors: Tim G. Zhou; Evan Shelhamer; Geoff Pleiss Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Uncertainty Quantification; Ensembles; Deep Learning; Transfer Learning
148	AuroRA: Breaking Low-Rank Bottleneck of LoRA with Nonlinear Mapping Authors: Haonan Dong; Wenhao Zhu; Guojie Song; Liang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Parameter-Efficient Fine-Tuning; LoRA; LLM
149	Axial Neural Networks for Dimension-Free Foundation Models Authors: Hyunsu Kim; Jonggeon Park; Joan Bruna; Hongseok Yang; Juho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Parameter Sharing; Dimension Agnostic; Axis Permutation; Foundation Model; Message Passing; PDE; Architecture
150	Balancing Multimodal Training Through Game-Theoretic Regularization Authors: Konstantinos Kontras; Thomas Strypsteen; Christos Chatzichristos; Paul Pu Liang; Matthew B. Blaschko; Maarten De Vos Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multimodal Deep Learning; Multimodal Competition
151	Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models Authors: Tyler A. Chang; Ben Bergen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: language models; bigrams; ngrams; mechanistic interpretability; subnetworks
152	Blackbox Model Provenance via Palimpsestic Membership Inference Authors: Rohith Kuditipudi; Jing Huang; Sally Zhu; Diyi Yang; Christopher Potts; Percy Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: provenance; membership inference; model stealing
153	Boosting Generative Image Modeling via Joint Image-Feature Synthesis Authors: Theodoros Kouzelis; Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion models; Representation learning
154	Bridging Theory and Practice in Link Representation with Graph Neural Networks Authors: Veronica Lachi; Francesco Ferrini; Antonio Longa; Bruno Lepri; Andrea Passerini; Manfred Jaeger Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Graph Neural Networks; Link Representation; Expressiveness
155	CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching Authors: Chen Chen; Pengsheng Guo; Liangchen Song; Jiasen Lu; Rui Qian; Tsu-Jui Fu; Xinze Wang; Wei Liu; Yinfei Yang; Alex Schwing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: image generation; diffusion model; flow matching
156	Causal Differentiating Concepts: Interpreting LM Behavior via Causal Representation Learning Authors: Navita Goyal; Hal Daumé III; Alexandre Drouin; Dhanya Sridhar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LM interpretability; causal representation learning; concept discovery
157	Characterizing the Expressivity of Fixed-Precision Transformer Language Models Authors: Jiaoda Li; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: transformers; expressivity; formal language; logic; automata
158	Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning Authors: Yinjie Wang; Ling Yang; Ye Tian; Ke Shen; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Code LLM; Reinforcement Learning; Unit Test Generation
159	Color Conditional Generation with Sliced Wasserstein Guidance Authors: Alexander Lobashev; Maria Larchenko; Dmitry Guskov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: color conditional generation; diffusion models; sliced Wasserstein distance; optimal transport
160	Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo Authors: Zachary Charles; Gabriel Teston; Lucio M. Dery; J Keith Rush; Nova Fallen; Zachary Garrett; Arthur Szlam; Arthur Douillard Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: distributed training; communication-efficiency; diloco; parallel training
161	Compositional Neural Network Verification via Assume-Guarantee Reasoning Authors: Hai Duong; David Shriver; ThanhVu Nguyen; Matthew B. Dwyer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: DNN Verification; Compositional Verification; Assume-Guarantee Reasoning
162	Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples Authors: Shiva Sreeram; Alaa Maalouf; Pratyusha Sharma; Daniela Rus Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLMs; adapting language models; efficient search; no fine-tuning
163	ConTextTab: A Semantics-Aware Tabular In-Context Learner Authors: Marco Spinaci; Marek Polewczyk; Maximilian Schambach; Sam Thelin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: tabular learning; semantics; in-context learning; deep learning
164	Conditional Representation Learning for Customized Tasks Authors: Honglin Liu; Chao Sun; Peng Hu; Yunfan Li; Xi Peng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Unsupervised Learning; Representation Learning; Conditional Similarity
165	Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text Authors: Zhange Zhang; Zhicheng Geng; Yuqing Ma; Tianbo Wang; Kai Lv; Xianglong Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Model Editing; Unstructured Text; Conflict-Aware
166	Continuous Thought Machines Authors: Luke Nicholas Darlow; Ciaran Regan; Sebastian Risi; Jeffrey Seely; Llion Jones Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Biologically Inspired Neural Network; Neural Dynamics; Neural Synchronization; Reasoning Model
167	Controlling Thinking Speed in Reasoning Models Authors: Zhengkai Lin; Zhihang Fu; Ze Chen; Chao Chen; Liang Xie; Wenxiao Wang; Deng Cai; Zheng Wang; Jieping Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Interpretability; Reasoning strategy
168	Cost-Aware Contrastive Routing for LLMs Authors: Reza Shirkavand; Shangqian Gao; Peiran Yu; Heng Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Routing; Inference Efficiency; Contrastive Learning; Model fingerprints; Large Language Models
169	Cost-aware LLM-based Online Dataset Annotation Authors: Eray Can Elumar; Cem Tekin; Osman Yagan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language models (LLMs); dataset annotation; optimization
170	Critical Batch Size Revisited: A Simple Empirical Approach to Large-Batch Language Model Training Authors: William Merrill; Shane Arora; Dirk Groeneveld; Hannaneh Hajishirzi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language models; pretraining; critical batch size
171	DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models Authors: Simone Carnemolla; Matteo Pennisi; Sarinda Samarasinghe; Giovanni Bellitto; Simone Palazzo; Daniela Giordano; Mubarak Shah; Concetto Spampinato Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Explainability; Activation Maximization; Diffusion Models; LLM
172	DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks Authors: Canyu Zhao; Yanlong Sun; Mingyu Liu; Huanyi Zheng; Muzhi Zhu; Zhiyue Zhao; Hao Chen; Tong He; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Generative Model; Visual Perception; Multi-task Model
173	DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair Paradigm Authors: Xiaowei Zhu; Yubing Ren; Fang Fang; Qingfeng Tan; Shi Wang; Yanan Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: AI-generated Text Detection
174	DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing Authors: Chenxi Xie; Minghan Li; Shuai Li; Yuhui Wu; Qiaosi Yi; Lei Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: editing; diffusion; rectified flow
175	Data Mixing Can Induce Phase Transitions in Knowledge Acquisition Authors: Xinran Gu; Kaifeng Lyu; Jiazheng Li; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: knowledge acquisition; memorization; scaling laws; LLMs
176	Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models? Authors: Hyeong Kyu Choi; Jerry Zhu; Sharon Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: multi-agent debate; majority voting; LLM; Agentic AI
177	DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning Authors: Wenxuan Shi; Haochen Tan; Chuqiao Kuang; Xiaoguang Li; Hanting Chen; Xiaozhe Ren; Yasheng Wang; Lu Hou; Lifeng Shang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Agentic Reinforcement Learning; Retrieval Augmented Generation; Search Intensity Scaling; Data Synthesis
178	DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling Authors: Yuang Ai; Qihang Fan; Xuefeng Hu; Zhenheng Yang; Ran He; Huaibo Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Image Generation; Diffusion Models; ConvNets
179	Differentiable Hierarchical Visual Tokenization Authors: Marius Aasan; Martine Hjelkrem-Tan; Nico Catalano; Changkyu Choi; Adín Ramírez Rivera Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: ViT; Partitioning; Tokenization; Segmentation; Vectorization; Adaptive; Hierarchical; Model Selection
180	Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization Authors: Chris Kolb; Laetitia Frost; Bernd Bischl; David Rügamer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Structured Sparsity; Overparametrization; Gating
181	Diffusion Generative Modeling on Lie Group Representations Authors: Marco Bertolini; Tuan Le; Djork-Arné Clevert Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: generative modeling; diffusion models; lie groups; representation theory
182	DisMo: Disentangled Motion Representations for Open-World Motion Transfer Authors: Thomas Ressler-Antal; Frank Fundel; Malek Ben Alaya; Stefan Andreas Baumann; Felix Krause; Ming Gui; Björn Ommer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Representation Learning; Motion Analysis; Video Generation; Self-Supervised Learning
183	Distilling LLM Agent into Small Models with Retrieval and Code Tools Authors: Minki Kang; Jongwon Jeong; Seanie Lee; Jaewoong Cho; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: langauge model; language agent; reasoning; distillation
184	Diversity-Aware Policy Optimization for Large Language Model Reasoning Authors: Jian Yao; Ran Cheng; Xingyu Wu; Jibin Wu; KC Tan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; Policy Optimization; Diversity
185	Do-PFN: In-Context Learning for Causal Effect Estimation Authors: Jake Robertson; Arik Reuter; Siyuan Guo; Noah Hollmann; Frank Hutter; Bernhard Schölkopf Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Prior-Data Fitted Networks; Causality; Causal Effect Estimation; CATE Estimation; Amortized Inference; In-Context Learning
186	Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference Authors: Weizhi Fei; Xueyan Niu; XIE GUOQING; Yingqing Liu; Bo Bai; Wei Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language model; attention mechanism; long context inference; prompt compression
187	Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective Authors: Xingjian Wu; Xiangfei Qiu; Hanyin Cheng; Zhengyu Li; Jilin Hu; Chenjuan Guo; Bin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Time Series Forecasting
188	Enhancing Training Data Attribution with Representational Optimization Authors: Weiwei Sun; Haokun Liu; Nikhil Kandpal; Colin Raffel; Yiming Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Training Data Attribution
189	Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles Authors: Jiangjie Chen; Qianyu He; Siyu Yuan; Aili Chen; Zhicheng Cai; Weinan Dai; Hongli Yu; Jiaze Chen; Xuefeng Li; Qiying Yu; Hao Zhou; Mingxuan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Reasoning Model; Large Language Model; Reinforcement Learning; Logical Reasoning
190	EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment Authors: Naga Sai Abhiram kusumba; Maitreya Patel; Kyle Min; Changhoon Kim; Chitta Baral; Yezhou Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Safe generation; Text-to-image generation; Flow models; GFlowNets
191	Extrapolation by Association: Length Generalization Transfer In Transformers Authors: Ziyang Cai; Nayoung Lee; Avi Schwarzschild; Samet Oymak; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Language models; LLM; Transformers; Length Generalization; Transfer
192	FFN Fusion: Rethinking Sequential Computation in Large Language Models Authors: Akhiad Bercovich; Mohammed Dabbah; Omri Puny; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Ehud Dov Karpas; Itay Levy; Zach Moshe; Najeeb Nabwani; Tomer Ronen; Itamar S… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; Architecture optimization; Inference efficiency
193	FP4 All the Way: Fully Quantized Training of Large Language Models Authors: Brian Chmiel; Maxim Fishman; Ron Banner; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Quantization; Low precision; Training; FP4; Accelerations; Compression
194	FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion Authors: Akide Liu; Zeyu Zhang; Zhexin Li; Xuehai Bai; Yuanjie Xing; Yizeng Han; Jiasheng Tang; Jichao Wu; Mingyang Yang; Weihua Chen; Jiahao He; Yuanyu He; Fan Wang; Gholamreza Haffari; B… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Video Generative Model; Efficiency; Quantization; Sparsity
195	FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities Authors: Jin Wang; Yao Lai; Aoxue Li; Shifeng Zhang; Jiacheng Sun; Ning Kang; Chengyue Wu; Zhenguo Li; Ping Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multimodal Large Language Models (MLLMs); Discrete Flow Matching
196	Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning Authors: Yeongbin Seo; Dongha Lee; Jaehyung Kim; Jinyoung Yeo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: diffusion LLM; large language models; decoding; semi-autoregressive; non-autoregressive decoding
197	Fixed-Point RNNs: Interpolating from Diagonal to Dense Authors: Sajad Movahedi; Felix Sarnthein; Nicola Muca Cirone; Antonio Orvieto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Deep Learning; Sequence Architecture; Recurrent Neural Network; State Space Model; Linear RNN; SSM; Mamba; Linear Attention; RWKV; DeltaNet; DeltaProduct; Loop…
198	FlexOLMo: Open Language Models for Flexible Data Use Authors: Weijia Shi; Akshita Bhagia; Kevin Farhat; Niklas Muennighoff; Jacob Morrison; Evan Pete Walsh; Dustin Schwenk; Shayne Longpre; Jake Poznanski; Allyson Ettinger; Daogao Liu; Margar… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Language Model
199	Flow Equivariant Recurrent Neural Networks Authors: T. Anderson Keller Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Equivariance; Recurrence; Sequence Model; Flow; Motion
200	Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models Authors: Lvmin Zhang; Shengqu Cai; Muyang Li; Gordon Wetzstein; Maneesh Agrawala Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: video diffusion models; autoregressive video models
201	FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Authors: Shuang Zeng; Xinyuan Chang; Mengwei Xie; Xinran Liu; Yifan Bai; Zheng Pan; Mu Xu; Xing Wei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Autonomous driving; Visual language action models; Chain of thought; Autoregressive image generation; Visual reasoning; Unified generation understanding
202	G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Authors: Guibin Zhang; Muxin Fu; Kun Wang; Guancheng Wan; Miao Yu; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multi-agent systems; agent memory; LLM agent
203	Generalizable Insights for Graph Transformers in Theory and Practice Authors: Timo Stoll; Luis Müller; Christopher Morris Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: graph transformers; expressivity; structural encodings; structural embeddings; positional encodings
204	Generalizable Reasoning through Compositional Energy Minimization Authors: Alexandru Oarga; Yilun Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Reasoning Generalization; Compositional Inference; Test-Time Computation; Test-Time Inference; Combinatorical Optimization
205	GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution Authors: Fengxiang Wang; Mingshuo Chen; Yueying Li; Di Wang; Haotian Wang; Zonghao Guo; Zefan Wang; Shan Boqi; Long Lan; Yulin Wang; Hongzhen Wang; Wenjing Yang; Bo Du; Jing Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Remote Sensing; MLLM; Vision-language Dataset; Ultra-High-Resolution
206	GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning Authors: Yeonjoon Jung; Daehyun Ahn; Hyungjun Kim; Taesu Kim; Eunhyeok Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LoRA; Parameter-efficient fine-tuning; LLM; Adapation
207	Gradient Variance Reveals Failure Modes in Flow-Based Generative Models Authors: Teodora Reu; Sixtine Dromigny; Michael M. Bronstein; Francisco Vargas Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: CFM; Rectified Flows; Generative AI
208	GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Authors: Enjun Du; Xunkai Li; Tian Jin; Zhihan Zhang; Rong-Hua Li; Guoren Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Graph data synthesis; text-attributed graphs; multi-agent framework; large language models; retrieval-augmented generation; data-limited environments
209	HBLLM: Wavelet-Enhanced High-Fidelity 1-Bit Quantization for LLMs Authors: Ningning CHEN; Weicai Ye; Ying Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: 1-Bit Quantization；Haar-based
210	HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models Authors: Yu Zhou; Xingyu Wu; Jibin Wu; Liang Feng; KC Tan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large language model; model merging; multi-objective optimization; architecture-level merging
211	Head Pursuit: Probing Attention Specialization in Multimodal Transformers Authors: Lorenzo Basile; Valentino Maiorca; Diego Doimo; Francesco Locatello; Alberto Cazzaniga Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: attention heads; matching pursuit; interpretability; vision-language models
212	Hogwild! Inference: Parallel LLM Generation via Concurrent Attention Authors: Gleb Rodionov; Roman Garipov; Alina Shutova; George Yakushev; Erik Schultheis; Vage Egiazarian; Anton Sinitsin; Denis Kuznedelev; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; reasoning; parallel generation
213	How do Transformers Learn Implicit Reasoning? Authors: Jiaran Ye; Zijun Yao; Zhidian Huang; Liangming Pan; Jinxin Liu; Yushi Bai; Amy Xin; Liu Weichuan; Xiaoyin Che; Lei Hou; Juanzi Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Implicit Reasoning; Multi-hop Inference; Transformer Models; Interpretability
214	How many measurements are enough? Bayesian recovery in inverse problems with general distributions Authors: Ben Adcock; Nick Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: inverse problems; Bayesian recovery; generative priors; posterior sampling; compressed sensing
215	Hyperbolic Fine-Tuning for Large Language Models Authors: Menglin Yang; Ram Samarth B B; Aosong Feng; Bo Xiong; Jiahong Liu; Irwin King; Rex Ying Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Hyperbolic Space; Low-Rank Adaptation; Embedding Space
216	Improving Bilinear RNN with Closed-loop Control Authors: Jiaxi Hu; Yongqi Pan; Jusen Du; Disen Lan; Xiaqiang Tang; Qingsong Wen; Yuxuan Liang; Weigao Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Sequence Modeling
217	Improving LLM General Preference Alignment via Optimistic Online Mirror Descent Authors: Yuheng Zhang; Dian Yu; Tao Ge; Linfeng Song; Zhichen Zeng; Haitao Mi; Nan Jiang; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Alignment; RLHF
218	Incremental Sequence Classification with Temporal Consistency Authors: Lucas Maystre; Gabriel Barello; Tudor Berariu; Aleix Cambray; Rares Dolga; Alvaro Ortega Gonzalez; Andrei Cristian Nica; David Barber Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: sequence classification; temporal-difference learning
219	InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Authors: Yanggan Gu; Yuanyi Wang; Zhaoyi Yan; Yiming Zhang; Qi Zhou; Fei Wu; Hongxia Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Model Fusion; Preference Optimization; LLMs
220	Integration Matters for Learning PDEs with Backward SDEs Authors: Sungje Park; Stephen Tu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Backward Stochastic Differential Equations; Partial Differential Equations; Deep Learning; Scientific Machine Learning
221	Is Noise Conditioning Necessary? A Unified Theory of Unconditional Graph Diffusion Models Authors: Jipeng Li; Yanning Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Graph Diffusion Models; Unconditional Graph Diffusion; Noise Conditioning
222	JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation Authors: Kai Liu; Jungang Li; Yuchong Sun; Shengqiong Wu; jianzhang gao; Daoan Zhang; Wei Zhang; Sheng Jin; Sicheng Yu; Geng Zhan; Jiayi Ji; Fan Zhou; Liang Zheng; Shuicheng YAN; Hao Fei;… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multi-Modality; Large Language Model; Souding-Video Comprehension and Generation
223	Joint‑Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self‑Supervised Learning Authors: Hugues Van Assel; Mark Ibrahim; Tommaso Biancalani; Aviv Regev; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Self-Supervised Learning; Representation Learning
224	KLASS: KL-Guided Fast Inference in Masked Diffusion Models Authors: Seo Hyun Kim; Sunwoo Hong; Hojung Jung; Youngrok Park; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Generative Models; Efficient Inference Methods
225	KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation Authors: Jiajun Shi; Jian Yang; Jiaheng Liu; Xingyuan Bu; Jiangjie Chen; Junting Zhou; Kaijing Ma; Zhoufutu Wen; Bingli Wang; Yancheng He; Liang Song; Hualei Zhu; Shilong Li; Xingjian Wang… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; Evaluation; RL; Game
226	Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better Authors: Danny Driess; Jost Tobias Springenberg; brian ichter; LILI YU; Adrian Li-Bell; Karl Pertsch; Allen Z. Ren; Homer Walke; Quan Vuong; Lucy Xiaoyang Shi; Sergey Levine Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: vision-language-action models; robotic manipulation; robot learning
227	L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias Authors: jingxiao zhang; Shifei Ding; Jian Zhang; Lili Guo; Xuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Missing Data; few-Label Learning; graph convolutional networks (GCNs); graph representation learning
228	LaViDa: A Large Diffusion Language Model for Multimodal Understanding Authors: Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: multi-modality; vision-language models; large language models; diffusion language models
229	LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation Authors: Huanlin Gao; Ping Chen; Fuyuan Shi; Chao Tan; Zhaoxiang Liu; Fang Zhao; Kai Wang; Shiguo Lian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Video Generation; Model Acceleration; Caching Mechanism; Training-Free
230	Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing Authors: Manchao Bao; Shengjiang Fang; Tao Yue; Xuemei Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Time-of-Flight; End-to-End Learning
231	Learnable Sampler Distillation for Discrete Diffusion Models Authors: Feiyang Fu; Tongxian Guo; Zhaoqiang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Discrete diffusion models; Efficient sampling; Sampler distillation
232	Learning Robust Vision-Language Models from Natural Latent Spaces Authors: Zhangyun Wang; Ni Ding; Aniket Mahanti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Adversarial Robustness; Prompt Learning; Vision-Language Models
233	Less is More: Improving LLM Alignment via Preference Data Selection Authors: Xun Deng; Han Zhong; Rui Ai; Fuli Feng; Zheng Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: data selection; DPO; alignment
234	Locality in Image Diffusion Models Emerges from Data Statistics Authors: Artem Lukoianov; Chenyang Yuan; Justin Solomon; Vincent Sitzmann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion models; generative models; ideal denoiser
235	LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data Authors: Zehao Wang; Lin Yang; Jie Wang; Kehan Wang; Hanzhu Chen; Bin Wang; Jianye HAO; Defu Lian; Bin Li; Enhong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language model; logical reasoning; data synthesis
236	Lost in Transmission: When and Why LLMs Fail to Reason Globally Authors: Tobias Schnabel; Kiran Tomlinson; Adith Swaminathan; Jennifer Neville Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM limitations; chain of thought; reasoning; communication complexity
237	MAESTRO : Adaptive Sparse Attention and Robust Learning for Multimodal Dynamic Time Series Authors: Payal Mohapatra; Yueyuan Sui; Akash Pandey; Stephen Xia; Qi Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multimodal Time series; Sparse Attention
238	Measuring and Guiding Monosemanticity Authors: Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Stephan Waeldchen; Patrick Schramowski; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Interpretability; Monosemanticity; Sparse Autoencoder; LLM; Alignment
239	Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation Authors: Abdelrahman Eldesokey; Aleksandar Cvejić; Bernard Ghanem; Peter Wonka Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion Models; Text-to-Image Generation; Semantic Correspondence; Subject-driven Generation; Personalized Generation; In-Context Generation
240	MoBA: Mixture of Block Attention for Long-Context LLMs Authors: Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; Suting Xu; Xinran Xu; Guokun Lai; Ya… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM; Sparse Attention; Long Context
241	MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE Authors: Zongle Huang; Lei Zhu; ZongYuan Zhan; Ting Hu; Weikai Mao; Xianzhi Yu; Yongpan Liu; Tianyu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Speculative decoding; MoE; Inference; Acceleration
242	ModHiFi: Identifying High Fidelity predictive components for Model Modification Authors: Dhruva Kashyap; Chaitanya Murti; Pranav K Nayak; Tanay Narshana; Chiranjib Bhattacharyya Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Pruning; Machine Unlearning
243	MonarchAttention: Zero-Shot Conversion to Fast, Hardware-Aware Structured Attention Authors: Can Yaras; Alec S Xu; Pierre Abillama; Changwoo Lee; Laura Balzano Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: structured matrices; efficient attention; monarch
244	Multitask Learning with Stochastic Interpolants Authors: Hugo Negrel; Florentin Coeurdoux; Michael Samuel Albergo; Eric Vanden-Eijnden Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: generative models; flows; diffusions; conditional generation; pinpointing; fine-tuning; multiscale generation; zero-shot; multitask
245	Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation Authors: Xinyu Yang; Yuwei An; Hongyi Liu; Tianqi Chen; Beidi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Generative Modeling; Model Architecture; Parallel Generation; LLM Reasoning
246	Neighbor-aware Contrastive Disambiguation for Cross-Modal Hashing with Redundant Annotations Authors: Chao Su; Likang Peng; Yuan Sun; Dezhong Peng; Xi Peng; Xu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multimodal Learning; Cross-Modal Retrieval
247	Neptune-X: Active X-to-Maritime Generation for Universal Maritime Object Detection Authors: Yu Guo; Shengfeng He; Yuxu Lu; Haonan An; Yihang Tao; Huilin Zhu; Jingxian Liu; Yuguang Fang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Image Generation; Object Detection; Computer Vision
248	Neural Atlas Graphs for Dynamic Scene Decomposition and Editing Authors: Jan Philipp Schneider; Pratik Singh Bisht; Ilya Chugunov; Andreas Kolb; Michael Moeller; Felix Heide Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Scene Decomposition; Inverse Rendering; Neural Implicit Representations; Scene Reconstruction; Video Editing; Video Matting
249	Neural Entropy Authors: Akhil Premkumar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion models; thermodynamics; information theory; statistical mechanics
250	NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data Authors: Azadeh Motamedi; Jae-Mo Kang; Il-Min Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Federated Learning; Vision-Language Models; Few-Shot Fine-Tuning; Data Heterogeneity; Communication and Computation Cost
251	On Universality Classes of Equivariant Networks Authors: Marco Pacini; Gabriele Santin; Bruno Lepri; Shubhendu Trivedi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Geometric Deep Learning; Theory for Equivariant Neural Networks; Expressiveness; Approximation Theory
252	On the Surprising Effectiveness of Large Learning Rates under Standard Width Scaling Authors: Moritz Haas; Sebastian Bordt; Ulrike von Luxburg; Leena Chennuru Vankadara Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Width Scaling; Feature Learning; Large Learning Rates; Maximal Update Parameterization; Standard Parameterization; Initialization; Scaling Theory; Tensor Progr…
253	OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects Authors: Mark He Huang; Lin Geng Foo; Christian Theobalt; Ying Sun; De Wen Soh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: pose-free; online reconstruction; object understanding; 3D reconstruction
254	OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts Authors: Shiting Xiao; Rishabh Kabra; Yuhang Li; Donghyun Lee; Joao Carreira; Priyadarshini Panda Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Image segmentation; Segment anything model; Vision-language model
255	Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff Authors: Eric Lei; Hamed Hassani; Shirin Saeedi Bidokhti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: neural compression; rate-distortion-perception; lattice quantization; dithering
256	Optimization Inspired Few-Shot Adaptation for Large Language Models Authors: Boyan Gao; Xin Wang; Yibo Yang; David A. Clifton Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Opitmizer learning; Few-shot adaptation
257	PhysX-3D: Physical-Grounded 3D Asset Generation Authors: Ziang Cao; Zhaoxi Chen; Liang Pan; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: 3D generation; Physical 3D assets
258	Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection Authors: Shuhai Zhang; ZiHao Lian; Jiahao Yang; Daiyuan Li; Guoxuan Pang; Feng Liu; Bo Han; Shutao Li; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: AI-Generated Video Detection; Diffusion Models; Maximum Mean Discrepancy
259	Polyline Path Masked Attention for Vision Transformer Authors: Zhongchen Zhao; Chaodong Xiao; Hui LIN; Qi Xie; Lei Zhang; Deyu Meng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Mamba2; Vision Transformer; Polyline Path Masked Attention
260	Predictable Scale (Part II) — Farseer: A Refined Scaling Law in LLMs Authors: Houyi Li; Wenzhen Zheng; Qiufeng Wang; Zhenyu Ding; Haoying Wang; Zili Wang; Shijie Xuyang; Ning Ding; Shuigeng Zhou; Xiangyu Zhang; Daxin Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Model; Scaling Law
261	Principled Data Augmentation for Learning to Solve Quadratic Programming Problems Authors: Chendi Qian; Christopher Morris Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: GNNs; linear programming; data augmentation
262	Projective Equivariant Networks via Second-order Fundamental Differential Invariants Authors: Yikang Li; Yeqing Qiu; Yuxuan Chen; Lingshen He; Lexiang Hu; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: equivariant networks; differential invariants; projective group
263	Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner Authors: Runa Eschenhagen; Aaron Defazio; Tsung-Hsien Lee; Richard E. Turner; Hao-Jun Michael Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: neural network training algorithms; optimization; Shampoo; Kronecker-factored; preconditioner; grafting; approximation; adaptive gradient methods; stochastic o…
264	QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Authors: Wanlong Liu; Junxiao Xu; Fei Yu; Yukang Lin; Ke Ji; Wenyu Chen; Lifeng Shang; Yasheng Wang; Yan Xu; Benyou Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large language models; Efficient Reasoning; Large reasoning model; Math reasoning
265	QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models Authors: Yutong Wang; Haiyu Wang; Sai Qian Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Vision language model; singular value decomposition; quantization
266	ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection Authors: Haowei Zhu; Tianxiang Pan; Rui Qin; Jun-Hai Yong; Bin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: diffusion model; object detection; data augmentation
267	Reasoning Planning for Language Models Authors: Bao Nguyen; Hieu Trung Nguyen; Ruifeng She; Xiaojin Fu; Viet Anh Nguyen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: reasoning method selection; two-tower framework; accuracy-cost trade-off; inference time scaling
268	RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation Authors: Boyuan Cao; Jiaxin Ye; Yujie Wei; Hongming Shan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Diffusion Model; High-Resolution Image; Attention Guidance; progressive pixel space upsampling
269	Restoring Pruned Large Language Models via Lost Component Compensation Authors: Zijian Feng; Hanzhang Zhou; Zixiao Zhu; Tianjiao Li; Chua Jia Jim Deryl; Mak Lee Onn; Gee Wah Ng; Kezhi Mao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language models; pruning; performance restoration
270	Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks Authors: Ali Hariri; Alvaro Arroyo; Alessio Gravina; Moshe Eliasof; Carola-Bibiane Schönlieb; Davide Bacciu; Xiaowen Dong; Kamyar Azizzadenesheli; Pierre Vandergheynst Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Spectral Graph Neural Networks
271	Revisiting Generative Infrared and Visible Image Fusion Based on Human Cognitive Laws Authors: Lin Guo; Xiaoqing Luo; Wei Xie; Zhancheng Zhang; Hui Li; Rui Wang; Zhenhua Feng; Xiaoning Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Human cognitive law; Information bottleneck; Diffusion model; Infrared and visible image fusion; Physical law
272	RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models Authors: Junda Zhu; Jun Ai; Yujun Li; Yichun Yin; Yasheng Wang; Lifeng Shang; Qun Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Parameter-Efficient Fine-Tuning; Large Language Model; Low-Rank Adaptation
273	Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization Authors: Qingyang Zhang; Haitao Wu; Changqing Zhang; Peilin Zhao; Yatao Bian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Reasoning; Reinforcement Learning; Unsupervised Learning
274	RoboScape: Physics-informed Embodied World Model Authors: Yu Shang; Xin Zhang; Yinzhou Tang; Lei Jin; Chen Gao; Wei Wu; Yong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Embodied World model; Physics Priors; Video Generation
275	Robust Graph Condensation via Classification Complexity Mitigation Authors: Jiayi Luo; Qingyun Sun; Beining Yang; Haonan Yuan; Xingcheng Fu; Yanbiao Ma; Jianxin Li; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Graph Dataset Condensation; Robust Graph Learning
276	SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation Authors: Claudia Cuttano; Gabriele Trivigno; Giuseppe Averta; Carlo Masone Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Few shot segmentation; Segment Anything; Promptable Segmentation
277	SATURN: SAT-based Reinforcement Learning to Unleash LLMs Reasoning Authors: Huanyu Liu; Ge Li; Jia Li; Hao Zhu; Kechi Zhang; Yihong Dong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; LLMs Reasoning; Reinforcement Learning; Curriculum Learning
278	SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification Authors: Hsi-Ling Chen; Chun-Shien Lu; Pau-Choo Chung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Transfer Learning; Domain Adaptation; Generative Models
279	SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation Authors: Enzhi Zhang; Peng Chen; Rui Zhong; Du Wu; Jun Igarashi; Isaac Lyngaas; Xiao Wang; Masaharu Munetomo; Mohamed Wahib Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Hierarchical Forest; High-resolution; Long-sequence; Transformer; 3D Imaging; Segmentation
280	SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving Authors: Haiming Zhang; Yiyao Zhu; Wending Zhou; Xu Yan; Yingjie CAI; Bingbing Liu; Shuguang Cui; Zhen Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Autonomous Driving; Pre-training; 3D Gaussian Splatting; Query-based Perception
281	STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Authors: Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang ZHANG; Laurent Dinh; Miguel Ángel Bautista; Joshua M. Susskind; Shuangfei Zhai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Normalizing Flows; Autoregressive Models; Latent Autoregressive Flows; Scalable Image Generation
282	Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding Authors: Yiming Wang; Pei Zhang; Siyuan Huang; Baosong Yang; Zhuosheng Zhang; Fei Huang; Rui Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Models; Test-Time Scaling; Best-of-N Sampling; Efficient Decoding; Self-Estimation
283	Scaling can lead to compositional generalization Authors: Florian Redhardt; Yassir Akram; Simon Schug Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: compositionality; compositional generalization; scale; systematicity; generalization
284	Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Authors: Jonas Geiping; Sean Michael McLeish; Neel Jain; John Kirchenbauer; Siddharth Singh; Brian R. Bartoldson; Bhavya Kailkhura; Abhinav Bhatele; Tom Goldstein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: test-time scaling; large language models; recurrence; reasoning; depth; universal transformers
285	Searching Latent Program Spaces Authors: Matthew Macfarlane; Clément Bonnet Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Test-Time Compute; Latent Search; Deep Learning; Meta-Learning
286	Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion Authors: Xun Huang; Zhengqi Li; Guande He; Mingyuan Zhou; Eli Shechtman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Video generation; Autoregressive models; Diffusion models; World models
287	Shallow Diffuse: Robust and Invisible Watermarking through Low-Dim Subspaces in Diffusion Models Authors: Wenda Li; Huijie Zhang; Qing Qu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: diffusion Model; watermark; low-dimensional subspace; consistency; robustness
288	Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More Authors: Jinwoo Lim; Suhyun Kim; Soo-Mook Moon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: shortcut learning; neural tangent kernel
289	SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference Authors: Yi Zhao; Yajuan Peng; Nguyen Cam-Tu; Zuchao Li; Wang Xiaoliang; hai zhao; Xiaoming Fu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: KV Cache Compression; Efficient LLM Inference
290	SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation Authors: Zekun Qi; Wenyao Zhang; Yufei Ding; Runpei Dong; XinQiang Yu; Jingwen Li; Lingyun Xu; Baoyu Li; Xialin He; Guofan Fan; Jiazhao Zhang; Jiawei He; Jiayuan Gu; Xin Jin; Kaisheng Ma;… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Spatial Reasoning; Object Orientation; Robotic Manipulation
291	Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation Authors: Shuo Yang; Haocheng Xi; Yilong Zhao; Muyang Li; Jintao Zhang; Han Cai; Yujun Lin; Xiuyu Li; Chenfeng Xu; Kelly Peng; Jianfei Chen; Song Han; Kurt Keutzer; Ion Stoica Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: video diffusion; attention acceleration
292	SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering Authors: Ruimeng Liu; Xin Zou; Chang Tang; Xiao Zheng; Xingchen Hu; Kun Sun; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Muti-view clustering; self-supervised learning; representation learning; autoencoder
293	Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence Authors: Diankun Wu; Fangfu Liu; Yi-Hsin Hung; Yueqi Duan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Spatial intelligence; Multimodal large language model; 3D Understanding
294	Spectral Graph Neural Networks are Incomplete on Graphs with a Simple Spectrum Authors: Snir Hordan; Maya Bechler-Speicher; Gur Lifshitz; Nadav Dym Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: spectral invariants; graph spectra; simple spectrum; expressiveness; expressivity; GNN; Spectral GNN
295	Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon Authors: Tongtong Liang; Dan Qiao; Yu-Xiang Wang; Rahul Parhi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Generalization bound; minima stability; gradient descent; large learning rate; ReLU neural network; minimax rate
296	StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold Authors: Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Lingjuan Lyu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LoRA; Stiefel Manifold; Geometric Optimization
297	StreamForest: Efficient Online Video Understanding with Persistent Event Memory Authors: Xiangyu Zeng; Kefan Qiu; Qingyu Zhang; Xinhao Li; Jing Wang; Jiaxin Li; Ziang Yan; Kun Tian; Meng Tian; Xinhai Zhao; Yi Wang; Limin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: MLLM; Video Understanding
298	Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models Authors: Benjamin Walker; Lingyi Yang; Nicola Muca Cirone; Cristopher Salvi; Terry Lyons Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Sequencing Modelling; Theoretical Deep Learning; Mathematical Foundations; Neural Controlled Differential Equations; State Tracking; Model Architecture; Contin…
299	Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models Authors: Aleksandar Terzic; Nicolas Menet; Michael Hersche; Thomas Hofmann; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: State-Space Models; Expressiveness; Efficiency; Matrix Parametrisation; State-Tracking; Finite-State Automata
300	SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications Authors: Gabriele Oliaro; Zhihao Jia; Daniel F Campos; Aurick Qiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: speculative decoding; LLM agents; model-free speculation; SWE-Bench; LLM inference
301	Tensor Product Attention Is All You Need Authors: Yifan Zhang; Yifeng Liu; Huizhuo Yuan; Zhen Qin; Yang Yuan; Quanquan Gu; Andrew C Yao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Attention mechanisms; Transformer
302	The Best Instruction-Tuning Data are Those That Fit Authors: Dylan Zhang; Qirun Dai; Hao Peng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Instruction Tuning; Data Selection; Efficiency; Post-Training
303	The Computational Advantage of Depth in Learning High-Dimensional Hierarchical Targets Authors: Yatin Dandi; Luca Pesce; Lenka Zdeborova; Florent Krzakala Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: feature learning; sample-complexity; depth; multi-layer
304	The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization Authors: Yihua Zhang; Changsheng Wang; Yiwei Chen; Chongyu Fan; Jinghan Jia; Sijia Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LLM Input Saliency
305	The Primacy of Magnitude in Low-Rank Adaptation Authors: Zicheng Zhang; Haoran Li; Yifeng Zhang; Guoqiang Gong; Jiaxing Wang; Junxing Hu; pengzhang liu; Qixia Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: LoRA; Low-Rank Adaptation; Deep Learning; Large Pre-trained Models
306	The Structure of Relation Decoding Linear Operators in Large Language Models Authors: Miranda Anna Christ; Adrián Csiszárik; Gergely Becsó; Dániel Varga Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: large language models; relations; tensor networks; interpretability
307	Theory-Driven Label-Specific Representation for Incomplete Multi-View Multi-Label Learning Authors: Quanjiang Li; Tianxiang Xu; Tingjin Luo; Yan Zhong; Yang Li; Yiyun Zhou; Chenping Hou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multi-View Multi-Label Learning
308	Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens Authors: Xixian Yong; Xiao Zhou; Yingying Zhang; Jinlin Li; Yefeng Zheng; Xian Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: efficient reasoning
309	Thought Communication in Multiagent Collaboration Authors: Yujia Zheng; Zhuokai Zhao; Zijian Li; Yaqi Xie; Mingze Gao; Lizhu Zhang; Kun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: multiagent system; inter-agent communication; latent variable models; foundation models
310	Thoughts Are All Over the Place: On the Underthinking of Long Reasoning Models Authors: Yue Wang; Qiuzhi Liu; Jiahao Xu; Tian Liang; Xingyu Chen; Zhiwei He; Linfeng Song; Dian Yu; Juntao Li; Zhuosheng Zhang; Rui Wang; Zhaopeng Tu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Reasoning; Long COT; o1
311	Towards Interpretable and Efficient Attention: Compressing All by Contracting a Few Authors: Qishuai Wen; Zhiyuan Huang; Chun-Guang Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Attention Mechanisms; Interpretability; Efficiency
312	Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Authors: Junyu Zhang; Lizhong Ding; MinghongZhang; Ye Yuan; Xingcan Li; Pengqi Li; Tihang Xi; Guoren Wang; Changsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multi-table learning; Complementary information
313	Towards Physics-informed Spatial Intelligence with Human Priors: An Autonomous Driving Pilot Study Authors: Guanlin Wu; Boyan Su; Yang Zhao; Pu Wang; Yichen Lin; Hao Frank Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Multimodal LLM; VLM; Spatial Intelligence; Autonomous Driving
314	Towards Understanding the Mechanisms of Classifier-Free Guidance Authors: Xiang Li; Rongrong Wang; Qing Qu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: diffusion model; classifier free guidance; mechanism interpretation
315	Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations Authors: Kaibo Wang; Jianda Mao; Tong Wu; Yang Xiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Classifier-free guidance; Diffusion models; Fixed point iteration
316	Training-Free Constrained Generation With Stable Diffusion Models Authors: Stefano Zampini; Jacob K Christopher; Luca Oneto; Davide Anguita; Ferdinando Fioretto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Stable Diffusion; Constrained Generation; Differentiable Optimization
317	TransMLA: Migrating GQA Models to MLA with Full DeepSeek Compatibility and Speedup Authors: Fanxu Meng; Pingzhi Tang; Zengwei Yao; Xing Sun; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Deepseek; MLA; RoPE; PCA; LLaMA; Qwen; GQA; MHA
318	Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning Authors: Jiaru Zou; Yikun Ban; Zihao Li; Yunzhe Qi; Ruizhong Qiu; Ling Yang; Jingrui He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Supervised Fine-tuning; Auxiliary Learning Framework; LLMs
319	Transformers for Mixed-type Event Sequences Authors: Felix Draxler; Yang Meng; Kai Nelson; Lukas Laskowski; Yibo Yang; Theofanis Karaletsos; Stephan Mandt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: marked temporal point processes; generative modeling; autoregressive models; transformers; time series
320	Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning Authors: Chaofan Lin; Jiaming Tang; Shuo Yang; Hanshuo Wang; Tian Tang; Boyu Tian; Ion Stoica; Song Han; Mingyu Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large Language Model; Sparse Attention; Decode; KV Cache
321	Two Heads are Better than One: Simulating Large Transformers with Small Ones Authors: Hantao Yu; Josh Alman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Transformers; theory; representational strength
322	UMoE: Unifying Attention and FFN with Shared Experts Authors: Yuanhang Yang; Chaozheng Wang; Jing Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Mixture-of-Experts; MoE; attention
323	URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model Authors: Zhe Li; Xiang Bai; Jieyu Zhang; Zhuangzhe Wu; Che Xu; Ying Li; Chengkai Hou; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: articulated objects; 3D multimodal language models
324	Unbiased Prototype Consistency Learning for Multi-Modal and Multi-Task Object Re-Identification Authors: Zhongao Zhou; Bin Yang; Wenke Huang; Jun Chen; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Object Re-identification; Mulit-modal; Cross-modal
325	Uni-LoRA: One Vector is All You Need Authors: Kaiyang Li; Shaobo Han; Qing Su; Wei Li; Zhipeng Cai; Shihao Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Extreme parameter-efficient fine-tuning; unified framework; intrinsic dimension
326	Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression Recognition Authors: Yu Li; Jin Jiang; Jianhua Zhu; Shuai Peng; Baole Wei; Yuxuan Zhou; Liangcai Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Handwritten Mathematical Expression Recognition; Vision-Language Models; Tree-of-Thought Reasoning; Multi-Task Learning; Optical Character Recognition
327	UniTok: a Unified Tokenizer for Visual Generation and Understanding Authors: Chuofan Ma; Yi Jiang; Junfeng Wu; Jihan Yang; Xin Yu; Zehuan Yuan; BINGYUE PENG; XIAOJUAN QI Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Visual Tokenizer; Multimodal Generation and Understanding
328	Unleashing Hour-Scale Video Training for Long Video-Language Understanding Authors: Jingyang Lin; Jialian Wu; Ximeng Sun; Ze Wang; Jiang Liu; Yusheng Su; Xiaodong Yu; Hao Chen; Jiebo Luo; Zicheng Liu; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Long Video-Language Understanding; Synthetic Video Instruction-following Dataset; Efficient Video-Language Modeling
329	VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Authors: Haozhe Wang; Chao Qu; Zuming Huang; Wei Chu; Fangzhen Lin; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Vision-Language Models; Reasoning; Reinforcement Learning
330	VPO: Reasoning Preferences Optimization Based on $\mathcal{V}$-Usable Information Authors: Zecheng Wang; Chunshan Li; Yupeng Zhang; Han Liu; Bingning Wang; Dianhui Chu; Dianbo Sui Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Preference Optimization; Reasoning; V-Usable Information
331	Variational Learning Finds Flatter Solutions at the Edge of Stability Authors: Avrajit Ghosh; Bai Cong; Rio Yokota; Saiprasad Ravishankar; Rongrong Wang; Molei Tao; Mohammad Emtiyaz Khan; Thomas Möllenhoff Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: variational learning; noise injection; edge of stability; generalization; deep neural networks; bayesian deep learning
332	Vision Transformers Don't Need Trained Registers Authors: Nicholas Jiang; Amil Dravid; Alexei A Efros; Yossi Gandelsman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: interpretability; Vision Transformer; neurons; attention sink; CLIP; DINO
333	Vision Transformers with Self-Distilled Registers Authors: Zipeng Yan; Yinjie Chen; Chong Zhou; Bo Dai; Andrew Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Vision Transformers; Dense Features; Self Distillation
334	Vision-centric Token Compression in Large Language Model Authors: Ling Xing; Alex Jinpeng Wang; Rui Yan; Xiangbo Shu; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Token Compression; Long Context LLMs; Large Language Model; Visual-Text; Vision-centric
335	WISA: World simulator assistant for physics-aware text-to-video generation Authors: Jing Wang; Ao Ma; Ke Cao; Jun Zheng; Jiasong Feng; Zhanjie Zhang; Wanyuan Pang; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Video Generation; Diffusion Model; Video Dataset
336	What Makes a Reward Model a Good Teacher? An Optimization Perspective Authors: Noam Razin; Zixuan Wang; Hubert Strauss; Stanley Wei; Jason D. Lee; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Language Models; Reinforcement Learning from Human Feedback; Reward Model; Policy Gradient
337	What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains Authors: Chanakya Ekbote; Ashok Vardhan Makkuva; Marco Bondaschi; Nived Rajaraman; Michael Gastpar; Jason D. Lee; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: transformers; interpretability
338	What are you sinking? A geometric approach on attention sink Authors: Valeria Ruscio; Umberto Nanni; Fabrizio Silvestri Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Attention sink; Transformer geometry; Position encoding; Self-attention
339	When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs Authors: Xiaomin Li; Zhou Yu; Zhiwei Zhang; Xupeng Chen; Ziji Zhang; Yingying Zhuang; Narayanan Sadagopan; Anurag Beniwal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Large language models; Reasoning; Instruction Following; Chain of Thoughts
340	When Worse is Better: Navigating the Compression Generation Trade-off In Visual Tokenization Authors: Vivek Ramanujan; Kushal Tirumala; Armen Aghajanyan; Luke Zettlemoyer; Ali Farhadi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Representation Learning; Scaling Laws; Image Generation
341	Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search Authors: Yuichi Inoue; Kou Misaki; Yuki Imajuku; So Kuroki; Taishi Nakamura; Takuya Akiba Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: inference-time compute; tree search; LLMs; programming; reasoning
342	Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs Authors: Hao Kang; Qingru Zhang; Han Cai; Weiyuan Xu; Tushar Krishna; Yilun Du; Tsachy Weissman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Machine Learning; Gaming; Model Compression; LLM Agents
343	ZeroS: Zero‑Sum Linear Attention for Efficient Transformers Authors: Jiecheng Lu; Xu Han; Yan Sun; Viresh Pati; Yubin Kim; Siddhartha Somani; Shihao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Attention Mechanisms; Transformer; Sequence Modeling
344	d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning Authors: Siyan Zhao; Devaansh Gupta; Qinqing Zheng; Aditya Grover Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: diffusion language models; post-training; reinforcement learning; reasoning; large language models
345	Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations Authors: Brian Siyuan Zheng; Alisa Liu; Orevaoghene Ahia; Jonathan Hayase; Yejin Choi; Noah A. Smith Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: tokenization; language models; robustness
346	Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation Authors: Xiang Li; Zirui Wang; Zixuan Huang; James Matthew Rehg Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: Image-to-3D; Generative Models; Analysis
347	MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference Authors: Haibo Tong; Zhaoyang Wang; Zhaorun Chen; Haonian Ji; Shi Qiu; Siwei Han; Kexin Geng; Zhongkai Xue; Yiyang Zhou; Peng Xia; Mingyu Ding; Rafael Rafailov; Chelsea Finn; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: Benchmark; Video Preference; RLHF; Reward Model
348	ORIGAMISPACE: Benchmarking Multimodal LLMs in Multi-Step Spatial Reasoning with Mathematical Constraints Authors: Rui Xu; Dakuan Lu; Zicheng Zhao; Xiaoyu Tan; Xintao Wang; Siyu Yuan; Jiangjie Chen; Xu Yinghui Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: spatial reasoning; multimodal large language model; benchmark
349	On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection Authors: Weiqing He; Xiang Li; Tianqi Shang; Li Shen; Weijie J Su; Qi Long Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: Large Language Models; Watermark; Goodness-of-Fit
350	Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation Authors: David Heineman; Valentin Hofmann; Ian Magnusson; Yuling Gu; Noah A. Smith; Hannaneh Hajishirzi; Kyle Lo; Jesse Dodge Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: language models; benchmarks; evaluation
351	VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs Authors: Shmuel Berman; Jia Deng Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Spotlight Keywords: vision; vlms; visual understanding; visual reasoning; reasoning
352	A learnability analysis on neuro-symbolic learning Authors: Hao-Yuan He; Ming Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: neuro-symbolic learning; machine learning; learnability; reasoning shortcuts; abductive learning; probabilistic neuro-symbolic learning
353	An Evidence-Based Post-Hoc Adjustment Framework for Anomaly Detection Under Data Contamination Authors: Sukanya Patra; Souhaib Ben Taieb Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: anomaly detection; anomaly; contamination; test-time adaptation
354	AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection Authors: Saleh Momeni; Changnan Xiao; Bing Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Continual Learning; Class-Incremental Learning; Contrastive Learning; Extreme Learning Machines
355	Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness Authors: Longwei Wang; Ifrat Ikhtear Uddin; KC Santosh; Chaowei Zhang; Xiao Qin; Yang Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Adversarial Robustness; Symmetry; Equivariance
356	Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery Authors: Zhe Zhao; HaiBin Wen; Xianfu Liu; Rui Mao; Pengkun Wang; Liheng Yu; Linjiang Chen; Bo An; Qingfu Zhang; Yang Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Long-tailed learning; Imbalanced datasets
357	Dense Associative Memory with Epanechnikov Energy Authors: Benjamin Hoover; Zhaoyang Shi; Krishna Balasubramanian; Dmitry Krotov; Parikshit Ram Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Associative Memory; Dense Associative Memory; Kernel Density Estimation; Epanechnikov kernel; energy-based models; exponential memory capacity; Hopfield Networ…
358	Differentiable Decision Tree via "ReLU+Argmin" Reformulation Authors: Qiangqiang Mao; Jiayang Ren; Yixiu Wang; Chenxuanyin Zou; Jingjing Zheng; Yankai Cao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Differentiable decision tree; "ReLU+Argmin''-based hard tree; ReLU-based hard splits; Oblique decision tree; Gradient-based optimization
359	Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable Authors: Ruoxin Chen; Junwei Xi; Zhiyuan Yan; Ke-Yue Zhang; Shuang Wu; Jingyi Xie; Xu Chen; Lei Xu; Isabel Guan; Taiping Yao; Shouhong Ding Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: AIGC Detection
360	Enhancing Contrastive Learning with Variable Similarity Authors: Haowen Cui; Shuo Chen; Jun Li; Jian Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: contrastive learning; variable similarity
361	Fast Training of Large Kernel Models with Delayed Projections Authors: Amirhesam Abedsoltan; Siyuan Ma; Parthe Pandit; Mikhail Belkin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Kernel machines; large-scale kernel machines; Preconditioned-SGD; Nyström approximation
362	Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning Authors: Riccardo De Santi; Marin Vlastelica; Ya-Ping Hsieh; Zebang Shen; Niao He; Andreas Krause Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: diffusion models; flow matching; generative optimization; fine-tuning; entropy-regularized control
363	Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks Authors: Heasung Kim; Taekyun Lee; Hyeji Kim; Gustavo De Veciana Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Generative models; data augmentation; score-based generative models; risk; importance sampling; wireless communications; applications
364	Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry Authors: Masanari Kimura Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: label shift; target shift; domain adaptation
365	Hierarchical Shortest-Path Graph Kernel Network Authors: Jiaxin Wang; Wenxuan Tu; Jieren Cheng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Graph Kernel Neural Networks; Graph Classification
366	IA-GGAD: Zero-shot Generalist Graph Anomaly Detection via Invariant and Affinity Learning Authors: Xiong Zhang; Zhenli He; Changlong Fu; Cheng Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Generalist Graph Anomaly Detection
367	Improving Evolutionary Multi-View Classification via Eliminating Individual Fitness Bias Authors: Xinyan Liang; ShuaiLi; Qian Guo; Yuhua Qian; Bingbing Jiang; Tingjin Luo; Liang Du Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Multi-View Classification; Evolutionary Multi-View Classification; Individual Fitness Bias
368	InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions Authors: Liangjian Wen; Qun Dai; Jianzhuang Liu; Jiangtao Zheng; Yong Dai; Dongkai Wang; zhao kang; Jun Wang; Zenglin Xu; Jiang Duan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: 官方列表未公开
369	Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance Authors: Ya-Wei Eileen Lin; Ronald R. Coifman; Gal Mishne; Ronen Talmon Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: hierarchical representation learning; unsupervised learning; tree-Wasserstein distance; diffusion geometry; hyperbolic embeddings; Haar wavelet; manifold learn…
370	LLM Meeting Decision Trees on Tabular Data Authors: Hangting Ye; Jinmeng Li; He Zhao; Dandan Guo; Yi Chang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Tabular data; Large language models; Classification and regression
371	Long-Tailed Recognition via Information-Preservable Two-Stage Learning Authors: Fudong Lin; Xu Yuan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Long-Tailed Recognition; Two-Stage Learning; Information Theory
372	Minimax Adaptive Online Nonparametric Regression over Besov spaces Authors: Paul Liautaud; Pierre Gaillard; Olivier Wintenberger Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Online non-parametric regression; Adaptive learning; Wavelet-based methods; Besov spaces
373	On the Hardness of Conditional Independence Testing In Practice Authors: Zheng He; Roman Pogodin; Yazhe Li; Namrata Deka; Arthur Gretton; Danica J. Sutherland Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: conditional independence; statistical testing; kernel methods
374	On the Value of Cross-Modal Misalignment in Multimodal Representation Learning Authors: Yichao Cai; Yuhang Liu; Erdun Gao; Tianjiao Jiang; Zhen Zhang; Anton van den Hengel; Javen Qinfeng Shi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Representation Learning; Multimodal Learning; Identifiability; Latent Variable Models
375	Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion Authors: Xi Zhang; Yanyi Li; Yisi Luo; Qi Xie; Deyu Meng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: data stream; tensor decomposition
376	PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning Authors: Mingqi Wu; Qiang Sun; Archer Y. Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Contrastive Learning; Principal Component Analysis; Uniformity Regularization; Self-Supervised Learning; Representation Learning
377	Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation Authors: Guowei Wang; Fan Lyu; Changxing Ding Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: test-time adaptation; multi-modal domain shifts
378	PoE-World: Compositional World Modeling with Products of Programmatic Experts Authors: Wasu Top Piriyakulkij; Yichao Liang; Hao Tang; Adrian Weller; Marta Kryven; Kevin Ellis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: program synthesis; compositionality; world modeling
379	Precise Asymptotics and Refined Regret of Variance-Aware UCB Authors: Yingying Fan; Yuxuan Han; Jinchi Lv; Xiaocong XU; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: bandit learning; online learning; variance-aware decision making
380	SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration Authors: Elif Arslan; Jacobus G. M. van der Linden; Serge Hoogendoorn; Marco Rinaldi; Emir Demirović Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Rashomon sets; decision trees; interpretable machine learning
381	Scalable Cross-View Sample Alignment for Multi-View Clustering with View Structure Similarity Authors: Jun Wang; Zhenglai Li; Chang Tang; Suyuan Liu; Hao Yu; Chuan Tang; Miaomiao Li; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Multi-view Clustering; K-means Clustering; Similarity Graph Learning; Representation Learning
382	Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection Authors: Jinyu Cai; Yuan Xie; Glynnis Lim; Yifang Yin; Roger Zimmermann; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Anomaly Detection; Time-Series Analysis; Graph Neural Networks; Spatio-Temporal Graph
383	T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning Authors: Julie Mordacq; David Loiseaux; Vicky Kalogeiton; Steve Oudot Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: self-supervised learning; minimum spanning tree; dimensional collapse; dimension estimation; topological data analysis
384	TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception Authors: Runjian Chen; Hyoungseob Park; Bo Zhang; Wenqi Shao; Ping Luo; Alex Wong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Unsupervised 3D Representation Learning; Temporal Forecasting; LiDAR Perception
385	Towards a Pairwise Ranking Model with Orderliness and Monotonicity for Label Enhancement Authors: Yunan Lu; Xixi Zhang; Yaojin Lin; Weiwei Li; Lei Yang; Xiuyi Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: label polysemy; label distribution learning; label enhancement
386	Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift Authors: Yi Zhang; Elynn Chen; Yujun Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Dynamic Pricing; Transfer Learning; Random Utility Models; Posterior Shift; RKHS
387	Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression Authors: Yeichan Kim; Ilmun Kim; Seyoung Park Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Transfer Learning; Benign Overfitting; Generalization; Minimum-Norm Interpolator
388	Two‑Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion Authors: Haoyu Li; Xiangru Zhong; Bin Hu; Huan Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Learning based Control; Formal Verification; Stability Analysis
389	Universal Sequence Preconditioning Authors: Annie Marsden; Elad Hazan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: sequence prediction; time series; pre-conditioning
390	Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework Authors: Ali Zafari; Xi Chen; Shirin Jalali Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: compression-based denoising; zero-shot image denoising; neural compression
391	Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures Authors: Shuqing Luo; Ye Han; Pingzhi Li; Jiayin Qin; Jie Peng; Yang Katie Zhao; Yu Cao; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Spotlight Keywords: MoE; Chiplet Architecture; Post-Training Efficiency
392	Repo2Run: Automated Building Executable Environment for Code Repository at Scale Authors: Ruida Hu; Chao Peng; XinchenWang; Junjielong Xu; Cuiyun Gao Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Spotlight Keywords: Code data scaling; Large language model; Executable environment building
393	SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training Authors: Jintao Zhang; Jia wei; Haoxu Wang; Pengle Zhang; Xiaoming Xu; Haofeng Huang; Kai Jiang; Jianfei Chen; Jun Zhu Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Spotlight Keywords: Attention; Quantization; Efficient Attention; GPU Kernel
394	SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs Authors: Jinwoo Park; Seunggeun Cho; Dongsu Han Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Spotlight Keywords: Machine Learning Systems; LLM Serving; Split Computing; Speculative Decoding
395	3D Interaction Geometric Pre-training for Molecular Relational Learning Authors: Namkyeong Lee; Yunhak Oh; Heewoong Noh; Gyoung S. Na; Minkai Xu; Hanchen; Tianfan Fu; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: molecular science; molecular relational learning
396	A machine learning approach that beats Rubik's cubes Authors: Alexander Chervov; Kirill Khoruzhii; Nikita Bukhal; Jalal Naghiyev; Vladislav Zamkovoy; Ivan Koltsov; Lyudmila Cheldieva; Arsenii Sychev; Arsenii Lenin; Mark Obozov; Egor Urvanov;… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: pathfinding; multi-agent; ML; machine learning; Cayley graph; Rubik; cube; MLP
397	Ambient Proteins - Training Diffusion Models on Noisy Structures Authors: Giannis Daras; Jeffrey Ouyang-Zhang; Krithika Ravishankar; Constantinos Costis Daskalakis; Adam Klivans; Daniel Jesus Diaz Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: ambient; diffusion; protein; de novo protein design
398	BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning Authors: Jianyang Gu; Samuel Stevens; Elizabeth G Campolongo; Matthew J Thompson; Net Zhang; Jiaman Wu; Andrei Kopanev; Zheda Mai; Alexander E. White; James Balhoff; Wasila Dahdul; Daniel… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Biology Foundation Models; Multi-modal Representation Learning
399	Boundary-Value PDEs Meet Higher-Order Differential Topology-aware GNNs Authors: Yunfeng Liao; Yangxin Wu; Xiucheng Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Partial differential equations; Neural operator; Higher-order graph neural network; Exterior differential calculus; Electromagneticism
400	CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs Authors: Jan Hagnberger; Daniel Musekamp; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Partial Differential Equations; PDEs; Physical Simulations; Convolution; Discretization-Agnostic; Encoder-Decoder; Neural PDE Solvers; Neural Operator; Latent…
401	Cloud4D: Estimating Cloud Properties at a High Spatial and Temporal Resolution Authors: Jacob Lin; Edward Gryspeerdt; Ronald Clark Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: AI for Science; Computer Vision; Climate Change; 3D Reconstruction
402	Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL Authors: Xingyu Chen; Shihao Ma; Runsheng Lin; Jiecong Lin; BO WANG Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Regulatory DNA sequence design; Reinforcement Learning; Constrained optimization; Genomic language model
403	DeepHalo: A Neural Choice Model with Controllable Context Effects Authors: Shuhan Zhang; Zhi Wang; Rui Gao; Shuang Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Choice Model; Preference Learning; Deep Learning
404	Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics Authors: Tobias Würth; Niklas Freymuth; Gerhard Neumann; Luise Kärger Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Neural PDE Solvers; Diffusion Models; Graph Neural Networks; Learned Simulation; AI4Science
405	Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling Authors: Javier E. Santos; Agnese Marcato; Roman Colman; Nicholas Lubbers; Yen Ting Lin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Diffusion models; physics; spatial diffusion; continuous-time discrete-state Markov process; mass conservation; intensity conservation; scientific data
406	E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Authors: Yunyang Li; Lin Huang; Zhihao Ding; Xinran Wei; Chu Wang; Han Yang; Zun Wang; Chang Liu; Yu Shi; Peiran Jin; Tao Qin; Mark Gerstein; Jia Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Equivariant Neural network; quantum chemistry
407	ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals Authors: Jonas Elsborg; Luca Thiede; Alan Aspuru-Guzik; Tejs Vegge; Arghya Bhowmik Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: charge density; quantum chemistry; equivariance; graph neural networks; molecular representation
408	ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators Authors: Armand Kassaï Koupaï; Lise Le Boudec; Louis Serrano; Patrick Gallinari Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: parametric PDE; generative models; autoregressive transformers; operator learning
409	Environment Inference for Learning Generalizable Dynamical System Authors: Shixuan Liu; Yue He; Haotian Wang; Wenjing Yang; Yunfei Wang; Peng Cui; Zhong Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Dynamical Systems; Distribution Shift; Environment Inference
410	FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction Authors: Ruizhe Zheng; Lingyan Mao; DINGDING HAN; Tian Luo; Yi Wang; Jing Ding; Yuguo Yu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: seizure prediction; AI for health
411	Fast MRI for All: Bridging Access Gaps by Training without Raw Data Authors: Yasar Utku Alcalar; Merve Gulle; Mehmet Akcakaya Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Computational Imaging; Fast MRI; Unsupervised Learning; Compressed Sensing; Deep Learning; Access
412	Flash Invariant Point Attention Authors: Andrew Liu; Axel Elaldi; Nicholas T Franklin; Nathan Russell; Gurinder S. Atwal; Yih-En Andrew Ban; Olivia Viessmann Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: geometric deep learning; structural biology; invariant point attention
413	FlashMD: long-stride, universal prediction of molecular dynamics Authors: Filippo Bigi; Sanggyu Chong; Agustinus Kristiadi; Michele Ceriotti Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: molecular dynamics; atomistic modeling; geometric machine learning; statistical mechanics
414	HYPERION: Fine-Grained Hypersphere Alignment for Robust Federated Graph Learning Authors: Guancheng Wan; Xiaoran Shang; Yuxin Wu; Guibin Zhang; Jinhe Bi; Liangtao Zheng; Xin Lin; Yue Liu; Yanbiao Ma; Wenke Huang; Bo Du Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Federated Learning; Graph Learning; Robustness; Geometric Learning
415	High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction Authors: Seongsu Kim; Nayoung Kim; Dongwoo Kim; Sungsoo Ahn Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: AI for sciences; Machine learning for science; Hamiltonian prediction; Density functional theory; Quantum physics; Physics; Computational chemsitry; Flow match…
416	HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions Authors: Rafael Bischof; Michal Piovarci; Michael Anton Kraus; Siddhartha Mishra; Bernd Bickel Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: neural operators; physics-informed neural networks; partial differential equations; hypernetworks
417	KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment Authors: Yuxing Lu; Wei Wu; Xukai Zhao; Rui Peng; Jinzhuo Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Knowledge Graphs; Multi Agent System
418	Learning Interestingness in Automated Mathematical Theory Formation Authors: George Tsoukalas; Rahul Saha; Amitayush Thakur; Sabrina Reguyal; Swarat Chaudhuri Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: automated mathematics; AI for math; interestingness; reinforcement learning; scientific discovery; theory discovery
419	Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting Authors: Wei Chen; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Spatio-Temporal Forecasting; Open-World Learning
420	Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators Authors: Albert Matveev; Sanmitra Ghosh; Aamal Hussain; James-Michael Leahy; Michalis Michaelides Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: neural operator; Fourier neural operator; diffusion multipler; bayesian inference; variational inference; uncertainty quantification
421	Mitigating Instability in High Residual Adaptive Sampling for PINNs via Langevin Dynamics Authors: Minseok Jeong; Giup Seo; Euiseok Hwang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Langevin dynamics; Adaptive sampling; Physics-informed neural network; Learning stability
422	OCTDiff: Bridged Diffusion Model for Portable OCT Super-Resolution and Enhancement Authors: Ye Tian; Angela McCarthy; Gabriel Gomide; Nancy Liddle; Jedrzej Golebka; Royce Chen; Jeff Liebmann; Kaveri A. Thakoor Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Super-resolution; Medical Imaging; Diffusion Model; Noise Aggregation; Computer Vision
423	Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies Authors: Runze Yan; Xun Shen; Akifumi Wachi; Sebastien Gros; Anni Zhao; Xiao Hu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Health informatics; Offline reinforcement learning; Safe reinforcement learning; Mathematical optimization
424	Orochi: Versatile Biomedical Image Processor Authors: Gaole Dai; Chenghao Zhou; Yu Zhou; Rongyu Zhang; Yuan Zhang; Chengkai Hou; Tiejun Huang; Jianxu Chen; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: life science; biology; microscopy; foundation model
425	PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models Authors: Tonglong Wei; Yan Lin; Youfang Lin; Shengnan Guo; Jilin Hu; Haitao Yuan; Gao Cong; Huaiyu Wan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Spatio-temporal data mining; trajectory data mining; vehicle trajectory recovery
426	Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning Authors: Yibo Zhao; Yang Zhao; Hongru Du; Hao Frank Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Personalized Decision Making; Symbolic Regression; LLM
427	Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities Authors: Tara Akhound-Sadegh; Jungyoon Lee; Joey Bose; Valentin De Bortoli; Arnaud Doucet; Michael M. Bronstein; Dominique Beaini; Siamak Ravanbakhsh; Kirill Neklyudov; Alexander Tong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Boltzmann Sampling; Diffusion Models; Molecular Conformations; Sequential Monte Carlo
428	ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search Authors: Mengdi Liu; Xiaoxue Cheng; Zhangyang Gao; Hong Chang; Cheng Tan; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: protein design
429	Protein Design with Dynamic Protein Vocabulary Authors: Nuowei Liu; Jiahao Kuang; Yanting Liu; Tao Ji; Changzhi Sun; Man Lan; Yuanbin Wu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: function-based protein design
430	Reinforcement Learning for Out-of-Distribution Reasoning in LLMs: An Empirical Study on Diagnosis-Related Group Coding Authors: Hanyin Wang; Zhenbang Wu; Gururaj J. Kolar; Hariprasad Reddy Korsapati; Brian Bartlett; Bryan Hull; Jimeng Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: RL; DRG; Medical Coding
431	Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins Authors: Aadyot Bhatnagar; Sarthak Jain; Joel Beazer; Samuel C. Curran; Alexander M. Hoffnagle; Kyle Shan Ching; Michael Martyn; Stephen Nayfach; Jeffrey A. Ruffolo; Ali Madani Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: protein; language model; generative; infilling; scaling laws; mixture of experts; sparse; alignment; DPO
432	SpecMER: Fast Protein Generation with K-mer Guided Speculative Decoding Authors: Thomas Walton; Darin Tsui; Aryan Musharaf; Amirali Aghazadeh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: speculative decoding; protein design; autoregressive; PLM; sampling; structure
433	Stochastic Process Learning via Operator Flow Matching Authors: Yaozhong Shi; Zachary E Ross; Domniki Asimaki; Kamyar Azizzadenesheli Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Operator Learning; Fourier Neural Operator; Bayesian Methods; Gaussian Process; AI for Science
434	TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence Authors: Feng Jiang; Mangal Prakash; Hehuan Ma; Jianyuan Deng; Yuzhi Guo; Amina Mollaysa; Tommaso Mansi; Rui Liao; Junzhou Huang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Molecular representation learning; Molecular property prediction; Multimodal learning
435	UMA: A Family of Universal Models for Atoms Authors: Brandon M Wood; Misko Dzamba; Xiang Fu; Meng Gao; Muhammed Shuaibi; Luis Barroso-Luque; Kareem Abdelmaqsoud; Vahe Gharakhanyan; John R. Kitchin; Daniel S. Levine; Kyle Michel; Anu… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Chemistry; Materials Science; Machine Learning Interatomic Potential; Density Functional Theory; Graph Neural Networks
436	UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection Authors: Jigang Fan; QuanLin Wu; Shengjie Luo; Liwei Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Ligand Binding Site Detection; Ligand Binding Site Prediction; Drug Discovery; Structure Based Drug Discovery
437	Unlocking hidden biomolecular conformational landscapes in diffusion models at inference time Authors: Daniel D. Richman; Jessica Karaguesian; Carl-Mikael Suomivuori; Ron O. Dror Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: protein conformations; biomolecular systems; enhanced sampling; diffusion; importance sampling; protein flexibility
438	scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration Authors: Jianle Sun; Chaoqi Liang; Ran Wei; Peng Zheng; LEI BAI; Wanli Ouyang; Hongliang Yan; Peng Ye Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Spotlight Keywords: Single-cell omics; Multi-omics integration; Unpaired data; Disentangled representation; Variational inference; Adversarial learning; Isometric regularization;…
439	AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling Authors: Zhining Zhang; Chuanyang Jin; Mung Yao Jia; Shunchi Zhang; Tianmin Shu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Theory of Mind; Agent Modeling; Bayesian Inverse Planning; Large Language Models; Cognitive Modeling
440	Bipolar Self-attention for Spiking Transformers Authors: Shuai Wang; Malu Zhang; Jingya Wang; Dehao Zhang; Yimeng Shan; Jieyuan Zhang; Yichen Xiao; Honglin Cao; Haonan Zhang; Zeyu Ma; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Spiking Neural Networks; Spiking self-attention; Spiking transformer
441	Brain-Inspired fMRI-to-Text Decoding via Incremental and Wrap-Up Language Modeling Authors: Wentao Lu; Dong Nie; Pengcheng Xue; Zheng Cui; Piji Li; Daoqiang Zhang; Xuyun Wen Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: fMRI-to-text; brain decoding; sequential decoding; text-guided mask
442	CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding Authors: Yuchen Zhou; Jiamin Wu; Zichen Ren; Zhouheng Yao; Weiheng Lu; Kunyu Peng; Qihao Zheng; Chunfeng Song; Wanli Ouyang; Chao Gou Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Brain Foundation Model; Cross-scale; Generalized EEG Decoding
443	Caption This, Reason That: VLMs Caught in the Middle Authors: Zihan Weng; Lucas Gomez; Taylor Whittington Webb; Pouya Bashivan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: vlm; lmm; mllm; cognition; visual reasoning; reasoning; evaluation; finetuning
444	Characterizing control between interacting subsystems with deep Jacobian estimation Authors: Adam Joseph Eisen; Mitchell Ostrow; Sarthak Chandra; Leo Kozachkov; Earl K Miller; Ila R Fiete Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: control theory; dynamical systems; neuroscience; deep learning; modular systems
445	Decomposing stimulus-specific sensory neural information via diffusion models Authors: Steeve Laquitaine; Simone Azeglio; Carlo Paris; Ulisse Ferrari; Matthew Chalk Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Neuroscience; Neural coding; Information theory; Efficient coding; Diffusion models
446	Does Object Binding Naturally Emerge in Large Pretrained Vision Transformers? Authors: Yihao Li; Saeed Salehi; Lyle Ungar; Konrad Kording Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Object binding; Vision Transformers (ViTs); Neural coding; Cognitive science; Interpretability
447	Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism Authors: Mete Erdogan; Cengiz Pehlevan; Alper Tunga Erdogan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Biologically Plausible Neural Networks; Backpropagation Alternative; Error Broadcasting; Direct Feedback Alignment
448	Error Forcing in Recurrent Neural Networks Authors: A Erdem Sağtekin; Colin Bredenberg; Cristina Savin Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: recurrent neural networks; bio-plausible learning
449	Estimating cognitive biases with attention-aware inverse planning Authors: Sounak Banerjee; Daphne Cornelisse; Deepak Edakkattil Gopinath; Emily Sumner; Jonathan DeCastro; Guy Rosman; Eugene Vinitsky; Mark K Ho Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Inverse Planning; Bounded Rationality; Computational Cognitive Modeling; Inverse Reinforcement Learning; Human Interaction
450	EvoBrain: Dynamic Multi-Channel EEG Graph Modeling for Time-Evolving Brain Networks Authors: Rikuto Kotoge; Zheng Chen; Tasuku Kimura; Yasuko Matsubara; Takufumi Yanagisawa; Haruhiko Kishima; Yasushi Sakurai Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: EEG; graph; neuroscience; seizure; dynamic modeling; expressiveness
451	Extracting task-relevant preserved dynamics from contrastive aligned neural recordings Authors: Yiqi Jiang; Kaiwen Sheng; Yujia Gao; E. Kelly Buchanan; Yu Shikano; Seung Je Woo; Yixiu Zhao; Tony Hyun Kim; Fatih Dinc; Scott Linderman; Mark Schnitzer Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: neural latent embedding; neural latent dynamics; contrastive learning
452	Fully Autonomous Neuromorphic Navigation and Dynamic Obstacle Avoidance Authors: Xiaochen Shang; Luo Pengwei; Xinning Wang; Jiayue Zhao; Huilin Ge; Bo Dong; Xin Yang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: neuromorphic; bio-inspred algorithm; dynamic obstacle avoidance; navigation; UAV; autonomous robots; event camera
453	Jacobian-Based Interpretation of Nonlinear Neural Encoding Model Authors: Xiaohui Gao; Haoran Yang; Yue Cheng; Mengfei Zuo; Yiheng Liu; Peiyang Li; Xintao Hu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: fMRI; neural encoding model; nonlinearity; Jacobian matrix
454	Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Authors: Ann Huang; Satpreet Harcharan Singh; Flavio Martinelli; Kanaka Rajan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: recurrent neural network; dynamical systems; neuroscience; neural computations
455	Scaling and context steer LLMs along the same computational path as the human brain Authors: Joséphine Raugel; Jérémy Rapin; Stéphane d'Ascoli; Valentin Wyart; Jean-Remi King Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Large Language Models; LLMs; Emergence; Neuroscience; Brain; Alignment; Language; Magnetoencephalography
456	Seeing Sound, Hearing Sight: Uncovering Modality Bias and Conflict of AI models in Sound Localization Authors: Yanhao Jia; Ji Xie; S Jivaganesh; Li Hao; Xu Wu; Mengmi Zhang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: multimodal; representation alignment; neuroscience; human behavior; sound localization; auditory processing
457	Self-Assembling Graph Perceptrons Authors: Jialong Chen; Tong Wang; Bowen Deng; Luonan Chen; Zibin Zheng; Chuan Chen Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Self-Assembling Neural Network; Plastic Neural Network
458	Toward Relative Positional Encoding in Spiking Transformers Authors: Changze Lv; Yansen Wang; Dongqi Han; Yifei Shen; Xiaoqing Zheng; Xuanjing Huang; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Spiking Neural Networks; Relative Positional Encoding; Spiking Transformers
459	Transformer brain encoders explain human high-level visual responses Authors: Hossein Adeli; Minni Sun; Nikolaus Kriegeskorte Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Brain encoding; visual processing; transformers
460	Vector Quantization in the Brain: Grid-like Codes in World Models Authors: Xiangyuan Peng; Xingsi Dong; Si Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Vector quantization; Brain inspired AI; Grid-like code; World models
461	Wavelet Canonical Coherence for Nonstationary Signals Authors: Haibo Wu; Marina I. Knight; Keiland W. Cooper; Norbert J. Fortin; Hernando Ombao Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Spotlight Keywords: Multivariate time series; Neural signal analysis; Nonstationarity; Wavelet canonical coherence
462	A Near-Optimal Algorithm for Decentralized Convex-Concave Finite-Sum Minimax Optimization Authors: Hongxu Chen; Ke Wei; Haishan Ye; Luo Luo Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Minimax optimization; decentralized optimization; stochastic algorithm; variance reduction
463	Accelerating Optimization via Differentiable Stopping Time Authors: Zhonglin Xie; Yiman Fong; Haoran Yuan; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: optimization; implicit differentiation; hyperparameter tuning; differential equations
464	Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance Authors: Qiujiang Jin; Aryan Mokhtari Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Convex Optimization; Quasi-Newton Method; BFGS Algorithm; Global Convergence Analysis; Self-Concordance
465	Any-stepsize Gradient Descent for Separable Data under Fenchel–Young Losses Authors: Han Bao; Shinsaku Sakaue; Yuki Takezawa Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: gradient descent; loss function; implicit bias
466	Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees Authors: Daniel Ovalle; Lorenz T. Biegler; Ignacio E Grossmann; Carl D Laird; Mateo Dulce Rubio Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Constraint Learning; Conformal Prediction; Mixed-Integer Programming
467	Corporate Needs You to Find the Difference: Revisiting Submodular and Supermodular Ratio Optimization Problems Authors: Elfarouk Harb; Yousef Yassin; Chandra Chekuri Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: densest subgraph; densest supermodular set; submodular function minimization.
468	Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning Authors: Alexander Bodard; Panagiotis Patrinos Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Nonconvex optimization; generalized smoothness; saddle point avoidance
469	Fast Projection-Free Approach (without Optimization Oracle) for Optimization over Compact Convex Set Authors: Chenghao Liu; Enming Liang; Minghua Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: projection-free; homeomorphism; gauge mapping; constrained optimization; convex set
470	Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness Authors: Yuheng Zhao; Yu-Hu Yan; Kfir Yehuda Levy; Peng Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: online learning; regret; acceleration
471	Graph-Based Attention for Differentiable MaxSAT Solving Authors: Sota Moriyama; Katsumi Inoue Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Maximum Satisfiability; Weighted Maximum Satisfiability; Graph Neural Network; Graph Attention; T-Norm; Neurosymbolic
472	Guarantees for Alternating Least Squares in Overparameterized Tensor Decompositions Authors: Dionysis Arvanitakis; Vaidehi Srinivas; Aravindan Vijayaraghavan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: tensor decomposition; overparameterization; alternating least squares; optimization; iterative methods
473	Hamiltonian Descent Algorithms for Optimization: Accelerated Rates via Randomized Integration Time Authors: Qiang Fu; Andre Wibisono Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Optimization; Hamiltonian Flow; Acceleration; Randomization
474	Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems Authors: Ni Zhang; Zhiguang Cao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: GFlowNet; Vehicle Routing Problem
475	MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization Authors: Da Chang; Ganzhao Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Stochastic Optimization; Convergence Analysis; Adaptive Optimizers; Nonconvex Optimization; Large Language Models; Momentum-Gradient Alignment
476	OPTFM: A Scalable Multi-View Graph Transformer for Hierarchical Pre-Training in Combinatorial Optimization Authors: Hao Yuan; Wenli Ouyang; Changwen Zhang; Congrui Li; Yong Sun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: combinatorial optimization; foundation model; graph transformer; hierarchical pre-training
477	On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization Authors: Shaocong Ma; Heng Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: zeroth-order optimization; stochastic optimization; stochastic gradient descent
478	PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts Authors: Zeman Li; Yuan Deng; Peilin Zhong; Meisam Razaviyayn; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Multi-task learning; Large language models; Large-scale optimization
479	Probing Neural Combinatorial Optimization Models Authors: Zhiqin Zhang; Yining Ma; Zhiguang Cao; Hoong Chuin Lau Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Neural Combinatorial Optimization; Probing; Vehicle Routing Problem
480	Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality Authors: Mincheol Park; Heeji Won; Won Woo Ro; Suhyun Kim Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Test-Time Adaptation; Domain Adaptation; Energy-Based Models
481	Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization Authors: He Chen; Jiajin Li; Anthony Man-Cho So Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Bilevel optimization; Clarke stationarity; Weakly convex optimization; Set-valued functions
482	Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Authors: Evan Markou; Thalaiyasingam Ajanthan; Stephen Gould Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Non-convex optimisation; Convergence rates; Gradient descent; Solution manifold; Reduction mappings; Curvature; Reparametrisations; Bilevel optimisation; Preco…
483	Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate Authors: Ferdinand Genans; Antoine Godichon-Baggioni; François-Xavier Vialard; Olivier Wintenberger Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Stochastic Optimization; Gradient Descent; Optimal Transport; Statistical estimation
484	UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems Authors: Dian Meng; Zhiguang Cao; Jie Gao; Yaoxin Wu; Yaqing Hou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Neural solver; Transformer; Reinforcement Learning; VRP
485	Unlocking Dataset Distillation with Diffusion Models Authors: Brian Bernhard Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: Dataset Distillation; Diffusion Models; Latent Diffusion Models; Vanishing Gradients; Generative Priors
486	An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph Authors: Tam Le; Truyen Nguyen; Hideitsu Hino; Kenji Fukumizu Affiliation: 官方页面未列出 Official area / track: other Recognition: Spotlight Keywords: Orlicz-Wasserstein; generalized Sobolev transport; Orlicz geometric structure; Lp geometric structure; measures on a graph; measures with different total mass
487	Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem Authors: Yichen Li; Yijing Shan; YI LIU; Haozhao Wang; Cheng Wang; wangshi.ww; Yi Wang; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Spotlight Keywords: Federated Learning; Recommendation System
488	Quantum Doubly Stochastic Transformers Authors: Jannis Born; Filip Skogh; Kahn Rhrissorrakrai; Filippo Utro; Nico Wagner; Aleksandros Sobczyk Affiliation: 官方页面未列出 Official area / track: other Recognition: Spotlight Keywords: Quantum Machine Learning; Transformers; Self-Attention; Computer Vision
489	ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge Authors: Manh Cuong Dao; The Hung Tran; Phi Le Nguyen; Thao Nguyen Truong; Trong Nghia Hoang Affiliation: 官方页面未列出 Official area / track: other Recognition: Spotlight Keywords: Offline Optimization; Diffusion Model; Probabilistic Method
490	ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition Authors: Daolang Huang; Xinyi Wen; Ayush Bharti; Samuel Kaski; Luigi Acerbi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Amortized inference; Bayesian experimental design; Active learning; Bayesian inference; Neural processes
491	An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation Authors: UZAIR AKBAR; Niki Kilbertus; Hao Shen; Krikamol Muandet; Bo Dai Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Causal Inference; Data Augmentation; Instrumental Variables; Out-of-distribution Generalization; Causal Regularization
492	BayeSQP: Bayesian Optimization through Sequential Quadratic Programming Authors: Paul Brunzema; Sebastian Trimpe Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Bayesian optimization; sequential quadratic programming; constrained optimization
493	CausalPFN: Amortized Causal Effect Estimation via In-Context Learning Authors: Vahid Balazadeh; Hamidreza Kamkari; Valentin Thomas; Junwei Ma; Bingru Li; Jesse C. Cresswell; Rahul Krishnan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Causal Inference; Prior-Data Fitted Networks; Bayesian Inference; Ignorability; In-Context Learning; Meta-Learning; Automated Causal Inference
494	CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates Authors: Tianyu Chen; Vansh Bansal; James G. Scott Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Statistical Hypothesis Testing; Neural Posterior Estimation; Likelihood-Free Inference; Bayesian Methods; Simulation-Based Inference
495	Credal Prediction based on Relative Likelihood Authors: Timo Löhr; Paul Hofman; Felix Mohr; Eyke Hüllermeier Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Uncertainty Representation; Credal Set; Relative Likelihood
496	DeCaFlow: A deconfounding causal generative model Authors: Alejandro Almodóvar; Adrián Javaloy; Juan Parras; Santiago Zazo; Isabel Valera Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: hidden confounders; causal identifiability; causal query; latent variable model; counterfactuals
497	Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components Authors: Abel Jansma Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: causality; synergy; redundancy; attribution; Möbius inversion; partial information decomposition; explainability; XAI
498	Deep Continuous-Time State-Space Models for Marked Event Sequences Authors: Yuxin Chang; Alex James Boyd; Cao Xiao; Taha Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Marked temporal point processes; state-space models; Hawkes processes
499	Differentiable Cyclic Causal Discovery Under Unmeasured Confounders Authors: Muralikrishnna Guruswamy Sethuraman; Faramarz Fekri Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: causal discovery; confounders; feedback loops; generative modeling
500	Direct Fisher Score Estimation for Likelihood Maximization Authors: Sherman Khoo; Yakun Wang; Song Liu; Mark Beaumont Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Simulation-based inference; Likelihood-free inference; Score Matching; Gradient-Based Optimization; Likelihood Maximization
501	Fisher meets Feynman: score-based variational inference with a product of experts Authors: Diana Cai; Robert M. Gower; David Blei; Lawrence K. Saul Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: black-box variational inference; score matching; product of experts; multivariate t-distribution; Feynman identity; Fisher divergence; expressive variational f…
502	Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models Authors: Ehsan Sharifian; Saber Salehkaleybar; Negar Kiyavash Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Causal Discovery; Adaptive Experiment Design; Linear Non-Gaussian SCMs; Cyclic Causal Models; Adaptive Submodularity; Greedy Optimization
503	On the Hardness of Approximating Distributions with Tractable Probabilistic Models Authors: John Leland; YooJung Choi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: probabilistic circuits; approximation; size lower bounds
504	Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics Authors: Sean McGrath; Debarghya Mukherjee; Rajarshi Mukherjee; Zixiao Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Debiased Estimation; Sample Splitting; Nuisance Parameter Selection; Proportional Asymptotics; Semiparametric Inference
505	Quantum speedup of non-linear Monte Carlo problems Authors: Jose Blanchet; Yassine Hamoudi; Mario Szegedy; Guanyang Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: quantum computing; Monte Carlo; multilevel Monte Carlo; nested expectation
506	Spectral Estimation with Free Decompression Authors: Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Random Matrix Theory; Free Decompression; Spectral Density Estimation
507	Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference Authors: Denis Blessing; Julius Berner; Lorenz Richter; Carles Domingo-Enrich; Yuanqi Du; Arash Vahdat; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Stochastic optimal control; sampling; fine-tuning of diffusion models
508	Universal Causal Inference in a Topos Authors: Sridhar Mahadevan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Causal inference; Category Theory; Topos; Structural Causal Model
509	Variational Transdimensional Inference Authors: Laurence Davies; Dan MacKinlay; Rafael Oliveira; Scott A Sisson Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Bayesian inference; variational inference; transdimensional inference; normalizing flows; Bayesian optimization
510	A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search Authors: Arnav Kumar Jain; Vibhakar Mohta; Subin Kim; Atiksh Bhardwaj; Juntao Ren; Yunhai Feng; Sanjiban Choudhury; Gokul Swamy Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Imitation learning; world models; inverse reinforcement learning
511	A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning Authors: Zechen Wu; Amy Greenwald; Ronald Parr Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Policy Evaluation; Temporal Difference Learning; Fitted Q-iteration; Target Network; Offline RL; Linear Function Approximation; Matrix Splitting
512	Accelerating Visual-Policy Learning through Parallel Differentiable Simulation Authors: Haoxiang You; Yilang Liu; Ian Abraham Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: visual policy learning; analytical policy gradient; differentiable simulation
513	Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation Authors: Chen YAN; Weina Wang; Lei Ying Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Markov Decision Processes; Restless Bandits; Gaussian Approximation; Stochastic Optimization
514	Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning Authors: Yixiu Mao; Yun Qu; Cheems Wang; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: offline reinforcement learning
515	AlphaZero Neural Scaling and Zipf's Law: a Tale of Board Games and Power Laws Authors: Oren Neumann; Claudius Gros Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Scaling Laws; Reinforcement Learning
516	Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems Authors: Hao Liang; Shuqing Shi; Yudi Zhang; Biwei Huang; Yali Du Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Multi-Agent Reinforcement Learning; Networked Systems; Domain Generalization; Domain Adaptation; Causal Structure Learning
517	Checklists Are Better Than Reward Models For Aligning Language Models Authors: Vijay Viswanathan; Yanchao Sun; Xiang Kong; Meng Cao; Graham Neubig; Tongshuang Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: alignment; rubrics; instruction following; RLHF
518	Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data Authors: Lingkai Kong; Haichuan Wang; Tonghan Wang; GUOJUN XIONG; Milind Tambe Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement Learning; Flow Matching; Dynamics Shift
519	Compositional Monte Carlo Tree Diffusion for Extendable Planning Authors: Jaesik Yoon; Hyeonseo Cho; Sungjin Ahn Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Diffusion; MCTS; Long-term Planning; Offline RL; Goal-conditioned RL; Stitching sub-plans
520	Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning Authors: Ezgi Korkmaz Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: reinforcement learning; sample efficiency; scalable Deep RL; data efficiency; exploration; sample efficient reinforcement learning; temporal difference learning
521	DAPO : Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage-Based Policy Optimization Authors: Jiacai Liu; Chaojie Wang; Chris Yuhao Liu; Liang Zeng; Rui Yan; Yiwen Sun; Yang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: large language models; reasoning; alignment; multi-step RL; offline RL
522	DMWM: Dual-Mind World Model with Long-Term Imagination Authors: Lingyi Wang; Rashed Shelim; Walid Saad; Naren Ramakrishnan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: World model; long-term planning; logical reasoning; dual-process system
523	DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation Authors: Kefei Zhu; Fengshuo Bai; YuanHao Xiang; Yishuai Cai; Xinglin Chen; Ruochong Li; Xingtao Wang; Hao Dong; Yaodong Yang; Xiaopeng Fan; Yuanpei Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: robotic learning; dexterous manipulation; data flywheel
524	EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling Authors: Jia-Hua Lee; Bor-Jiun Lin; Wei-Fang Sun; Chun-Yi Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Model-based Reinforcement Learning; Atari 100k; Doom; Crafter; MAMBA; Diffusion; World Model
525	Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning Authors: Jaesik Yoon; Hyeonseo Cho; Yoshua Bengio; Sungjin Ahn Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Diffusion; MCTS; Long-term Planning; Offline RL; Goal-conditioned RL; Efficient Planning; Reasoning; Inference-Time Scaling
526	Flattening Hierarchies with Policy Bootstrapping Authors: John Luoyu Zhou; Jonathan Kao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: reinforcement learning; goal-conditioned; hierarchical; offline
527	Forecasting in Offline Reinforcement Learning for Non-stationary Environments Authors: Suzan Ece Ada; Georg Martius; Emre Ugur; Erhan Oztop Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement learning; Robust Reinforcement learning; Offline Reinforcement Learning; Diffusion Models
528	From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots Authors: Yuxuan Wang; Ming Yang; Ziluo Ding; Yu Zhang; Weishuai Zeng; Xinrun Xu; Haobin Jiang; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: robotics
529	Generative Trajectory Stitching through Diffusion Composition Authors: Yunhao Luo; Utkarsh Aashu Mishra; Yilun Du; Danfei Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Trajectory Stitching; Diffusion Models; Compositionality; Planning
530	Horizon Reduction Makes RL Scalable Authors: Seohong Park; Kevin Frans; Deepinder Mann; Benjamin Eysenbach; Aviral Kumar; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: reinforcement learning; offline reinforcement learning
531	Imitation Beyond Expectation Using Pluralistic Stochastic Dominance Authors: Ali Farajzadeh; Danyal Saeed; Syed M Abbas; Rushit N. Shah; Aadirupa Saha; Brian D Ziebart Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: imitation learning
532	LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Authors: Qianyue Hao; Yiwen Song; Qingmin Liao; Jian Yuan; Yong Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement learning; large language model; policy exploration
533	Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning Authors: Gunshi Gupta; Karmesh Yadav; Zsolt Kira; Yarin Gal; Rahaf Aljundi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement learning; transformers; memory; compression
534	Memory-Enhanced Neural Solvers for Routing Problems Authors: Felix Chalumeau; Refiloe Shabe; Noah De Nicola; Arnu Pretorius; Thomas D Barrett; Nathan Grinsztajn Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: reinforcement learning; combinatorial optimisation; routing; memory
535	Multi-agent Markov Entanglement Authors: Shuze Chen; Tianyi Peng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Multi-agent Reinforcement Learning; Reinforcement Learning Theory; Policy Evaluation
536	On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning Authors: Till Freihaut; Giorgia Ramponi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement Learning; Multi-Agent Reinforcement Learning; Inverse Reinforcement Learning; Multi-Agent Inverse Reinforcement Learning
537	Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning Authors: Hongjoon Ahn; Heewoong Choi; Jisu Han; Taesup Moon Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement learning; Offline RL; Goal-conditioned RL; Hierarchical RL; Temporal Abstraction
538	Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems Authors: Christian Walder; Deep Tejas Karkhanis Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: reinforcement learning; llm; pass at k; inference time compute; monte carlo; gradient estimation
539	Plasticity as the Mirror of Empowerment Authors: David Abel; Michael Bowling; Andre Barreto; Will Dabney; Shi Dong; Steven Stenberg Hansen; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doin… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Plasticity; Empowerment; Agents; Reinforcement Learning; Continual Reinforcement Learning; Information Theory
540	Policy Compatible Skill Incremental Learning via Lazy Learning Interface Authors: Daehee Lee; Dongsu Lee; TaeYoon Kwack; Wonje Choi; Honguk Woo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Skill Incremental Learning; Imitation Learning
541	Predictive Preference Learning from Human Interventions Authors: Haoyuan Cai; Zhenghao Peng; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Imitation Learning; Human-in-the-loop Reinforcement Learning; Shared Autonomy; Learning from Human Preference
542	Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs Authors: XiangCheng Zhang; Yige Hong; Weina Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: weakly-coupled Markov decision processes; fully heterogeneous systems; asymptotic optimality; planning; average-reward Markov decision processes; Lyapunov anal…
543	Quantization-Free Autoregressive Action Transformer Authors: Ziyad Sheebaelhamd; Michael Tschannen; Michael Muehlebach; Claire Vernade Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Imitation Learning; Reinforcement Learning; Transformers
544	RF-Agent: Automated Reward Function Design via Language Agent Tree Search Authors: Ning Gao; Xiuhui Zhang; Xingyu Jiang; Mukang You; Mohan Zhang; Yue Deng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reward Design; Reinforcement Learning; Large Language Models; Language Agent; Monte Carlo Tree Search
545	STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation Authors: Hossein Goli; Michael Gimelfarb; Nathan Samuel de Lara; Haruki Nishimura; Masha Itkina; Florian Shkurti Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Off Policy Evaluation; Reinforcement Learning; Generative Models
546	Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning Authors: Bastien Dubail; Stefan Stojanovic; Alexandre Proutiere Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Low-rank representation; RL; successor measure; local mixing
547	Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning Authors: Roger Creus Castanyer; Johan Obando-Ceron; Lu Li; Pierre-Luc Bacon; Glen Berseth; Aaron Courville; Pablo Samuel Castro Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement learning; Deep reinforcement learning; Gradients; Residuals
548	The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis Authors: Alex Lewandowski; Aditya A. Ramesh; Edan Meyer; Dale Schuurmans; Marlos C. Machado Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: big world hypothesis; computational constraints; continual learning; reinforcement learning; algorithmic complexity
549	To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL Authors: Yuda Song; Dhruv Rohatgi; Aarti Singh; Drew Bagnell Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Partially Observable MDP; privileged expert distillation; learning to cheat; image-based RL; RL theory
550	Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning Authors: Sanghyun Ahn; Wonje Choi; Junyong Lee; Jinwoo Park; Honguk Woo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: neuro-symbolic; embodied task planning; large language model
551	Trajectory Graph Learning: Aligning with Long Trajectories in Reinforcement Learning Without Reward Design Authors: Yunfan Li; Eric Liu; Lin Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement Learning; Trajectory Alignment; Trajectory Graph Learning
552	A Implies B: Circuit Analysis in LLMs for Propositional Logical Reasoning Authors: Guan Zhe Hong; Nishanth Dikkala; Enming Luo; Cyrus Rashtchian; Xin Wang; Rina Panigrahy Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Mechanistic interpretability; circuit analysis; logical reasoning; propositional logic; large language model; transformer
553	A Principled Approach to Randomized Selection under Uncertainty: Applications to Peer Review and Grant Funding Authors: Alexander Koujianos Goldberg; Giulia Fanti; Nihar B Shah Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: peer review; randomized top-k selection; robust optimization; ranking; game theory
554	Abstract Rendering: Certified Rendering Under 3D Semantic Uncertainty Authors: Chenxi Ji; Yangge Li; Xiangru Zhong; Huan Zhang; Sayan Mitra Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Abstract Rendering; Certifiable Classification; Gaussian Splat; Neural Radiance Field; alpha-beta-CROWN
555	Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Authors: Zixuan Hu; Li Shen; Zhenyi Wang; Yongxian Wei; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Harmful fine-tuning; Large Language Models; Data schedule; Bayesian optimization
556	Among Us: A Sandbox for Measuring and Detecting Agentic Deception Authors: Satvik Golechha; Adrià Garriga-Alonso Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Deception; Social Games; AI Safety; Linear Probes; SAEs
557	Angular Steering: Behavior Control via Rotation in Activation Space Authors: Hieu M. Vu; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: language models; activation steering; representation engineering; mechanistic interpretability; alignment
558	Beyond Expectations: Quantile-Guided Alignment for Risk-Calibrated Language Models Authors: Xinran Wang; Jin Du; Azal Ahmad Khan; Qi Le; Enmao Diao; Jiawei Zhou; Jie Ding; Ali Anwar Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Alignment; Large language models
559	Bits Leaked per Query: Information-Theoretic Bounds for Adversarial Attacks on LLMs Authors: Masahiro Kaneko; Timothy Baldwin Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Large Language Models; Jailbreak attack; Security
560	CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D Authors: Francis Rhys Ward; Teun van der Weij; Hanna Gábor; Sam Martin; Raja Mehta Moreno; Harel Lidar; Louis Makower; Thomas Jodrell; Lauren Robson Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Sabotage Evaluations; Sandbagging; AI Control; AI Safety; AI Alignment; Dangerous Capability Evals
561	Can We Infer Confidential Properties of Training Data from LLMs? Authors: Pengrun Huang; Chhavi Yadav; Kamalika Chaudhuri; Ruihan Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: LLM; Data Confidentiality; Property Inference Attack; Privacy
562	Deep Value Benchmark: Measuring Whether Models Generalize Deep Values or Shallow Preferences Authors: Joshua Ashkinaze; Hua Shen; Sai Avula; Eric Gilbert; Ceren Budak Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: alignment; human values; human-computer interaction; ethics
563	Detecting Generated Images by Fitting Natural Image Distributions Authors: Yonggang Zhang; Jun Nie; Xinmei Tian; Mingming Gong; Kun Zhang; Bo Han Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Generative models; Generalization; Detection
564	Differential Privacy on Fully Dynamic Streams Authors: Yuan Qiu; Ke Yi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Differential Privacy; Linear Queries; Fully Dynamic Streams
565	Distillation Robustifies Unlearning Authors: Bruce W. Lee; Addie Foote; Alex Infanger; Leni Shor; Harish K Kamath; Jacob Goldman-Wetzler; Bryce Woodworth; Alex Cloud; Alexander Matt Turner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: machine unlearning; robust unlearning; relearning attacks; AI safety; alignment; distillation
566	Efficient Fairness-Performance Pareto Front Computation Authors: Mark Kozdoba; Binyamin Perets; Shie Mannor Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: fairness; fair representations; Pareto front; algorithmic fairness
567	ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets Authors: Bohdan Turbal; Iryna Voitsitska; Lesia Semenova Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Algorithmic recourse; Rashomon set; Model multiplicity; Counterfactual explanations; Robustness
568	Emergence and Evolution of Interpretable Concepts in Diffusion Models Authors: Berk Tinaz; Zalan Fabian; Mahdi Soltanolkotabi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: mechanistic interpretability; diffusion models; sparse autoencoders; controlled generation
569	ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space Authors: Chuanchao Zang; Xiangtao Meng; Wenyu Chen; Tianshuo Cong; Zha Yaxing; Dong Qi; Zheng Li; Shanqing Guo Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: LLM Intellectual Property Protection; LLM; LLM Safety; Error Space
570	Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment Authors: Woojun Kim; Katia P. Sycara Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Fairness; Cooperation; Mixed-Motive Games; Multi-agent Reinforcement Learning; Gradient adjustment
571	From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks Authors: Awa Khouna; Julien Ferry; Thibaut Vidal Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Model extraction attacks; Decision Trees; Counterfactual explanations; Competitive analysis
572	How Well Can Differential Privacy Be Audited in One Run? Authors: Amit Keinan; Moshe Shenfeld; Katrina Ligett Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: differential privacy; privacy auditing
573	Improved Representation Steering for Language Models Authors: Zhengxuan Wu; Qinan Yu; Aryaman Arora; Christopher D Manning; Christopher Potts Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: LLM Steering; Interpretability; Mechanistic Interpretability
574	Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration Authors: Thomas Decker; Volker Tresp; Florian Buettner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Explainable AI; Uncertainty Calibration; Perturbation-based Explanations
575	Inference-Time Reward Hacking in Large Language Models Authors: Hadi Khalaf; Claudio Mayrink Verdun; Alex Oesterling; Himabindu Lakkaraju; Flavio Calmon Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: reward hacking; large language models; inference time alignment; information theory
576	Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination Authors: Rakshit Trivedi; Kartik Sharma; David C. Parkes Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Imitation Learning; Inner Speech; Cognitive Processes; Diverse Behaviors; Steerable Imitation; Human Demonstrations; Human-AI coordination
577	Instance-Optimality for Private KL Distribution Estimation Authors: Jiayuan Ye; Vitaly Feldman; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Differential Privacy; Distribution Estimation; Instance-Optimality
578	MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems Authors: Xuanming Zhang; Yuxuan Chen; Samuel Yeh; Sharon Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: LLM; multi-agent system; social cognition
579	Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy Authors: Xiang Li; Chendi Wang; Buxin Su; Qi Long; Weijie J Su Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: f-Differential Privacy; Decentralized FL; Privacy–Utility Trade-off; Random Walks; Correlated noises
580	Online Strategic Classification With Noise and Partial Feedback Authors: Tianrun Zhao; Xiaojie Mao; Yong Liang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: strategic classification; online optimization; learning halfspaces with noise
581	Practical do-Shapley Explanations with Estimand-Agnostic Causal Inference Authors: Álvaro Parafita; Tomas Garriga; Axel Brando; Francisco J. Cazorla Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Shapley; Explainability; Causality; Attribution; SCM; Modeling
582	Privacy amplification by random allocation Authors: Moshe Shenfeld; Vitaly Feldman Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Differential Privacy; DP-SGD; subsampling; shuffling
583	Private Hyperparameter Tuning with Ex-Post Guarantee Authors: Badih Ghazi; Pritish Kamath; Alexander Knop; Ravi Kumar; Pasin Manurangsi; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: differential privacy; hyperparameter tuning; ex-post differential privacy; Renyi differential privacy
584	Private Set Union with Multiple Contributions Authors: Travis Dick; Haim Kaplan; Alex Kulesza; Uri Stemmer; Ziteng Sun; Ananda Theertha Suresh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Differential Privacy; Set Union; Partition Selection
585	Provable Gradient Editing of Deep Neural Networks Authors: Zhe Tao; Aditya V. Thakur Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Machine Learning; Deep Neural Network; Provable Editing; Explainable AI; Interpretability; Grad-CAM; Integrated Gradients
586	ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs Authors: Landon Butler; Abhineet Agarwal; Justin Singh Kang; Yigit Efe Erginbas; Bin Yu; Kannan Ramchandran Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Interpretability; Signal Processing; Hierarchy; SHAP; Interactions
587	Purifying Approximate Differential Privacy with Randomized Post-processing Authors: Yingyu Lin; Erchi Wang; Yian Ma; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Differential Privacy; approximate DP to Pure DP conversion; Empirical Risk Minimization
588	Ridge Boosting is Both Robust and Efficient Authors: David Bruns-Smith; Zhongming Xie; Avi Feller Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Multiaccuracy; Semiparametric efficiency; Covariate shift
589	Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models Authors: Junhao Dong; Cong Zhang; Xinghua Qu; Zejun MA; Piotr Koniusz; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Superalignment; weak-to-strong generalization; sdversarial robustness; vision-language model
590	SHAP values via sparse Fourier representation Authors: Ali Gorji; Andisheh Amrollahi; Andreas Krause Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: SHAP; Interpretability; XAI; Fourier
591	SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning Authors: Borong Zhang; Yuhao Zhang; Jiaming Ji; Yingshan Lei; Josef Dai; Yuanpei Chen; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Vision-Language-Action Models; Safety Alignment; Large-Scale Constrained Learning
592	Scalable Fingerprinting of Large Language Models Authors: Anshul Nasery; Jonathan Hayase; Creston Brooks; Peiyao Sheng; Himanshu Tyagi; Pramod Viswanath; Sewoong Oh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: fingerprinting; model sharing; security; memorization
593	Scaling Laws For Scalable Oversight Authors: Joshua Engels; David D. Baek; Subhash Kantamneni; Max Tegmark Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Scalable Oversight; AI Alignment; AI safety
594	Selective Omniprediction and Fair Abstention Authors: Sílvia Casacuberta; Varun Kanade Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Selective classification; Learning to abstain; Multicalibration; Omniprediction; Conformal prediction
595	Sketched Gaussian Mechanism for Private Federated Learning Authors: Qiaobo Li; Zhijie Chen; Arindam Banerjee Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Federated Learning; Differential Privacy; Sketching; Communication Efficiency; Adaptive Optimizer
596	Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness Authors: Mojtaba Kolahdouzi; Hatice Gunes; Ali Etemad Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Group fairness; Optimization; Stochastic differential equations
597	Strategic Costs of Perceived Bias in Fair Selection Authors: L. Elisa Celis; Lingxiao Huang; Milind Sohoni; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Meritocratic selection; Strategic effort; Game-theoretic modeling; Perceived valuation bias; Algorithmic fairness; Social feedback loops; Representation and ef…
598	Strategic Hypothesis Testing Authors: Yatong Chen; Safwan Hossain; Yiling Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Stackelberg Game; Hypothesis Testing; Strategic Machine Learning; Game Theory
599	The Hawthorne Effect in Reasoning Models: Evaluating and Steering Test Awareness Authors: Sahar Abdelnabi; Ahmed Salem Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Model awareness; test awareness; evaluation awareness; steering
600	The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability? Authors: Denis Sutter; Julian Minder; Thomas Hofmann; Tiago Pimentel Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: interpretability; mechanistic interpretability; causal alignment; distributed alignment search; linear representation hypothesis
601	TokenSwap: A Lightweight Method to Disrupt Memorized Sequences in LLMs Authors: Parjanya Prajakta Prashant; Kaustubh Ponkshe; Babak Salimi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: language models; memorization; copyright; privacy; alignment
602	Transferable Black-Box One-Shot Forging of Watermarks via Image Preference Models Authors: Tomas Soucek; Sylvestre-Alvise Rebuffi; Pierre Fernandez; Nikola Jovanović; Hady Elsahar; Valeriu Lacatusu; Tuan A. Tran; Alexandre Mourachko Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: image watermarking; watermark forging
603	Transferring Linear Features Across Language Models With Model Stitching Authors: Alan Chen; Jack Merullo; Alessandro Stolfo; Ellie Pavlick Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: LLMs; interpretability; linear features; sparse autoencoders; universality
604	Transstratal Adversarial Attack: Compromising Multi-Layered Defenses in Text-to-Image Models Authors: Chunlong Xie; Kangjie Chen; Shangwei Guo; Shudong Zhang; Tianwei Zhang; Tao Xiang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Text-to-Image; Adversarial Attack; NSFW; Multi-Layered Defense
605	Unifying Proportional Fairness in Centroid and Non-Centroid Clustering Authors: Benjamin Cookson; Nisarg Shah; Ziqi Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Proportional Fairness; Clustering; Algorithmic Fairness
606	Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Authors: Mantas Mazeika; Xuwang Yin; Rishub Tamirisa; Jaehyuk Lim; Bruce W. Lee; Richard Ren; Long Phan; Norman Mu; Oliver Zhang; Dan Hendrycks Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: AI safety; ML safety; machine ethics; representation engineering; RepE; emergence; values; utility
607	Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data Authors: Zi Liang; Qingqing Ye; Xuan Liu; Yanyun Wang; Jianliang Xu; Haibo Hu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Data Poisoning; Synthetic Data; Large Language Models
608	Why Do Some Language Models Fake Alignment While Others Don't? Authors: Abhay Sheshadri; John Hughes; Julian Michael; Alex Troy Mallen; Arun Jose; Fabien Roger Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Spotlight Keywords: Large Language Models; Alignment; Alignment faking; Safety
609	A Principled Path to Fitted Distributional Evaluation Authors: Sungee Hong; Jiayi Wang; Zhengling Qi; Raymond K. W. Wong Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: distributional reinforcement learning; fitted-q evaluation; off-policy evaluation
610	Accelerating data-driven algorithm selection for combinatorial partitioning problems Authors: Vaggos Chatziafratis; Ishani Karmarkar; Yingxi Li; Ellen Vitercik Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: data-driven algorithm selection; sub-sampling; clustering; max-cut; Goemans-williamson
611	Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees Authors: Sangwoo Park; Matteo Zecchin; Osvaldo Simeone Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: AutoEval; LLM judge; game-theoretic statistics; hypothesis testing; semi-supervised inference; prediction-powered inference
612	Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness Authors: Bogdan Chornomaz; Yonatan Koren; Shay Moran; Tom Waknine Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Learning theorey; Data Poisoning
613	Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models Authors: Ilias Diakonikolas; Giannis Iakovidis; Daniel Kane; Lisheng Ren Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: learning theory; PAC learning; agnostic learning; multi-index models; Statistical Query model
614	An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion Models Authors: Binxu Wang; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Spectral bias; analytical theory; learning dynamics; diffusion; flow matching; deep linear network
615	Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs Authors: Mehran Shakerinava; Siamak Ravanbakhsh; Adam Oberman Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: expected utility theory; lexicographic expected utility; lexicographic MDP; axiomatic framework; reward hypothesis; reinforcement learning theory
616	Blameless Users in a Clean Room: Defining Copyright Protection for Generative Models Authors: Aloni Cohen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: copyright; generative models; law; definitions; AI and law; differential privacy
617	Clustering via Hedonic Games: New Concepts and Algorithms Authors: Gergely Csáji; Alexander Gundert; Jörg Rothe; Ildikó Schlotter Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: graphical hedonic games; coalition formation; clustering; popularity; community detection
618	CoT Information: Improved Sample Complexity under Chain-of-Thought Supervision Authors: Awni Altabaa; Omar Montasser; John Lafferty Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: chain-of-thought; learning theory; statistical learning theory; PAC learning; sample complexity
619	Comparator-Adaptive $\Phi$-Regret: Improved Bounds, Simpler Algorithms, and Applications to Games Authors: Soumita Hait; Ping Li; Haipeng Luo; Mengxiao Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Swap Regret; $\Phi$-Regret; Learning in Games
620	Computational Efficiency under Covariate Shift in Kernel Ridge Regression Authors: Andrea Della Vecchia; Arnaud Mavakala Watusadisi; Ernesto De Vito; Lorenzo Rosasco Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: statistical learning theory; kernel methods; covariate shift; random projections
621	Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning Authors: Dravyansh Sharma; Alec Sun Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: PAC learning; online learning; sample complexity; learning with agents
622	Convergence Rates of Constrained Expected Improvement Authors: Haowei Wang; Jingyi Wang; Zhongxiang Dai; Nai-Yuan Chiang; Szu Hui Ng; Cosmin G. Petra Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Bayesian optimization; constrained Bayesian optimization; constrained expected improvement; simple regret; convergence analysis
623	Curl Descent : Non-Gradient Learning Dynamics with Sign-Diverse Plasticity Authors: Hugo Ninou; Jonathan Kadmon; N Alex Cayco Gajic Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: learning dynamics; non-gradient; learning rules; Hebbian; plasticity; anti-Hebbian; Excitatory-inhibitory; biologically plausible; biological networks; theoret…
624	Depth-Width Tradeoffs for Transformers on Graph Tasks Authors: Gilad Yehudai; Clayton Sanford; Maya Bechler-Speicher; Orr Fischer; Ran Gilad-Bachrach; Amir Globerson Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Learning theory; graph transformers; expressiveness; self-attention
625	Dimension-adapted Momentum Outscales SGD Authors: Damien Ferbach; Katie Everett; Gauthier Gidel; Elliot Paquette; Courtney Paquette Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: power-law random features; scaling laws; momentum; random matrix theory; acceleration; stochastic optimization; compute-optimal
626	Distributional Training Data Attribution: What do Influence Functions Sample? Authors: Bruno Kacper Mlodozeniec; Isaac Reid; Samuel Power; David Krueger; Murat A Erdogdu; Richard E. Turner; Roger Baker Grosse Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: influence functions; data attribution; training data attribution; unrolled differentiation; deep learning theory
627	Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm Authors: Konstantin Makarychev; Ilias Papanikolaou; Liren Shan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Explainable Clustering; k-medians; Decision Tree
628	Eluder dimension: localise it! Authors: Alireza Bakhtiari; Alex Ayoub; Samuel McLaughlin Robertson; David Janz; Csaba Szepesvari Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: eluder dimension; bandits; reinforcement learning
629	Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses Authors: Yuzhou Cao; Han Bao; Lei Feng; Bo An Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Surrogate regret bounds; Excess risk bounds; Fenchel-Young losses
630	Exploration via Feature Perturbation in Contextual Bandits Authors: Seouh-won Yi; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Generalized Linear Bandits; Contextual Bandits; Thompson Sampling; Feature Perturbation
631	From Shortcut to Induction Head: How Data Diversity Shapes Algorithm Selection in Transformers Authors: Ryotaro Kawata; Yujin Song; Alberto Bietti; Naoki Nishikawa; Taiji Suzuki; Samuel Vaiter; Denny Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Transformers; induction head; training dynamics
632	Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules Authors: Binghui Li; Fengling Chen; Zixun Huang; Lean Wang; Lei Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Scaling Laws; Learning Rate Schedule; Kernel Regression; LLM Pre-Training; Loss Dynamics
633	Generalized Top-k Mallows Model for Ranked Choices Authors: Shahrzad Haddadan; Sara Ahmadian Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Mallows Model; choice modeling; top-k sampling
634	Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts Authors: Benjamin Schiffer; Mark Sellke Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Multi-armed bandits; Bayesian Incentive Compatible; Exploration
635	Go With the Flow: Fast Diffusion for Gaussian Mixture Models Authors: George Rapakoulias; Ali Reza Pedram; Fengjiao Liu; Lingjiong Zhu; Panagiotis Tsiotras Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Schrodinger Bridge problem; Optimal transport
636	Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data Authors: Chen Fan; Mark Schmidt; Christos Thrampoulidis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Implicit Bias; Implicit Regularization; Muon; Spectral Descent; Adam; Multiclass
637	Improved Bounds for Swap Multicalibration and Swap Omniprediction Authors: Haipeng Luo; Spandan Senapati; Vatsal Sharan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: (Swap) Multicalibration; (Swap) Omniprediction; (Swap) Agnostic Learning; Contextual Swap Regret
638	Is Grokking a Computational Glass Relaxation? Authors: Xiaotian Zhang; Yue Shang; Entao Yang; Ge Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: grokking; entropy; generalization; glass
639	Is the acquisition worth the cost? Surrogate losses for Consistent Two-stage Classifiers Authors: Florence Regol; Joseph Cotnareanu; Theodore Glavas; Mark Coates Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: consistency; dynamic networks; learning to defer
640	Low-degree evidence for computational transition of recovery rate in stochastic block model Authors: Jingqiu Ding; Yiding Hua; Lucas Slot; David Steurer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: low-degree lower bound; stochastic block model; computational complexity
641	Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Authors: Emile Timothy Anand; Ishani Karmarkar; Guannan Qu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: multi-agent reinforcement learning; mean-field RL; online decision making; sampling theory; large-scale systems
642	Minimax-Optimal Univariate Function Selection in Sparse Additive Models: Rates, Adaptation, and the Estimation-Selection Gap Authors: Shixiang Liu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: sparse additive model; variable selection; minimax separation rate; FDR + FNR control; Hamming loss control
643	Multi-Agent Learning under Uncertainty: Recurrence vs. Concentration Authors: Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos; Jose Blanchet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: game theory; Nash equilibrium; uncertainty; regularized learning
644	Multidimensional Bayesian Utility Maximization: Tight Approximations to Welfare Authors: Kira Goldner; Taylor Lundy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: ordeals; money burning; utility maximization; approximation
645	Non-Asymptotic Analysis Of Data Augmentation For Precision Matrix Estimation Authors: Lucas Morisset; Adrien Hardy; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Data Augmentation; Precision Matrix; High Dimensional Statistics; Random Matrix Theory
646	Non-Clairvoyant Scheduling with Progress Bars Authors: Ziyad Benomar; Romain Cosson; Alexander Lindermayr; Jens Schlöter Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: online algorithms; competitive analysis; scheduling; algorithms with predictions; non-clairvoyance
647	Nonlinear Laplacians: Tunable principal component analysis under directional prior information Authors: Yuxin Ma; Dmitriy Kunisky Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: principal component analysis; random matrix theory; spiked matrix models; low-rank estimation
648	On Agnostic PAC Learning in the Small Error Regime Authors: Julian Asilis; Mikael Møller Høgsgaard; Grigoris Velegkas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: PAC learning; statistical learning; agnostic learning; supervised learning
649	On Traceability in $\ell_p$ Stochastic Convex Optimization Authors: Sasha Voitovych; Mahdi Haghifam; Idan Attias; Gintare Karolina Dziugaite; Roi Livni; Daniel M. Roy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: generalization theory; differential privacy; learning theory
650	On Transferring Transferability: Towards a Theory for Size Generalization Authors: Eitan Levin; Yuxin Ma; Mateo Diaz Diaz; Soledad Villar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: transferability; size generalization; graph neural networks; equivariant machine learning; any-dimensional learning
651	On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks Authors: Mingze Wang; Weinan E Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: mixture-of-experts; expressive power; approximation rate; compositional sparsity; low-dimensional manifold
652	On the Universal Near Optimality of Hedge in Combinatorial Settings Authors: Zhiyuan Fan; Arnab Maiti; Lillian J. Ratliff; Kevin Jamieson; Gabriele Farina Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Online learning; Hedge algorithm; Regret minimization; Combinatorial Games; Directed Acyclic Graphs; Dilated entropy; Online Mirror Descent
653	On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls Authors: Emmeran Johnson; David Martínez-Rubio; Ciara Pike-Burke; Patrick Rebeschini Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: OCO; lp-balls; high-dimension
654	On the sample complexity of semi-supervised multi-objective learning Authors: Tobias Wegel; Geelon So; Junhyung Park; Fanny Yang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: multi-objective learning; statistical learning; optimization
655	Online Prediction with Limited Selectivity Authors: Licheng Liu; Mingda Qiao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Online prediction; selective prediction
656	Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling Authors: Yufan Li; Pragya Sur Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: High dimensional statistics
657	Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems Authors: Lorenzo Baldassari; Josselin Garnier; Knut Solna; Maarten V. de Hoop Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: theory; score-based generative models; error analysis; hilbert space; langevin dynamics; preconditioning
658	Product Distribution Learning with Imperfect Advice Authors: Arnab Bhattacharyya; Davin Choo; Philips George John; Themis Gouleakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: distribution learning; statistics; algorithms; sample complexity
659	Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation Authors: Toshinori Kitamura; Arnob Ghosh; Tadashi Kozuno; Wataru Kumagai; Kazumi Kasaura; Kenta Hoshino; Yohei Hosoe; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Reinforcement Learning Theory
660	Reconstruction and Secrecy under Approximate Distance Queries Authors: Shay Moran; Elizaveta Nesterova Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Learning Theory; Active Learning; Similarity and Distance Learning; Information Theory; Privacy
661	Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses Authors: Deheng Yuan; Tao Guo; Zhongyi Huang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Distributed estimation; distribution learning; communication constraints; distributed algorithms; optimal rate of convergence.
662	Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback Authors: Orin Levy; Liad Erez; Alon Cohen; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Regret; Bandits; Contextual Bandits; Delayed Feedback; Function Approximation
663	Regularized least squares learning with heavy-tailed noise is minimax optimal Authors: Mattes Mollenhauer; Nicole Mücke; Dimitri Meunier; Arthur Gretton Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: kernel methods; nonparametric regression; kernel ridge regression
664	Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach Authors: Chenbei Lu; Zaiwei Chen; Tongxin Li; Chenye Wu; Adam Wierman Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Reinforcement Learning; Markov Decision Processes; Transition Prediction; Bellman-Jensen Gap; Sample Complexity
665	Replicable Distribution Testing Authors: Ilias Diakonikolas; Jingyi Gao; Daniel Kane; Sihan Liu; Christopher Ye Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Replicability; Distribution Testing
666	Robust learning of halfspaces under log-concave marginals Authors: Jane Lange; Arsen Vasilyan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: adversarial robustness; linear classifiers; agnostic learning
667	Sample-Adaptivity Tradeoff in On-Demand Sampling Authors: Nika Haghtalab; Omar Montasser; Mingda Qiao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: On-demand sampling; multi-distribution learning; adaptivity
668	Sharp Gaussian approximations for Decentralized Federated Learning Authors: Soham Bonnerjee; Sayar Karmakar; Wei Biao Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Federated Learning; Distributed Systems; SGD; Gaussian approximation
669	Simultaneous Swap Regret Minimization via KL-Calibration Authors: Haipeng Luo; Spandan Senapati; Vatsal Sharan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Calibration; KL-Calibration; Swap Regret
670	Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics Authors: Deep Patel; Emmanouil-Vasileios Vlatakis-Gkaragkounis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: game theory; min-max optimization; neural networks; learning theory
671	Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping Authors: Pu Yang; Yunzhen Feng; Ziyuan Chen; Yuhang Wu; Zhuoyuan Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: synthetic data; self supervised fine-tuning; iterative learning; boostrapping; budget allocation
672	Streaming Attention Approximation via Discrepancy Theory Authors: Ekaterina Kochetkova; Kshiteej Sheth; Insu Han; Amir Zandieh; Michael Kapralov Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Attention approximation; Long-context Attention; Large Language Models; Discrepancy theory; Self-Balancing Walk
673	Tackling Biased Evaluators in Dueling Bandits Authors: Ming Tang; Yuxuan Zhou; Chao Huang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Dueling Bandits; Evaluation Bias
674	Temperature is All You Need for Generalization in Langevin Dynamics and other Markov Processes Authors: Itamar Harel; Yonathan Wolanowsky; Gal Vardi; Nathan Srebro; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Generalization; Langevin dynamics; deep learning
675	The Complexity of Symmetric Equilibria in Min-Max Optimization and Team Zero-Sum Games Authors: Ioannis Anagnostides; Ioannis Panageas; Tuomas Sandholm; Jingming Yan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: min-max optimization; adversarial team games; PPAD; CLS
676	The Generative Leap: Tight Sample Complexity for Efficiently Learning Gaussian Multi-Index Models Authors: Alex Damian; Jason D. Lee; Joan Bruna Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Multi-Index Models; Low-Degree Polynomials; Computational-Statistical Gaps
677	The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Authors: Hoang Pham; The-Anh Ta; Tom Jacobs; Rebekka Burkholz; Long Tran-Thanh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Pruning Network; Graphon; Neural Tangent Kernel
678	The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels Authors: Yonatan Slutzky; Yotam Alexander; Noam Razin; Nadav Cohen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Neural Networks; Structured State Space Models; Generalization; Adversarial Machine Learning
679	The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination Authors: Adam Klivans; Konstantinos Stavropoulos; Kevin Tian; Arsen Vasilyan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: robust learning; malicious noise; contamination; outlier removal
680	Tight Generalization Bounds for Large-Margin Halfspaces Authors: Kasper Green Larsen; Natascha Schalburg Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Learning theory; Generalization Bounds; Large-Margin Halfspaces; Rademacher complexity
681	Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning Authors: Idan Attias; Steve Hanneke; Arvind Ramaswami Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Online Learning; Transductive Online Learning; Oracles
682	Understanding LLM Behaviors via Compression: Data Generation, Knowledge Acquisition and Scaling Laws Authors: Zhixuan Pan; Shaowen Wang; Liao Pengfei; Jian Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Large Language Model; Scaling Law; Information Theory
683	Understanding Prompt Tuning and In-Context Learning via Meta-Learning Authors: Tim Genewein; Li Kevin Wenliang; Jordi Grau-Moya; Anian Ruoss; Laurent Orseau; Marcus Hutter Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: prompting; prefix tuning; in-context learning; meta-learning; Bayes; frontier model
684	Unveiling the Power of Multiple Gossip Steps: A Stability-Based Generalization Analysis in Decentralized Training Authors: Qinglun Li; Yingqi Liu; Miao Zhang; Xiaochun Cao; Quanjun Yin; Li Shen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: stability and generalization; DSGD; Multiple Gossip Steps; generalization error; excess error
685	What Expressivity Theory Misses: Message Passing Complexity for GNNs Authors: Niklas Kemper; Tom Wollschläger; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: gnn; mpnn; expressivity; theory; complexity; message passing; over-squashing; under-reaching; over-smoothing; WL; practice; higher-order
686	Which Algorithms Have Tight Generalization Bounds? Authors: Michael Gastpar; Ido Nachum; Jonathan Shafer; Thomas Weinberger Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: learning theory
687	⁠When Data Can't Meet: Estimating Correlation Across Privacy Barriers Authors: Abhinav Chakraborty; Arnab Auddy; T. Tony Cai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: differential privacy; distributed data; minimax optimality
688	ControlFusion: A Controllable Image Fusion Network with Language-Vision Degradation Prompts Authors: Linfeng Tang; Yeda Wang; Zhanchuan Cai; Junjun Jiang; Jiayi Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Image fusion; multimodal images; degradation
689	Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation Authors: Zihan Wang; Seungjun Lee; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Vision-and-Language Navigation; 3D Vision-Language Model
690	HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models Authors: Zelin Peng; Zhengqin Xu; Qingyang Liu; Xiaokang Yang; Wei Shen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Efficient Training; Multi-modal Large Language Models; Granularity Levels; Hyperbolic Space
691	Interactive Cross-modal Learning for Text-3D Scene Retrieval Authors: Yanglin Feng; Yongxiang Li; Yuan Sun; Yang Qin; Dezhong Peng; Peng Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Cross-modal retrieval; interactive retrieval; large language model
692	OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model Authors: Zhenhao Zhang; Ye Shi; Lingxiao Yang; Suting Ni; Qi Ye; Jingya Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Hand-Object Interaction; Open-World; Large Language Models
693	QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training Authors: Wei Dai; Peilin Chen; Chanakya Ekbote; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: machine learning; healthcare; reinforcement learning; multimodal learning; AI for healthcare; clinical AI; time series modeling; natural language processing
694	SAGE: A Unified Framework for Generalizable Object State Recognition with State-Action Graph Embedding Authors: Yuan Zang; Zitian Tang; Junho Cho; Jaewook Yoo; Chen Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Object State Recognition; Graph Embeddings; Video Understanding
695	SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing Authors: Mingfei Chen; Zijun Cui; Xiulong Liu; Jinlin Xiang; Caleb Zheng; Jingyuan Li; Eli Shlizerman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Audio-Visual; 3D Spatial Reasoning; Multi-modal LLMs; Audio-Visual QA
696	A multiscale analysis of mean-field transformers in the moderate interaction regime Authors: Giuseppe Bruno; Federico Pasqualotto; Andrea Agazzi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: mean-field limits; moderate interaction; mean-field transformers; self-attention models; clustering; multiscale
697	Advancing Expert Specialization for Better MoE Authors: Hongcan Guo; Haolang Lu; Guoshun Nan; Bolun Chu; Jialin Zhuang; Yuan Yang; Wenhao Che; Xinye Cao; Sicong Leng; Qimei Cui; Xudong Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Mixture of Experts; Load Balancing; Optimization; Supervised Fine-Tuning
698	Auto-Compressing Networks Authors: Vaggelis Dorovatas; Georgios Paraskevopoulos; Alexandros Potamianos Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: deep learning architectures; representation learning; residual connections; continual learning
699	Boosting Knowledge Utilization in Multimodal Large Language Models via Adaptive Logits Fusion and Attention Reallocation Authors: Wenbin An; Jiahao Nie; Feng Tian; Haonan Lin; mingxiang cai; Yaqiang Wu; QianYing Wang; Xiaoqin Zhang; Shijian Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Multimodal Large Language Models; Multimodal Retrieval Augmented Generation
700	Deep Compositional Phase Diffusion for Long Motion Sequence Generation Authors: Ho Yin Au; Jie Chen; Junkun Jiang; Jingyu Xiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Motion Generation; Phase Autoencoder; Long Term Motion Sequence Generation; Motion Inbetweening
701	Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? Authors: Yang Yue; Zhiqi Chen; Rui Lu; Andrew Zhao; Zhaokai Wang; Yang Yue; Shiji Song; Gao Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: reinforcement learning with verifiable reward; LLM reasoning
702	Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks Authors: Steffen Schotthöfer; H. Lexie Yang; Stefan Schnake Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Low Rank; Adversarial Robustenss; Adversarial Attacks; Rank Adaptive; Computer Vision; Compression
703	Exploring Diffusion Transformer Designs via Grafting Authors: Keshigeyan Chandrasegaran; Michael Poli; Daniel Y Fu; Dongjun Kim; Lea M. Hadzic; Manling Li; Agrim Gupta; Stefano Massaroli; Azalia Mirhoseini; Juan Carlos Niebles; Stefano Ermon… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Diffusion Transformers; Model Grafting; Architectural Editing; Hybrid Models
704	From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics Authors: Zheng-An Chen; Tao Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Two-stage analysis; Training dynamics of transformers; Condensation; Small initialization
705	Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free Authors: Zihan Qiu; Zekun Wang; Bo Zheng; Zeyu Huang; Kaiyue Wen; Songlin Yang; Rui Men; Le Yu; Fei Huang; Suozhi Huang; Dayiheng Liu; Jingren Zhou; Junyang Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Attention; Large Language Model; Gating
706	Generalized Linear Mode Connectivity for Transformers Authors: Alexander Theus; Alessandro Cabodi; Sotiris Anagnostidis; Antonio Orvieto; Sidak Pal Singh; Valentina Boeva Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Neural Network Merging; Linear Mode Connectivity; Model Re-basin; Parameter Space Geometry; Transformer; Permutation Invariance; Model Fusion
707	In Search of Adam’s Secret Sauce Authors: Antonio Orvieto; Robert M. Gower Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Adam; Language Models; Transformers; Adaptive Methods; Optimization
708	InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation Authors: Jinlai Liu; Jian Han; Bin Yan; Wuhui; Fengda Zhu; Xing Wang; Yi Jiang; BINGYUE PENG; Zehuan Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Visual Synthesis; Visual AutoRegressive Modeling; Text to Video Generation; Generative models
709	KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction Authors: Jang-Hyun Kim; Jinuk Kim; Sangwoo Kwon; Jae W. Lee; Sangdoo Yun; Hyun Oh Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Large Language Models; Efficient Inference; Long-Context Processing; KV Cache Compression
710	Large Language Diffusion Models Authors: Shen Nie; Fengqi Zhu; Zebin You; Xiaolu Zhang; Jingyang Ou; Jun Hu; JUN ZHOU; Yankai Lin; Ji-Rong Wen; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: diffusion language models; large language models; masked diffusion models; discrete diffusion models; diffusion models
711	Learning (Approximately) Equivariant Networks via Constrained Optimization Authors: Andrei Manolache; Luiz F. O. Chamon; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: approximate; equivariant; networks; constrained; optimization
712	MaxSup: Overcoming Representation Collapse in Label Smoothing Authors: Yuxuan Zhou; Heng Li; Zhi-Qi Cheng; Xudong Yan; Yifei Dong; Mario Fritz; Margret Keuper Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Label Smoothing; Representation Collapse; Loss Decomposition; Error Amplification; Regularization
713	Mean Flows for One-step Generative Modeling Authors: Zhengyang Geng; Mingyang Deng; Xingjian Bai; J Zico Kolter; Kaiming He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Generative Models
714	Memory Mosaics at scale Authors: Jianyu Zhang; Leon Bottou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: In-context learning; memory mosaics
715	MokA: Multimodal Low-Rank Adaptation for MLLMs Authors: Yake Wei; Yu Miao; Dongzhan Zhou; Di Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Multimodal; MLLMs; PEFT; fune-tuning
716	On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity Authors: Quentin Bertrand; Anne Gagneux; Mathurin Massias; Rémi Emonet Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: flow matching; generalization; memorization
717	Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables Authors: Zhongnan Cai; Yingying Wang; Hui Zheng; Panwang Pan; ZiXu Lin; Ge Meng; Chenxin Li; Chunming He; Jiaxin Xie; Yunlong Lin; Junbin Lu; Yue Huang; Xinghao Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Look-Up Table; Pan-sharpening
718	Perception Encoder: The best visual embeddings are not at the output of the network Authors: Daniel Bolya; Po-Yao Huang; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei; Tengyu Ma; Jiale Zhi; Jathushan Rajasegaran; Hanoona Abdul Rasheed; Junke Wang; Marco Monteiro; Hu… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: vision encoder; vision-language; CLIP; pretraining; features; foundation model
719	PhySense: Sensor Placement Optimization for Accurate Physics Sensing Authors: Yuezhou Ma; Haixu Wu; Hang Zhou; Huikun Weng; Jianmin Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Physics sensing; sensor placement; flow models
720	PlayerOne: Egocentric World Simulator Authors: Yuanpeng Tu; Hao Luo; Xi Chen; Xiang Bai; Fan Wang; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Video generation; World model; Egocentric understanding
721	RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation Authors: Xingliang Wang; Zemin Liu; Junxiao Han; Shuiguang Deng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Graph Foundation Model; Retrieval-Augmented Generation; Graph Index; Graph Repersentation Learning
722	Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think Authors: Ge Wu; Shen Zhang; Ruijing Shi; Shanghua Gao; Zhenyuan Chen; Lei Wang; Zhaowei Chen; Hongcheng Gao; Yao Tang; jian Yang; Ming-Ming Cheng; Xiang Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Diffusion Model Acceleration; Representation Entanglement; Diffusion Transformers
723	Rethinking Multimodal Learning from the Perspective of Mitigating Classification Ability Disproportion Authors: Qing-Yuan Jiang; Longfei Huang; Yang Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Multimodal Leanring; Modality Imbalance.
724	Superposition Yields Robust Neural Scaling Authors: Yizhou Liu; Ziming Liu; Jeff Gore Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: LLM; superposition; neural scaling law
725	The emergence of sparse attention: impact of data distribution and benefits of repetition Authors: Nicolas Zucchet; Francesco D'Angelo; Andrew Kyle Lampinen; Stephanie C.Y. Chan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: emergence; sparse attention; in-context learning; induction head
726	Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference Authors: Jiayi Yuan; Hao Li; Xinheng Ding; Wenya Xie; Yu-Jhe Li; Wentian Zhao; Kun Wan; Jing Shi; Xia Hu; Zirui Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Large Language Models (LLMs); Reproducibility; Numerical precision; Deterministic inference
727	Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training Authors: Tony Bonnaire; Raphaël Urfin; Giulio Biroli; Marc Mezard Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Diffusion Models; Deep Learning; Probabilistic Methods
728	EvoLM: In Search of Lost Training Dynamics for Language Model Reasoning Authors: Zhenting Qi; Fan Nie; Alexandre Alahi; James Zou; Himabindu Lakkaraju; Yilun Du; Eric P. Xing; Sham M. Kakade; Hanlin Zhang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Oral Keywords: Language Models; Training Dynamics; Pretraining; Post-training
729	ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression Authors: Tom Burgert; Oliver Stoll; Paolo Rota; Begüm Demir Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Oral Keywords: texture bias; feature reliance; shape vs. texture; model interpretability
730	1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Authors: Kevin Wang; Ishaan Javali; Michał Bortkiewicz; Tomasz Trzcinski; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Reinforcement Learning; Self-Supervised Learning; Contrastive RL; Goal-conditioned RL; Scaling
731	Class-wise Balancing Data Replay for Federated Class-Incremental Learning Authors: Zhuang Qi; Ying-Peng Tang; Lei Meng; Han Yu; Xiaoxiao Li; Xiangxu Meng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Federated Learning; Federated Class-Incremental Learning; Data Replay
732	Learning to Learn with Contrastive Meta-Objective Authors: Shiguang Wu; Yaqing Wang; Yatao Bian; Quanming Yao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Meta-Learning; Contrastive Learning
733	Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation Authors: Wei Wang; Haifeng Xia; Chao Huang; Zhengming Ding; Cong Wang; Haojie Li; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: domain adaptation; JMMD; HSIC; feature discrimination; graph embedding
734	ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism Authors: Zedong Liu; Shenggan Cheng; Guangming Tan; Yang You; Dingwen Tao Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Oral Keywords: Hardware and Systems; Efficient Inference Methods; Distributed Inference; Visual Question Answering
735	FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution Authors: Qiusheng Huang; Yuan Niu; Xiaohui Zhong; AnboyuGuo; Lei Chen; dianjun zhang; Xuefeng Zhang; Hao Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Oral Keywords: AI For Science; Ocean Forecast System; Weather Forecast; Deep Learning
736	Learning long range dependencies through time reversal symmetry breaking Authors: Guillaume Pourcel; Maxence Ernoult Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Oral Keywords: physical learning; continuous adjoint method; temporal credit assignment; Hamiltonian systems; analog computing; training algorithms; state space models
737	TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability Authors: Tonglong Wei; Yan Lin; Zeyu Zhou; Haomin Wen; Jilin Hu; Shengnan Guo; Youfang Lin; Gao Cong; Huaiyu Wan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Oral Keywords: Spatio-temporal data mining; trajectory data mining; vehicle trajectory learning
738	High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model Authors: Valentin Schmutz; Ali Haydaroğlu; Shuqi Wang; Yixiao Feng; Matteo Carandini; Kenneth D. Harris Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Oral Keywords: recurrent neural networks; neuronal recordings; visual cortex; latent variable models; PCA; eigenvalue decay; mean-field limit
739	Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain Authors: Trinity Chung; Yuchen Shen; Nathan Kong; Aran Nayebi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Oral Keywords: NeuroAI; Temporal Neural Networks; Tactile Perception; Somatosensory Cortex
740	Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions Authors: Zhaoxian Wu; Quan Xiao; Tayfun Gokmen; Omobayode Fagbohungbe; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Analog AI; in-memory computing; stochastic gradient descent; stochastic optimization
741	Generalized Gradient Norm Clipping & Non-Euclidean $(L_0,L_1)$-Smoothness Authors: Thomas Pethick; Wanyun Xie; Mete Erdogan; Kimon Antonakopoulos; Tony Silveti-Falls; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: Non-Euclidean; Frank-Wolfe; deep learning; clipping
742	Adjoint Schrödinger Bridge Sampler Authors: Guan-Horng Liu; Jaemoo Choi; Yongxin Chen; Benjamin Kurt Miller; Ricky T. Q. Chen Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Oral Keywords: Boltzmann distribution; diffusion sampler; Schrödinger bridge
743	A Clean Slate for Offline Reinforcement Learning Authors: Matthew Thomas Jackson; Uljad Berdica; Jarek Luca Liesen; Shimon Whiteson; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: Offline Reinforcement Learning; Evaluation; Open-Source
744	Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks Authors: Korneel Van den Berghe; Stein Stroobants; Vijay Janapa Reddi; Guido De Croon Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: Neuromorphics; Spiking Neural Networks; Reinforcement Learning; Surrogate Gradients; Robotics; Sequential; Temporal
745	Breaking the Performance Ceiling in Reinforcement Learning requires Inference Strategies Authors: Felix Chalumeau; Daniel Rajaonarivonivelomanantsoa; Ruan John de Kock; Juan Claude Formanek; Sasha Abramowitz; Omayma Mahjoub; Wiem Khlifi; Simon Verster Du Toit; Louay Ben Nessir… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: reinforcement learning; inference strategies; complex decision-making
746	PRIMT: Preference-based Reinforcement Learning with Multimodal Feedback and Trajectory Synthesis from Foundation Models Authors: Ruiqi Wang; Dezhong Zhao; Ziqin Yuan; Tianyu Shao; Guohua Chen; Dominic Kao; Sungeun Hong; Byung-Cheol Min Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: Preference-based Reinforcement Learning; Foundation Models for Robotics; Neuro-Symbolic Fusion; Multimodal Feedback; Causal Inference; Trajectory Synthesis; Ro…
747	State Entropy Regularization for Robust Reinforcement Learning Authors: Yonatan Ashlag; Uri Koren; Mirco Mutti; Esther Derman; Pierre-Luc Bacon; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: Robust Reinforcement Learning; Risk-Averse Reinforcement Learning; Regularized Reinforcement Learning
748	A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Authors: Yuzheng Hu; Fan Wu; Haotian Ye; David Forsyth; James Zou; Nan Jiang; Jiaqi W. Ma; Han Zhao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Oral Keywords: data attribution; online reinforcement learning
749	A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders Authors: David Chanin; James Wilken-Smith; Tomáš Dulka; Hardik Bhatnagar; Satvik Golechha; Joseph Isaac Bloom Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Oral Keywords: sparse autoencoders; SAEs; interpretability; NLP
750	Discovering Opinion Intervals from Conflicts in Signed Graphs Authors: Peter Blohm; Florian Chen; Aristides Gionis; Stefan Neumann Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Oral Keywords: Signed graphs; intervals graphs; social networks; correlation clustering; opinions
751	GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability Authors: Burouj Armgaan; Eshan Jain; Harsh Pandey; Mahesh Chandran; Sayan Ranu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Oral Keywords: graph neural network; graph machine learning; explainability; xai; global explanation; text-based explanation; exemplar; exemplar theory
752	Agnostic Active Learning Is Always Better Than Passive Learning Authors: Steve Hanneke Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Active learning; Agnostic learning; PAC learning; Query complexity; Minimax analysis; VC dimension; Star number; Disagreement coefficient
753	An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds Authors: Siyu Chen; Theodor Misiakiewicz; Ilias Zadik; Peiyuan Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: statistical query; Franz-Parisi criterion; computational hardness in statistical inference
754	Depth-Bounds for Neural Networks via the Braid Arrangement Authors: Moritz Leo Grillo; Christoph Hertrich; Georg Loho Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Neural Networks; Piecewise Linear Functions; Exact Representations; Polyhedral Geometry; Braid Fan; Boolean Lattice
755	Does Stochastic Gradient really succeed for bandits? Authors: Dorian Baudry; Emmeran Johnson; Simon Vary; Ciara Pike-Burke; Patrick Rebeschini Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: bandits; policy gradient
756	Dynamical Decoupling of Generalization and Overfitting in Large Two-Layer Networks Authors: Andrea Montanari; Pierfrancesco Urbani Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Overfitting; feature learning; dynamical mean field theory; generalization
757	High-Dimensional Calibration from Swap Regret Authors: Maxwell Fishelson; Noah Golowich; Mehryar Mohri; Jon Schneider Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Calibration; Swap Regret; Online Learning
758	Identifiability of Deep Polynomial Neural Networks Authors: Konstantin Usevich; Ricardo Augusto Borsoi; Clara Dérand; Marianne Clausel Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: polynomial neural networks; identifiability; tensor decompositions; uniqueness
759	Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization Authors: Shogo Iwazaki Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Gaussian process bandits; regret analysis; Bayesian optimization
760	Learning Linear Attention in Polynomial Time Authors: Morris Yau; Ekin Akyürek; Jiayuan Mao; Joshua B. Tenenbaum; Stefanie Jegelka; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Transformers; Learning Theory; PAC learning
761	On Linear Mode Connectivity of Mixture-of-Experts Architectures Authors: Viet-Hoang Tran; Van-Hoan Trinh; Khanh Vinh Bui; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: linear mode connectivity; mixture-of-experts
762	Optimal Mistake Bounds for Transductive Online Learning Authors: Zachary Chase; Steve Hanneke; Shay Moran; Jonathan Shafer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Online Learning
763	Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy Authors: Phuc Tran; Van Vu; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Spectral norm; low-rank approximation; differentially private PCA; contour integration; matrix analysis
764	Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization Authors: Milad Sefidgaran; Kimia Nadjahi; Abdellatif Zaidi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: generalization error; information theory; conditional mutual information; CMI; learning theory; projection; memorization
765	$\Delta \mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization Authors: Lin Zhu; Yifeng Yang; Xinbing Wang; Qinying Gu; Nanyang Ye Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robust Vision-Language Models; OOD generalization; OOD detection
766	$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data Authors: Ruizhe Liu; Pei Zhou; Qian Luo; Li Sun; Jun CEN; Yibing Song; Yanchao Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robotics; Self-supervised Learning; Concept Discovery
767	$\textit{Hyper-GoalNet}$: Goal-Conditioned Manipulation Policy Learning with HyperNetworks Authors: Pei Zhou; Wanting Yao; Qian Luo; Xunzhe Zhou; Yanchao Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visuomotor Hypernetwork; Goal-Conditioned Policy
768	$\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer Authors: Huaizhi Qu; Inyoung Choi; Zhen Tan; Song Wang; Sukwon Yun; Qi Long; Faizan Siddiqui; Kwonjoon Lee; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM-as-a-Judge; Distribution Estimation; LLM Ensemble
769	$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation Authors: Weilun Feng; Haotong Qin; Chuanguang Yang; Xiangqi Li; Han Yang; Yuqi Li; Zhulin An; Libo Huang; Michele Magno; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Transformer; Model Quantization
770	1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering Authors: Yuheng Yuan; Qiuhong Shen; Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 4d gaussian splatting; efficient dynamic scene representation
771	3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction Authors: Maria Taktasheva; Lily Goli; Alessandro Fiorini; Zhen Li; Daniel Rebain; Andrea Tagliasacchi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: gaussian splatting; novel view synthesis; planar reconstruction
772	3D Gaussian Splatting based Scene-independent Relocalization with Unidirectional and Bidirectional Feature Fusion Authors: Junyi Wang; Yuze Wang; Wantong Duan; Meng Wang; Yue Qi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Camera relocalization; 3D Gaussian Splatting; Feature Fusion
773	3D Human Pose Estimation with Muscles Authors: Kevin Zhu; AliAsghar MohammadiNasrabadi; Alexander Wong; John McPhee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D human pose estimation; physics-based computer vision
774	3D Visual Illusion Depth Estimation Authors: Chengtang Yao; Zhidan Liu; Jiaxi Zeng; Lidong Yu; Yuwei Wu; Yunde Jia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: depth estimation; 3D visual illusion; vision language model
775	3D-Agent: A Tri-Modal Multi-Agent Responsive Framework for Comprehensive 3D Object Annotation Authors: Jusheng Zhang; Yijia Fan; Zimo Wen; Jian Wang; Keze Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 官方列表未公开
776	3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image Authors: Xiao Cao; Beibei Lin; Bo Wang; Zhiyong Huang; Robby T. Tan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D editing
777	4DGCPro: Efficient Hierarchical 4D Gaussian Compression for Progressive Volumetric Video Streaming Authors: Zihan Zheng; Zhenlong Wu; Houqiang Zhong; Yuan Tian; Ning Cao; Lan Xu; Jiangchao Yao; Xiaoyun Zhang; Qiang Hu; Wenjun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Volumetric Video; Dynamic 3DGS; Progressive Streaming; 4D Reconstruction; Progressive Compression
778	4KAgent: Agentic Any Image to 4K Super-Resolution Authors: Yushen Zuo; Qi Zheng; Mingyang Wu; Xinrui Jiang; Renjie Li; Jian Wang; Yide Zhang; Gengchen Mai; Lihong Wang; James Zou; Xiaoyu Wang; Ming-Hsuan Yang; Zhengzhong Tu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Super-Resolution; Agent; Image Restoration; Low-level Vision
779	A Generalized Label Shift Perspective for Cross-Domain Gaze Estimation Authors: Hao-Ran Yang; Xiaohui Chen; Chuan-Xian Ren Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaze estimation; Generalized label shift; Distribution estimation
780	A Minimalistic Unified Framework for Incremental Learning across Image Restoration Tasks Authors: Xiaoxuan Gong; Jie Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multi-task image restoration; new baseline
781	A Semantic Parsing Framework for End-to-End Time Normalization Authors: Xin Su; Sungduk Yu; Phillip Howard; Steven Bethard Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time Normalization; Temporal Information Extraction
782	A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis Authors: Dongheng Lin; Mengxue Qu; Kunyang Han; Jianbo Jiao; Xiaojie Jin; Yunchao Wei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Understanding; Vision-Language Model; Test-time Reasoning; Anomaly Detection
783	A-Mem: Agentic Memory for LLM Agents Authors: Wujiang Xu; Zujie Liang; Kai Mei; Hang Gao; Juntao Tan; Yongfeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Agents; Memory System
784	AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation Authors: Sixiang Chen; Jiaming Liu; Siyuan Qian; Han Jiang; Zhuoyang Liu; Chenyang Gu; Xiaoqi Li; Chengkai Hou; Pengwei Wang; Zhongyuan Wang; Renrui Zhang; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mobile Manipulation; Robotic Manipulation
785	ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources Authors: Jason Wu; Yuyang Yuan; Kang Yang; Lance M. Kaplan; Mani Srivastava Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal deep learning; dynamic neural networks; compute limited systems
786	ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining Authors: Xincheng Yao; Yan Luo; Zefeng Qian; Chongyang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Anomaly Detection; Anomaly Representation Pretraining
787	ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation Authors: Xiaomeng Yang; Lei Lu; Qihui Fan; Changdi Yang; Juyi Lin; Yanzhi Wang; Xuan Zhang; Shangqian Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion; Pruning; Mixture of Experts; Efficiency
788	ARGenSeg: Image Segmentation with Autoregressive Image Generation Model Authors: Xiaolong Wang; Lixiang Ru; Ziyuan Huang; Kaixiang Ji; DanDan Zheng; Jingdong Chen; JUN ZHOU Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image segmentation; unified multimodal understanding and pixel-level perception; image generation
789	ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction Authors: Jiabao Lei; Kewei Shi; Zhihao Liang; Kui Jia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d mesh generation; autoregressive modeling; coarse-to-fine; level of detail
790	AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding Authors: Chaeyoung Jung; Youngjoon Jang; Joon Son Chung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Audio-visual processing; Audio-visual LLM; Audio-visual LLM hallucination
791	Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings Authors: Qiong Wu; Wenhao Lin; Yiyi Zhou; Weihao Ye; Zhanpeng Zeng; Xiaoshuai Sun; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Modal; Token Prune
792	AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models Authors: Seunghoon Lee; Jeongwoo Choi; Byunggwan Son; Jaehyeon Moon; Jeimin Jeon; Bumsub Ham Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Network Quantization; Diffusion Models
793	Activation-Guided Consensus Merging for Large Language Models Authors: Yuxuan Yao; Shuqi LIU; Zehua Liu; Qintong Li; Mingyang LIU; Xiongwei Han; Zhijiang Guo; Han Wu; Linqi Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Reasoning; Model Merging; Long-to-Short
794	Active Test-time Vision-Language Navigation Authors: Heeju Ko; Sungjune Kim; Gyeongrok Oh; Jeongyoon Yoon; Honglak Lee; Sujin Jang; Seungryong Kim; Sangpil Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Navigation; Active Learning; Test-time Adaptation
795	Adaptive Gradient Masking for Balancing ID and MLLM-based Representations in Recommendation Authors: Yidong Wu; Siyuan Chen; Binrui Wu; Fan Li; Jiechao Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal recommendation; MLLM
796	Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling Authors: Hongyi Nie; Yaqing Wang; Mingyang Zhou; Feiyang Pan; Quanming Yao; Zhen Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Personalized LLM Agents; Dynamic Preference Modeling; Adaptive Preference Arithmetic
797	AdvEDM: Fine-grained Adversarial Attack against VLM-based Embodied Agents Authors: Yichen Wang; Hangtao Zhang; Hewen Pan; Ziqi Zhou; Xianlong Wang; Peijin Guo; Lulu Xue; Shengshan Hu; Minghui Li; Leo Yu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Adversarial Attack; Vision-Language Model; Embodied AI
798	AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models Authors: Xinyi Wang; Xun Yang; Yanlong Xu; Yuchen Wu; Zhen Li; Na Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Vision; Embodied Artificial Intelligence; Vision–Language Models
799	Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization Authors: Mingzhe Du; Anh Tuan Luu; Yue Liu; Yuhao QING; Dong HUANG; Xinyi He; Qian Liu; Zejun MA; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code Generation; Software Engineering
800	AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems Authors: Yingxuan Yang; Huacan Chai; Shuai Shao; Yuanyi Song; Siyuan Qi; Renting Rui; Weinan Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Agent; MAS; RAG; DAG
801	AliO: Output Alignment Matters in Long-Term Time Series Forecasting Authors: Kwangryeol Park; Jaeho Kim; Seulki Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Forecasting; Novel challenge
802	AlignedGen: Aligning Style Across Generated Images Authors: Jiexuan Zhang; Yiheng Du; Qian Wang; Weiqi Li; Yu Gu; Jian Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Model; Image Generation
803	Aligning What Matters: Masked Latent Adaptation for Text-to-Audio-Video Generation Authors: Jiyang Zheng; Siqi Pan; Yu Yao; Zhaoqing Wang; Dadong Wang; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Cross-modal Alignment; Text-to-Audio-Video Generation
804	AnimateQR: Bridging Aesthetics and Functionality in Dynamic QR Code Generation Authors: Guangyang Wu; Huayu Zheng; Siqi Luo; Guangtao Zhai; Xiaohong Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: ControlNet; AnimateDiff; diffusion; QR code
805	Anti-Aliased 2D Gaussian Splatting Authors: Mae Younes; Adnane Boukhayma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Anti-aliasing; 2D Gaussian splatting; Gaussian Splatting; Scene Representation; Surface Reconstruction
806	ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting Authors: Ruifeng Luo; Zhengjie Liu; Tianxiao Cheng; Jie Wang; Tongjie Wang; Fei Cheng; Fu Chai; Yanpeng Li; Xingguang Wei; Haomin Wang; Shenglong Ye; Wenhai Wang; Yanting Zhang; Yu Qiao; H… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: CAD; panoptic symbol spotting; dataset
807	Asymmetric Dual-Lens Video Deblurring Authors: Zeyu Xiao; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image deblurring; Video deblurring
808	AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians Authors: Xiyu Zhang; Chong Bao; YiPeng Chen; Hongjia Zhai; Yitong Dong; Hujun Bao; Zhaopeng Cui; Guofeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: indoor surface reconstruction; gaussian splatting
809	Atom of Thoughts for Markov LLM Test-Time Scaling Authors: Fengwei Teng; Quan Shi; Zhaoyang Yu; Jiayi Zhang; Yuyu Luo; Chenglin Wu; Zhijiang Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Reasoning; Reasoning Framework
810	AudSemThinker: Enhancing Audio-Language Models Through Reasoning over Semantics of Sound Authors: Gijs Wijngaard; Elia Formisano; Michele Esposito; Michel Dumontier Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: audio-language model; audio dataset; audio reasoning; semantics of sound
811	Audio-Sync Video Generation with Multi-Stream Temporal Control Authors: Shuchen Weng; Haojie Zheng; Zheng Chang; Si Li; Boxin Shi; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video generation
812	AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition Authors: Parsa Rahimi; Damien Teney; Sébastien Marcel Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generative Models; Synthetic Data; Diffusion Models; Synthetic Augmentation; Face Recognition
813	Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization Authors: Guojingfeng; Jian Liu; Jinnan Chen; Shiwei Mao; Changrong Hu; Puhua Jiang; Junlin Yu; Jing Xu; Qi Liu; LiXin Xu; Zhuo Chen; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Rigging; Skinning; Post-training
814	AutoEdit: Automatic Hyperparameter Tuning for Image Editing Authors: Chau Pham; Quan Dao; Mahesh Bhosale; Yunjie Tian; Dimitris N. Metaxas; David Doermann Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Editing; Diffusion Model
815	AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Authors: Zewei Zhou; Tianhui Cai; Seth Z. Zhao; Yun Zhang; Zhiyu Huang; Bolei Zhou; Jiaqi Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: End-to-end Autonomous Driving; Vision Language Action Model; Reinforcement Finetuning
816	Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval Authors: Delong Liu; Haiwen Li; Zhaohui Hou; Zhicheng Zhao; Fei Su; Yuan Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Composed Person Retrieval; Synthetic Data Generation; Fine-grained Feature Alignment; Multimodal Retrieval
817	Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling Authors: Linnan Tu; Lingwei Meng; Zongyi Li; Hefei Ling; Shijuan Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Motion generation; Gaussian Mixture; VAE; Autoregressive Generation
818	Aux-Think: Exploring Reasoning Strategies for Data-Efficient Vision-Language Navigation Authors: Shuo Wang; Yongcai Wang; Wanting Li; Xudong Cai; Yucheng Wang; Maiyue Chen; Kaihui Wang; Zhizhong Su; Deying Li; Zhaoxin Fan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision-language navigation; chain of thought; data efficiency
819	Availability-aware Sensor Fusion via Unified Canonical Space Authors: Dong-Hee Paek; Seung-Hyun Kong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sensor Fusion; 4D Radar; LiDAR; Camera; Sensor Degradation; Sensor Failure; Autonomous Driving
820	BAM-ICL: Causal Hijacking In-Context Learning with Budgeted Adversarial Manipulation Authors: Rui Chu; Bingyin Zhao; Hanling Jiang; Shuchin Aeron; Yingjie Lao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language models; in-context learning; hijacking; budget profile
821	BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent Authors: Shaojie Zhang; Ruoceng Zhang; Pei Fu; Shaokang Wang; Jiahui Yang; Xin Du; ShiqiCui; Bin Qin; Ying Huang; Zhenbo Luo; Jian Luan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Vision-Language Model; GUI Agent; Reinforcement Fine-Tuning
822	BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading Authors: Jonathan Schmidt; Simon Giebenhain; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Head Avatars; Relighting; OLAT Dataset; Neural Rendering; Intrinsic Decomposition
823	BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation Authors: Zibo Zhou; Yue Hu; Lingkai Zhang; Zonglin Li; Siheng Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: zero shot object Navigation; belief map; mobile agent
824	Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Authors: Qizhe Zhang; Mengzhen Liu; Lichen Li; Ming Lu; Yuan Zhang; Junwen Pan; Qi She; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal large language model; visual token pruning; training-free acceleration
825	Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation Authors: Muquan Li; Hang Gou; Dongyang Zhang; Shuang Liang; Xiurui Xie; Deqiang Ouyang; Ke Qin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dataset distillation; Inner-loop optimization
826	BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation Authors: Yujia Chen; Rui Sun; Wangkai Li; Huayu Mai; Si Chen; Zhuoyuan Li; Zhixin Cheng; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LiDAR Segmentation; Unsupervised Domain Adaption
827	BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models Authors: Dingqiang Ye; Chao Fan; Zhanbo Huang; Chengwen Luo; Jianqiang Li; Shiqi Yu; Xiaoming Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gait Recognition; Large Vision Models
828	BitMark: Watermarking Bitwise Autoregressive Image Generative Models Authors: Louis Kerner; Michel Meintz; Bihe Zhao; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Watermarking; Image Autoregressive Model; Generated Content Detection
829	BlockDecoder: Boosting ASR Decoders with Context and Merger Modules Authors: Darshan Prabhu; Preethi Jyothi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Automatic speech recognition; Attention Encoder Decoder; Efficient Decoder
830	BlockScan: Detecting Anomalies in Blockchain Transactions Authors: Jiahao Yu; Xian Wu; Hao Liu; Wenbo Guo; Xinyu Xing Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: foundation model; blockchain transaction
831	BlurDM: A Blur Diffusion Model for Image Deblurring Authors: Jin-Ting He; Fu-Jen Tsai; Yan-Tsung Peng; Min-Hung Chen; Chia-Wen Lin; Yen-Yu Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Low-level Vision; Image Deblurring
832	Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration Authors: Junqi Gao; Zhichang Guo; Dazhi Zhang; Dong Li; Runze Liu; Pengfei Li; Kai Tian; Biqing Qi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Heterogeneous Model Fusion; Large Language Models
833	Boosting Skeleton-based Zero-Shot Action Recognition with Training-Free Test-Time Adaptation Authors: Jingmin Zhu; Anqi Zhu; Hossein Rahmani; Jun Liu; Mohammed Bennamoun; Qiuhong Ke Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: zero-shot learning; generalized zero-shot learning; skeleton-based action recognition; test-time adaptation
834	Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization Authors: Qi Liu; Xinhao Zheng; Renqiu Xia; Qinxiang Cao; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language model; math QA; formal verification; formal theorem proving; formal problem-solving
835	BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories Authors: Wonjung Park; Suhyun Ahn; Maria C. Valdes Hernandez; Susana Muñoz Maniega; Jinah Park Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Shape analysis; Medical application; Prediagnosis
836	Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Authors: Yue Zhou; Xinan He; Kaiqing Lin; Bing Fan; Feng Ding; Bin Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimedia Forensics; AIGC Image Detection
837	Bridging Equivariant GNNs and Spherical CNNs for Structured Physical Domains Authors: Colin Kohler; Purvik Patel; Nathan Vaska; Justin Goodwin; Matthew C. Jones; Robert Platt; Rajmonda S. Caceres; Robin Walters Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Equivariance; Geometric; Fourier; Spherical Signals; SO(3); Radar; Policy Learning
838	Bridging Sign and Spoken Languages: Pseudo Gloss Generation for Sign Language Translation Authors: Jianyuan Guo; Peike Li; Trevor Cohn Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sign Language Translation; Pseudo Gloss Generation; Large Language Model
839	Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery Authors: Mélisande Teng; Arthur Ouaknine; Etienne Laliberté; Yoshua Bengio; David Rolnick; Hugo Larochelle Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Forest monitoring; Remote sensing; Instance segmentation; Segment Anything Model; Drone imagery; Climate change; Earth observation
840	Building 3D Representations and Generating Motions From a Single Image via Video-Generation Authors: Weiming Zhi; Ziyong Ma; Tianyi Zhang; Matthew Johnson-Roberson Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Scene Representation; Motion Generation
841	Bézier Splatting for Fast and Differentiable Vector Graphics Rendering Authors: Xi Liu; Chaoyi Zhou; Nanxuan Zhao; Siyu Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: differentiable vector graphics; Gaussian splatting
842	C$^2$Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning Authors: Kunlun Xu; yibo feng; Jiangmeng Li; Yongsheng Qi; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Continual Learning; Federated learning
843	C-NAV: Towards Self-Evolving Continual Object Navigation in Open World Authors: MingMing Yu; Fei Zhu; wenzhuo liu; Yirong Yang; Qunbo Wang; wenjun wu; Jing Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied AI; Continue Learning
844	CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward Authors: Yandong Guan; Xilin Wang; XiMing Xing; Jing Zhang; Dong Xu; Qian Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: CAD generation; text-to-CAD; LLM
845	CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes Authors: Jiyao Zhang; Zhiyuan Ma; Tianhao Wu; Zeyuan Chen; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dexterous Hand; General Grasping
846	CADMorph: Geometry‑Driven Parametric CAD Editing via a Plan–Generate–Verify Loop Authors: Weijian Ma; Shizhao Sun; Ruiyu Wang; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computer-Aided Design; Test-time scaling; Generative Models; Large-language Models
847	CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction Authors: Yiyi Liu; Chunyang Liu; Bohan Wang; Weiqin Jiao; Bojian Wu; Lubin Fan; Yuwei Chen; Fashuai Li; Biao Xiong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: floorplan reconstruction; continuity-aware edge; representation learning; point clouds; density map
848	CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Authors: Rui Li; Zeyu Zhang; Xiaohe Bo; Zihang Tian; Xu Chen; Quanyu Dai; Zhenhua Dong; Ruiming Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM-Based Reading Agent; Long-Text Reading Comprehension; LLM Memory
849	CF-VLM:CounterFactual Vision-Language Fine-tuning Authors: Jusheng Zhang; Kaitong Cai; Yijia Fan; Jian Wang; Keze Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: VLM; causal; clip
850	COS3D: Collaborative Open-Vocabulary 3D Segmentation Authors: Runsong Zhu; Ka-Hei Hui; Zhengzhe Liu; Qianyi Wu; Weiliang Tang; Shi Qiu; Pheng-Ann Heng; Chi-Wing Fu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open-vocabulary 3D Segmentation; segmentation; language
851	CPO: Condition Preference Optimization for Controllable Image Generation Authors: Zonglin Lyu; Ming Li; Xinxin Liu; Chen Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Models; Controllable Image Generation; ControlNet
852	CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic Authors: Yuxuan Sun; Yixuan Si; Chenglu Zhu; Kai Zhang; Zhongyi Shui; Bowen Ding; Tao Lin; Lin Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Agent; Computational pathology; Large multimodal model
853	CQ-DINO: Mitigating Gradient Dilution via Category Queries for Vast Vocabulary Object Detection Authors: Zhichao Sun; Huazhang Hu; Yidong Ma; Gang Liu; Nemo Chen; Xu Tang; Yao Hu; Yongchao Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object detection; vast vocabulary
854	CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation Authors: Kavana Venkatesh; Connor Dunlop; Pinar Yanardag Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: creativity; t2i; diffusion; multi-agentic systems; llm
855	CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning Authors: Ke Niu; zhuofan chen; Haiyang Yu; Yuwen Chen; Teng Fu; Mengyang Zhao; Bin Li; Xiangyang Xue Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: CAD Reasoning; Multi-Modal Dataset; Constraint-Driven Synthesis
856	CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors Authors: Mingyuan Li; Tong Jia; Hao Wang; Bowen Ma; Luhui; Shiyi Guo; Da Cai; Dongyue Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: object detection; X-ray inspection; detection transformer
857	CURV: Coherent Uncertainty-Aware Reasoning in Vision-Language Models for X-Ray Report Generation Authors: Ziao Wang; Sixing Yan; Kejing Yin; Xiaofeng Zhang; William K. Cheung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Chest X-Ray Report Generation; Vision Language Models; Uncertainty-Aware Reasoning
858	Calibrating Translation Decoding with Quality Estimation on LLMs Authors: Di Wu; Yibin Lei; Christof Monz Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Translation; Quality Estimation; LLMs; Calibration
859	CamEdit: Continuous Camera Parameter Control for Photorealistic Image Editing Authors: Xinran Qin; Zhixin Wang; Fan Li; Haoyu Chen; Renjing Pei; Wenbo Li; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Photorealistic Image Editing; Camera Parameter Control; Diffusion model
860	CamSAM2: Segment Anything Accurately in Camouflaged Videos Authors: Yuli Zhou; Yawei Li; Yuqian Fu; Luca Benini; Ender Konukoglu; Guolei Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: SAM2; Video camouflaged object segmentation
861	Cameras as Relative Positional Encoding Authors: Ruilong Li; Brent Yi; Junchen Liu; Hang Gao; Yi Ma; Angjoo Kanazawa Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multi-view transformer; positional encoding; projective transformation
862	Can Dependencies Induced by LLM-Agent Workflows Be Trusted? Authors: Yu Yao; Yiliao Song; Yian Xie; Mengdan Fan; Mingyu Guo; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-LLM-Agent System
863	Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? Authors: Apratim Bhattacharyya; Bicheng Xu; Sanjay Haresh; Reza Pourreza; Litian Liu; Sunny Panchal; Leonid Sigal; Roland Memisevic Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-modal; Large language Models; Vision and Language
864	Can NeRFs "See" without Cameras? Authors: Chaitanya Amballa; Yu-Lin Wei; Sattwik Basu; Zhijian Yang; Mehmet Ergezer; Romit Roy Choudhury Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: NeRF; Indoor floorplan
865	Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration Authors: Wenjun Wu; Lingling Zhang; Bo Zhao; Muye Huang; QianYing Wang; Jun Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Geometry problem solving; Symbolic reasoning
866	CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference Authors: Qiyi Wang; Senda Chen; Ying Shen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Temporal Grounding; Causal Inference; Vision-Language Understanding
867	Chain of Execution Supervision Promotes General Reasoning in Large Language Models Authors: Nuo Chen; Zehua Li; Keqin Bao; Junyang Lin; Dayiheng Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language models; reasoning
868	Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation Authors: Wenbo Zhang; Tianrun Hu; Hanbo Zhang; Yanyuan Qiao; Yuchu Qin; Yang Li; Jiajun Liu; Tao Kong; Lingqiao Liu; Xiao Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robotic Manipulation
869	Chain-of-Retrieval Augmented Generation Authors: Liang Wang; Haonan Chen; Nan Yang; Xiaolong Huang; Zhicheng Dou; Furu Wei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: retrieval-augmented generation; scaling law; multi-hop reasoning
870	ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning Authors: Zhongyi Zhou; Yichen Zhu; Xiaoyu Liu; Zhibin Tang; Junjie Wen; Yaxin Peng; Chaomin Shen; Yi Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision-language-action model; open-world reasoning
871	ChatbotID: Identifying Chatbots with Granger Causality Test Authors: Xiaoquan Yi; Haozhao Wang; Yining Qi; Wenchao Xu; Rui Zhang; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Granger Causality; Dialogue; LLMs
872	Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening Authors: Piyush Nitin Bagad; Andrew Zisserman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time-sensitive video representations; Time chirality; Action recognition
873	Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search Authors: Haoran Sun; Yankai Jiang; Wenjie Lou; Yujie Zhang; Wenjie Li; Lilong Wang; Mianxin Liu; Lei Liu; Xiaosong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Medical Reasoning; Chain-of-Thought
874	Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation Authors: Jiahuan Zhou; Chao Zhu; Zhenyu Cui; Zichen Liu; Xu Zou; Gang Hua Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Continual Test-Time Adaptation; Knowledge Fusion; Knowledge Fission
875	Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models Authors: Yuheng Tang; Hongwei Li; Kaijie Zhu; Michael Yang; Yangruibo Ding; Wenbo Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: automatic program repair; autonomous software improvement; software patching agents; customized reasoning models
876	CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model Authors: Dapeng Zhang; Fei Shen; Rui Zhao; Yinda Chen; Peng Zhi; Chenyang Li; Rui Zhou; Qingguo Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: VLA; VLM; LLM-AD; Domain Transfer; Autonomous Driving; End-to-end.
877	CoDA: Coordinated Diffusion Noise Optimization for Whole-Body Manipulation of Articulated Objects Authors: Huaijin Pi; Zhi Cen; Zhiyang Dou; Taku Komura Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Whole-body motion generation; human-object interaction; articulated object manipulation
878	CoFFT: Chain of Foresight-Focus Thought for Visual Language Models Authors: Xinyu Zhang; Yuxuan Dong; Lingling Zhang; Chengyou Jia; Zhuohang Dang; Basura Fernando; Jun Liu; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: visual reasoning; visual language model; traning-free; foresight
879	CoT-lized Diffusion: Let's Reinforce T2I Generation Step-by-step Authors: Zheyuan Liu; Munan Ning; Qihui Zhang; Shuo Yang; Zhongrui Wang; Yiwei Yang; Xianzhe Xu; Yibing Song; Weihua Chen; Fan Wang; Li Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: MLLM; Diffusion; CoT; 3D Layout; Image Generation
880	CoVoMix2: Advancing Zero-Shot Dialogue Generation with Fully Non-Autoregressive Flow Matching Authors: leying zhang; Yao Qian; Xiaofei Wang; Manthan Thakker; Dongmei Wang; Jianwei Yu; Haibin Wu; Yuxuan Hu; Jinyu Li; Yanmin Qian; sheng zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: text-to-speech; dialogue generation; flow-matching
881	Coarse-to-Fine 3D Part Assembly via Semantic Super-Parts and Symmetry-Aware Pose Estimation Authors: Xinyi Zhang; Bingyang Wei; Ruixuan Yu; Jian Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D part assembly; semantic super-parts; dual-range feature propagation; symmetry-aware supervision
882	CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving Authors: Huitong Yang; Zhuoxiao Chen; Fengyi Zhang; Zi Huang; Yadan Luo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: test-time adaptation; autonomous driving
883	Codifying Character Logic in Role-Playing Authors: Letian Peng; Jingbo Shang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Role-playing; Large Language Models; Knowledge Grounding
884	CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification Authors: Wei Li; Renshan Zhang; Rui Shao; Jie He; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision Language Action models; Instruction-Driven; Vision-Language Models; Vision Sparsification
885	ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback Authors: Litao Guo; Xinli Xu; Luozhou Wang; Jiantao Lin; Jinsong Zhou; Zixin Zhang; Bolan Su; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: General-Purpose Generation; Collaborative AI system; ComfyUI
886	Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections Authors: Xiaomeng Xu; Yifan Hou; Zeyi Liu; Shuran Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: robot manipulation; imitation learning; human-in-the-loop learning
887	Compress & Cache: Vision token compression for efficient generation and retrieval Authors: Adrian Bulat; Yassine Ouali; Georgios Tzimiropoulos Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: token compression; llava
888	ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts Authors: Jinho Choi; Hyesu Lim; Steffen Schneider; Jaegul Choo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: dataset bias analysis; vision datasets; sparse autoencoder
889	Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations Authors: Yujia Zhang; Xiaoyang Wu; Yixing Lao; Chengyao Wang; Zhuotao Tian; Naiyan Wang; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Point Cloud; 3D Representation Learning; 3D Semantic Segmentation; Self-supervised Learning
890	Conditional Panoramic Image Generation via Masked Autoregressive Modeling Authors: Chaoyang Wang; Xiangtai Li; Lu Qi; Xiaofan Lin; Jinbin Bai; Qianyu Zhou; Yunhai Tong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative model; panoramic image
891	Conformal Linguistic Calibration: Trading-off between Factuality and Specificity Authors: Zhengping Jiang; Anqi Liu; Benjamin Van Durme Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Conformal Prediction; Calibration; Semantics; NLP; LLM; Factuality
892	Consistent Story Generation: Unlocking the Potential of Zigzag Sampling Authors: Mingxiao Li; Mang Ning; Marie-Francine Moens Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: story generation; diffusion model; generative model
893	Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery Authors: Jizhou Han; Shaokun Wang; Yuhang He; Chenhao Ding; Qiang Wang; Xinyuan Gao; SongLin Dong; Yihong Gong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generalized Category Discovery; Neural Collapse
894	Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generation Authors: Yiyao Ma; Kai Chen; Kexin ZHENG; Qi Dou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dexterous grasp generation; Contact map transfer
895	ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions Authors: Bufang Yang; Lilin Xu; Liekang Zeng; Kaiwei Liu; Siyang Jiang; Wenrui Lu; Hongkai Chen; Xiaofan Jiang; Guoliang Xing; Zhenyu Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Agents; Proactive Agent; Human-centric AI; Personal Assistant
896	Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation Authors: Guilin Zhu; Runmin Wang; Yuanjie Shao; Wei dong Yang; Nong Sang; Changxin Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Class Incremental Semantic Segmentation; Semantic Segmentation; Class Incremental Learning; Gaussian Mixture Models
897	Controllable Human-centric Keyframe Interpolation with Generative Prior Authors: Zujin Guo; Size Wu; Zhongang Cai; Wei Li; Chen Change Loy Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Keyframe Interpolation; Generative Inbetweening; Video Diffusion Models
898	Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers Authors: Youmin Ko; Sung Jong Seo; Hyunjoon Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: retieval-augmented generation; RAG; multi-hop question answering; contrasting layers; question augmentation
899	CroPe: Cross-Modal Semantic Compensation Adaptation for All Adverse Scene Understanding Authors: Qin Xu; Qihang Wu; Lu Hongtao; Xiaoxia Cheng; Bo Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: cross-domain semantic segmentation; unsupervised domain adaptation; multi-modality
900	Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model Authors: Yudong Li; Jingyuan Wang; Xie Yu; Peiyu Wang; Qian Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Traffic Flow; Diffusion; Retrieval-Augmented Generation
901	Crucible: Quantifying the Potential of Control Algorithms through LLM Agents Authors: Lianchen Jia; Chaoyang Li; Qian Houde; Tianchi Huang; Jiangchuan Liu; Lifeng Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Control Algorithms; Large Language Models; Agent; Potential
902	Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation Authors: Hanchen Su; Xuyuan Li; Yan Zhou; zhuoyi lu; Ziwei Chai; Haozheng Wang; Chen Zhang; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Text-to-Cypher; Reinforcement learning; Graph Databases; Large Language Models
903	D$^2$GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction Authors: Kejing Xia; Jidong Jia; Ke Jin; Yucai Bai; Li Sun; Dacheng Tao; Youjian Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Urban scenes reconstruction; Gaussian Splatting; Depth estimation
904	DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting Authors: Moonsoo Jeong; Dongbeen Kim; Minseong Kim; Sungkil Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computer Vision; Novel-View Synthesis; 3D Gaussian Splatting; Density Control; Directional Consistency
905	DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing Authors: Zixiang Li; Haoyu Wang; Wei Wang; Chuangchuang Tan; Yunchao Wei; Yao Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion model; Image Editing
906	DGH: Dynamic Gaussian Hair Authors: Junying Wang; Yuanlu Xu; Edith Tretschk; Ziyan Wang; Anastasia Ianina; Aljaz Bozic; Ulrich Neumann; Tony Tung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dynamic hair; Hair deformation; 3D Gaussian Splatting
907	DIFFSSR: Stereo Image Super-resolution Using Differential Transformer Authors: Dafeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Stereo Image Super-resolution; Differential Transformer
908	DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data Authors: Ruiqi Wu; Xinjie wang; Liu.Liu; Chun-Le Guo; Jiaxiong Qiu; Chongyi Li; Lichao Huang; Zhizhong Su; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: articulated object; articulated object dataset
909	DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection Authors: Changhan Liu; Xunzhi Xiang; Zixuan Duan; Wenbin Li; Qi Fan; Yang Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: cross-domain few-shot object detection; foundation model
910	DOTA: Distributional Test-time Adaptation of Vision-Language Models Authors: Zongbo Han; Jialong Yang; Guangyu Wang; Junfan Li; Qianli Xu; Mike Zheng Shou; Changqing Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Test-Time Adaptation
911	DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution Authors: Zheng Chen; Zichen Zou; Kewei Zhang; Xiongfei Su; Xin Yuan; Yong Guo; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: One-Step Diffusion; Real-World; Video Super‑Resolution
912	DOVTrack: Data-Efficient Open-Vocabulary Tracking Authors: Zekun Qian; Ruize Han; Zhixiang Wang; Junhui Hou; Wei Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open Vocabulary; Multi-Object Tracking
913	DP²O-SR: Direct Perceptual Preference Optimization for Real-World Image Super-Resolution Authors: Rongyuan Wu; Lingchen Sun; Zhengqiang ZHANG; Shihao Wang; Tianhe Wu; Qiaosi Yi; Shuai Li; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Real-world Image Super-resolution; Diffusion Models; Direct Preference Optimization; Perceptual Quality; Preference Learning
914	Dataset Distillation of 3D Point Clouds via Distribution Matching Authors: Jae-Young Yim; Dongwook Kim; Jae-Young Sim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dataset Distillation; Dataset Condensation
915	DeblurDiff: Real-Word Image Deblurring with Generative Diffusion Models Authors: Lingshun Kong; jiawei zhang; Dongqing Zou; Fu Lee Wang; Jimmy Ren; Xiaohe Wu; Jiangxin Dong; Jinshan Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image deblurring
916	Deep Video Discovery: Agentic Search with Tool Use for Long-form Video Understanding Authors: Xiaoyi Zhang; Zhaoyang Jia; Zongyu Guo; Jiahao Li; Bin Li; Houqiang Li; Yan Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: agent; computer vision; long video understanding
917	DeepASA: An Object-Oriented Multi-Purpose Network for Auditory Scene Analysis Authors: Dongheon Lee; Younghoo Kwon; Jung-Woo Choi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: audio signal processing; auditory scene analysis; universal sound separation; object-oriented processing; chain-of-inference
918	Delving into Large Language Models for Effective Time-Series Anomaly Detection Authors: Junwoo Park; Kyudan Jung; Dohyun Lee; Hyuck Lee; Daehoon Gwak; ChaeHun Park; Jaegul Choo; Jaewoong Cho Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language model; time series; anomaly detection
919	Denoising Trajectory Biases for Zero-Shot AI-Generated Image Detection Authors: Yachao Liang; Min Yu; Gang Li; Jianguo Jiang; Fuqiang Du; Li Jingyuan; Lanchi Xie; Zhen Xu; Weiqing Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: AI-generated image detection; diffusion model; ddim; gan
920	Dense Metric Depth Estimation via Event-based Differential Focus Volume Prompting Authors: Boyu Li; Peiqi Duan; Zhaojun Huang; Xinyu Zhou; Yifei Xia; Boxin Shi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event Camera; Depth Estimation; Focus Volume
921	Dependency Parsing is More Parameter-Efficient with Normalization Authors: Paolo Gajo; Domenic Rosati; Hassan Sajjad; Alberto Barrón-Cedeño Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: semantic dependency parsing; normalization; biaffine attention
922	Depth-Supervised Fusion Network for Seamless-Free Image Stitching Authors: Zhiying Jiang; Ruhao Yan; Zengxi Zhang; Bowei Zhang; Jinyuan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Fusion
923	DevFD : Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces Authors: Tianshuo Zhang; Li Gao; Siran Peng; Xiangyu Zhu; Zhen Lei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Face Forgery Detection; Face Forensics; Continual Learning
924	Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior Authors: Ruoyu Feng; Yunpeng Qi; Jinming Liu; Yixin Gao; Xin Li; Xin Jin; Zhibo Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Coding for Machines; Diffusion Model; Generative Image Compression
925	Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Authors: Massimiliano Ciranni; Vito Paolo Pastore; Roberto Di Via; Enzo Tartaglione; Francesca Odone; Vittorio Murino Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Model debiasing; bias amplification; diffusion models; image classification
926	Diffusion Feature Field for Text-based 3D Editing with Gaussian Splatting Authors: Eunseo Koh; Sangeek Hyun; MinKyu Lee; Jiwoo Chung; Kangmin Seo; Jae-Pil Heo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Text-based 3DGS editing; 3DGS generation
927	Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization Authors: Tao Zhang; Cheng Da; Kun Ding; Huan Yang; kun jin; Yan Li; Tingting Gao; Di ZHANG; Shiming Xiang; Chunhong Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Model; Reward Model; Preference Optimization; Image Generation
928	Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis Authors: Hengyuan Cao; Yutong Feng; Biao Gong; Yijing Tian; Yunhong Lu; Chuang Liu; Bin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video generative models; controllable image generation; image customization; conditional image generation
929	Direct Numerical Layout Generation for 3D Indoor Scene Synthesis via Spatial Reasoning Authors: Xingjian Ran; Yixuan Li; Linning Xu; Mulin Yu; Bo Dai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D indoor scene synthesis; text-to-3D layout generation; spatial reasoning
930	Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models Authors: Thanh-Dat Truong; Huu-Thien Tran; Tran Thai Son; Bhiksha Raj; Khoa Luu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Multimodal Models; Shuffle Learning; Directed Tokens
931	Discovering Compositional Hallucinations in LVLMs Authors: Sibei Yang; Ge Zheng; Jiajin Tang; Jiaye Qian; Hanzhuo Huang; Cheng Shi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Hallucination; LVLMs
932	Distil-E2D: Distilling Image-to-Depth Priors for Event-Based Monocular Depth Estimation Authors: Jie Long Lee; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: event camera; neuromorphic vision; monocular depth estimation
933	Distilling LLM Prior to Flow Model for Generalizable Agent’s Imagination in Object Goal Navigation Authors: Badi Li; Ren-Jie Lu; Yu Zhou; Jingke Meng; Wei-Shi Zheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Navigation; Object Goal Navigation
934	Do LVLMs Truly Understand Video Anomalies? Revealing Hallucination via Co-Occurrence Patterns Authors: Menghao Zhang; Huazheng Wang; Pengfei Ren; Kangheng Lin; Qi Qi; Haifeng Sun; Zirui Zhuang; Lei Zhang; Jianxin Liao; Jingyu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Anomaly Detection; Video Anomaly Reasoning
935	DoDo-Code: an Efficient Levenshtein Distance Embedding-based Code for 4-ary IDS Channel Authors: Alan J.X. Guo; Sihan Sun; Xiang Wei; Mengyi Wei; Xin Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: combinatorial code; error correcting code; synchronization error correcting
936	Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback Authors: Janet Wang; Yunbei Zhang; Zhengming Ding; Jihun Hamm Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Synthetic Clinical Data; Machine Learning for Healthcare; Skin Imaging Analysis
937	Document Summarization with Conformal Importance Guarantees Authors: Bruce Kuwahara; Chen-Yuan Lin; Xiao Shi Huang; Kin Kwan Leung; Jullian Arta Yapeter; Ilya Stanevich; Felipe Perez; Jesse C. Cresswell Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Document Summarization; Conformal Prediction; Large Language Models
938	Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection Authors: Yu Li; Xingyu Qiu; Yuqian Fu; Jie Chen; Tianwen Qian; Xu Zheng; Danda Pani Paudel; Yanwei Fu; Xuanjing Huang; Luc Van Gool; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Cross-Domain Few-Shot Object Detection; RAG; Few-Shot Learning
939	Don’t Let It Fade: Preserving Edits in Diffusion Language Models via Token Timestep Allocation Authors: Woojin Kim; Jaeyoung Do Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Language Models; Controllable Text Generation
940	Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning Authors: Wenjun Huang; Ziteng Cui; Yinqiang Zheng; Yirui He; Tatsuya Harada; Mohsen Imani Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computational Photography; Image Signal Processor (ISP)
941	DreamLight: Towards Harmonious and Consistent Image Relighting Authors: Yong Liu; Wenpeng Xiao; Qianqian Wang; Junlin Chen; Shiyin Wang; Yitong Wang; Xinglong Wu; Yansong Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Composition; Image Relighting; Image Harmonization
942	Dual Alignment Framework for Few-shot Learning with Inter-Set and Intra-Set Shifts Authors: Siyang Jiang; Rui Fang; Hsi-Wen Chen; Wei Ding; Guoliang Xing; Ming-syan Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Few-shot learning; optimal transportation
943	Dual-Comb Ghost Imaging with Transformer-Based Reconstruction for Optical Fiber Endomicroscopy Authors: David Dang; Myoung-Gyun Suh; Maodong Gao; ByoungJun Park; Beyonce Hu; Yucheng Jin; Wilton J. M. Kort-Kamp; Ho Wai Howard Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Ghost Imaging; Sparse Sensing; Optics; Transformers
944	Dual-Path Temporal Decoder for End-to-End Multi-Object Tracking Authors: Hyunseop Kim; Juheon Jeong; Hanul Kim; Yeong Jun Koh Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Object Tracking; Transformer; Temporal Modeling; Attention Mechanism; Query Update
945	Dual-Res Tandem Mamba-3D: Bilateral Breast Lesion Detection and Classification on Non-contrast Chest CT Authors: Jiaheng Zhou; Wei Fang; Luyuan Xie; Yanfeng Zhou; Lianyan Xu; Minfeng Xu; Ge Yang; Yuxing Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Opportunistic Bilateral Breast Cancer Analysis; Non-contrast Chest CT; Joint Detection and Classification; State Space Models
946	DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs Authors: Zhenhailong Wang; Senthil Purushwalkam; Caiming Xiong; Silvio Savarese; Heng Ji; Ran Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dynamic Length Visual Encoding; Vision-Language Models; Token Merging
947	DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance Authors: Max Du; Shuran Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: robotics; diffusion policy; generative model for robotics; inference-time steering
948	DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation Authors: Jiahui Wang; Changhao Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Navigation; Dynamic Neural Network
949	Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Authors: Yusheng Zhao; Qixin Zhang; Xiao Luo; Weizhi Zhang; Zhiping Xiao; Wei Ju; Philip S. Yu; Ming Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Text-Attributed Graphs; Large Language Models; Zero-Shot Inference
950	Dynamic Gaussian Splatting from Defocused and Motion-blurred Monocular Videos Authors: Xuankai Zhang; Junjin Xiao; Qing Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Novel View Synthesis; Dynamic Gaussian Splatting; Deblur
951	Dynamic Semantic-Aware Correlation Modeling for UAV Tracking Authors: Xinyu Zhou; Tongxin Pan; Lingyi Hong; Pinxue Guo; HaiJing Guo; Zhaoyu Chen; Kaixun Jiang; Wenqiang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: UAV Tracking; Semantic Awareness; Dynamic
952	Dynamic View Synthesis as an Inverse Problem Authors: Hidir Yesiltepe; Pinar Yanardag Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion; camera; motion; video
953	DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation Authors: Jiashuo Sun; Xianrui Zhong; Sizhe Zhou; Jiawei Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Large Language Models; Dynamic Reranking; Reinforcement Learning
954	DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Authors: Kairun Wen; Yuzhihuang; Runyu Chen; Hui Zheng; Yunlong Lin; Panwang Pan; Chenxin Li; Wenyan Cong; Jian Zhang; Junbin Lu; Chenguo Lin; Dilin Wang; Zhicheng Yan; Hongyu Xu; Justin T… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Metric‑Scale 4D Reconstruction; Automated Vision–Language Data Curation; Multimodal Dataset
955	E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models Authors: Jiaheng Dong; Hong Jia; Soumyajit Chatterjee; Abhirup Ghosh; James Bailey; Ting Dang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Speech Recognition; Online Learning
956	E-MoFlow: Learning Egomotion and Optical Flow from Event Data via Implicit Regularization Authors: Wenpu Li; Bangyan Liao; Yi Zhou; Qi Xu; Pian Wan; Peidong Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Self-Supervised Learning; 3D Vision; Optical flow Estimation; Motion Estimation; Event Camera
957	EA3D: Online Open-World 3D Object Extraction from Streaming Videos Authors: Xiaoyu Zhou; Jingqi Wang; Yuang Jia; Yongtao Wang; Deqing Sun; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Vision; Visual Understanding
958	EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction Authors: Hsi-Che Lin; Yu-Chu Yu; Kai-Po Chang; Yu-Chiang Frank Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Memory-efficient fine-tuning; Low-rank approximation
959	EPA: Boosting Event-based Video Frame Interpolation with Perceptually Aligned Learning Authors: Yuhan Liu; LingHui Fu; Zhen Yang; Hao Chen; Youfu Li; Yongjian Deng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event-Based Vision; Deep Learning; Computer Vision; Video Frame Interpolation
960	ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality Authors: Mingzhi Zhu; Ding Shang; Sai Qian Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Codec Avatar; PTQ; co-design; VR
961	Each Complexity Deserves a Pruning Policy Authors: Hanshi Wang; yuhao xu; Zekun Xu; Jin Gao; Yufan Liu; Weiming Hu; Ke Wang; Zhipeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Models; Pruning
962	Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models Authors: Guo Chen; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Max Ehrlich; Tong Lu; Limin Wang; Bryan Catanzaro; Jan Kautz; Andre… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Model; Multimodal LLM; Multimodal Learning; Data Strategy
963	EchoShot: Multi-Shot Portrait Video Generation Authors: Jiahao Wang; Hualian Sheng; Sijia Cai; Weizhan Zhang; Caixia Yan; Yachuang Feng; Bing Deng; Jieping Ye Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Portrait Video Generation; Multi-shot Video Modeling; Rotary Position Embedding; Portrait Video Dataset
964	EditInfinity: Image Editing with Binary-Quantized Generative Models Authors: Jiahuan Wang; Yuxin Chen; Jun Yu; Guangming Lu; Wenjie Pei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Editing; Text-to-Image Generation; Autoregressive Models
965	Efficient Multi-modal Large Language Models via Progressive Consistency Distillation Authors: Zichen Wen; Shaobo Wang; Yufa Zhou; Junyuan Zhang; Qintong Zhang; Yifeng Gao; Zhaorun Chen; Bin Wang; Weijia Li; Conghui He; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Efficiency; Multi-model Large Language Model; Token Compression
966	Efficient Part-level 3D Object Generation via Dual Volume Packing Authors: Jiaxiang Tang; Ruijie Lu; Max Li; Zekun Hao; Xuan Li; Fangyin Wei; Shuran Song; Gang Zeng; Ming-Yu Liu; Tsung-Yi Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Generation; Part Generation; Image-to-3D
967	Efficient Rectified Flow for Image Fusion Authors: Zirui Wang; Jiayi Zhang; Tianwei Guan; Yuhan Zhou; Xingyuan Li; Minjing Dong; Jinyuan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Fusion; Multi-modality Image Fusion; Infrared and Visible Image Fusion
968	Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space Authors: Zhengrui Ma; Yang Feng; Chenze Shao; Fandong Meng; Jie Zhou; Min zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: speech language modeling; autoregressive modeling; speech synthesis
969	Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks Authors: Fengmao Lv; Jitong Lei; Guosheng Lin; Desheng ZHENG; Jianyang Zhang; Tianrui Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multilingual CLIP; multilingual learning; cross-lingual transfer
970	EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining Authors: Boshen Xu; Yuting Mei; liu xinbi; Sipeng Zheng; Qin Jin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: egocentric vision; video-language pretraining; multi-task learning; 3D-aware video representation
971	EgoThinker: Unveiling Egocentric Reasoning with Spatio-Temporal CoT Authors: Baoqi Pei; Yifei Huang; Jilan Xu; Yuping He; Guo Chen; Fei Wu; Jiangmiao Pang; Yu Qiao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: egocentric video; video reasoning; multimodal large language models
972	Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping Authors: Martin Pelikan; Sheikh Shams Azam; Vitaly Feldman; Jan Silovsky; Kunal Talwar; Christopher Brinton; Tatiana Likhomanenko Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: automatic speech recognition; federated learning; differential privacy
973	Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer Authors: Zechuan Zhang; Ji Xie; Yu Lu; Zongxin Yang; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image editing; diffusion model; diffusion transformer; instruction-based image editing
974	End-to-End Low-Light Enhancement for Object Detection with Learned Metadata from RAWs Authors: Xuelin Shen; Haifeng Jiao; Yitong Wang; Yulin HE; Wenhan Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Low-light Object Detection; RAW Metadata; Learned Image Compression; Cross-Modal Context; Image Refinement for Machine
975	EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation Authors: Siyuan Huang; Liliang Chen; Pengfei Zhou; Shengcong Chen; Yue Liao; Zhengkai Jiang; Yue Hu; Peng Gao; Hongsheng Li; Maoqing Yao; Guanghui Ren Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Manipulation; robotics; World Models
976	Enhancing 3D Reconstruction for Dynamic Scenes Authors: Jisang Han; Honggyu An; Jaewoo Jung; Takuya Narihira; Junyoung Seo; Kazumi Fukuda; Chaehyun Kim; Sunghwan Hong; Yuki Mitsufuji; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction; 4D Reconstruction
977	Enhancing Consistency of Flow-Based Image Editing through Kalman Control Authors: Haozhe Chi; Zhicheng Sun; Yang Jin; Yi Ma; Jing Wang; Yadong MU Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Generation; Rectified Flows; Generative Modeling; Optimal Control; Image Editing
978	Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment Authors: Kaixun Jiang; Zhaoyu Chen; HaiJing Guo; Jinglun Li; Jiyuan Fu; Pinxue Guo; Hao Tang; Bo Li; Wenqiang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: unrestricted adversarial attack; preference alignment
979	Enhancing Infrared Vision: Progressive Prompt Fusion Network and Benchmark Authors: Jinyuan Liu; Zihang Chen; Zhu Liu; Zhiying Jiang; Long Ma; Xin Fan; Risheng Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: infrared image; fusion network; benchmark
980	Enhancing LLM Planning for Robotics Manipulation through Hierarchical Procedural Knowledge Graphs Authors: Jiacong Zhou; Jiaxu Miao; Xianyun Wang; Jun Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Model; Robotics Manipulation
981	Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Authors: Yu Zhang; Jialei Zhou; Xinchen Li; Qi Zhang; Zhongwei Wan; Duoqian Miao; Changwei Wang; Longbing Cao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Transformer; Text-to-Image Generation; Multimodel Learning; Large Language Model
982	Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting Authors: Jiahui Zhang; Zhengyang Zhou; Wenjie Du; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: long-term time series; information bottleneck
983	Evaluating Robustness of Monocular Depth Estimation with Procedural Scene Perturbations Authors: John Nugent; Siyang Wu; Zeyu Ma; Beining Han; Meenal Parakh; Abhishek Joshi; Lingjie Mei; Alexander Raistrick; Xinyuan Li; Jia Deng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision; 3d vision; procedural generation; evaluation; monocular depth estimation
984	Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting Authors: Jiawei Zhang; Youmin Zhang; Fabio Tosi; Meiying Gu; Jiahe Li; Xiaohan Yu; Jin Zheng; Xiao Bai; Matteo Poggi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: surface reconstruction; 3d gaussian splatting
985	Event-Driven Dynamic Scene Depth Completion Authors: Zhiqiang Yan; Jianhao Jiao; Zhengxue Wang; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: depth completion; event guidance; dynamic scene
986	Event-Guided Consistent Video Enhancement with Modality-Adaptive Diffusion Pipeline Authors: Kanghao Chen; Zixin Zhang; Guoqiang Liang; Lutao Jiang; Zeyu Wang; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event Camera; Video Enhancement; Diffusion model
987	EverybodyDance: Bipartite Graph–Based Identity Correspondence for Multi-Character Animation Authors: Haotian Ling; Zequn Chen; Qiuying Chen; Donglin Di; Yongjia Ma; Hao Li; Chen Wei; Zhulin Tao; Xun Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion model; Character animation
988	Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior Authors: Yue Gong; Raul Castro Fernandez Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Hypothesis Assessment; Knowledge Elicitation; Correlation Analysis; Correlation Prediction
989	Exploring and Leveraging Class Vectors for Classifier Editing Authors: Jaeik Kim; Jaeyoung Do Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Classifier Editing; Vision Transformer; Class Vector
990	Exploring the Limits of Vision-Language-Action Manipulation in Cross-task Generalization Authors: Jiaming Zhou; Ke Ye; Jiayi LIU; Teli Ma; Zifan Wang; Ronghe Qiu; Kun-Yu Lin; Zhilin Zhao; Junwei Liang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language-Action; Cross-task Generalizable Manipulation
991	Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation Authors: Moru Liu; Hao Dong; Jessica Ivy Kelly; Olga Fink; Mario Trapp Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Outlier Synthesis; Multimodal Learning; OOD Detection; OOD Segmentation
992	Eyes Wide Open: Ego Proactive Video-LLM for Streaming Video Authors: Yulin Zhang; Cheng Shi; Yang Wang; Sibei Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Egocentric Video Understanding; Multimodel Large Language Model; Streaming Understanding
993	FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Authors: Chao Wang; Yixin Song; Jinhui Ye; Chuan Qin; Dazhong Shen; Lingfeng Liu; Xiang Wang; Yanyong Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Recommendation System; Large Language Models; Interpretability
994	FAST: Foreground‑aware Diffusion with Accelerated Sampling Trajectory for Segmentation‑oriented Anomaly Synthesis Authors: Xichen Xu; Yanshu Wang; Jinbao Wang; XiaoNing Lei; Guoyang Xie; GUANNAN JIANG; Zhichao Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Anomaly synthesis; anomaly segmentation
995	FIPER: Factorized Features for Robust Image Super-Resolution and Compression Authors: Yang-Che Sun; Cheng Yu Yeo; Ernie Chu; Jun-Cheng Chen; Yu-Lun Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Super-resolution; Image compression
996	FLAME: Fast Long-context Adaptive Memory for Event-based Vision Authors: Biswadeep Chakraborty; Saibal Mukhopadhyay Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: state space models; event based vision; Adaptive Memory; sequence modeling
997	FLOWING: Implicit Neural Flows for Structure-Preserving Morphing Authors: Arthur Bizzi; Matias Grynberg Portnoy; Vitor Pereira Matias; Daniel Perazzo; João Paulo Silva do Monte Lima; Luiz Velho; Nuno Gonçalves; João M. Pereira; Guilherme Schardong; Tiag… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: flows; implicit neural representations; morphing; warping
998	FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network Authors: Fangtong Sun; Congyu Li; Ke Yang; Yuchen Pan; Hanwen Yu; Xichuan Zhang; Yiying Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Low-light Vision; Invariant Feature Extraction; Frequency Domain Analysis
999	Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning Authors: Fanrui Zhang; Dian Li; Qiang Zhang; Chenjun; sinbadliu; Junxiong Lin; Jiahong Yan; Jiawei Liu; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Misinformation Detection; Deep Reasoning
1000	FairDD: Fair Dataset Distillation Authors: Qihang Zhou; ShenHao Fang; Shibo He; Wenchao Meng; Jiming Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dataset Distillation; Dataset Condensation
1001	Fast Inference for Augmented Large Language Models Authors: Rana Shahout; Cong Liang; Shiji Xin; Qianru Lao; Yong Cui; Minlan Yu; Michael Mitzenmacher Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM inference and serving; Augmented LLM requests
1002	Fast-in-Slow: A Dual-System VLA Model Unifying Fast Manipulation within Slow Reasoning Authors: Hao Chen; Jiaming Liu; Chenyang Gu; Zhuoyang Liu; Renrui Zhang; Xiaoqi Li; Xiao He; Yandong Guo; Chi-Wing Fu; Shanghang Zhang; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robotic Manipulation; Vision-Language-Action Model; Dual-system policy
1003	FastJAM: a Fast Joint Alignment Model for Images Authors: Omri Hirsch; Ron Shapira Weber; Shira Ifergane; Oren Freifeld Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computer vision; graph neural network; GNN; image congealing; joint alignment
1004	FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing Authors: Shoutao Guo; Shaolei Zhang; Qingkai Fang; Zhengrui Ma; Min zhang; Yang Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spoken Language Understanding; Large Speech-Language Models; Speech Technologies
1005	Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos Authors: Hanxue Liang; Jiawei Ren; Ashkan Mirzaei; Antonio Torralba; Ziwei Liu; Igor Gilitschenski; Sanja Fidler; Cengiz Oztireli; Huan Ling; Zan Gojcic; Jiahui Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dynamic scene reconstruction; Generalizable Reconstruction; Reconstruction from Monocular Videos
1006	Fin3R: Fine-tuning Feed-forward 3D Reconstruction Models via Monocular Knowledge Distillation Authors: Weining Ren; Hongjun Wang; Xiao Tan; Kai Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconsturction; Knowledge Distillation; Fine-Tuning
1007	Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization Authors: Michael Green; Matan Levy; Issar Tzachor; Dvir Samuel; Nir Darshan; Rami Ben-Ari Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Retrieval; Instance Retrieval; Personalization; Feature Aggregation; Feature Optimization
1008	Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs Authors: Yifan Shen; Yuanzhe Liu; Jingyuan Zhu; Xu Cao; Xiaofeng Zhang; Yixiao He; Wenming Ye; James Matthew Rehg; Ismini Lourentzou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spatial Reasoning; Vision-Language Models; Fine-grained DPO; Long Chain-of-Thought
1009	Fix False Transparency by Noise Guided Splatting Authors: Aly El Hakie; Yiren Lu; Yu Yin; Michael W. Jenkins; Yehe Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Computer Graphics
1010	FlashMo: Geometric Interpolants and Frequency-Aware Sparsity for Scalable Efficient Motion Generation Authors: Zeyu Zhang; Yiran Wang; Danning Li; Dong Gong; Ian Reid; Richard Hartley Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Motion Generation; Diffusion Model
1011	FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies Authors: Dongyue Lu; Lingdong Kong; Gim Hee Lee; Camille Simon Chane; Wei Tsang Ooi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event cameras; Object detection; RGB-Event fusion; High-dynamic perception
1012	FlexSelect: Flexible Token Selection for Efficient Long Video Understanding Authors: Yunzhuzhang; Yu Lu; Tianyi Wang; Fengyun Rao; Yi Yang; Linchao Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodel LLM; long video understanding; token reduction
1013	FlexWorld: Progressively Expanding 3D Scenes for Flexible-View Exploration Authors: Luxi Chen; Zihan Zhou; Min Zhao; Yikai Wang; Ge Zhang; Wenhao Huang; Hao Sun; Ji-Rong Wen; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D scene generation; Diffusion model; 3D Gaussian Splatting
1014	FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation Authors: Yutong Feng; Xu Liu; Yutong Xia; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spatio-Temporal Data Mining; Dynamic System Modeling
1015	FlowRefiner: A Robust Traffic Classification Framework against Label Noise Authors: Mingwei Zhan; Ruijie Zhao; Xianwen Deng; Zhi Xue; Qi Li; Zhuotao Liu; Guang Cheng; Ke Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Traffic Classification; Label Noise Learning; Robust Network Traffic Analysis
1016	ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection Authors: Zhihao Sun; Haoran Jiang; Haoran Chen; Yixin Cao; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Manipulation Detection Assistant; Chain-of-Clues; Multimodal Large Language Model
1017	FracFace: Breaking the Visual Clues—Fractal-Based Privacy-Preserving Face Recognition Authors: Wanying Dai; Beibei Li; Naipeng Dong; Guangdong Bai; Jin Song Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Privacy Preserving; Facial Recognition; Fractal; Visual Privacy; Defending Reconstruction Attack
1018	Free-Lunch Color-Texture Disentanglement for Stylized Image Generation Authors: Jiang Qin; Alexandra Gomez-Villa; Senmao Li; Shiqi Yang; Yaxing Wang; Kai Wang; Joost van de Weijer Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion models; style transfer; disentangled stylized image generation
1019	FreeControl: Efficient, Training-Free Structural Control via One-Step Attention Extraction Authors: Jiang Lin; Xinyu Chen; Song Wu; Zhiqiu Zhang; Jizhi Zhang; Ye Wang; Qiang Tang; qian Wang; Jian Yang; Zili Yi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion models; Controlled Image Generation
1020	From Pose to Muscle: Multimodal Learning for Piano Hand Muscle Electromyography Authors: RUOFAN LIU; YICHEN PENG; Takanori Oku; Chen-Chieh Liao; Erwin Wu; Shinichi Furuya; Hideki Koike Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Learning; Electromyography Estimation; Muscle Analysis
1021	From Programs to Poses: Factored Real-World Scene Generation via Learned Program Libraries Authors: Joy Hsu; Emily Jin; Jiajun Wu; Niloy Mitra Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: factorized scene generation; program structure; object poses
1022	Fully Spiking Neural Networks for Unified Frame-Event Object Tracking Authors: Jingjun Yang; Liangwei Fan; Jinpu Zhang; Xiangkai Lian; Hui Shen; Dewen Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object tracking; Spiking neural networks; Frame-Event fusion
1023	FuncGenFoil: Airfoil Generation and Editing Model in Function Space Authors: Jinouwen Zhang; Junjie Ren; Qianhong Ma; Jianyu Wu; Aobo Yang; Yan Lu; Lu Chen; Hairun Xie; Jing Wang; Miao Zhang; Wanli Ouyang; SHIXIANG TANG Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generative Model; AI for Engineering; Generative Model in Function Space; Flow Model
1024	Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism Authors: Ziyang Zheng; Kezhi Li; Zhengyuan Shi; Qiang Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: subgraph; circuit; function
1025	Fuse2Match: Training-Free Fusion of Flow, Diffusion, and Contrastive Models for Zero-Shot Semantic Matching Authors: Jing Zuo; Jiaqi Wang; Yonggang Qi; Yi-Zhe Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dense Correspondence; Diffusion models; Zero-Shot Semantic Matching
1026	Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution Authors: Bozhou Zhang; Nan Song; jingyu li; Xiatian Zhu; Jiankang Deng; Li Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: autonomous driving; end-to-end; world model
1027	GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning Authors: Jusheng Zhang; Yijia Fan; Wenjun Lin; Ruiqi Chen; Haoyi Jiang; Wenhao Chai; Jian Wang; Keze Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Agent; Uncertainty; Visual Language Model
1028	GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images Authors: Xiang Lan; Feng Wu; Kai He; Qinghao Zhao; Shenda Hong; Mengling Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Model; ECG; Time Series; Medical AI
1029	GLVD: Guided Learned Vertex Descent Authors: Pol Caselles; Francesc Moreno-Noguer Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computer Vision; 3D Face Reconstruction; Neural Fields; Few-Shot 3D Reconstruction
1030	GOATex: Geometry & Occlusion-Aware Texturing Authors: Hyunjin Kim; Kunho Kim; Adam Lee; Wonkwang Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D; Mesh; Texturing
1031	GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers Authors: Guang Liang; Xinyao Liu; Jianxin Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: quantization-aware training; vision transformers; practical QAT
1032	GRIP: A Graph-Based Reasoning Instruction Producer Authors: Jiankang Wang; Jianjun Xu; Xiaorui Wang; Yuxin Wang; Mengting Xing; Shancheng Fang; Hongtao Xie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Data Synthesis
1033	GRIT: Teaching MLLMs to Think with Images Authors: Yue Fan; Xuehai He; Diji Yang; Kaizhi Zheng; Ching-Chen Kuo; Yuting Zheng; Xinze Guan; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Reasoning model; Reinforcement learning
1034	GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification Authors: Qiao Li; Jie Li; Yukang Zhang; Lei Tan; Jing Chen; Jiayi Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Aerial-Grounded Person Re-identification
1035	GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization Authors: Shangshu Yu; Wen Li; Xiaotian Sun; Zhimin Yuan; Xin Wang; Sijie Wang; Rui She; Cheng Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LiDAR Localization; Geospatial Text Regularization; Scene Coordinate Regression
1036	GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior Authors: Penghao Wu; Shengnan Ma; Bo Wang; Jiaheng Yu; Lewei Lu; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: GUI Agent; Multimodal Large Languge Model; Vision Language Model; Reflection
1037	GUI-Rise: Structured Reasoning and History Summarization for GUI Navigation Authors: Tao Liu; Chongyu Wang; Rongjie Li; Yingchen Yu; Xuming He; Song Bai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: GUI agents; Multimodal large language models; Reinforcement learning
1038	GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation Authors: Sohyun Lee; Yeho Gwon; Lukas Hoyer; Suha Kwak Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robustness; Segment Anything Model; LoRA
1039	GauDP: Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies Authors: Ziye Wang; Li Kang; Yiran Qin; Jiahua Ma; zhanglin peng; LEI BAI; Ruimao Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Reconstruction; Diffusion Policy; 3D Scene Representation; Robot Action Generation
1040	Gaussian-Augmented Physics Simulation and System Identification with Complex Colliders Authors: Federico Vasile; Ri-Zhao Qiu; Lorenzo Natale; Xiaolong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: System Identifications from Videos; Gaussian Splatting; Physics Simulation
1041	GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion Authors: Jiayi Tian; Haiduo Huang; Tian Xia; Wenzhe zhao; Pengju Ren Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Point Cloud Registration; Geometric-Color Fusion; Geometric-3DGS; Color Encoding; LORA; Differentiable Rendering; Photometric Loss; Low Overlap Scenarios; Robu…
1042	GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data Authors: Wentao Wang; Hang Ye; Fangzhou Hong; Xue Yang; Jianfu Zhang; Yizhou Wang; Ziwei Liu; Liang Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Human Reconstruction; Multi-source Human Dataset; Single Image-3D Reconstruction
1043	General-Reasoner: Advancing LLM Reasoning Across All Domains Authors: Xueguang Ma; Qian Liu; Dongfu Jiang; Ge Zhang; Zejun MA; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language model; reasoning; reinforcement learning
1044	Generalizable Hand-Object Modeling from Monocular RGB Images via 3D Gaussians Authors: Xingyu Liu; Pengfei Ren; Qi Qi; Haifeng Sun; Zirui Zhuang; Jing Wang; Jianxin Liao; Jingyu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Hand-object reconstruction; 3D Gaussian Splatting
1045	Generalized Contrastive Learning for Universal Multimodal Retrieval Authors: Jungsoo Lee; Janghoon Cho; Hyojin Park; Munawar Hayat; Kyuwoong Hwang; Fatih Porikli; Sungha Choi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal Retrieval; unified representation space; generalized contrastive learning
1046	Generalizing Experience for Language Agents with Hierarchical MetaFlows Authors: Shengda Fan; Xin Cong; Zhong Zhang; Yuepeng Fu; Yesai Wu; Hao Wang; Xinyu Zhang; Enrui Hu; Yankai Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: agent; workflow; large language models
1047	Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection Authors: Junxi Chen; Liang Li; Yunbin Tu; Li Su; Zhe Xue; Qingming Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Anomaly Detection; Inexact Supervision; Single Frame Supervision
1048	Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Authors: Tsung-Han Wu; Heekyung Lee; Jiaxin Ge; Joseph E. Gonzalez; Trevor Darrell; David M. Chan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Hallucination Reduction; Hallucination Verification; Retrospective Resampling
1049	Generating Creative Chess Puzzles Authors: Xidong Feng; Vivek Veeriah; Marcus Chiam; Michael D Dennis; Federico Barbero; Johan Obando-Ceron; Jiaxin Shi; Satinder Singh; Shaobo Hou; Nenad Tomasev; Tom Zahavy Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: chess puzzle; creativity; generative model
1050	Generating Physically Sound Designs from Text and a Set of Physical Constraints Authors: Gregory Barber; Todd Henry; Mulugeta A Haile Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative design; structural optimization; text-image generation; differentiable physics simulation
1051	Generative Perception of Shape and Material from Differential Motion Authors: Xinran Han; Ko Nishino; Todd Zickler Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative perception; diffusion models; mid-level vision; perceptual ambiguity; shape reconstruction; material estimation
1052	Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation Authors: Edward Fish; Richard Bowden Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sign Language Translation; Graph Neural Networks; Contrastive Learning
1053	GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models Authors: Zhanwei Zhang; kaiyuan liu; Junjie Liu; Wenxiao Wang; Binbin Lin; Liang Xie; Chen Shen; Deng Cai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: CAD generation; large language model
1054	GeoComplete: Geometry-Aware Diffusion for Reference-Driven Image Completion Authors: Beibei Lin; Tingting Chen; Robby T. Tan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Reference-Driven Image Completion
1055	Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges Authors: Tao Zhong; Jonah Buchanan; Christine Allen-Blanchette Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: dexterous grasping; generative modeling; robotic manipulation; robot learning
1056	Grounded Reinforcement Learning for Visual Reasoning Authors: Gabriel Herbert Sarch; Snigdha Saha; Naitik Khandelwal; Ayush Jain; Michael J. Tarr; Aviral Kumar; Katerina Fragkiadaki Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: visual reasoning; vision-language models; reinforcement learning; visual grounding
1057	Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes Authors: Kaiqing Lin; Zhiyuan Yan; Ke-Yue Zhang; Li Hao; Yue Zhou; Yuzhen Lin; Weixiang Li; Taiping Yao; Shouhong Ding; Bin Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Personalized Deepfake Detection; Multi-media Forensic; Face Recognition; MLLMs
1058	GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer Authors: Sayan Deb Sarkar; Sinisa Stekovic; Vincent Lepetit; Iro Armeni Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Diffusion; 3D Appearance Transfer; Generative Guidance
1059	H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting Authors: Bing He; Yunuo Chen; Guo Lu; Qi Wang; Qunshan Gu; Rong Xie; Li Song; Wenjun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3DGS; 3D motion representation; dynamic scene reconstruction; streaming reconstruction
1060	HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance Authors: Jue Gong; Tingyu Yang; Jingkai Wang; Zheng Chen; Xing Liu; Hong Gu; Yulun Zhang; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Low-level Vision; Diffusion Model; Human Body Restoration
1061	HCRMP: An LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Authors: Zhiwen Chen; Hanming Deng; Zhuoren Li; Huanxi Wen; Guizhe Jin; Ran Yu; Bo Leng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Autonomous Driving，Motion Planning
1062	HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery Authors: Vaibhav Rathore; Divyam Gupta; Biplab Banerjee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Domain Generalization; Category Discovery; Hyperbolic Spaces
1063	HMVLM:Human Motion-Vision-Language Model via MoE LoRA Authors: Lei Hu; Yongjing Ye; Shihong Xia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal; Motion synthesis; Pose Estimation; Foundation Model
1064	HOComp: Interaction-Aware Human-Object Composition Authors: Dong Liang; Jinyuan Jia; Yuhao LIU; Rynson W. H. Lau Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human-Object Interactions; Image Composition
1065	HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis Authors: Mirela Ostrek; Michael J. Black; Justus Thies Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Text-to-Image Synthesis; Human Head Texturing; 3D Face Synthesis; Facial Texture Generation; FLAME Head Mesh Texturing; Generative Texture Models; 3D Texture M…
1066	Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Authors: Kuan Zhang; Chengliang Chai; Jingzhe Xu; Chi Zhang; Han Han; Ye Yuan; Guoren Wang; Lei Cao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computer vision; learning with noisy labels; robustness
1067	Hawaii: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models Authors: Yimu Wang; Mozhgan Nasr Azadani; Sean Sedwards; Krzysztof Czarnecki Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision Language Model; Knowledge Distillation
1068	Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems Authors: Shangbin Feng; Zifeng Wang; Palash Goyal; Yike Wang; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: model collaboration; multi-LLM systems
1069	Hierarchical Demonstration Order Optimization for Many-shot In-Context Learning Authors: Yinhan He; Wendy Zheng; Song Wang; Zaiyi Zheng; Yushun Dong; Yaochen Zhu; Jundong Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: in-context learning; demonstration order optimization
1070	Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Authors: Harold Haodong Chen; Haojian Huang; Qifeng Chen; Harry Yang; Ser-Nam Lim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Direct Preference Optimization; Video Generation
1071	Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation Authors: Xiang Fang; Wanlong Fang; Changshuo Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Hierarchical Semantic-Augmented Navigation
1072	High Dynamic Range Imaging with Time-Encoding Spike Camera Authors: Zhenkun Zhu; Ruiqin Xiong; Jiyu Xie; Yuanlin Wang; Xinfeng Zhang; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spike Camera; High Dynamic Range; Imaging
1073	High Resolution UDF Meshing via Iterative Networks Authors: Federico Stella; Nicolas Talabot; Hieu Le; Pascal Fua Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: unsigned distance fields; udf; meshing; surface extraction; neural implicit representations
1074	Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval Authors: Siting Li; Xiang Gao; Simon Shaolei Du Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: text-to-image retrieval; image embeddings
1075	HoliGS: Holistic Gaussian Splatting for Embodied View Synthesis Authors: Xiaoyuan Wang; Yizhou Zhao; Botao Ye; Xiaojun Shan; Weijie Lyu; Lu Qi; Kelvin C.K. Chan; Yinxiao Li; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied AI; Embodied View Synthesis; Gaussian Splatting
1076	Holistic Large-Scale Scene Reconstruction via Mixed Gaussian Splatting Authors: Chuandong Liu; Huijiao Wang; Lei YU; Gui-Song Xia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaussian Splatting; Large-Scale Scene; 3D Reconstruction; Novel View Synthesis
1077	How Does Topology Bias Distort Message Passing in Graph Recommender? A Dirichlet Energy Perspective Authors: Yanbiao Ji; Yue Ding; Dan Luo; Chang Liu; Yuxiang Lu; Xin Xin; Hongtao Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Simplicial Complex; Recommender System; Dirichlet Energy
1078	HumanCrafter: Synergizing Generalizable Human Reconstruction and Semantic 3D Segmentation Authors: Panwang Pan; Tingting Shen; Chenxin Li; Yunlong Lin; Kairun Wen; Jingjing Zhao; Yixuan Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaussian Splatting; Semantic 3D Constructs; versatile view synthesis
1079	HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis Authors: Heyuan Li; Kenkun Liu; Lingteng Qiu; Qi Zuo; Keru Zheng; Zilong Dong; Xiaoguang Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d Head Generation; 3d-aware GANs; tri-plane representation
1080	HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis Authors: Zipeng Wang; Dan Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Neural Radiance Fields; 3D Gaussian Splatting
1081	Hyper-Modality Enhancement for Multimodal Sentiment Analysis with Missing Modalities Authors: Yan Zhuang; Minhao LIU; Wei Bai; Yanru Zhang; Wei Li; Jiawen Deng; Fuji Ren Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal sentiment analysis; incomplete learning
1082	I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions Authors: Shuhong Liu; Lin Gu; Ziteng Cui; Xuangeng Chu; Tatsuya Harada Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction
1083	IBGS: Image-Based Gaussian Splatting Authors: Hoang Chuong Nguyen; Wei Mao; Jose M. Alvarez; Miaomiao Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D vision; novel-view synthesis
1084	IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector Authors: Zheng CHEN; Yushi Feng; Jisheng Dang; Changyang He; Yue Deng; Hongxi Pu; Haoxuan Li; Bo Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: AI Detection; Prompt Inversion; Large Language Models; Explainability; AI Safety
1085	IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals Authors: Markus Gross; Aya Fahmy; Danit Niwattananan; Dominik Muhle; Rui Song; Daniel Cremers; Henri Meeß Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Segmentation; Panoptic Scene Completion; Semantic Scene Completion; Scene Understanding; 3D Computer Vision
1086	Image Editing As Programs with Diffusion Models Authors: Yujia Hu; Songhua Liu; Zhenxiong Tan; Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Editing; Diffusion Transformer
1087	Image Stitching in Adverse Condition: A Bidirectional-Consistency Learning Framework and Benchmark Authors: Zengxi Zhang; Junchen Ge; Zhiying Jiang; Miao Zhang; Jinyuan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image stitching; deep learning; computervision
1088	Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation Authors: Dongnan Gui; Xun Guo; Wengang Zhou; Yan Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: visual world model; panoramic video generation
1089	Imagine360: Immersive 360 Video Generation from Perspective Anchor Authors: Jing Tan; Shuai Yang; Tong Wu; Jingwen He; Yuwei Guo; Ziwei Liu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video generation; video outpainting; panorama video generation; 360 video generation
1090	Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing Authors: Daniele Baieri; Filippo Maggioli; Emanuele Rodolà; Simone Melzi; Zorah Lähner Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: neural fields; sdf; deformations; arap; geometry; implicit
1091	Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding Authors: Daiqing Qi; Dongliang Guo; Hanzhang Yuan; Handong Zhao; Mengxuan Hu; Lehan Yang; Sheng Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Video Large Language Model
1092	Improved Training Technique for Shortcut Models Authors: Anh Nguyen; Viet Van Nguyen; Duc Vu; Trung Tuan Dao; Chi Tran; Toan Tran; Anh Tuan Tran Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative models
1093	Improving Generative Behavior Cloning via Self-Guidance and Adaptive Chunking Authors: Junhyuk So; Chiwoong Lee; Shinyoung Lee; Jungseul Ok; Eunhyeok Park Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robot Learning; Behavior Cloning; Diffusion Model; Guidance
1094	Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation Authors: Dail Kim; Joon-Hyuk Chang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Target Sound Extraction; Privileged Knowledge distillation; Disentangled Representation Learning; Neural Audio Codec; Feature-level Knowledge Distillation
1095	Improving Time Series Forecasting via Instance-aware Post-hoc Revision Authors: Zhiding Liu; Mingyue Cheng; GuanHao Zhao; Jiqian Yang; Qi Liu; Enhong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time Series Forecasting; Post-Processing
1096	Increasing the Utility of Synthetic Images through Chamfer Guidance Authors: Nicola Dall'Asen; Xiaofeng Zhang; Reyhane Askari-Hemmat; Melissa Hall; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion models; synthetic data diversity; guidance-based generation
1097	Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search Authors: Yuta Oshima; Masahiro Suzuki; Yutaka Matsuo; Hiroki Furuta Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Inference-Time Search; Text-to-Video Generation; Diffusion Models; Alignment
1098	InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model Authors: Junqi You; Chieh Hubert Lin; Weijie Lyu; Zhengbo Zhang; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Inpainting
1099	Instance-Level Composed Image Retrieval Authors: Bill Psomas; George Retsinas; Nikos Efthymiadis; Panagiotis Filntisis; Yannis Avrithis; Petros Maragos; Ondrej Chum; Giorgos Tolias Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Retrieval; Composed Image Retrieval; Vision-Language Models; Transformers; Instance-Level
1100	Instant Video Models: Universal Adapters for Stabilizing Image-Based Networks Authors: Matthew Dutson; Nathan Labiosa; Yin Li; Mohit Gupta Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computer vision; temporal consistency; robustness; video; denoising; image enhancement; depth estimation; semantic segmentation
1101	Instant4D: 4D Gaussian Splatting in Minutes Authors: Zhanpeng Luo; Haoxi Ran; Li Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 4D Reconstruction; Casual Video
1102	InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning Authors: Haotian Chi; Zeyu Feng; Yueming Lyu; Chengqi Zheng; Linbo Luo; Yew-Soon Ong; Ivor Tsang; Hechang Chen; Yi Chang; Haiyan Yin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code generation; Task planning; Large language models
1103	InstructRestore: Region-Customized Image Restoration with Human Instructions Authors: Shuaizheng Liu; Jianqi Ma; Lingchen Sun; Xiangtao Kong; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: real-world general restoration; real-world super-resolution; bokeh tuning; human instruction; region-customized; local enhancement; consistent local control; c…
1104	InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition Authors: Yijie Zheng; Weijie Wu; Qingyun Li; Xuehui Wang; Xu Zhou; Aiai Ren; Jun Shen; Long Zhao; Guoqing Li; Xue Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: object recognition; remote sensing; vision-language model
1105	Interaction-Centric Knowledge Infusion and Transfer for Open Vocabulary Scene Graph Generation Authors: Lin Li; Chuhan ZHANG; Dong Zhang; Chong Sun; Chen Li; Long Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open Vocabulary Scene Graph Generation; Weakly Supervised Pre-training; Interaction-Centric Knowledge Infusion; Interaction-Centric Knowledge Transfer
1106	Interactive Anomaly Detection for Articulated Objects via Motion Anticipation Authors: Ankan Kumar Bhunia; Changjian Li; Hakan Bilen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: articulated objects; anomaly detection; active vision
1107	Interpreting Emergent Features in Deep Learning-based Side-channel Analysis Authors: Sengim Karayalcin; Marina Krček; Stjepan Picek Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mechanistic interpretability; Deep learning-based Side-channel analysis; Explainability; Neural networks
1108	Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats Authors: Jiaye Qian; Ge Zheng; Yuchen Zhu; Sibei Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Vision-Language Models; Hallucinations
1109	IntrinsiX: High-Quality PBR Generation using Image Priors Authors: Peter Kocsis; Lukas Höllein; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Synthesis; Diffusion; Intrinsic Images; Rendering; Texturing; Deep Learning
1110	Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Authors: Hao Wang; zhengnan li; Zhichao Chen; Xu Chen; Shuting He; Guangyi Liu; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: missing data imputation; missing data completion; missing value imputation; kernel; ridge regression; non-missing feature
1111	Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning Authors: Pengxiang Li; Zhi Gao; Bofei Zhang; Yapeng Mi; Xiaojian Ma; Chenrui Shi; Tao Yuan; Yuwei Wu; Yunde Jia; Song-Chun Zhu; Qing Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Tool usage; Multimodal agents
1112	Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence Authors: Octave Mariotti; Zhipeng Du; Yash Sanjay Bhalgat; Oisin Mac Aodha; Hakan Bilen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semantic Correspondence; Evaluation; Generalization; Representation Learning
1113	Janus-Pro-R1: Advancing Collaborative Visual Comprehension and Generation via Reinforcement Learning Authors: Kaihang Pan; Yang Wu; Wendong Bu; Kai Shen; Juncheng Li; Yingting Wang; liyunfei; Siliang Tang; Jun Xiao; Fei Wu; ZhaoHang; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image generation; Image understanding
1114	JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent Authors: Yunlong Lin; ZiXu Lin; Kunjie Lin; Jinbin Bai; Panwang Pan; Chenxin Li; Haoyu Chen; Zhongdao Wang; Xinghao Ding; Wenbo Li; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: AI agent; Photo retouching; Vision-foundation model
1115	Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation Authors: JiYuan Wang; Chunyu Lin; cheng guan; Lang Nie; Jing He; Haodong Li; Kang Liao; Yao Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: depth estimation; self-supervision; diffusion models; generative model
1116	K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling Authors: Yongrui Chen; Yi Huang; Yunchang Liu; Shenyu Zhang; Junhao He; Tongtong Wu; Guilin Qi; Tianxing Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: structured knowledge reasoning; continual learning; large language models
1117	KGGen: Extracting Knowledge Graphs from Plain Text with Language Models Authors: Belinda Mo; Kyssen Yu; Joshua Kazdan; Proud Mpala; Lisa Yu; Charilaos I. Kanatsoulis; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: knowledge graph; KG; synthetic data; data generation
1118	KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning Authors: Wei Sun; Wen Yang; Pu Jian; Qianlong Du; Fuwei Cui; Shuo Ren; Jiajun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large language model; Reinforcement learning; Mathematical reasoning
1119	Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation Authors: Yangtao Zhou; Hua Chu; Yongxiang Chen; Ziwen Wang; Jiacheng Liu; Jianan Li; Yueying Feng; Xiangming Li; Zihan Han; Qingshan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Exercise Generative Recommendation; Knowledge State Perception; Personalized Learning; Multi-agent Cooperation
1120	L2RSI: Cross-view LiDAR-based Place Recognition for Large-scale Urban Scenes via Remote Sensing Imagery Authors: Ziwei Shi; Xiaoran Zhang; Wenjing Xu; Yan Xia; Yu Zang; Siqi Shen; Cheng Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Cross-view LiDAR-based Place Recognition; Point cloud; Remote sensing imagery
1121	LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding Authors: Shen Zhang; Siyuan Liang; Yaning Tan; Zhaowei Chen; Linze Li; Ge Wu; Yuhao Chen; Shuheng Li; Zhenyu Zhao; Caihua Chen; Jiajun Liang; Yao Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Transformer; Length Extrapolation
1122	LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling Authors: Yang Xiao; Jessie Wang; Ruifeng Yuan; Chunpu Xu; Kaishuai Xu; Wenjie Li; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; reasoning; Test-time Scaling
1123	LLM-PySC2: Starcraft II learning environment for Large Language Models Authors: Zongyuan Li; Yanan Ni; Runnan Qi; Chang Lu; Lumin Jiang; Xu Xiaojie; Xiangbei Liu; Pengfei Li; Yunzheng Guo; Zhe Ma; Huanyu Li; wu hui; Guo Xian; Kuihua Huang; Xuebo Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Model; Decision-Making; Multi-Agent; StarCraft II Environment
1124	LMFusion: Adapting Pretrained Language Models for Multimodal Generation Authors: Weijia Shi; Xiaochuang Han; Chunting Zhou; Weixin Liang; Xi Victoria Lin; Luke Zettlemoyer; LILI YU Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal
1125	LVLM-Driven Attribute-Aware Modeling for Visible-Infrared Person Re-Identification Authors: Zhiqi Pang; Lingling Zhao; Junjie Wang; Chunyu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: visible-infrared person re-identification; large vision-language model; unsupervised learning; contrastive learning
1126	LabelAny3D: Label Any Object 3D in the Wild Authors: Jin Yao; Radowan Mahmud Redoy; Sebastian Elbaum; Matthew B. Dwyer; Zezhou Cheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open Vocabulary; 3D Detection; Object Recognition
1127	LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation Authors: Yang Miao; Jan-Nico Zaech; Xi Wang; Fabien Despinoy; Danda Pani Paudel; Luc Van Gool Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object Part Segmentation; Language Grounding; Multi-modality; Multimodal Large Language Model
1128	LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS Authors: Wanhua Li; Yujie Zhao; Minghan Qin; Yang Liu; Yuanhao Cai; Chuang Gan; Hanspeter Pfister Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaussian Splatting; Real time; Language Field
1129	Language‑Bias‑Resilient Visual Question Answering via Adaptive Multi‑Margin Collaborative Debiasing Authors: Huanjia Zhu; Shuyuan Zheng; Yishu Liu; Sudong Cai; Bingzhi Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Language biases; Multi-margin; Debiasing; Frequency-aware; Confidence-aware; Difficulty-aware
1130	Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving Authors: Hossein Askari; Yadan Luo; Hongfu Sun; Fred Roosta Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Inverse Problems; Flow Matching; Posterior Sampling; ODE-based Inference; Training-Free Methods
1131	Lattice Boltzmann Model for Learning Real-World Pixel Dynamicity Authors: Guangze Zheng; Shijie Lin; Haobo Zuo; Si Si; Ming-Shan Wang; Changhong Fu; Jia Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: physics-inspired; point tracking; object tracking; online; real-time; dynamicity; lattice Boltzmann model; collision; streaming
1132	LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration Authors: Yuyao Zhang; Jinghao Li; Yu-Wing Tai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-control image generation; Diffusion Transformer; LLM agent framework
1133	LeVo: High-Quality Song Generation with Multi-Preference Alignment Authors: Shun Lei; Yaoxun Xu; ZhiweiLin; Huaicheng Zhang; Wei tan; Hangting Chen; Yixuan Zhang; Chenyu Yang; Haina Zhu; Shuai Wang; Zhiyong Wu; Dong Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Song generation; Music generation; Language Model; Direct Preference Optimization; Multi-Preference Alignment
1134	Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning Authors: Ziqi Gu; Chunyan Xu; Wenxuan Fang; Xin Liu; Yide Qiu; Zhen Cui Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-domain task incremental learning; Schrödinger Bridge
1135	Learning 3D Persistent Embodied World Models Authors: Siyuan Zhou; Yilun Du; Yuncong Yang; Lei Han; Peihao Chen; Dit-Yan Yeung; Chuang Gan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied World Models
1136	Learning Dense Hand Contact Estimation from Imbalanced Data Authors: Daniel Sungho Jung; Kyoung Mu Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Hand contact estimation; Hand-object interaction
1137	Learning Differential Pyramid Representation for Tone Mapping Authors: Qirui Yang; Yinbo Li; Yihao Liu; Peng-Tao Jiang; zhangfangpu; cheng qihua; Huanjing Yue; Jingyu Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computational Photography; Tone Mapping
1138	Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting Authors: Yiming Wang; Lucy Chai; Xuan Luo; Michael Niemeyer; Manuel Lagunas; Stephen Lombardi; Siyu Tang; Tiancheng Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Feed-forward Models; 3D Gaussian Splatting; Novel View Synthesis; Streaming Reconstruction
1139	Learning Human-Object Interaction as Groups Authors: Jiajun Hong; Jianan Wei; Wenguan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: human object interaction; graph models; visual relationship understanding
1140	Learning Neural Exposure Fields for View Synthesis Authors: Michael Niemeyer; Fabian Manhardt; Marie-Julie Rakotosaona; Michael Oechsle; Christina Tsalicoglou; Keisuke Tateno; Jonathan T. Barron; Federico Tombari Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: neural radiance fields; view synthesis; exposure
1141	Learning Relative Gene Expression Trends from Pathology Images in Spatial Transcriptomics Authors: Kazuya Nishimura; Haruka Hirose; Ryoma Bise; Kaito Shiku; Yasuhiro Kojima Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spatial Transcriptomics; pathology image; learning to rank; gene expression
1142	Learning Simple Interpolants for Linear Integer Arithmetic Authors: Minchao Wu; Naoki Kobayashi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Craig interpolation; Formal verification; Machine learning for logic; Linear integer arithmetic
1143	Learning Skill-Attributes for Transferable Assessment in Video Authors: Kumar Ashutosh; Kristen Grauman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video understanding; Skill assessment
1144	Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification Authors: Yongxiang Li; Yanglin Feng; Yuan Sun; Dezhong Peng; Xi Peng; Peng Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Source-Free Domain Adaptation; Visible-Infrared Person Re-Identification; Residual Transfer Learning
1145	Learning Spatial-Aware Manipulation Ordering Authors: Yuxiang Yan; Zhiyuan Zhou; Xin Gao; Guanghao Li; Shenglin Li; Jiaqi Chen; Qunyan Pu; Jian Pu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: object manipulation; cluttered environment
1146	Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance Authors: Meng Wang; Fan Wu; Ruihui Li; Qin Yunchuan; Zhuo Tang; Kenli Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semantic Scene Completion; autonomous driving
1147	Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL Authors: Songjun Tu; Jiahao Lin; Qichao Zhang; Xiangyu Tian; Linjing Li; Xiangyuan Lan; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Reasoning; Adaptive Thinking; Reinforcement Learning
1148	Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization Authors: Hao Zheng; Jingjun Yi; Qi Bi; Huimin Huang; Haolan Zhan; Yawen Huang; Yuexiang Li; Xian Wu; Yefeng Zheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Domain Generalization; Schrödinger Bridge; Image-Text Alignment; Optimal Transport
1149	Learning to Generate Human-Human-Object Interactions from Textual Descriptions Authors: Jeonghyeon Na; Sangwon Baik; Inhee Lee; Junyoung Lee; Hanbyul Joo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generative Model; Human-Human Interactions; Human-Object Interactions
1150	Learning to Rank for In-Context Example Retrieval Authors: Yuwen Ji; Luodan Zhang; Ambyerhan; Haoran Que; Lei Shi; Wang Chao; Yue Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: few-shot learning; in-context learning
1151	Leaving No OOD Instance Behind: Instance-Level OOD Fine-Tuning for Anomaly Segmentation Authors: YUXUAN ZHANG; Zhenbo Shi; Han ye; Shuchang Wang; Zhidong Yu; Shaowei Wang; Wei Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Computer Vision; Semantic Segmentation; Out-of-distribution Detection; Outlier Exposure
1152	Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior Authors: Yulin Li; Haokun GUI; Ziyang Fan; Junjie Wang; Bin Kang; BIN CHEN; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Efficient Large Multimodal Models; Video Large Language Models; Token Pruning
1153	Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve Authors: Yuanzhe Liu; Ryan Deng; Tim Kaler; Xuhao Chen; Charles Leiserson; Yao Ma; Jie Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi Agent; Large Language Model; Code Optimization
1154	Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation Authors: Zhe Kong; Feng Gao; Yong Zhang; Zhuoliang Kang; Xiaoming Wei; Xunliang Cai; Guanying Chen; Wenhan Luo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: aigc; digital human; video generation
1155	Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation Authors: Siyu Chen; Ting Han; Chengzheng Fu; Changshe Zhang; Chaolei Wang; Jinhe Su; Guorong Cai; Meiliu Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Domain Generalized; Open-Vocabulary; Depth Aware; Semantic Segmentation; Attention optimization
1156	Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models Authors: Yi Liu; Dianqing Liu; Mingye Zhu; Junbo Guo; Yongdong Zhang; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Alignment of Large Language Models; Importance Sampling
1157	Leveraging robust optimization for llm alignment under distribution shifts Authors: Mingye Zhu; Yi Liu; Zheren Fu; Yongdong Zhang; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: preference alignment; distribution shifts; robust optimization
1158	Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace Authors: Dexin Duan; Rui Xu; Peilin Liu; Fei Wen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Test-time Adaptation; Continual adaptation; Low-dimensional subspace
1159	LinPrim: Linear Primitives for Differentiable Volumetric Rendering Authors: Nicolas von Lützow; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Novel View Synthesis; Real-Time Rendering; Scene Representations
1160	LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans Authors: Zhening Huang; Xiaoyang Wu; Fangcheng Zhong; Hengshuang Zhao; Matthias Nießner; Joan Lasenby Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction; Appearance Modeling; Graphics-Ready Reconstruction
1161	LiveStar: Live Streaming Assistant for Real-World Online Video Understanding Authors: Zhenyu Yang; Kairui Zhang; Yuhang Hu; Bing Wang; Shengsheng Qian; Bin Wen; Fan Yang; Tingting Gao; Weiming Dong; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Online Video Understanding; Streaming Video Understanding
1162	Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding Authors: Weiyu Guo; Ziyang Chen; Shaoguang Wang; Jianxiang He; Yijie Xu; Jinhui Ye; Ying Sun; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision-language models; key frame search; long video understanding
1163	LongVPO: From Anchored Cues to Self-Reasoning for Long-Form Video Preference Optimization Authors: Zhenpeng Huang; Jiaqi Li; Zihan Jia; Xinhao Li; Desen Meng; Lingxue Song; Xi Chen; Liang Li; Limin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Large Language Models; Long Video Understanding; Preference Optimization
1164	Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation Authors: Yuyang Wanyan; Xi Zhang; Haiyang Xu; Haowei Liu; Junyang Wang; Jiabo Ye; Yutong Kou; Ming Yan; Fei Huang; Xiaoshan Yang; Weiming Dong; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: GUI agent; critic models; RL; GRPO
1165	Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection Authors: Anay Majee; Amitesh Gangrade; Rishabh K Iyer Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open-World Object Detection; Data-Discovery; Representation Learning; Submodular Functions
1166	Looking Into the Water by Unsupervised Learning of the Surface Shape Authors: Ori Lifschitz; Tali Treibitz; Dan Rosenbaum Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Underwater; refractive distrotion; unsupervised learning; SIREN
1167	Low-Rank Head Avatar Personalization with Registers Authors: Sai Tanmay Reddy Chakkera; Aggelina Chatziagapi; Md Moniruzzaman; Chen-ping Yu; Yi-Hsuan Tsai; Dimitris Samaras Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Personalization; Avatar Generation
1168	Lua-LLM: Learning Unstructured-Sparsity Allocation for Large Language Models Authors: Mingge Lu; Jingwei Sun; Junqing Lin; Zechun Zhou; Guangzhong Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sparsity; Pruning; Efficient Inference; Large Language Models
1169	LuxDiT: Lighting Estimation with Video Diffusion Transformer Authors: Ruofan Liang; Kai He; Zan Gojcic; Igor Gilitschenski; Sanja Fidler; Nandita Vijaykumar; Zian Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Lighting estimation; Inverse rendering; Video diffusion models
1170	MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning Authors: Thanh-Dat Truong; Christophe Bobda; Nitin Agarwal; Khoa Luu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Fusion; Multimodal Learning; Normalizing Flows
1171	MAPLE: Multi-scale Attribute-enhanced Prompt Learning for Few-shot Whole Slide Image Classification Authors: Junjie Zhou; WEI SHAO; Yagao Yue; Wei Mu; Peng Wan; Qi Zhu; Daoqiang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multiple instance learning; whole slide image classification; prompt learning; vision-language model; few-shot learning
1172	MAT-Agent: Adaptive Multi-Agent Training Optimization Authors: Jusheng Zhang; Kaitong Cai; Yijia Fan; Ningyuan Liu; Keze Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Agent，Multi-Label，Bandit; Training-Optimization
1173	MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation Authors: Meilong Xu; Xiaoling Hu; Shahira Abousamra; Chen Li; Chao Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Digital pathology; Medical image segmentaton; Semi-supervised Learning
1174	MEGADance: Mixture-of-Experts Architecture for Genre-Aware 3D Dance Generation Authors: kaixing yang; XulongTang; Ziqiao Peng; Yuxuan Hu; Jun He; Hongyan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: AI for Art; Creative AI; Multimedia Learning; 3D Motion Generation; Music-to-Dance Generation
1175	MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query Authors: Wei Chow; Yuan Gao; Linfeng Li; Xian Wang; Qi Xu; Hang Song; Lingdong Kong; Ran Zhou; Yi Zeng; Yidong Cai; Botian Jiang; Shilin Xu; Jiajunzhang; Minghui Qiu; Xiangtai Li; Tianshu… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multi-modal; vision and language
1176	MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction Authors: Yunkee Chae; Kyogu Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Music Generation; Source Extraction; Inpainting
1177	MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction Authors: Zeyue Zhang; Heng Ping; Peiyu Zhang; Nikos Kanakaris; Xiaoling LU; Paul Bogdan; Xiongye Xiao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Electronic Design Automation; Hypergraph Neural Networks; Interpretable Machine Learning; Information Bottleneck; Multi-view Learning; Chip Congestion Predicti…
1178	MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning Authors: Xinyan Chen; Renrui Zhang; Dongzhi Jiang; Aojun Zhou; Shilin Yan; Weifeng Lin; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Laguage Models; Chain-of-Thought; Mathematics
1179	MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Authors: Jaehyun Nam; Jinsung Yoon; Jiefeng Chen; Jinwoo Shin; Sercan O Arik; Tomas Pfister Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Machine Learning Engineering Agents; LLM Agents
1180	MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation Authors: Jiaxin Huang; Runnan Chen; Ziwen Li; Zhengqing Gao; Xiao He; Yandong Guo; Mingming Gong; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D reasoning segmentation; Multi-modal large language Model
1181	MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recovery Authors: Hainuo Wang; Qiming Hu; Xiaojie Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Degradation Estimation; Adverse Weather; Image Restoration
1182	MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search Authors: Zonglin Yang; Wanhao Liu; Ben Gao; Yujie Liu; Wei Li; Tong Xie; Lidong Bing; Wanli Ouyang; Erik Cambria; Dongzhan Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: scientific discovery
1183	MPMAvatar: Learning 3D Gaussian Avatars with Accurate and Robust Physics-Based Dynamics Authors: Changmin Lee; Jihyun Lee; Tae-Kyun Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Avatar Creation; Digital Humans; Gaussian Splatting; Motion Modeling
1184	MR. Video: MapReduce as an Effective Principle for Long Video Understanding Authors: Ziqi Pang; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM agents; long video understanding
1185	MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild Authors: Deming Li; Kaiwen Jiang; Yutao Tang; Ravi Ramamoorthi; Rama Chellappa; Cheng Peng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: novel view synthesis; scene reconstruction
1186	MSTAR: Box-free Multi-query Scene Text Retrieval with Attention Recycling Authors: Liang Yin; Xudong Xie; Zhang Li; Xiang Bai; Yuliang Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: scene text retrieval; weak-supervised learning; fine-grained image text matching
1187	MTRec: Learning to Align with User Preferences via Mental Reward Models Authors: Mengchen Zhao; Yifan Gao; Yaqing Hou; Xiangyang Li; Pengjie Gu; Zhenhua Dong; Ruiming Tang; Yi Cai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: recommender systems; reinforcement learning
1188	MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation Authors: Kerui Ren; Jiayang Bai; Linning Xu; Lihan Jiang; Jiangmiao Pang; Mulin Yu; Bo Dai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object Compositing; Multi-view Harmonization; Shadow Generation
1189	MVSMamba: Multi-View Stereo with State Space Model Authors: Jianfei Jiang; Qiankun Liu; Hongyuan Liu; Haochen Yu; Liyong Wang; Jiansheng Chen; Huimin Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-View Stereo; Depth Estimation; Mamba
1190	MagCache: Fast Video Generation with Magnitude-Aware Cache Authors: Zehong Ma; Longhui Wei; Feng Wang; Shiliang Zhang; Qi Tian Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Fast Video Generation; Magnitude-Aware Cache; Training-Free Acceleration
1191	MaintainCoder: Maintainable Code Generation Under Dynamic Requirements Authors: Zhengren Wang; Rui ling; Chufan Wang; Yongan Yu; Sizhe Wang; Zhiyu li; Feiyu Xiong; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code Generation; Maintainability; Design Patterns; Requirement Evolution; Software Engineering
1192	Mamba Only Glances Once (MOGO): A Lightweight Framework for Efficient Video Action Detection Authors: Yunqing Liu; Nan Zhang; Fangjun Wang; Kengo Murata; Takuma Yamamoto; Osafumi Nakayama; Genta Suzuki; Zhiming Tan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mamba; Lightweight Architecture; Video Action Detection; Encoder-Decoder; Computational Efficiency
1193	Many Minds, One Goal: Time Series Forecasting via Sub-task Specialization and Inter-agent Cooperation Authors: Qihe Huang; Zhengyang Zhou; Yangze Li; Kuo Yang; Binwu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: time series forecasting
1194	MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference Authors: Wenyuan Zhang; Jimin Tang; Weiqi Zhang; Yi Fang; Yu-Shen Liu; Zhizhong Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Novel view synthesis; Physically based rendering; Deferred shading
1195	Mellow: a small audio language model for reasoning Authors: Soham Deshmukh; Satvik Dixit; Rita Singh; Bhiksha Raj Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: audio-language; multimodal learning; audio reasoning; audio processing
1196	MemEIC: A Step Toward Continual and Compositional Knowledge Editing Authors: Jin Seong; Jiyun Park; Wencke Liermann; Hongseok Choi; Yoonji Nam; Hyun Kim; Soojong Lim; Namhoon Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision and language; multimodal understanding; continual learning
1197	MetaFind: Scene-Aware 3D Asset Retrieval for Coherent Metaverse Scene Generation Authors: Zhenyu Pan; Yucheng Lu; Han Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: information retrieval; scene generation; 3D world generation; scene generation
1198	Metis: A Foundation Speech Generation Model with Masked Generative Pre-training Authors: Yuancheng Wang; Jiachen Zheng; Junan Zhang; Xueyao Zhang; Huan Liao; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Speech Generation; Foundation Model; Masked Generative Model
1199	Metropolis-Hastings Sampling for 3D Gaussian Reconstruction Authors: Hyunjin Kim; Haebeom Jung; Jaesik Park Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Metropolis-Hastings Sampling
1200	MiCADangelo: Fine-Grained Reconstruction of Constrained CAD Models from 3D Scans Authors: Ahmet Serdar Karadeniz; Dimitrios Mallis; Danila Rukhovich; Kseniya Cherenkova; Anis Kacem; Djamila Aouada Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: cad; 3d; reverse engineering; sketch; constraint; reconstruction; cross section
1201	MindJourney: Test-Time Scaling with World Models for Spatial Reasoning Authors: Yuncong Yang; Jiageng Liu; Zheyuan Zhang; Siyuan Zhou; Reuben Tan; Jianwei Yang; Yilun Du; Chuang Gan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spatial Reasoning; World Models; Test-time Scaling
1202	MiniMax-Remover: Taming Bad Noise Helps Video Object Removal Authors: Bojia Zi; Weixuan Peng; Xianbiao Qi; Jianan Wang; Shihao Zhao; Rong Xiao; Kam-Fai Wong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Object Removal
1203	Miss-ReID: Delivering Robust Multi-Modality Object Re-Identification Despite Missing Modalities Authors: Ruida Xi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Modality Object Re-Identification; Missing Modalities; Vision-Language Foundation Models
1204	MixSignGraph: A Sign Sequence is Worth Mixed Graphs of Nodes Authors: Shiwei Gan; Yafeng Yin; Zhiwei Jiang; Lei Xie; Sanglu Lu; Hongkai Wen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sign Language Recognition and Translation; Graph convolutional network
1205	MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details Authors: Ruicheng Wang; Sicheng Xu; Yue Dong; Yu Deng; Jianfeng Xiang; Zelong Lv; Guangzhong Sun; Xin Tong; Jiaolong Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computer vision; monocular geometry estimation
1206	MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition Authors: Umberto Cappellazzo; Minsu Kim; Pingchuan Ma; Honglie Chen; Xubo Liu; Stavros Petridis; Maja Pantic Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mixture of Experts; Matryoshka Representation Learning; Audio-Visual Speech Recognition
1207	MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition Authors: Hao Zhang; Zhan Zhuang; Xuehao Wang; Xiaodong Yang; Yu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human Activity Recognition; Wearable Sensors; Deep Learning
1208	MoRIC: A Modular Region-based Implicit Codec for Image Compression Authors: Gen Li; Haotian Wu; Deniz Gunduz Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Implicit neural representation; source coding; overfitted image compression; low-complexity image codec; layered compression.
1209	MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation Authors: Ning Li; Xiangmou Qu; Jiamu Zhou; Jun Wang; Muning Wen; Kounianhua Du; Xingyu Lou; Qiuying Peng; Jun Wang; Weinan Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mobile GUI Agent; Multi-Agent Framework; Hierarchical Reflection; Proactive Exploration
1210	Model-Guided Dual-Role Alignment for High-Fidelity Open-Domain Video-to-Audio Generation Authors: Kang Zhang; Trung X. Pham; Suyeon Lee; Axi Niu; Arda Senocak; Joon Son Chung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open domain video to audio generation; FLow based model; Cross modal alignment; Transformer denoiser; Model guided training
1211	MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection Authors: Shengtian Yang; Yue Feng; Yingshi Liu; Jingrou Zhang; Jie Qin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Training-free; Online VAD; Instructed LLMs; LSTM
1212	MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis Authors: Mengxi Xiao; Ben Liu; He Li; Jimin Huang; Qianqian Xie; Xiaofen Zong; Mang Ye; Min Peng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: psychiatry diagnosis; multi-agent framework; mental health
1213	MoonCast: High-Quality Zero-Shot Podcast Generation Authors: Zeqian Ju; Dongchao Yang; Kai Shen; Yichong Leng; Zhengtao Wang; Songxiang Liu; Xinyu Zhou; Tao Qin; Xiangyang Li; Jianwei Yu; Xu Tan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: zero-shot speech generation; podcast generation
1214	More Than Generation: Unifying Generation and Depth Estimation via Text-to-Image Diffusion Models Authors: Hongkai Lin; Dingkang Liang; Mingyang Du; Xin Zhou; Xiang Bai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: unify model; image generation; depth estimation
1215	Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction Authors: Jiacong Chen; Qingyu Mao; Youneng Bao; Xiandong MENG; Fanyang Meng; Ronggang Wang; Yongsheng Liang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Free-viewpoint video; 3D Gaussian Splatting; Real-time transmission; 4D reconstruction; Compression; Streaming
1216	Motion4D: Learning 3D-Consistent Motion and Semantics for 4D Scene Understanding Authors: Haoran Zhou; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video object segmentation; 3D point tracking; Monocular dynamic novel view synthesis; 4D scene reconstruction
1217	MotionBind: Multi-Modal Human Motion Alignment for Retrieval, Recognition, and Generation Authors: Kaleab A Kinfu; Rene Vidal Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: human motion; multi-modal representation learning; cross-modal retrieval; action recognition; human motion synthesis
1218	MotionRAG: Motion Retrieval-Augmented Image-to-Video Generation Authors: Chenhui Zhu; Yilu Wu; Shuai Wang; Gangshan Wu; Limin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image-to-Video Generation; Motion Transfer; Retrieval-Augmented Generation
1219	MuSLR: Multimodal Symbolic Logical Reasoning Authors: Jundong Xu; Hao Fei; Yuhui Zhang; Liangming Pan; Qijun Huang; Qian Liu; Preslav Nakov; Min-Yen Kan; William Yang Wang; Mong-Li Lee; Wynne Hsu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Symbolic Reasoning; Multimodal Learning
1220	Multi-Agent Debate for LLM Judges with Adaptive Stability Detection Authors: Tianyu Hu; Zhen Tan; Song Wang; Huaizhi Qu; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM-as-Judge; Multi-Agent Debate; Adaptive Stopping
1221	Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond Authors: Kaixiang Chen; Pengfei Fang; Hui Xue Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Few-Shot Universal Cross Domain Retrieval; Vision-Language Models; Cross-Domain Interaction; Agent Layer
1222	Multi-agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game Authors: Rong Ye; Yongxin Zhang; Yikai Zhang; Haoyu Kuang; peng sun; zhongyu wei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Model; Language Game; Application
1223	Multi-scale Temporal Prediction via Incremental Generation and Multi-agent Collaboration Authors: Zhitao Zeng; Guojian Yuan; Junyuan Mao; Yuxuan Wang; Xiaoshuang Jia; Yueming Jin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-scale Temporal Prediction; Incremental Generation; Multi-agent Collaboration
1224	MultiScale Contextual Bandits for Long Term Objectives Authors: Richa Rastogi; Yuta Saito; Thorsten Joachims Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: policy learning at multiple timescales; timescale of interventions vs feedback; off policy contextual bandits
1225	Multimodal Causal Reasoning for UAV Object Detection Authors: Nianxin Li; Mao Ye; Lihua Zhou; Shuaifeng Li; Song Tang; Luping Ji; Ce Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: UAV object detection; Causal reasoning; Vision-language model
1226	Multimodal LiDAR-Camera Novel View Synthesis with Unified Pose-free Neural Fields Authors: Weiyi Xue; Fan Lu; Yunwei Zhu; Zehan Zheng; Sanqing Qu; Jiangtong Li; Ya Wu; Haiyun Wei; Guang Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal; Pose-free; Novel View Synthesis
1227	MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering Authors: Qiwen Gu; Xufei Wang; Junqiao Zhao; Siyue Tao; Tiantian Feng; Ziqiao Wang; Guang Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Place Recognition; Geo-localization，Autonomous Driving
1228	NUTS: Eddy-Robust Reconstruction of Surface Ocean Nutrients via Two-Scale Modeling Authors: Hao Zheng; Shiyu Liang; Yuting Zheng; Chaofan Sun; LEI BAI; Enhui Liao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Oceanic Nutrients Reconstruction; Advection-Diffusion
1229	Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards Authors: Qingming LIU; Zhen Liu; Dinghuai Zhang; Kui Jia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Generation; Diffusion Model; Alignment; Reward Finetuning; Reinforcement Learning
1230	Native Segmentation Vision Transformers Authors: Guillem Braso; Aljosa Osep; Laura Leal-Taixé Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision Transformers; Segmentation; Perceptual Grouping
1231	NavBench: Probing Multimodal Large Language Models for Embodied Navigation Authors: Yanyuan Qiao; Haodong Hong; Wenqi Lyu; Dong An; Siqi Zhang; Yutong Xie; Xinyu Wang; Qi Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied Navigation; Multimodal Large Language Models
1232	NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables Authors: Lanrui Wang; Mingyu Zheng; Hongyin Tang; Zheng Lin; Yanan Cao; Jingang Wang; Xunliang Cai; Weiping Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Long-context; table understanding; structured data
1233	NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception Authors: Shao Congzhang; Quan Yuan; Guiyang Luo; Yue Hu; Danni Wang; Liu Yilin; Rui Pan; Bo Chen; Jinglin Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: collaborative perception; autonomous driving
1234	Neural Tangent Knowledge Distillation for Optical Convolutional Networks Authors: Jinlin Xiang; Minho Choi; Yubo Zhang; Zhihao Zhou; Arka Majumdar; Eli Shlizerman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Optical Neural Networks; Knowledge Distillation
1235	Neural-Driven Image Editing Authors: Pengfei Zhou; Jie Xia; Xiaopeng Peng; Wangbo Zhao; Zilong Ye; Zekai Li; Suorong Yang; Jiadong Pan; Yuanxiang Chen; Ziqiao Wang; Kai Wang; Qian Zheng; Xiaojun Chang; Gang Pan; Shur… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Brain-Computer Interface; Image Editing; Visual Generation; Generative Models; Diffusion Models
1236	No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models Authors: Fan Li; Xuan Wang; Xuanbin Wang; Zhaoxiang Zhang; Yuelei Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: domain generalization; 3D semantic segmentation; diffusion model
1237	NoPo-Avatar: Generalizable and Animatable Avatars from Sparse Inputs without Human Poses Authors: Jing Wen; Alex Schwing; Shenlong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human modeling; generalizable rendering
1238	Non-Adaptive Adversarial Face Generation Authors: Sunpill Kim; Seunghun Paik; Chanwoo Hwang; Minsu Kim; Jae Hong Seo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: adversarial attack; face recognition; non-adaptive attack
1239	Non-Line-of-Sight 3D Reconstruction with Radar Authors: Haowen Lai; Zitong Lan; Mingmin Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Radar; NLOS Imaging; NLOS Scene Reconstruction; RF Sensing; 3D Reconstruction
1240	NopeRoomGS: Indoor 3D Gaussian Splatting Optimization without Camera Pose Input Authors: Wenbo Li; Yan Xu; Mingde Yao; Fengjie Liang; Jiankai Sun; Menglu Wang; Guofeng Zhang; Linjiang Huang; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Indoor Reconstruction; Pose-Free Gaussian Splatting
1241	Normal-Abnormal Guided Generalist Anomaly Detection Authors: Yuexin Wang; Xiaolei Wang; Yizheng Gong; Jimin XIAO Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Anomaly Detection; Normal-Abnormal Generalist Learning
1242	Novel Class Discovery for Point Cloud Segmentation via Joint Learning of Causal Representation and Reasoning Authors: Yang Li; Aming WU; Zihao Zhang; Yahong Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Point Cloud Segmentation; Novel Class Discovery; Causal Learning
1243	Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion Authors: Yan Xu; Yixing Wang; Stella X. Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Novel View Synthesis; 3D Gaussian Splatting
1244	ODG: Occupancy Prediction Using Dual Gaussians Authors: Yunxiao Shi; Yinhao Zhu; Hong Cai; Shizhong Han; Jisoo Jeong; Amin Ansari; Fatih Porikli Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: occupancy prediction; Gaussian splatting; autonomous driving
1245	OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning Authors: Zeting Chen; Xinyu Cai; Molei Qin; Bo An Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Reinforcement Learning; Quantatitive Trading; Option Trading
1246	OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information Authors: Xuehui Wang; Chongjie Si; Xue Yang; Yuzhi Zhao; Wenhai Wang; Xiaokang Yang; Wei Shen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open-vocabulary semantic segmentation
1247	ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation Authors: Yunhong Min; Daehyeon Choi; Kyeongmin Yeo; Jihyun Lee; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Controlled image generation
1248	OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates Authors: Jinpei Guo; Yifei Ji; Zheng Chen; Kai Liu; Min Liu; Wang Rao; Wenbo Li; Yong Guo; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Model; Image Compression; One-step Diffusion
1249	OSTAR: Optimized Statistical Text-classifier with Adversarial Resistance Authors: Yuhan Yao; Feifei Kou; Lei Shi; Xiao yang; Zhongbao Zhang; Suguo Zhu; Jiwei Zhang; Lirong Qiu; LI Haisheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: MGT detection、Adversarial Robustness、Contrastive Learning
1250	OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation Authors: Dongjun Hwang; Yejin Kim; Minyoung Lee; Seong Joon Oh; Junsuk Choe Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open-Vocabulary; Segmentation; Continual Learning
1251	OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation Authors: Mengkang Hu; Yuhang Zhou; Wendong Fan; Yuzhou Nie; Ziyu Ye; Bowei Xia; Tao Sun; Zhaoxuan Jin; Yingru Li; Zeyu Zhang; Yifeng Wang; Qianshuo Ye; Bernard Ghanem; Ping Luo; Guohao Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Model; LLM-based Agent; Multi-Agent
1252	OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis Authors: Junting Chen; Haotian Liang; Lingxiao Du; Weiyun Wang; Mengkang Hu; Yao Mu; Wenhai Wang; Jifeng Dai; Ping Luo; Wenqi Shao; Lin Shao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied AI; Mobile Manipulation; Agentic Data Synthesis; Vision-Language Model; LLM Agent
1253	Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction Authors: KunHo Heo; GiHyeon Kim; SuYeon Kim; MyeongAh Cho Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Sementic Scene Graph Prediction
1254	Object-X: Learning to Reconstruct Multi-Modal 3D Object Representations Authors: Gaia Di Lorenzo; Federico Tombari; Marc Pollefeys; Daniel Barath Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object Reconstruction; Gaussian Splatting; Multi-Modal Representation Learning
1255	Objective Soups: Multilingual Multi-Task Modeling for Speech Processing Authors: A F M Saif; Lisha Chen; Xiaodong Cui; Songtao Lu; Brian Kingsbury; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multilingual speech recognition; automatic speech translation; multi-objective optimization; conflict-aware training
1256	OmniGaze: Reward-inspired Generalizable Gaze Estimation in the Wild Authors: Hongyu Qu; Jianan Wei; Xiangbo Shu; Yazhou Yao; Wenguan Wang; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaze Estimation; In-The-Wild Generalization; Semi-supervised Learning
1257	OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions Authors: Cheng Luo; Jianghui Wang; Bing Li; Siyang Song; Bernard Ghanem Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human-computer Interaction; Human Behavior Understanding; Multi-model Generation
1258	OmniSVG: A Unified Scalable Vector Graphics Generation Model Authors: Yiying Yang; Wei Cheng; Sijin Chen; Xianfang Zeng; Fukun Yin; Jiaxu Zhang; Liao Wang; Gang YU; Xingjun Ma; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: SVG Generation; Vision Language Model
1259	OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation Authors: Bo-Wen Yin; Jiao-Long Cao; Xuying Zhang; Yuming Chen; Ming-Ming Cheng; Qibin Hou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semantic Segmentation; Multi-modal; Representation Learning
1260	OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking Authors: Zhongjian Wang; Peng Zhang; Jinwei Qi; wang guang yuan; Sheng Xu; Bang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: talking head; audiovisual generation; text-driven talking head
1261	OmniTry: Virtual Try-On Anything without Masks Authors: Yutong Feng; Linlin Zhang; Hengyuan Cao; Yiming Chen; Xiaoduan Feng; Jian Cao; Yuxiong Wu; Bin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Virtual Try-On; Controllable Image Generation; Diffusion Model
1262	OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions Authors: Yuanhao Cai; He Zhang; Xi Chen; Jinbo Xing; Yiwei Hu; Yuqian Zhou; Kai Zhang; Zhifei Zhang; Soo Ye Kim; Tianyu Wang; Yulun Zhang; Xiaokang Yang; Zhe Lin; Alan Yuille Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Generation; Multimodal Generation; Subject-driven Video Customization; 3D/4D Generation; Flow Matching; Transformer
1263	OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation Authors: Xiaoan Zhu; Yue Zhao; Tianyang Hu; Jiaming Guo; Yulan Zeng; Renjing Pei; Fenglong Song; Huajun Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Smooth Zoom; Frame Interpolation; 3D Gaussian Splatting; Velocity Disambiguity; Cross-Device Dataset
1264	One SPACE to Rule Them All: Jointly Mitigating Factuality and Faithfulness Hallucinations in LLMs Authors: Pengbo Wang; Chaozhuo Li; Chenxu Wang; Liwen Zheng; Litian Zhang; Xi Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; Hallucination; Safety
1265	One-Step Diffusion for Detail-Rich and Temporally Consistent Video Super-Resolution Authors: Yujing Sun; Lingchen Sun; Shuaizheng Liu; Rongyuan Wu; Zhengqiang ZHANG; Lei Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Real-world Video Super-Resolution; Diffusion Models
1266	One-Step Diffusion-Based Image Compression with Semantic Distillation Authors: Naifu Xue; Zhaoyang Jia; Jiahao Li; Bin Li; Yuan Zhang; Yan Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image compression; generative compression; diffusion models; one-step diffusion; extremely low bitrate
1267	Online Segment Any 3D Thing as Instance Tracking Authors: Hanshi Wang; caizijian; Jin Gao; Yiwei Zhang; Weiming Hu; Ke Wang; Zhipeng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Online 3D Segmentation; Embodied Intelligence
1268	Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning Authors: Yana Wei; Liang Zhao; Jianjian Sun; Kangheng Lin; jisheng yin; Jingcheng Hu; Yinmin Zhang; En Yu; Haoran Lv; Zejia Weng; Jia Wang; Qi Han; Zheng Ge; Xiangyu Zhang; Daxin Jiang; Vi… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal LLM; Visual Reasoning; Cognitive Behavior Transfer
1269	Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Authors: Jingcheng Hu; Yinmin Zhang; Qi Han; Daxin Jiang; Xiangyu Zhang; Heung-Yeung Shum Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; Reasoning Model
1270	Open-Vocabulary Part Segmentation via Progressive and Boundary-Aware Strategy Authors: Xinlong Li; Di Lin; Shaoyiyi Gao; Jiaxin Li; Ruonan Liu; Qing Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open-Vocabulary Part Segmentation; Progressive Segmentation; Boundary-Aware Refinement; Hierarchical Part Connected Graph
1271	OptiScene: LLM-driven Indoor Scene Layout Generation via Scaled Human-aligned Data Synthesis and Multi-Stage Preference Optimization Authors: Yixuan Yang; Zhen Luo; Tongsheng Ding; Junru Lu; Mingqi Gao; Jinyu Yang; Victor Sanchez; Feng Zheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Indoor scene layout generation; LLM-based; DPO; 3D; Synthetic Data
1272	Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior Authors: Leo Segre; Shai Avidan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: NeRF Cleanup; NeRF; 3D vision
1273	Optimized Minimal 3D Gaussian Splatting Authors: Joo Chan Lee; Jong Hwan Ko; Eunbyung Park Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Efficient Neural Rendering
1274	Optimizing Retrieval for RAG via Reinforcement Learning Authors: Jiawei Zhou; Lei Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Retrieval-augmented Generation; RAG; RL
1275	Orientation Matters: Making 3D Generative Models Orientation-Aligned Authors: Yichong Lu; Yuzhuo Tian; Zijin Jiang; Yikun Zhao; Yuanbo Yang; Hao Ouyang; Haoji Hu; Huimin Yu; Yujun Shen; Yiyi Liao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computer vision
1276	Orientation-anchored Hyper-Gaussian for 4D Reconstruction from Casual Videos Authors: Junyi Wu; Jiachen Tao; Haoxuan Wang; Gaowen Liu; Ramana Rao Kompella; Yan Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 4D Reconstruction
1277	Out-of-Distribution Generalized Graph Anomaly Detection with Homophily-aware Environment Mixup Authors: Sibo Tian; Xin Wang; Zeyang Zhang; Haibo Chen; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Graph Anomaly Detection; Out-of-Distribution Generalization
1278	PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation Authors: Kunyu Wang; Xueyang Fu; Yuanfei Bao; Chengjie Ge; Chengzhi Cao; Wei Zhai; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Continual Test-Time Adaptation; Decomposition; Domain-Invariant
1279	PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer Authors: Zhiwei Yang; Chen Gao; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Anomaly Detection; AI Agent; Agentic AI Engineer; Multimodal Large Language Model
1280	PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models Authors: Tianchen Zhao; Ke Hong; Xinhao Yang; Xuefeng Xiao; Huixia Li; Feng Ling; Ruiqi Xie; SiQi Chen; Hongyu Zhu; Zhang Yichong; Yu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Generation; Low-bit Quantization; Sparse Attention; Diffusion model; Acceleration
1281	PASS: Path-selective State Space Model for Event-based Recognition Authors: Jiazhou Zhou; Kanghao Chen; Lei Zhang; Lin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event Camera; Object Recognition; Arbitrary Temporal Frequency
1282	PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors Authors: Yujin Chen; Yinyu Nie; Benjamin Ummenhofer; Reiner Birkl; Michael Paulitsch; Matthias Nießner Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Mesh Texture Super Resolution
1283	PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network Authors: Mingyao Zhou; Hao Sun; Wei Xie; Ming Dong; Chengji Wang; Mang Ye Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video understanding; multimodal alignment; contrastive learning
1284	PIVNO: Particle Image Velocimetry Neural Operator Authors: Jie Xu; Xuesong Zhang; Jing Jiang; Qinghua Cui Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: PIV; Motion Field; Neural Operator; Self-supervised
1285	PLANA3R: Zero-shot Metric Planar 3D Reconstruction via Feed-forward Planar Splatting Authors: Changkun Liu; Bin Tan; Zeran Ke; Shangzhan Zhang; Jiachen Liu; Ming Qian; Nan Xue; Yujun Shen; Tristan Braud Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction; Planar Reconstruction; Plane Segmentation
1286	PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching Authors: Yun Wang; Junjie Hu; Qiaole Dong; Yongjian Zhang; Yanwei Fu; Tin Lun Lam; Dapeng Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video stereo matching; 3D Vision
1287	PandaPose: 3D Human Pose Lifting from a Single Image via Propagating 2D Pose Prior to 3D Anchor Space Authors: Jinghong Zheng; Changlong Jiang; Yang Xiao; Jiaqi Li; Haohong Kuang; Hang Xu; Ran Wang; Zhiguo Cao; Min Du; Joey Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human pose estimation; anchor to joint prediction; depth estimation
1288	ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation Authors: Pengcheng Huang; Zhenghao Liu; Yukun Yan; Haiyan Zhao; Xiaoyuan Yi; Hao Chen; Zhiyuan Liu; Maosong Sun; Tong Xiao; Ge Yu; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: contextual faithfulness; retrieval-augmented generation
1289	Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection Authors: Dongkeun Kim; Minsu Cho; Suha Kwak Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Social interaction understanding; Nonverbal interaction detection
1290	PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers Authors: Yuchen Lin; Chenguo Lin; Panwang Pan; Honglei Yan; Feng Yiqiang; Yadong MU; Katerina Fragkiadaki Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Generation; 3D Part-level Object Generation; 3D Scene Generation; Generative Models
1291	Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery Authors: Qinglong Hu; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Automated algorithm discovery; Evolutionary computation; Large language model
1292	PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning Authors: Yizhen Zhang; Yang Ding; Shuoshuo Zhang; Xinchen Zhang; Haoling Li; Zhong-Zhi Li; Peijie Wang; Jie Wu; Lei Ji; Yeyun Gong; yelong shen; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision language model; reinforcement learning; multi-image; multimodal reasoning
1293	Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing Authors: Yilmazcan Ozyurt; Tunaberk Almaci; Stefan Feuerriegel; Mrinmaya Sachan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Knowledge Tracing; Exercise Recommendation; Reinforcement Learning; Educational AI; Semantic Representation Learning
1294	Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization Authors: Connor Dunlop; Matthew Zheng; Kavana Venkatesh; Pinar Yanardag Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image editing; t2i; personalization dpo
1295	Personalized Visual Content Generation in Conversational Systems Authors: Xianquan Wang; Zhaocheng Du; Huibo Xu; Shukang Yin; Yupeng Han; Jieming Zhu; Kai Zhang; Qi Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Conversational Systems; Visual Content Generation
1296	Photography Perspective Composition: Towards Aesthetic Perspective Recommendation Authors: Lujian Yao; Siming Zheng; Xinbin Yuan; Zhuoxuan Cai; Pu Wu; Jinwei Chen; Bo Li; Peng-Tao Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Photography Composition; Photography Perspective Composition
1297	PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On Authors: Shibin Mei; Bingbing Ni Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: virtual try-on; garment deformation modeling; physics modeling; trajectory optimization
1298	Physics-informed Neural Operator for Pansharpening Authors: Xinyang Liu; Junming Hou; Chenxu Wu; Xiaofeng Cong; Zihao Chen; Shangqi Deng; Junling Li; Liang-Jian Deng; Bo Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Pan-sharpening; Neural Operator; Multispectral and hyperspectral image fusion
1299	PixPerfect: Seamless Latent Diffusion Local Editing with Discriminative Pixel-Space Refinement Authors: Haitian Zheng; Yuan Yao; Yongsheng Yu; Yuqian Zhou; Jiebo Luo; Zhe Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image editing; image refinement; diffusion model
1300	PlanarGS: High-Fidelity Indoor 3D Gaussian Splatting Guided by Vision-Language Planar Priors Authors: Xirui Jin; Renbiao Jin; Boying Li; Danping Zou; Wenxian Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D reconstruction; planar priors; 3D gaussian splatting
1301	Plenodium: Underwater 3D Scene Reconstruction with Plenoptic Medium Representation Authors: Changguang WU; Jiangxin Dong; Chengjian Li; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Underwater Imaging; Novel View Synthesis; Spherical Harmonics; Depth Prior; and Underwater Image Restoration.
1302	PocketSR: The Super-Resolution Expert in Your Pocket Mobiles Authors: Haoze Sun; Linfeng Jiang; Fan Li; Renjing Pei; Zhixin Wang; Yong Guo; Jiaqi Xu; Haoyu Chen; Jin Han; Fenglong Song; Yujiu Yang; Wenbo Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Super-resolution; Diffusion Model; Model Pruning
1303	Point or Line? Using Line-based Representation for Panoptic Symbol Spotting in CAD Drawings Authors: Xingguang Wei; Haomin Wang; Shenglong Ye; Ruifeng Luo; Yanting Zhang; Lixin Gu; Jifeng Dai; Yu Qiao; Wenhai Wang; Hongjie Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Panoptic Symbol Spotting; Representation Learning; CAD Drawings
1304	Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning Authors: Minheng Ni; Zhengyuan Yang; Linjie Li; Chung-Ching Lin; Kevin Lin; Wangmeng Zuo; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large multimodal model; grounded reasoning; reinforcement learning
1305	Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory Authors: Yuqi Wu; Wenzhao Zheng; Jie Zhou; Jiwen Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction
1306	PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion Authors: Linlian Jiang; Rui Ma; Li Gu; Ziqiang Wang; Xinxin Zuo; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: point cloud completion
1307	Policy Optimized Text-to-Image Pipeline Design Authors: Uri Gadot; Rinon Gal; Yftah Ziser; Gal Chechik; Shie Mannor Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: ComfyUI; Text-to-Image workflow design; Text-to-Image generation
1308	Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanism Authors: Junfei Zhou; Penglin Dai; Quanmin Wei; Bingyi Liu; Xiao Wu; Jianping Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Collaborative Perception; Heterogeneous Collaboration; Diffusion model
1309	Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning Authors: Zhe Hu; Jing Li; Zhongzhu Pu; Hou Pong Chan; Yu Yin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Decision Making; Situational Reasoning; Vision-Language Model Reasoning
1310	PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling Authors: Xiao Yu; Yan Fang; Yao Zhao; Yunchao Wei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Online Audio-Visual Learning; Audio-Visual Video Parsing; Audio-Visual Event Localization
1311	Precise Information Control in Long-Form Text Generation Authors: Jacqueline He; Howard Yen; Margaret Li; Shuyue Stella Li; Zhiyuan Zeng; Weijia Shi; Yulia Tsvetkov; Danqi Chen; Pang Wei Koh; Luke Zettlemoyer Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: faithful hallucination; faithful text generation; long-form generation evaluation; controllable language models; strict grounded generation
1312	Predicting Empirical AI Research Outcomes with Language Models Authors: Jiaxin Wen; Chenglei Si; Chen Yueh-Han; He He; Shi Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; Research Idea Evaluation; Automated Research
1313	Preference Distillation via Value based Reinforcement Learning Authors: Minchan Kwon; Junwon Ko; Kangil Kim; Junmo Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Preference distillation; Knowledge distillation; LLM with RL
1314	Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving Authors: Yi Huang; zhan qu; Lihui Jiang; Bingbing Liu; Hongbo Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: End to end autonomous driving
1315	Private Training Large-scale Models with Efficient DP-SGD Authors: Liangyu Wang; Junxiao Wang; Jie Ren; Zihang Xiang; David E. Keyes; Di Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Differential Privacy; Large Language Models; DP-SGD
1316	Pro3D-Editor: A Progressive-Views Perspective for Consistent and Precise 3D Editing Authors: Yang Zheng; Mengqi Huang; Nan Chen; Zhendong Mao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Edit; 3D Gaussian Splatting; multi-view diffusion model
1317	ProDyG: Progressive Dynamic Scene Reconstruction via Gaussian Splatting from Monocular Videos Authors: Shi Chen; Erik Sandström; Sandro Lombardi; Siyuan Li; Martin R. Oswald Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dynamic; scene reconstruction; dynamic scene reconstruction; 4D reconstruction; Gaussian Splatting; SLAM; monocular; dynamic SLAM; pose estimation; mapping; tr…
1318	Probabilistic Reasoning with LLMs for Privacy Risk Estimation Authors: Jonathan Zheng; Alan Ritter; Sauvik Das; Wei Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLMs; probabilistic reasoning; chain of thought; prompting; NLP; privacy risk; personal disclosures
1319	ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks Authors: Huiri Tan; Juyong Jiang; Jiasi Shen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Optimizing Compiler; Program Optimization; Graph Neural Network
1320	Program Synthesis via Test-Time Transduction Authors: Kang-il Lee; Jahyun Koo; Seunghyun Yoon; Minbeom Kim; Hyukhun Koh; Dongryeol Lee; Kyomin Jung Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: program synthesis; code generation; large language models; world models
1321	Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion Authors: Lei Cao; Hao Zhang; Chunyu Li; Jiayi Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image fusion; general image fusion; multimodal image fusion; latent diffusion models
1322	Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer Authors: Xuelin Shen; Quan Liu; Jiayin Xu; Wenhan Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Learned Image Compression; Image Restoration; Degradation; Prompt Learning; Information Bottleneck
1323	Promptable 3-D Object Localization with Latent Diffusion Models Authors: Cheng-Yao Hong; Li-Heng Wang; Tyng-Luh Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3-D Object Detection; Diffusion Model
1324	Protein Inverse Folding From Structure Feedback Authors: Junde Xu; Zijun Gao; Xinyi Zhou; hujie; Xingyi Cheng; Le Song; Guangyong Chen; Pheng-Ann Heng; Jiezhong Qiu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Protein design; DPO; Protein Language Model
1325	PurpCode: Reasoning for Safer Code Generation Authors: Jiawei Liu; Nirav Diwan; Zhe Wang; Haoyu Zhai; Xiaona Zhou; Kiet A. Nguyen; Tianjiao Yu; Muntasir Wahed; Yinlin Deng; hadjer Benkraouda; Yuxiang Wei; LINGMING ZHANG; Ismini Louren… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code generation; reasoning; code security; model safety
1326	PyraMotion: Attentional Pyramid-Structured Motion Integration for Co-Speech 3D Gesture Synthesis Authors: Zhizhuo Yin; Yuk Hang Tsui; Pan Hui Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Co-Speech Motion Synthesis; 3D; Generation; Representation Learning
1327	QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Authors: Changxin Ke; Rui Zhang; Shuo Wang; Li Ding; Guangli Li; Yuanbo Wen; Shuoming Zhang; Ruiyuan Xu; Jin Qin; Jiaming Guo; Chenxi Wang; Ling Li; Qi Guo; Yunji Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: mutual-supervised learning; code generation; HPC code translation
1328	QuadricFormer: Scene as Superquadrics for 3D Semantic Occupancy Prediction Authors: Sicheng Zuo; Wenzhao Zheng; Xiaoyong Han; Longchao Yang; Yong Pan; Jiwen Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: autonomous driving
1329	Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models Authors: Dilxat Muhtar; Enzhuo Zhang; Zhenshi Li; Feng Gu; Yanglangxing He; Pengfeng Xiao; Xueliang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Remote Sensing Image; Vision Language Data; Vision Language Model
1330	Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian Splatting Authors: Kangjie Chen; Yingji Zhong; Zhihao Li; Jiaqi Lin; Youyu Chen; Minghan Qin; Haoqian Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: gaussian splatting; sparse-view reconstruction; co-adaptation
1331	R1-ShareVL: Incentivizing Reasoning Capabilities of Multimodal Large Language Models via Share-GRPO Authors: Huanjin Yao; Qixiang Yin; Jingyi Zhang; Min Yang; Yibo Wang; Wenhao Wu; Fei Su; Li Shen; Minghui Qiu; Dacheng Tao; Jiaxing Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Modal Large Language Models; Reinforcement Learning; Reasoning
1332	RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Authors: Hao Gao; Shaoyu Chen; Bo Jiang; Bencheng Liao; Yiang Shi; Xiaoyang Guo; Yuechuan Pu; haoran yin; Xiangyu Li; xinbang zhang; ying zhang; Wenyu Liu; Qian Zhang; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: End-to-end; Autonomous driving; Reinforcement learning; 3DGS environment; Closed-loop
1333	RANKLETR: Learn to Rank and Optimize Candidates for Line Segment Detection Authors: Xin Tong; Baojie Tian; Yufei Guo; Zhe Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: line segment detection; RANKLETR; Transformer; wireframe parsing
1334	RAPID Hand: Robust, Affordable, Perception-Integrated, Dexterous Manipulation Platform for Embodied Intelligence Authors: Zhaoliang Wan; Zetong Bi; Zida Zhou; Hao Ren; Yiming Zeng; Yihan Li; Lu Qi; Xu Yang; Ming-Hsuan Yang; Hui Cheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robotics; Robotic Manipulation; Embodied Intelligence; Dexterous Manipulation; Robotic Grasping
1335	RAPTR: Radar-based 3D Pose Estimation using Transformer Authors: Sorachi Kato; Ryoma Yataka; Pu Perry Wang; Pedro Miraldo; Takuya Fujihashi; Petros Boufounos Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: radar perception; 3D pose estimation; transformer; deformable attention
1336	RAST: Reasoning Activation in LLMs via Small-model Transfer Authors: Siru Ouyang; Xinyu Zhu; Zilin Xiao; Minhao Jiang; Yu Meng; Jiawei Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Reasoning; Reinforcement Learning; Decoding-time Strategy; Scaling
1337	REArtGS: Reconstructing and Generating Articulated Objects via 3D Gaussian Splatting with Geometric and Motion Constraints Authors: Di Wu; Liu Liu; Zhou Linli; Anran Huang; Liangtu Song; Qiaojun Yu; Qi Wu; Cewu Lu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Surface Reconstruction; 3DGS; Embodied Intelligence
1338	REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning Authors: Shuguang Wang; Qian Zhou; Kui Wu; Dapeng Wu; Wei-Bin Lee; Jianping Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: autonomous driving; motion planning
1339	REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing Authors: Weihan Xu; Yimeng Ma; Jingyue Huang; Yang Li; Wenye Ma; Taylor Berg-Kirkpatrick; Julian McAuley; Paul Pu Liang; Hao-Wen Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Retrieval Augmented Generation; Video Editing
1340	RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Authors: Ruiqi Wang; Hao Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Referring Expression Segmentation; Prompting
1341	RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching Authors: Wenzhe Ouyang; Qi Ye; Jinghua Wang; Zenglin Xu; Jiming Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 6D Pose Estimation; Riemannian Flow Matching; Generative Modeling
1342	RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility Authors: Haoyu He; Haozheng Luo; Yan Chen; Qi Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human mobility prediction; large language models (LLMs); spatio-temporal forecasting
1343	RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation Authors: Tianyi Yan; Wencheng Han; xia zhou; Xueyang Zhang; Kun Zhan; Cheng-zhong Xu; Jianbing Shen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video generation; diffusion model; autonomous driving
1344	ROSE: Remove Objects with Side Effects in Videos Authors: Chenxuan Miao; Yutong Feng; Jianshu Zeng; Zixiang Gao; Liu Hantang; Yunfeng Yan; Donglian Qi; Xi Chen; Bin Wang; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video inpainting; diffusion transformer; video generation
1345	RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization Authors: Dongki Jung; Jaehoon Choi; Yonghan Lee; Dinesh Manocha Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: monocular depth estimation; omnidirectional; foundation model; scale alignment; graph optimization
1346	Rare Text Semantics Were Always There in Your Diffusion Transformer Authors: Seil Kang; Woojung Han; Dayun Ju; Seong Jae Hwang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative models; diffusion transformer; text-to-vision
1347	Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2) Authors: Zhenjie Yang; Xiaosong Jia; Qifeng Li; Xue Yang; Maoqing Yao; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: End-to-End Autonomous Driving; Reinforcement Learning
1348	RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion Authors: Bardienus Pieter Duisterhof; Jan Oberst; Bowen Wen; Stan Birchfield; Deva Ramanan; Jeffrey Ichnowski Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Vision; 3D completion
1349	ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding Authors: Yiyang Zhou; Yangfan He; Yaofeng Su; Siwei Han; Joel Jang; Gedas Bertasius; Mohit Bansal; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video understanding; Multi-agent framework; Reflective reasoning; VLA alignment; Video reasoning
1350	ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenes Authors: Jiaye Fu; Qiankun Gao; Chengxiang Wen; Yanmin Wu; Siwei Ma; Jiaqi Zhang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Streaming Free-viewpoint Video Reconstruction; Novel View Synthesis
1351	ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model Authors: Jialong Zuo; Yongtai Deng; Mengdan Tan; Rui Jin; Dongyue Wu; Nong Sang; Liang Pan; Changxin Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Person Re-identification; Multi-Modality; Benchmark
1352	ReMindRAG: Low-Cost LLM-Guided Knowledge Graph Traversal for Efficient RAG Authors: Yikuan Hu; Jifeng Zhu; Lanrui Tang; Chen Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Knowledge Graph; Large Language Models; Low-Cost Inference
1353	RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models Authors: Yeongtak Oh; Dohyun Chung; Juhyeon Shin; Sangha Park; Johan Barthelemy; Jisoo Mok; Sungroh Yoon Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-Modal Large Language Models; Personalization; Post-Training
1354	ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Authors: Mingyang Chen; Linzhuang Sun; Tianpeng Li; sunhaoze; ZhouYijie; Chenzheng Zhu; Haofen Wang; Jeff Z. Pan; Wen Zhang; Huajun Chen; Fan Yang; Zenan Zhou; Weipeng Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Chain-of-Thought Reasoning; Retrieval-Augmented Generation; Multi-hop Question Answering
1355	Reading Recognition in the Wild Authors: Charig Yang; Samiul Alam; Shakhrul Iman Siam; Michael J. Proulx; Lambert Mathias; Kiran Somasundaram; Luis Pesqueira; James Fort; Sheroze Sheriffdeen; Omkar Parkhi; Yuheng Ren; Mi… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: eye gaze; egocentric perception; multimodal learning; reading; eye tracking
1356	Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection Authors: Gongzhe Li; Linwei Qiu; Peibei Cao; Fengying Xie; Xiangyang Ji; Qilin Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Tone Mapping; HDR RAW Detection; Real-time; Embedded System
1357	Real-World Adverse Weather Image Restoration via Dual-Level Reinforcement Learning with High-Quality Cold Start Authors: Fuyang Liu; Jiaqi Xu; Xiaowei Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image restoration; adverse weather; deraining; dehazing; desnowing; and reinforcement learning
1358	Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models Authors: Huajie Tan; Yuheng Ji; Xiaoshuai Hao; Xiansheng Chen; Pengwei Wang; Zhongyuan Wang; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal; Reinforcement Fine-Tuning; Visual Reasoning
1359	Reasoning Beyond Points: A Visual Introspective Approach for Few-Shot 3D Segmentation Authors: Changshuo Wang; Shuting He; Xiang Fang; Zhijian Hu; JIA-HONG HUANG; Yixian Shen; Prayag Tiwari Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Point Cloud Semantic Segmentation; Few-shot Learning; Visual Introspective Prototype
1360	Rebalancing Contrastive Alignment with Bottlenecked Semantic Increments in Text-Video Retrieval Authors: Jian Xiao; Zijie Song; Jialong Hu; Hao Cheng; Zhenzhen Hu; Jia Li; Richang Hong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: cross-modal retrieval; text-video retrieval; video understanding
1361	Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models Authors: Ling Li; Yao Zhou; Yuxuan Liang; Fugee Tsung; Jiaheng Wei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Geo-localization; Large Vision-Language Models; Group Relative Policy Optimization
1362	Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos Authors: Kaihua Chen; Tarasha Khurana; Deva Ramanan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: novel-view synthesis; dynamic scenes; monocular videos; video diffusion; video inpainting; test-time finetuning
1363	Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs Authors: Vaggelis Dorovatas; Soroush Seifi; Gunshi Gupta; Rahaf Aljundi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: streaming video understanding; vlms; training-free; memory
1364	Reframing Gaussian Splatting Densification with Complexity-Density Consistency of Primitives Authors: Zhemeng Dong; Junjun Jiang; Youyu Chen; Jiaxin Zhang; Kui Jiang; Xianming Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Novel View Synthesis; 3D Reconstruction; Computer Vision
1365	Register and [CLS] tokens induce a decoupling of local and global features in large ViTs Authors: Alexander Lappe; Martin A. Giese Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision Transformer; Register Token
1366	Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection Authors: Yuyang Yu; Zhengwei Chen; Xuemiao Xu; Lei Zhang; Haoxin Yang; Yongwei Nie; Shengfeng He Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Point Cloud; Anomaly Detection
1367	Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation Authors: Yifu Luo; Xinhao Hu; Keyu Fan; Haoyuan Sun; Zeyu Chen; Bo Xia; Tiantian Zhang; Yongzhe Chang; Xueqian Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: reinforcement learning; masked autoregressive models; text-to-image model
1368	Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing Authors: Junfei Wu; Jian Guan; Kaituo Feng; Qiang Liu; Shu Wu; Liang Wang; Wei Wu; Tieniu Tan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Vision-Language Models; Spatial Reasoning
1369	ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search Authors: Zeyu Shen; Basileal Yoseph Imana; Tong Wu; Chong Xiang; Prateek Mittal; Aleksandra Korolova Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Natural Language Processing (NLP); Large Language Models (LLM); Retrieval-Augmented Generation (RAG); Adversarial Robustness
1370	Reliable Lifelong Multimodal Editing: Conflict-Aware Retrieval Meets Multi-Level Guidance Authors: Qiang Zhang; Fanrui Zhang; Jiawei Liu; Ming Hu; Junjun He; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Knowledge editing; Multimodal understanding; Retrieval-augmented
1371	Rendering-Aware Reinforcement Learning for Vector Graphics Generation Authors: Juan A. Rodriguez; Haotian Zhang; Abhay Puri; Rishav Pramanik; Aarash Feizi; Pascal Wichmann; Arnab Kumar Mondal; Mohammad Reza Samsami; Rabiul Awal; Perouz Taslakian; Spandana Ge… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: SVG; Scalable Vector Graphics; Multimodal; VLM; Reinforcement Learning
1372	Resounding Acoustic Fields with Reciprocity Authors: Zitong Lan; Yiduo Hao; Mingmin Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Acoustic Field; Audio Learning; Reciprocity
1373	Rethinking Nighttime Image Deraining via Learnable Color Space Transformation Authors: Qiyuan Guan; Xiang Chen; Guiyue Jin; Jiyu Jin; Shumin Fan; Tianyu Song; Jinshan Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Nighttime image deraining; Benchmark dataset; Color space transformation
1374	Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection Authors: Lin Zhu; LongTengyu; Xiao Wang; Lizhi Wang; Hua Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Event-based object detection; temporal feature extraction
1375	Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization Authors: Jiaqi Wei; Hao Zhou; Xiang Zhang; Di Zhang; Zijie Qiu; Noah Wei; Jinzhe Li; Wanli Ouyang; Siqi Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation (RAG); Test-time Scaling
1376	Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval Authors: Lanyun Zhu; Deyi Ji; Tianrun Chen; Haiyang Wu; Shiqi Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal retrieval
1377	RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data Authors: Wenchao Ma; Dario Michael Kneubuehler; Maurice Chu; Ian Sachs; Haomiao Jiang; Sharon X Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Creative AI; Auto-rigging; Facial Animation
1378	Rising from Ashes: Generalized Federated Learning via Dynamic Parameter Reset Authors: Jiahao Wu; Ming Hu; Yanxin Yang; Xiaofei Xie; ZeKai Chen; Chenyu Song; Mingsong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Federated Learning
1379	RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo Authors: Jueun Ko; Hyewon Park; Hyesong Choi; Dongbo Min Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: continual test time adaptation; 3D computer vision
1380	Robust Ego-Exo Correspondence with Long-Term Memory Authors: Yijun Hu; Bing Fan; Xin Gu; Haiqing Ren; Dongfang Liu; Heng Fan; Libo Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object Segmentation
1381	Robust Egocentric Referring Video Object Segmentation via Dual-Modal Causal Intervention Authors: Haijing Liu; Zhiyuan Song; Hefeng Wu; Tao Pu; Keze Wang; Liang Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video object segmentation; egocentric; vision and language; multi-modal; causal learning
1382	Role Bias in Diffusion Models: Diagnosing and Mitigating through Intermediate Decomposition Authors: Sina Malakouti; Adriana Kovashka Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Models; Role Biding; Directional Bias; Compositional Generalization
1383	Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping Authors: Justin Lazarow; Kai Kang; Afshin Dehghan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d; 3d object detection; mapping
1384	SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation Authors: Wenyi Yu; Siyin Wang; Xiaoyu Yang; Xianzhao Chen; Xiaohai Tian; Jun Zhang; Guangzhi Sun; Lu Lu; Yuxuan Wang; Chao Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: speech large language model; spoken dialogue model; full duplex model
1385	SAO-Instruct: Free-form Audio Editing using Natural Language Instructions Authors: Michael Ungersböck; Florian Grötschla; Luca A Lanzendörfer; June Young Yi; Changho Choi; Roger Wattenhofer Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: audio editing; text-to-audio generation; generative audio
1386	SAP: Exact Sorting in Splatting via Screen-Aligned Primitives Authors: Zhanke Wang; Zhiyan Wang; Kaiqiang Xiong; Jiahao Wu; Yang Deng; Ronggang Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3DGS; NeRF; Novel View Synthesis
1387	SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought Authors: Guanghao Li; Wenhao Jiang; Mingfeng Chen; Yan Li; Hao Yu; Shuting Dong; Tao Ren; Ming Tang; Chun Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Recursive reasoning; Flow Chain-of-Thought
1388	SDTagNet: Leveraging Text-Annotated Navigation Maps for Online HD Map Construction Authors: Fabian Immel; Jan-Hendrik Pauls; Richard Fehler; Frank Bieder; Jonas Merkert; Christoph Stiller Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Autonomous Driving; Birds-Eye-View Perception; Vectorized HD map construction; SD Map Prior; Natural Language Processing
1389	SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents Authors: Yifu Guo; Jiaye Lin; Huacan Wang; Yuzhen Han; Sen Hu; Ziyi Ni; Licheng Wang; Mingguang Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM-Based Agents; Self-Evolution; Multi-Step Reasoning
1390	SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Authors: Xinbin Yuan; Jian Zhang; Kaixin Li; Zhuoxuan Cai; Lujian Yao; Jie Chen; Enguang Wang; Qibin Hou; Jinwei Chen; Peng-Tao Jiang; Bo Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: gui agent; reinforcement learning; visual grounding
1391	SEGA: Shaping Semantic Geometry for Robust Hashing under Noisy Supervision Authors: Yiyang Gu; Bohan Wu; Qinghua Ran; Rong-Cheng Tu; Xiao Luo; Zhiping Xiao; Wei Ju; Dacheng Tao; Ming Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robust Hashing; Semantic Geometry; Noisy Supervision
1392	SGAR: Structural Generative Augmentation for 3D Human Motion Retrieval Authors: Jiahang Zhang; Lilang Lin; Shuai Yang; Jiaying Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Motion Representation; Motion Retrieval
1393	SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation Authors: Yanwei Ren; Haotian Zhang; Fuxiang Wu; Jiayan Qiu; Jiaxing Huang; Baosheng Yu; Liu Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Monte Carlo Tree Search (MCTS); Data Augmentation; Large Language Models (LLMs); Sibling Guidance
1394	SMARTraj$^2$: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning Authors: Tangwen Qian; Junhe Li; Yile Chen; Gao Cong; Zezhi Shao; Jun Zhang; Tao Sun; Fei Wang; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Trajectory Representation Learning; Spatio-Temporal Data Mining; Self-Supervised Learning
1395	SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks Authors: Xinyu Luo; Kecheng Chen; Pao-Sheng Vincent Sun; Chris XING TIAN; Arindam Basu; Haoliang Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Test-time Adaptation; Spiking Neural Networks
1396	SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding Authors: Zhao Jin; Rong-Cheng Tu; Jingyi Liao; Wenhao Sun; Xiao Luo; Shunyu Liu; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Visual Grounding; Multi-modal Agent; Zero-shot
1397	SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Authors: Yue Gong; Chuan Lei; Xiao Qin; Kapil Vaidya; Balakrishnan Murali Narayanaswamy; Tim Kraska Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Text-to-SQL; Error Detection; Error Correction
1398	SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning Authors: Zhongwei Wan; Zhihao Dou; Che Liu; Yu Zhang; Dongfei Cui; Qinjian Zhao; Hui Shen; Jing Xiong; Yi Xin; Yifan Jiang; Chaofan Tao; Yangfan He; Mi Zhang; Shen Yan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: MLLMs; Reasoning
1399	SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning Authors: Chen Chen; Majid Abdolshah; Violetta Shevchenko; Hongdong Li; Chang Xu; Pulak Purkait Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Real-World Image Super-Resolution; Diffusion Models; Attention Mechanism
1400	SSIMBaD: Sigma Scaling with SSIM-Guided Balanced Diffusion for AnimeFace Colorization Authors: Junpyo Seo; HanbinKoo; Jieun Yook; Byung-Ro Moon Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Models; Noise Scheduling; Perceptual Consistency; Reference-guided Generation; Conditional Diffusion Models; Generative Modeling; Sketch-to-Image Tra…
1401	SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Authors: Yang Liu; Ming Ma; Xiaomin Yu; Pengxiang Ding; Han Zhao; Mingyang Sun; Siteng Huang; Donglin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual-Language Model
1402	ST$^2$360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation Authors: Zidong Cao; Jinjing Zhu; Hao Ai; Lutao Jiang; Yuanhuiyi Lyu; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 360 camera; monocular depth estimation
1403	STAR: Spatial-Temporal Tracklet Matching for Multi-Object Tracking Authors: Xuewei Bai; Yongcai Wang; Deying Li; Haodi Ping; LI Chunxu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multi-object-tracking; spatial-temporal; graph matching
1404	STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds Authors: Yinfang Chen; Jiaqi Pan; Jackson Clark; Yiming Su; Noah Zheutlin; Bhavya Bhavya; Rohan R. Arora; Yu Deng; Saurabh Jha; Tianyin Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Agentic AI; Large Language Model; System Reliability
1405	SWE-SQL: Illuminating LLM Pathways to Solve User SQL Issues in Real-World Applications Authors: Jinyang Li; Xiaolong Li; Ge Qu; Per Jacobsson; Bowen Qin; Binyuan Hui; Shuzheng Si; Nan Huo; Xiaohan Xu; Yue Zhang; Ziwei Tang; Yuanshuai Li; Florensia Widjaja; Xintong Zhu; Feige… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: text-to-SQL; LLM; SQL issues
1406	SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly Authors: Wei Zhu; Zhiwen Tang; Kun Yue Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: MCTS; Multi-Agent; Sequential Decision Making; LLM
1407	SaFiRe: Saccade-Fixation Reiteration with Mamba for Referring Image Segmentation Authors: Zhenjie Mao; Yuhuan Yang; Chaofan Ma; Dongsheng Jiang; Jiangchao Yao; Ya Zhang; Yanfeng Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Referring Image Segmentation; Referential Ambiguity; Mamba; Multi-Modal Understanding
1408	Sample-Efficient Multi-Round Generative Data Augmentation for Long-Tail Instance Segmentation Authors: Byunghyun Kim; Minyoung Bae; Jae-Gil Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: instance segmentation; data synthesis; diffusion; copy-paste augmentation
1409	Scalable Best-of-N Selection for Large Language Models via Self-Certainty Authors: Zhewei Kang; Xuandong Zhao; Dawn Song Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Best-of-N; Reasoning; LLM
1410	ScaleDiff: Higher-Resolution Image Synthesis via Efficient and Model-Agnostic Diffusion Authors: Sungho Koh; SeungJu Cha; Hyunwoo Oh; Kwanyoung Lee; Dong-Jin Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion; High Resolution Image Synthesis
1411	Scaling Image Geo-Localization to Continent Level Authors: Philipp Lindenberger; Paul-Edouard Sarlin; Jan Hosang; Marc Pollefeys; Simon Lynen; Eduard Trulls Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-modal; Geo-localization; Image-to-GPS retrieval; Cross-view retrieval
1412	Scaling RL to Long Videos Authors: Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov; Jan Kautz; XIAOJUAN QI; Sifei Liu; Hongxu Yin; Yao Lu; Song Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision language models; Long video reasoning; Reinforcement Learning
1413	SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency Authors: Quanjian Song; Donghao Zhou; Jingyu Lin; Fei Shen; Jiaze Wang; Xiaowei Hu; Cunjian Chen; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Story Generation; Scene Planning; Scene Consistency
1414	SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent Authors: Yandan Yang; Baoxiong Jia; Shujie Zhang; Siyuan Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Scene Synthesis; Reflective Agents
1415	Sculpting Features from Noise: Reward-Guided Hierarchical Diffusion for Task-Optimal Feature Transformation Authors: Nanxu Gong; Zijun Li; Sixun Dong; Haoyue Bai; Wangyang Ying; Xinyuan Wang; Yanjie Fu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Feature Transformation; Diffusion Model; Reward-Guided Generation
1416	Securing the Language of Life: Inheritable Watermarks from DNA Language Models to Proteins Authors: ZAIXI ZHANG; Ruofan Jin; Le Cong; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Watermark; LLMs; DNA; AI for Science; AI Safety
1417	See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy Prediction Authors: Wuyuan; Zhiqiang Yan; Yigong Zhang; Xiang Li; Jian Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: occupancy prediction; nighttime scenes; illumination-driven modeling
1418	See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model Authors: Pengteng Li; Pinhao Song; Wuyang Li; Huizai Yao; Weiyu Guo; Yijie Xu; Dugang Liu; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: MLLM; Spatial Understanding; VLM
1419	Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation Authors: Riccardo Corvi; Davide Cozzolino; Ekta Prashnani; Shalini De Mello; Koki Nagano; Luisa Verdoliva Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: generative AI; media forensics; synthetic video detection
1420	Seeing the Arrow of Time in Large Multimodal Models Authors: Zihui Xue; Mi Luo; Kristen Grauman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: arrow of time; large multimodal models; video understanding; videoQA
1421	Seeing the Wind from a Falling Leaf Authors: Zhiyuan Gao; Jiageng Mao; Hong-Xing Yu; Haozhe Lou; Emily Yue-ting Jia; Jernej Barbic; Jiajun Wu; Yue Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Physics-based Vision
1422	Seg-VAR:Image Segmentation with Visual Autoregressive Modeling Authors: rongkun Zheng; Lu Qi; Xi Chen; Yi Wang; Kun Wang; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: image segmentation; autoregressive modeling; reinforcement learning
1423	SegGraph: Leveraging Graphs of SAM Segments for Few-Shot 3D Part Segmentation Authors: Yueyang Hu; Haiyong Jiang; Haoxuan Song; Jun Xiao; Hao Pan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d Part Segmentation; few-shot
1424	Segment Anything Model Meets Semi-supervised Medical Image Segmentation: A Novel Perspective Authors: Haifeng Zhao; Haiyang Li; Leilei Ma; Dengdi Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semi-supervised Segmentation; Segment Anything Model; Knowledge Distillation
1425	Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian Splatting Authors: Yiren Lu; Yunlai Zhou; Yiran Qiao; Chaoda Song; Tuo Liang; Jing Ma; Huan Wang; Yu Yin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction; 3D Scene Understanding; Open Vocabulary Segmentation; Differentiable Rendering
1426	Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models Authors: Liang Peng; Boxi Wu; Haoran Cheng; Yibo Zhao; Xiaofei He Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion; generative model
1427	Self-Supervised Learning of Graph Representations for Network Intrusion Detection Authors: Lorenzo Guerra; Thomas Chapuis; Guillaume Duc; Pavlo Mozharovskyi; Van-Tam Nguyen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Self-supervised learning; Graph neural networks; Masked autoencoder; Anomaly detection; Intrusion detection; Network security; Representation learning
1428	Self-diffusion for Solving Inverse Problems Authors: Guanxiong Luo; Shoujin Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: inverse problems; computational imaging; image reconstruction; diffusion models
1429	SemCoT: Accelerating Chain-of-Thought Reasoning through Semantically-Aligned Implicit Tokens Authors: Yinhan He; Wendy Zheng; Yaochen Zhu; Zaiyi Zheng; Lin Su; Sriram Vasudevan; Qi Guo; Liangjie Hong; Jundong Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Chain of Thought (CoT) reasoning
1430	Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Authors: Ziqiang Cui; Yunpeng Weng; Xing Tang; Xiaokun Zhang; Shiwei Li; Peiyang Liu; Bowei He; Dugang Liu; Weihong Luo; xiuqiang He; Chen Ma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Recommender Systems; Contrastive Learning
1431	Semantic and Visual Crop-Guided Diffusion Models for Heterogeneous Tissue Synthesis in Histopathology Authors: Saghir Alfasly; Wataru Uegami; Md. Enamul Hoq; Ghazal Alabtah; Hamid Tizhoosh Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Histopathology; Generative models; Diffusion models; Image synthesis; Heterogeneous tissue; Self-supervised diffusion model
1432	SensorLM: Learning the Language of Wearable Sensors Authors: Yuwei Zhang; Kumar Ayush; Siyuan Qiao; A. Ali Heydari; Girish Narayanswamy; Maxwell A Xu; Ahmed Metwally; Jinhua Xu; Jake Garrison; Xuhai Xu; Tim Althoff; Yun Liu; Pushmeet Kohli;… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sensor-Language Models; Wearable Sensors; Foundation Models; Multimodal Learning; Healthcare
1433	ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling Authors: Shuyuan Zhang; Chenhan Jiang; Zuoou Li; Jiankang Deng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Text-to-3D Generation; LLM Agents; 3D Modeling
1434	SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration Authors: Yan Zhuang; Jiawei Ren; Xiaokang Ye; Jianzhi Shen; Ruixuan Zhang; Tianai Yue; Muhammad Faayez; Xuhong He; Xiyan Zhang; Ziqiao Ma; Lianhui Qin; Zhiting Hu; Tianmin Shu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied Simulator; Multimodal Instruction Following; Robot Navigation; Multi-Robot Collaboration; Communication
1435	Simple Distillation for One-Step Diffusion Models Authors: Huaisheng Zhu; Teng Xiao; Shijie Zhou; Zhimeng Guo; Hangfan Zhang; Siyuan Xu; Vasant G Honavar Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Efficient Image Generation
1436	SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation Authors: Chenyang Le; Bing Han; Jinshun Li; Chen Songyong; Yanmin Qian Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Simultaneous Speech Translation; Streaming Text-To-Speech
1437	Single-Step Operator Learning for Conditioned Time-Series Diffusion Models Authors: Hui Chen; Vikas Singh Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time series; Diffusion model
1438	Single-pass Adaptive Image Tokenization for Minimum Program Search Authors: Shivam Duggal; Sanghyun Byun; William T. Freeman; Antonio Torralba; Phillip Isola Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Adaptive Tokenization; Representation Learning; Intelligent Compression
1439	SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches Authors: Ehsan Latif; Zirak Khan; Xiaoming Zhai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Educational AI; Multimodal Learning; Scientific Reasoning; Cognitive Modeling; Sketch-Based Assessment
1440	Smooth and Flexible Camera Movement Synthesis via Temporal Masked Generative Modeling Authors: Chenghao Xu; Guangtao Lyu; Jiexi Yan; Muli Yang; Cheng Deng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Camera Movement; human dance
1441	SnapMoGen: Human Motion Generation from Expressive Texts Authors: chuan guo; Inwoo Hwang; Jian Wang; Bing Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Human Motion Generation
1442	SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization Authors: Xiaofeng Tan; Hongsong Wang; Xin Geng; Pan Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Motion Generation; DPO; RLHF
1443	SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement Authors: Chenyu Yang; Shuai Wang; Hangting Chen; Wei Tan; Jianwei Yu; Haizhou Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Song generation; Autoregressive diffusion; Music generation; Interleaved paradigm
1444	Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling Authors: Zhihao Li; Yufei Wang; Heliang Zheng; Yihao Luo; Bihan Wen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Reconstruction; 3D Generation
1445	Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations Authors: Yuhao Yang; Zhi Ji; Zhaopeng Li; YI LI; Zhonglin Mo; Yue Ding; Kai Chen; Zijian Zhang; Jie Li; shuanglong li; LIU LIN Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generative Recommendation
1446	Sparta Alignment: Collectively Aligning Multiple Language Models through Combat Authors: Yuru Jiang; Wenxuan Ding; Shangbin Feng; Greg Durrett; Yulia Tsvetkov Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: alignment; model collaboration
1447	SpatialLM: Training Large Language Models for Structured Indoor Modeling Authors: Yongsen Mao; Junhao Zhong; Chuan Fang; Jia Zheng; Rui Tang; Hao Zhu; Ping Tan; Zihan Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Structured Indoor Modeling; Large Language Models; Spatial Understanding; 3D Reconstruction
1448	SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning Authors: Wufei Ma; Yu-Cheng Chou; Qihao Liu; Xingrui Wang; Celso M de Melo; Jianwen Xie; Alan Yuille Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Spatial Reasoning; Vision-Language Models
1449	Spectral Compressive Imaging via Chromaticity-Intensity Decomposition Authors: Xiaodong Wang; Zijun He; Ping Wang; Lishun Wang; Yanan Hu; Xin Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computational imaging; computational photography
1450	Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks Authors: Yi Xiao; Qiangqiang Yuan; Kui Jiang; Wenke Huang; Qiang Zhang; Tingting Zheng; Chia-Wen Lin; Liangpei Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Remote sensing imagery; super-resolution; spiking neural network
1451	Spiking Neural Networks Need High-Frequency Information Authors: Yuetong Fang; Deming Zhou; Ziqing Wang; Hongwei Ren; ZeCui Zeng; Lusong Li; shibo zhou; Renjing Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Spiking Neural Networks; Vision Transformers
1452	Spiral: Semantic-Aware Progressive LiDAR Scene Generation and Understanding Authors: Dekai Zhu; Yixuan Hu; Youquan Liu; Dongyue Lu; Lingdong Kong; Slobodan Ilic Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LiDAR Diffusion; LiDAR Generation; LiDAR Semantic Segmentation
1453	Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation Authors: Siwei Wen; Junyan Ye; Peilin Feng; Hengrui Kang; Zichen Wen; Yize Chen; Jiang Wu; wenjun wu; Conghui He; Weijia Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Synthetic Image Detection; Deepfake; Large Multimodal Model
1454	Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation Authors: Agneet Chatterjee; Rahim Entezari; Maksym Zhuravinskyi; Maksim Lapin; Reshinth Adithyan; Amit Raj; Chitta Baral; Yezhou Yang; Varun Jampani Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Generation; Professional Controls; Evaluations
1455	Statistics Caching Test-Time Adaptation for Vision-Language Models Authors: Zenghao Guan; Zhou Yucan; Wu Liu; Xiaoyan Gu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Models; CLIP; Test time; Transfer Learning
1456	Steering When Necessary: Flexible Steering Large Language Models with Backtracking Authors: Zifeng Cheng; Jinwei Gan; Zhiwei Jiang; Cong Wang; Yafeng Yin; Xiang Luo; Yuchen Fu; Qing Gu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Activation steering
1457	Stitch and Tell: A Structured Data Augmentation Method for Spatial Understanding Authors: Hang Yin; Xiaomin He; Peiwen Yuan; Yiwei Li; Jiayi Shi; Wenxiao Fan; Shaoxiong Feng; Kan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: data augmentation; multimodal language model; spatial understanding
1458	StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant Authors: Haibo Wang; Bo Feng; Zhengfeng Lai; Mingze Xu; Shiyu Li; Weifeng Ge; Afshin Dehghan; Meng Cao; Ping Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Large Language Model; Streaming Video Understanding
1459	Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation Authors: Wei Yang; Rui Zhong; Yiqun Chen; Chi Lu; Peng Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Recommendation; Spectral Modeling; Graph Learning
1460	Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles Authors: Peng Wang; Xiang Liu; Peidong Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Style Transfer; Instant 3D Reconstruction
1461	Surface-Aware Feed-Forward Quadratic Gaussian for Frame Interpolation with Large Motion Authors: Zaoming Yan; Yaomin Huang; pengcheng lei; Qizhou Chen; Guixu Zhang; Faming Fang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video synthesis; large motion; multimedia
1462	SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction Authors: Chensheng Dai; Shengjun Zhang; Min Chen; Yueqi Duan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; feed-forward netowrk; surface reconstruction
1463	SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning Authors: Yiting Wang; Wanghao Ye; Ping Guo; Yexiao He; Ziyao Wang; Bowei Tian; Shwai He; Guoheng Sun; Zheyu Shen; Sihan Chen; Ankur Srivastava; Qingfu Zhang; Gang Qu; Ang Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: RTL Optimization; Neuron-Symbolic; Electronic Design Automation
1464	SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking Authors: Shubo Lin; Yutong Kou; Zirui Wu; Shaoru Wang; Bing Li; Weiming Hu; Jin Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Autonomous Driving; Multi-Camera 3D perception; Multi-Camera 3D Tracking
1465	T-norm Selection for Object Detection in Autonomous Driving with Logical Constraints Authors: Thomas Eiter; Katsumi Inoue; Nelson Higuera Ruiz; Sota Moriyama Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Neurosymbolic; Computer Vision; Fuzzy Logic
1466	T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models Authors: Jindong Yang; Han Fang; Weiming Zhang; Nenghai Yu; Kejiang Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Watermark; Diffusion Models
1467	TAPIP3D: Tracking Any Point in Persistent 3D Geometry Authors: Bowei Zhang; Lei Ke; Adam W Harley; Katerina Fragkiadaki Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d point tracking
1468	TOMCAT: Test-time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning Authors: Xudong Yan; Songhe Feng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Compositional Zero-Shot Learning; Compositionality; Visual-Attribute; Label Space Shift
1469	TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation Authors: Zhekai Chen; Ruihang Chu; Yukang Chen; Shiwei Zhang; Yujie Wei; Yingya Zhang; Xihui Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Auto-Regressive Modeling; Image Generation; Test-time Scaling
1470	TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling Authors: Yuancheng Wang; Dekun Chen; Xueyao Zhang; Junan Zhang; Jiaqi Li; Zhizheng Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Speech Tokenizer; Text-to-Speech; Speech Language Modeling; Diffusion Model
1471	Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models Authors: Jun Ling; Yao Qi; Tao Huang; Shibo Zhou; Yanqin Huang; Yang Jiang; Ziqi Song; Ying Zhou; Yang Yang; Heng Tao Shen; Peng Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: table recognition; latex generation
1472	Tail-Optimized Caching for LLM Inference Authors: Wenxin Zhang; Yueying Li; Ciamac C. Moallemi; Tianyi Peng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: prompt caching; large language models; tail latency; KV‑cache eviction; Least‑Recently‑Used
1473	Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments Authors: Shitong Xu; Yiyuan Yang; Niki Trigoni; Andrew Markham Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Target Speech Extraction; Few-Shot Inference
1474	Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment Authors: Weixiang Zhao; Xingyu Sui; Yulin Hu; Jiahe Guo; Haixiao Liu; Biye Li; Yanyan Zhao; Bing Qin; Ting Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Personalized Alignment; Large Language Model
1475	Teaching Language Models to Reason with Tools Authors: Chengpeng Li; Zhengyang Tang; Ziniu Li; Mingfeng Xue; Keqin Bao; Tian Ding; Ruoyu Sun; Benyou Wang; Xiang Wang; Junyang Lin; Dayiheng Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Tool-integrated Reasoning; Large Reasoning Model; Long Chain-of-Thought
1476	TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs Authors: Yunheng Li; JingCheng; Shaoyong Jia; Hangyi Kuang; Shaohui Jiao; Qibin Hou; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Temporal Grounding; Multimodal Large Language Model; Reinforcement Fine-Tuning
1477	Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames Authors: Anurag Arnab; Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: VLM; Long-video understanding; video question-answering; long-context
1478	Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting Authors: Hyeongmin Lee; Kyungjune Baek Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: compression; video; 4D; gaussian splatting
1479	Test-Time Adaptive Object Detection with Foundation Model Authors: Yingjie Gao; Yanan Zhang; Zhi Cai; Di Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: object detection; test-time adaptation; foundation model; prompt tuning
1480	Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models Authors: Konstantinos M. Dafnis; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Models; Foundation Model; CLIP; Test-Time Adaptation; Generalization; Out-of-Distribution Robustness
1481	Test3R: Learning to Reconstruct 3D at Test Time Authors: Yuheng Yuan; Qiuhong Shen; Shizun Wang; Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D reconstruction
1482	Text to Sketch Generation with Multi-Styles Authors: Tengjie Li; Shikui Tu; Lei Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: sketch genration; multi-style generation; text to image; diffusion model
1483	Text-Aware Real-World Image Super-Resolution via Diffusion Model with Joint Segmentation Decoders Authors: Qiming Hu; Linlong Fan; luoyiyan; Yuhang Yu; Xiaojie Guo; Qingnan Fan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Super-Resolution; Text Structure Preservation; Text Segmentation; Multi-task Learning; Diffusion Model
1484	Text-to-Code Generation for Modular Building Layouts in Building Information Modeling Authors: Yinyi WEI; Xiao LI Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Building layout design; Modular construction; Building information modeling; Code generation; Large language models
1485	The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Experts in a Single Expert Model Authors: Sohini Saha; Mezisashe S Ojuba; Leslie M. Collins; Boyla Mainsah Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: speech enhancement; mixture-of-experts; omni-expert; feature transformation; cochlear implants
1486	The Promise of RL for Autoregressive Image Editing Authors: Saba Ahmadi; Rabiul Awal; Ankur Sikarwar; Amirhossein Kazemnejad; Ge Ya Luo; Juan A. Rodriguez; Sai Rajeswar; Siva Reddy; Christopher Pal; Benno Krojer; Aishwarya Agrawal Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image editing; Autoregressive; MLLM; GRPO; RL; Reasoning
1487	The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Authors: Shivam Agarwal; Zimin Zhang; Lifan Yuan; Jiawei Han; Hao Peng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language model; alignment; finetuning
1488	Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models Authors: Jiaqi WANG; Kevin Qinghong Lin; James Cheng; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Models; Reinforcement Learning
1489	ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning Authors: Chi-Pin Huang; Yueh-Hua Wu; Min-Hung Chen; Yu-Chiang Frank Wang; Fu-En Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language-Action Models; Reasoning
1490	ThinkSound: Chain-of-Thought Reasoning in Multimodal LLMs for Audio Generation and Editing Authors: Huadai Liu; Kaicheng Luo; Jialei Wang; Wen Wang; Qian Chen; Zhou Zhao; Wei Xue Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Any-to-Audio Generation; Chain-of-thought; Multimodal Large Language Model
1491	Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning Authors: Yihong Tang; Kehai Chen; Muyun Yang; Zheng-Yu Niu; Jing Li; Tiejun Zhao; Min Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Role-playing; dialogue generation
1492	Time-R1: Post-Training Large Vision Language Model for Temporal Video Grounding Authors: Ye Wang; Ziheng Wang; Boshen Xu; Yang Du; Kejun Lin; Zihan Xiao; Zihao Yue; Jianzhong Ju; Liang Zhang; Dingyi Yang; Xiangnan Fang; Zewen He; Zhenbo Luo; Wenxuan Wang; Junqi Lin; J… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large vision language model; temporal video grounding; reinforcement learning; post-training
1493	Time-o1: Time-Series Forecasting Needs Transformed Label Alignment Authors: Hao Wang; Licheng Pan; Zhichao Chen; Xu Chen; Qingyang Dai; Lei Wang; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time-Series; Label Autocorrelation; Orthogonalization
1494	ToF-IP: Time-of-Flight Enhanced Sparse Inertial Poser for Real-time Human Motion Capture Authors: Yuan Yao; Shifan Jiang; Yangqing Hou; Chengxu Zuo; Xinrui Chen; Shihui Guo; Yipeng Qin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: IMU; ToF; Motion Capture
1495	Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task Authors: Sunqi Fan; Jiashuo Cui; Meng-Hao Guo; Shuojin Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Question Answering; Tool Learning; Visual Reasoning
1496	Toward Human Deictic Gesture Target Estimation Authors: Xu Cao; Pranav Virupaksha; Sangmin Lee; Bolin Lai; Wenqi Jia; Jintai Chen; James Matthew Rehg Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Deictic Gesture; Gesture Target Estimation; Social Interaction; Social Artificial Intelligence
1497	Toward Interpretable Evaluation Measures for Time Series Segmentation Authors: Félix Chavelli; Paul Boniol; Michaël Thomazo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: time series; state detection; change point detection; evaluation measure; interpretability
1498	Towards 3D Objectness Learning in an Open World Authors: Taichi Liu; Zhenyu Wang; Ruofeng Liu; Guang Wang; Desheng Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Open world; 3D Object Detection
1499	Towards Accurate Time Series Forecasting via Implicit Decoding Authors: Xinyu Li; Yuchen Luo; Hao Wang; Haoxuan Li; Liuhua Peng; Feng Liu; Yandong Guo; Kun Zhang; Mingming Gong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Time Series Forecasting; Frequency-domain
1500	Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes Authors: Jumin Han; Jun-Hee Kim; Seong-Whan Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Lifting-based 3D Human Pose Estimation
1501	Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era Authors: Feng Lu; Tong Jin; Canming Ye; Xiangyuan Lan; Yunpeng Liu; Chun Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Place Recognition; Image Descriptors; Aggregation
1502	Towards Predicting Any Human Trajectory In Context Authors: Ryo Fujii; Hideo Saito; Ryo Hachiuma Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: In-Context Learning; pedestrian trajectory forecasting; trajectory prediction
1503	Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport Authors: Taoran Zheng; Yan Yang; Xing Li; Xiang Gu; Jian Sun; Zongben Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: prospective medical image reconstruction; dynamic optimal transport; inverse problem; imaging knowledge-informed
1504	Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology Authors: Luting Wang; Yinghao Xiang; Hongliang Huang; Dongjun Li; Chen Gao; Si Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Task Scheduling; Satellite Constellation; Realistic; Benchmark; Transformer
1505	Towards Reliable Identification of Diffusion-based Image Manipulations Authors: Alex Costanzino; Woody Bayliss; Juil Sock; Marc Gorriz Blanch; Danijela Horak; Ivan Laptev; Philip Torr; Fabio Pizzati Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: ifdl; image; forgery; identification; robust; robustness; generalised; generalized; generalisation; generalization; detection; localisation; localization; tamp…
1506	Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective Authors: Wangkai Li; Rui Sun; Zhaoyang Li; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semantic segmentation
1507	Towards Robust Uncertainty Calibration for Composed Image Retrieval Authors: Yifan Wang; Wuliang Huang; Yufan Wen; Shunning Liu; Chun Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Search; Composed Image Retrieval; Uncertainty Estimation
1508	Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts Authors: Chen Li; Huiying Xu; Changxin Gao; Zeyu Wang; Yun Liu; Xinzhong Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object detection; Single Domain Generalized Object Detection; Robustness Object Detection
1509	Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions Authors: Aobo Li; Jinjian Wu; Yongxu Liu; Leida Li; Weisheng Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Blind Image Quality Assessment; Data Distribution Reshaping; Synthetic Data
1510	Towards Unified Multimodal Interleaved Generation via Group Relative Policy Optimization Authors: Ming Nie; Chunwei Wang; Jianhua Han; Hang Xu; Li Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal interleaved generation; unified models; reinforcement learning
1511	Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation Authors: Wangkai Li; Rui Sun; Huayu Mai; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semantic segmentation; unsupervised domain adaptation
1512	Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling Authors: Shuhong Zheng; Ashkan Mirzaei; Igor Gilitschenski Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Subject-driven Generation; Personalization; 3D and 4D Generation
1513	Track3R: Joint Point Map and Trajectory Prior for Spatiotemporal 3D Understanding Authors: Seong Hyeon Park; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: computer vision
1514	Tracking and Understanding Object Transformations Authors: Yihong Sun; Xinyu Yang; Jennifer J. Sun; Bharath Hariharan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: object tracking; transformations; state change detection; spatiotemporal reasoning; zero-shot
1515	TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels Authors: Jiahao Lu; Weitao Xiong; Jiacheng Deng; Peng Li; Tianyu Huang; Zhiyang Dou; Cheng Lin; Sai-Kit Yeung; Yuan Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: deep learning; computer vision; 3D point tracking
1516	TractoTransformer: Diffusion MRI Streamline Tractography using CNN and Transformer Networks Authors: Itzik Waizman; Yakov Gusakov; Itay Benou; Tammy Riklin Raviv Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Neuroimaging; Diffusion MRI; White Matter Tractography; Sequential Modeling; Transformers; Convolutional Neural Networks
1517	Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning Authors: Haomiao Qiu; Miao Zhang; Ziyue Qiao; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Continual Learning; Model Merging
1518	Training Language Models to Generate Quality Code with Program Analysis Feedback Authors: Feng Yao; Zilong Wang; Liyuan Liu; Junxia Cui; Li Zhong; Xiaohan Fu; Haohui Mai; Vish Krishnan; Jianfeng Gao; Jingbo Shang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code Generation; Reinforcement Learning; Program Analysis
1519	Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models Authors: Shenglong Zhou; Manjiang Yin; Leiyu Sun; Shicai Yang; Di Xie; Jiang Zhu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: vision-language model; test-time adaptation; transfer learning
1520	Training-free Online Video Step Grounding Authors: Luca Zanella; Massimiliano Mancini; Yiming Wang; Alessio Tonioni; Elisa Ricci Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video step grounding; training-free; large multimodal models
1521	TrajAgent: An LLM-Agent Framework for Trajectory Modeling via Large-and-Small Model Collaboration Authors: Yuwei Du; Jie Feng; Jie Zhao; Yong Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM-based Agent; Trajectory Data Mining; Collaboration Learning
1522	TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems Authors: Jiahao Yu; Haozhuang Liu; Yeqiu Yang; Lu Chen; Wu Jian; Yuning Jiang; Bo Zheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Recommender Systems; Regression Models in Recommender Systems
1523	TreeSplat: Mergeable Tree for Deformable Gaussian Splatting Authors: Qiuhong Shen; Xingyi Yang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Dynamic 3D Scenes; 3D Gaussian Splatting
1524	Truth over Tricks: Measuring and Mitigating Shortcut Learning in Misinformation Detection Authors: Herun Wan; Jiaying Wu; Minnan Luo; Zhi Zeng; Zhixiong Su Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Shortcut Learning; Injection Attack; Misinformation Detection
1525	U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matching Authors: Junsheng Zhou; XingYu Shi; Haichuan Song; Yi Fang; Yu-Shen Liu; Zhizhong Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Unsupervised point cloud denoising; noise-to-noise matching; denoising consistency
1526	UFM: A Simple Path towards Unified Dense Correspondence with Flow Authors: Yuchen Zhang; Nikhil Varma Keetha; Chenwei Lyu; Bhuvan Jhamb; Yutian Chen; Yuheng Qiu; Jay Karhade; Shreyas Jha; Yaoyu Hu; Deva Ramanan; Sebastian Scherer; Wenshan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Matching; Optical Flow Estimation
1527	UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights Authors: Shijun Liang; Ismail Alkhouri; Siddhant Gautam; Qing Qu; Saiprasad Ravishankar Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Inverse Imaging Problems; Deep Image Prior; Unsupervised Learning; Magnetic Resonance Imaging
1528	UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents Authors: Han Xiao; Guozhi Wang; Yuxiang Chai; Zimu Lu; Weifeng Lin; Hao He; Lue Fan; Liuyang Bian; Rui Hu; Liang Liu; Shuai Ren; Yafei Wen; Xiaoxin Chen; Aojun Zhou; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-modal Large Language Model; GUI Agent
1529	Ultra-high Resolution Watermarking Framework Resistant to Extreme Cropping and Scaling Authors: Nan Sun; LuYu Yuan; Han Fang; Yuxing Lu; Hefei Ling; Sijing Xie; Chengxin Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Watermarking; Information Hiding; Implicit Neural Representations
1530	UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset Authors: Chen Zhao; En Ci; Yunzhe Xu; Tiehan Fan; Shanyan Guan; Yanhao Ge; Jian Yang; Ying Tai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Ultra-High-Resolution Image Synthesis
1531	UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes Authors: Yuang Meng; Xin Jin; Lina Lei; Chun-Le Guo; Chongyi Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: High dynamic range; Low-light image enhancement; Raw denoise
1532	Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design Authors: Lianghong Chen; Dongkyu Eugene Kim; Mike Domaratzki; Pingzhao Hu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D De Novo Molecular Design; Diffusion Model; Multi-Objective Reinforcement Learning; Uncertainty Quantification; Deep Learning
1533	Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding Authors: Jian Hu; Zixu Cheng; Shaogang Gong; Isabel Guan; Jianye HAO; Jun Wang; Kun Shao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Knowledge Transfer; Video Understanding; Temporal Grounding
1534	Under the Shadow: Exploiting Opacity Variation for Fine-grained Shadow Detection Authors: Xiaotian Qiao; Ke Xu; Xianglong Yang; Ruijie Dong; Xiaofang Xia; Jiangtao Cui Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Shadow Detection; Shadow Removal; Scene Understanding
1535	Understanding Bias Terms in Neural Representations Authors: Weixiang Zhang; Boxi Li; Shuzhao Xie; Chengwei Ren; Yuan Xue; Zhi Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Implicit Neural Representation; INR Classification; Neural Field; Coordinate-based Network
1536	Understanding while Exploring: Semantics-driven Active Mapping Authors: Liyan Chen; Huangying Zhan; Hairong Yin; Yi Xu; Philippos Mordohai Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Active Semantic Mapping; Active Mapping; Gaussian Splatting; Exploration
1537	UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens Authors: Ruichuan An; Sihan Yang; Renrui Zhang; Zijun Shen; Ming Lu; Gaole Dai; Hao Liang; Ziyu Guo; Shilin Yan; Yulin Luo; Bocheng Zou; Chaoqun Yang; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Unified Vision-Language Model; Personalization; Understanding and Generation
1538	UniMotion: A Unified Motion Framework for Simulation, Prediction and Planning Authors: Nan Song; Junzhe Jiang; jingyu li; Xiatian Zhu; Li Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: autonomous driving; motion simulation; trajectory prediction; planning
1539	Unified 2D-3D Discrete Priors for Noise-Robust and Calibration-Free Multiview 3D Human Pose Estimation Authors: Geng Chen; Pengfei Ren; Xufeng Jian; Haifeng Sun; Menghao Zhang; Qi Qi; Zirui Zhuang; Jing Wang; Jianxin Liao; Jingyu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3d human pose estimation; pose estimation; VQ-VAE
1540	Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning Authors: Yibin Wang; Zhimin Li; Yuhang Zang; Chunyu Wang; Qinglin Lu; Cheng Jin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: reward model; reinforcement leaning; chain-of-though reasoning
1541	Unified Reinforcement and Imitation Learning for Vision-Language Models Authors: Byung-Kwan Lee; Ryo Hachiuma; Yong Man Ro; Yu-Chiang Frank Wang; Yueh-Hua Wu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision-Language Models
1542	Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting Authors: Nan Wang; Lixing Xiao; Yuantao Chen; Weiqing Xiao; Pierre Merriaux; Lei Lei; Ziyang Yan; Saining Zhang; Shaocong Xu; Chongjie Ye; Bohan Li; Zhaoxi Chen; Tianfan Xue; Hao Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaussian Splatting; Bilateral Processing; Autonomous driving simulation
1543	Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization Authors: Longshen Ou; Jingwei Zhao; Ziyu Wang; Gus Xia; Qihao Liang; Torin Hopkins; Ye Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: music arrangement; symbolic music; conditional music generation; symbolic music tokenization
1544	Universal Video Temporal Grounding with Generative Multi-modal Large Language Models Authors: Zeqian Li; Shangzhe Di; Zhonghua Zhai; Weilin Huang; Yanfeng Wang; Weidi Xie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Temporal Grounding; Long Video Understanding; Multi-modal Large Language Model
1545	Universal Visuo-Tactile Video Understanding for Embodied Interaction Authors: Yifan Xie; Mingyang Li; Shoujie Li; Xingting Li; Guangyu Chen; Fei Ma; Fei Yu; Wenbo Ding Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Embodied Interaction; Tactile Perception; Video Understanding
1546	Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs Authors: Yunqi Hong; Sohyun An; Andrew Bai; Neil Lin; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Fine-grained image classification; unsupervised prompt optimization
1547	Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations Authors: Chaofan Gan; Yuanpeng Tu; Xi Chen; Tieyuan Chen; Yuxi Li; Mehrtash Harandi; Weiyao Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion Transformers; Massive Activations; Representation Learning
1548	Unleashing the Potential of Multimodal LLMs for Zero-Shot Spatio-Temporal Video Grounding Authors: Zaiquan Yang; Yuhao LIU; Gerhard Petrus Hancke; Rynson W. H. Lau Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Spatio-Temporal Video Grounding; Zero-shot Learning
1549	Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator Authors: Jianze Li; Jiezhang Cao; Zichen Zou; Xiongfei Su; Xin Yuan; Yulun Zhang; Yong Guo; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: One-Step Diffusion; Image Super-Resolution; Large-Scale Diffusion Discriminator
1550	Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation Authors: Jinyang Li; Jack Williams; Nick McKenna; Arian Askari; Nicholas Wilson; Reynold Cheng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; Knowledge Distillation; Data Code Generation
1551	Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning Authors: Xingxing Yang; Jie Chen; Zaifeng Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Semi-supervised learning; hyperspectral image reconstruction; diffusion model
1552	UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation Authors: Jiyu Guo; Shuo Yang; Yiming Huang; Yancheng Long; Xiaobo Xia; Xiu Su; Bo Zhao; Zeke Xie; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Data Augmentation; Diffusion Models; Training Data Valuation; Few-Shot Learning
1553	V2V: Scaling Event-Based Vision through Efficient Video-to-Voxel Simulation Authors: Hanyue Lou; Jinxiu Liang; Minggui Teng; Yi Wang; Boxin Shi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: event-based vision
1554	VA-GS: Enhancing the Geometric Representation of Gaussian Splatting via View Alignment Authors: Qing Li; Huifang Feng; Xun Gong; Yu-Shen Liu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gaussian Splatting; Neural Rendering; Surface Reconstruction; Novel View Synthesis
1555	VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree Authors: Wenlong Li; Yifei Xu; Yuan Rao; Zhenhua Wang; Shuiguang Deng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Anomaly Detection; Training-Free; Generic Event Boundary; Granularity-Aware
1556	VASA-3D: Lifelike Audio-Driven Gaussian Head Avatars from a Single Image Authors: Sicheng Xu; Guojun Chen; Jiaolong Yang; Yizhong Zhang; Yu Deng; Stephen Lin; Baining Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3DGS; Avatars; 3D Talking Head; Single-shot
1557	VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning Authors: Run Luo; Renke Shan; Longze Chen; Ziqiang Liu; Lu Wang; Min Yang; Xiaobo Xia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large vision-language models; vision concept modeling; token compression; efficiency
1558	VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold Authors: Dominic Rosario Maggio; Hyungtae Lim; Luca Carlone Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: RGB SLAM; Feed Forward Mapping; Pose Graph Optimization on Manifold
1559	VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model Authors: Zuwei Long; Yunhang Shen; Chaoyou Fu; Heting Gao; lijiang Li; Peixian Chen; Mengdan Zhang; Hang Shao; Jian Li; Jinlong Peng; Haoyu Cao; Ke Li; Rongrong Ji; Xing Sun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Large Speech Language Models
1560	VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Authors: Zhiwei Lin; Yongtao Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: open-world; open-vocabulary; open-ended; object detection
1561	VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models Authors: Xinan He; Yue Zhou; Bing Fan; Bin Li; Guopu Zhu; Feng Ding Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimedia Forensics; AI safety
1562	VLM-R³: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought Authors: Chaoya Jiang; Yongrui Heng; Wei Ye; Haiyang Xu; Ming Yan; Ji Zhang; Fei Huang; Shikun Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Chain-of-Thought; Multimodal Large Language Model; Region Recognition
1563	VORTA: Efficient Video Diffusion via Routing Sparse Attention Authors: Wenhao Sun; Rong-Cheng Tu; Yifu Ding; Jingyi Liao; Zhao Jin; Shunyu Liu; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Generation; Diffusion Models; Vision Transformers; Efficient Models
1564	VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting Authors: Hoonhee Cho; Jae-Young Kang; Giwon Lee; Hyemin Yang; Heejun Park; Seokwoo Jung; Kuk-Jin Yoon Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: End-to-End Autonomous Driving; Autonomous Driving; 3D Reconstruction
1565	VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Authors: Qiuchen Wang; Ruixue Ding; Yu Zeng; Zehui Chen; Lin Chen; Shihang Wang; Pengjun Xie; Fei Huang; Feng Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image Understanding; Retrieval Augmented Generation; Vision-language Models
1566	VT-FSL: Bridging Vision and Text with LLMs for Few-Shot Learning Authors: Wenhao Li; Qiangchang Wang; Xianjing Meng; Zhibin Wu; Yilong Yin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Few-Shot Learning; Multimodal Fusion; LLM
1567	VTON-VLLM: Aligning Virtual Try-On Models with Human Preferences Authors: Siqi Wan; Jingwen Chen; Qi Cai; Yingwei Pan; Ting Yao; Tao Mei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: virtual try-on
1568	VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models Authors: Silin Cheng; Kai Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Prompt Learning; Vision-Language Models; Multi-Modal Representation Learning
1569	Vad-R1: Towards Video Anomaly Reasoning via Perception-to-Cognition Chain-of-Thought Authors: Chao Huang; Benfeng Wang; Wei Wang; Jie Wen; Chengliang Liu; Li Shen; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video anomaly reasoning; chain-of-thought; multimodal large languge model
1570	VaporTok: RL-Driven Adaptive Video Tokenizer with Prior & Task Awareness Authors: Yang Minghao; Zechen Bai; Jing Lin; Haoqian Wang; Alex Jinpeng Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Adaptive video tokenizer; Autoregressive video generation; Probabilistic taildrop; Reinforcement learning
1571	VarFlow: Proper Scoring-Rule Diffusion Distillation via Energy Matching Authors: Huiyang Shao; Xin Xia; Yuxi Ren; XING WANG; Xuefeng Xiao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Diffusion; Scoring Rule; Distillation; VSD
1572	VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Authors: Raghu Vamshi Hemadri; Jitendra Bhandari; Andre Nakkab; Johann Knechtel; Badri P Gopalan; Ramesh Narayanaswamy; Ramesh Karri; Siddharth Garg Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Hardware Design; LLM Embedding; Congestion; Timing
1573	ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Authors: Xiyao Wang; Zhengyuan Yang; Chao Feng; Yuhang Zhou; Xiaoyu Liu; Yongyuan Liang; Ming Li; Ziyi Zang; Linjie Li; Chung-Ching Lin; Kevin Lin; Furong Huang; Lijuan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual reasoning; Vision-Language Model; Visual captioning; Reward Model; Visual Hallucination
1574	ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs Authors: Michal Nazarczuk; Sibi Catley-Chandar; Thomas Tanay; Zhensong Zhang; Gregory Slabaugh; Eduardo Pérez-Pellitero Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: monocular reconstruction; diffusion guidance
1575	Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision Authors: Chenshuang Zhang; Kang Zhang; Joon Son Chung; In So Kweon; Junmo Kim; Chengzhi Mao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Pixel-level object tracking; Generative Models
1576	Video Perception Models for 3D Scene Synthesis Authors: Rui Huang; Guangyao Zhai; Zuria Bauer; Marc Pollefeys; Federico Tombari; Leonidas Guibas; Gao Huang; Francis Engelmann Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D scene synthesis; Video generation model
1577	Video World Models with Long-term Spatial Memory Authors: Tong Wu; Shuai Yang; Ryan Po; Yinghao Xu; Ziwei Liu; Dahua Lin; Gordon Wetzstein Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion model; world model
1578	VideoLucy: Deep Memory Backtracking for Long Video Understanding Authors: Jialong Zuo; Yongtai Deng; Lingdong Kong; Jingkang Yang; Rui Jin; Yiwei Zhang; Nong Sang; Liang Pan; Ziwei Liu; Changxin Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Long Video Understanding; Agent-based System
1579	VideoTitans: Scalable Video Prediction with Integrated Short- and Long-term Memory Authors: Young-Jae Park; Minseok Seo; Hae-Gon Jeon Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Prediction; Memory-based architecture
1580	VideoVLA: Video Generators Can Be Generalizable Robot Manipulators Authors: Yichao Shen; Fangyun Wei; Zhiying Du; Yaobo Liang; Yan Lu; Jiaolong Yang; Nanning Zheng; Baining Guo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Robot manipulation; video generation
1581	ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis Authors: Chuang Wang; Haitao Zhou; Ling Luo; Qian Yu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sketch Generation; 3D Vector Graphic; Diffusion Models
1582	Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning Authors: Wang Lin; Wentao Hu; Liyu Jia; Kaihang Pan; Zhang Majun; Zhou Zhao; Fei Wu; Jingyuan Chen; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Image generation; Image understanding
1583	Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations Authors: Jiaming Han; Hao Chen; Yang Zhao; Hanyu Wang; Qi Zhao; Ziyan Yang; Hao He; Xiangyu Yue; Lu Jiang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Unified MLLM; Image Generation
1584	VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Authors: Senqiao Yang; Junyi Li; Xin Lai; Jinming Wu; Wei Li; Zejun MA; Bei Yu; Hengshuang Zhao; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Vision Language Models; Reinforcement Learning
1585	Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection Authors: Chanhyeong Yang; Taehoon song; Jihwan Park; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Zero-shot HOI detection; Vision Language Model; Prompt Learning
1586	Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting Authors: Anand Bhattad; Konpat Preechakul; Alexei A Efros Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Object Dependencies; Scene Understanding; Counterfactual; Inpainting; Support Relations; Generative Models
1587	Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs Authors: Amirmohammad Izadi; Mohammadali Banayeeanzade; Fatemeh Askari; Ali Rahimiakbar; Mohammad Mahdi Vahedi; Hosein Hasani; Mahdieh Soleymani Baghshah Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Visual Reasoning; Large Vision-Language Models; Cognitive Science; Binding Problem
1588	Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion Authors: Shaowei Liu; David Yifan Yao; Saurabh Gupta; Shenlong Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: camera synchronization; video motion analysis; scene understanding
1589	VisualLens: Personalization through Task-Agnostic Visual History Authors: Wang Bill Zhu; Deqing Fu; Kai Sun; Yi Lu; Zhaojiang Lin; Seungwhan Moon; Kanika Narang; MUSTAFA CANIM; Yue Liu; Anuj Kumar; Xin Luna Dong Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Recommendation; Personalization; LLM; Multimodal LLM
1590	VividFace: A Robost and High-Fidelity Video Face Swapping Framework Authors: Hao Shao; Shulun Wang; Yang Zhou; Guanglu Song; Dailan He; Zhuofan Zong; Shuo Qin; Yu Liu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video generation; face swapping; diffusion
1591	Vocabulary-Guided Gait Recognition Authors: Panjian Huang; Saihui Hou; Chunshui Cao; Xu Liu; Yongzhen Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Gait Recognition; Vocabulary-guided Learning; Vision-Language Models
1592	WEDGE: Synthesizing Performance Constraints for Evaluating and Improving Code Efficiency Authors: Jun Yang; Cheng-Chi Wang; Bogdan Alexandru Stoica; Kexin Pei Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; Test Generation; Code Analysis; Performance Analysis; Code Optimization; Fuzzing
1593	WKV-sharing embraced random shuffle RWKV high-order modeling for pan-sharpening Authors: Man Zhou; Xuanhua He; Danfeng Hong; Bo Huang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Pan-sharpening; Image Fusion
1594	Wan-Move: Motion-controllable Video Generation via Latent Trajectory Guidance Authors: Ruihang Chu; Yefei He; Zhekai Chen; Shiwei Zhang; Xiaogang Xu; Bin Xia; Dingdong WANG; Hongwei Yi; Xihui Liu; Hengshuang Zhao; Yu Liu; Yingya Zhang; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video generation; Motion-controllable video generation; Diffusion models
1595	Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM Authors: Zinuo Li; Xian Zhang; Yongxin Guo; Mohammed Bennamoun; Farid Boussaid; Girish Dwivedi; Luqi Gong; Qiuhong Ke Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Understanding; Video Temporal Understanding
1596	Weak-shot Keypoint Estimation via Keyness and Correspondence Transfer Authors: Junjie Chen; Zeyu Luo; Zezheng Liu; Wenhui Jiang; Li Niu; Yuming Fang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: weak-shot learning; pose estimation; transfer learning; unsupervised learning; few-shot learning
1597	WebDancer: Towards Autonomous Information Seeking Agency Authors: Jialong Wu; Baixuan Li; Runnan Fang; Wenbiao Yin; Liwen Zhang; Zhenglin Wang; Zhengwei Tao; Ding-Chu Zhang; Zekun Xi; Xiangru Tang; Yong Jiang; Pengjun Xie; Fei Huang; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Web agent; Information seeking
1598	WebThinker: Empowering Large Reasoning Models with Deep Research Capability Authors: Xiaoxi Li; Jiajie Jin; Guanting Dong; Hongjin Qian; Yongkang Wu; Ji-Rong Wen; Yutao Zhu; Zhicheng Dou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Retrieval-augmented Generation; Large Reasoning Models; Deep Search; Deep Research
1599	When One Moment Isn't Enough: Multi-Moment Retrieval with Cross-Moment Interactions Authors: Zhuo Cao; Heming Du; Bingqing Zhang; Xin Yu; Xue Li; Sen Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Moment Retrieval; Video Temporal Grounding
1600	When Thinking Drifts: Evidential Grounding for Robust Video Reasoning Authors: Mi Luo; Zihui Xue; Alex Dimakis; Kristen Grauman Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video Understanding; Video Reasoning; MLLM; GRPO; Video QA
1601	Where Does It Exist from the Low-Altitude: Spatial Aerial Video Grounding Authors: Yang Zhan; Yuan Yuan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Aerial Video; Spatial Video Grounding; Multi modality Spatio-temporal Interaction; Hierarchical Progressive Decoder
1602	Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models Authors: Donghoon Ahn; Jiwon Kang; Sanghyun Lee; Minjae Kim; Wooseok Jang; Jaewon Min; Sangwu Lee; Sayak Paul; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: diffusion models; flow matching models; diffusion guidance; generative models
1603	WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild Authors: Morris Alper; David Novotny; Filippos Kokkinos; Hadar Averbuch-Elor; Tom Monnier Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: novel view synthesis; diffusion models; computer vision; computer graphics
1604	Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models Authors: Minghao Yin; Yukang Cao; Kai Han Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D morphing; 3D interpolation; Rectified flow
1605	X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability Authors: Yu Yang; Alan Liang; Jianbiao Mei; Yukai Ma; Yong Liu; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: 3D Scene Generation; Autonomous Driving
1606	Zero-Shot Blind-Spot Image Denoising via Cross-Scale Non-Local Pixel Refilling Authors: Qilong Guo; Tianjing Zhang; Zhiyuan Ma; Hui Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: self-supervision; image denoising; low-level vision
1607	ZeroPatcher: Training-free Sampler for Video Inpainting and Editing Authors: Shaoshu Yang; Yingya Zhang; Ran He Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Video editing; video inpainting; diffusion model
1608	ZeroSep: Separate Anything in Audio with Zero Training Authors: Chao Huang; Yuesheng Ma; Junxuan Huang; Susan Liang; Yunlong Tang; Jing Bi; Wenqiang Liu; Nima Mesgarani; Chenliang Xu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Audio Separation; Zero-shot; Open-set; Training-free
1609	Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Authors: Xudong Li; Mengdan Zhang; Peixian Chen; Xiawu Zheng; Yan Zhang; Jingyuan Zheng; Yunhang Shen; Ke Li; Chaoyou Fu; Xing Sun; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Multi-modal Large Language Models (MLLMs); Direct Preference Optimization; Hallucination Mitigation
1610	iFinder: Structured Zero-Shot Vision-Based LLM Grounding for Dash-Cam Video Reasoning Authors: Manyi Yao; Bingbing Zhuang; Sparsh Garg; Amit Roy-Chowdhury; Christian R. Shelton; Manmohan Chandraker; Abhishek Aich Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: video understanding; driving video analysis
1611	macOSWorld: A Multilingual Interactive Benchmark for GUI Agents Authors: Pei Yang; Hai Ci; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Benchmark; GUI agent; interactive; macOS; multilingual; safety
1612	$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning Authors: Xiaojun Guo; Ang Li; Yifei Wang; Stefanie Jegelka; Yisen Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph; Large Language Models; Reasoning; Reinforcement Learning
1613	3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes Authors: Sean Lamont; Christian Walder; Amir Dezfouli; Paul Montague; Michael Norrish Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: theorem proving; proof search; diversity; representation learning
1614	3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model Authors: Wenbo Hu; Yining Hong; Yanjun Wang; Leison Gao; Zibu Wei; Xingcheng Yao; Nanyun Peng; Yonatan Bitton; Idan Szpektor; Kai-Wei Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal; llm; 3D; embodied; memory; agent
1615	3DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation Authors: Yangshi Ge; Yiwei Bao; Feng Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Gaze Estimation; Cross-Domain Adaptation; 3D Facial Priors
1616	3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding Authors: Xiaohu Huang; Jingjing Wu; Qunyi Xie; Kai Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scene Understanding; Multimodal Large Language Models
1617	4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time Authors: Ziqiao Ma; Xuweiyi Chen; Shoubin Yu; Sai Bi; Kai Zhang; Chen Ziwen; Sihan Xu; Jianing Yang; Zexiang Xu; Kalyan Sunkavalli; Mohit Bansal; Joyce Chai; Hao Tan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reconstruction Models; 4D Reconstruction; Gaussian Splatting
1618	4D-VLA: Spatiotemporal Vision-Language-Action Pretraining with Cross-Scene Calibration Authors: Jiahui Zhang; Yurui Chen; Yueming Xu; Ze Huang; Yanpeng Zhou; Yu-Jie Yuan; Xinyue Cai; Guowei Huang; Xingyue Quan; Hang Xu; Li Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: VLA; LLM
1619	4D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos Authors: Mengqi Guo; Bo Xu; Yan Li; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dynamic Rendering; 4D Representation; Gaussian splatting; Motion-Aware
1620	A Circular Argument: Does RoPE need to be Equivariant for Vision? Authors: Chase van de Geijn; Timo Lüddecke; Polina Turishcheva; Alexander S. Ecker Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Positional Encoding; RoPE; Lie algebras; LieRE; Vision
1621	A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities Authors: Han-Jia Ye; Si-Yang Liu; Wei-Lun Chao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tabular Data; Tabular Foundation model
1622	A Compressive-Expressive Communication Framework for Compositional Representations Authors: Rafael Elberg; Felipe del Rio; Mircea Petrache; Denis Parra Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Iterated learning; Emergent language; Compositionality; Compositional generalization; Compositional Representations
1623	A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors Authors: Sebastian Wagner-Carena; Aizhan Akhmetzhanova; Sydney Erickson Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Source Separation; Score-Based; Linear Mixing Models; Expectation-Maximization; Unsupervised Methods
1624	A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking Authors: Gal Fadlon; Idan Arbiv; Nimrod Berman; Omri Azencot Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Generation; Irregularly-sampled Time Series; Diffusion Models
1625	A Driving-Style-Adaptive Framework for Vehicle Trajectory Prediction Authors: Di Wen; Yu Wang; Zhigang Wu; Zhaocheng He; Zhe Wu; Zheng Qingfang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Trajectory prediction; driver style category; Kolmogorov-Arnold Networks; model explanation; basis function; Weierstrass Approximation Theorem
1626	A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1 Authors: Zhaoyi Li; Xiaohan Zhao; Dong-Dong Wu; Jiacheng Cui; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adversraial Attack; Local-level Matching; Vision-Language Models
1627	A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models Authors: Yassine ABBAHADDOU; Amine M. Aboussalah Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series; Generative models; Mode Collapse
1628	A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models Authors: Joshua Tian Jin Tee; Hee Suk Yoon; Abu Hanif Muhammad Syarubany; Eunseop Yoon; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Human Preference Alignment
1629	A Partition Cover Approach to Tokenization Authors: Jia Peng Lim; Shawn Tan; Davin Choo; Hady W. Lauw Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tokenization; large language models
1630	A Practical Guide for Incorporating Symmetry in Diffusion Policy Authors: Dian Wang; Boce Hu; Shuran Song; Robin Walters; Robert Platt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Robotic Manipulation; Equivariance; Diffusion Model
1631	A Pre-training Framework for Relational Data with Information-theoretic Principles Authors: Quang Truong; Zhikai Chen; Mingxuan Ju; Tong Zhao; Neil Shah; Jiliang Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph learning; tabular learning; relational database
1632	A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers Authors: Zhixiao Wu; Yao Lu; Jie Wen; Hao Sun; Qi Zhou; Guangming Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Backdoor Attack; Sample Selection; Clean-label
1633	A Signed Graph Approach to Understanding and Mitigating Oversmoothing Authors: Jiaqi WANG; Xinyi Wu; James Cheng; Yifei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; oversmoothing; structural balance
1634	A Simple Linear Patch Revives Layer-Pruned Large Language Models Authors: Xinrui Chen; Haoli Bai; Tao Yuan; Ruikang Liu; Kang Zhao; Xianzhi Yu; Lu Hou; Tian Guan; Yonghong He; Chun Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Layer Pruning; Large Language Models; Model Compression
1635	A Stable Whitening Optimizer for Efficient Neural Network Training Authors: Kevin Frans; Sergey Levine; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: optimization; preconditioning; whitening; second-order; shampoo
1636	A TRIANGLE Enables Multimodal Alignment Beyond Cosine Similarity Authors: Giordano Cicchetti; Eleonora Grassucci; Danilo Comminiello Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Contrastive Learning; Multimodal Alignment
1637	A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning Authors: Zhi Zhou; Yuhao Tan; Zenan Li; Yuan Yao; Lan-Zhe Guo; Yu-Feng Li; Xiaoxing Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Self Consistency; LLM Reasoning; Test-Time Scaling; Best-of-N
1638	A geometric framework for momentum-based optimizers for low-rank training Authors: Steffen Schotthöfer; Timon Klein; Jonas Kusch Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-Rank; Compression; Finetuning; Optimization; Manifold
1639	A*-Thought: Efficient Reasoning via Bidirectional Compression for Low-Resource Settings Authors: Xiaoang Xu; Shuo Wang; Xu Han; Zhenghao Liu; Huijia Wu; Pei Pei Li; Zhiyuan Liu; Maosong Sun; Zhaofeng He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long-to-short; thought compression; reasoning; efficient CoT
1640	ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training Authors: Adel Nabli; Louis Fournier; Pierre ERBACHER; Louis Serrano; Eugene Belilovsky; Edouard Oyallon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: distributed training; communication overlapping; sharded optimizers
1641	ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking Authors: Lequan Lin; Dai Shi; Andi Han; Feng Chen; Qiuzheng Chen; Jiawen Li; Zhaoyang Li; Jiyuan Zhang; Zhenbang Sun; Junbin Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: data annotation; data pipeline; multimodal large language models; llm-as-a-judge; supervised learning
1642	ALTo: Adaptive-Length Tokenizer for Autoregressive Mask Generation Authors: Lingfeng Wang; Hualing Lin; Senda Chen; Tao Wang; Changxu Cheng; Yangyang Zhong; Dong Zheng; Wuyue Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal generation; multimodal large language model; adaptive-length
1643	APML: Adaptive Probabilistic Matching Loss for Robust 3D Point Cloud Reconstruction Authors: Sasan Sharifipour; Constantino Alvarez Casado; Mohammad Sabokrou; Miguel Bordallo Lopez Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: point cloud loss; deep learning; one-to-one matching; optimal transport; Sinkhorn algorithm; adaptive temperature; spatio-temporal point cloud; WiFi CSI; point…
1644	AR-RAG: Autoregressive Retrieval Augmentation for Image Generation Authors: Jingyuan Qi; Zhiyang Xu; Qifan Wang; Lifu Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: retrieval augmented image generation; autoregressive image generation; discrete image tokens
1645	Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Authors: Heli Ben-Hamu; Itai Gat; Daniel Severo; Niklas Nolte; Brian Karrer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Language Models; Efficiency; Sampling; Masked Diffusion Models; Discrete Flow Models; Reasoning
1646	Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies Authors: Tianxing Man; Yu Bai; Ganyu Wang; Jinjie Fang; Haoran Fang; Bin Gu; Yi Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vertical Federated Learning; Adversarial Training; Adversarial Sample; Robustness
1647	Accident Anticipation via Temporal Occurrence Prediction Authors: Tianhao Zhao; Yiyang Zou; Zihao Mao; Peilun Xiao; Yulin Huang; Hongda Yang; Yuxuan Li; Qun Li; Guobin Wu; Yutian Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Accident Anticipation
1648	Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Authors: Zijie Geng; Jie Wang; Ziqi Liu; Feng Ju; Yiming Li; Xing Li; Mingxuan Yuan; Jianye HAO; Defu Lian; Enhong Chen; Feng Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; KV Cache Eviction; LLM Inference Acceleration
1649	Accurate and Efficient Low-Rank Model Merging in Core Space Authors: Aniello Panariello; Daniel Marczak; Simone Magistri; Angelo Porrello; Bartłomiej Twardowski; Andrew D. Bagdanov; Simone Calderara; Joost van de Weijer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Core Space; LoRA; Model Merging; Low-Rank; Efficiency
1650	AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning Authors: Yang Chen; Zhuolin Yang; Zihan Liu; Chankyu Lee; Peng Xu; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reasoning; reinforcement learning; code; math
1651	Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts Authors: Haizhong Zheng; Yang Zhou; Brian R. Bartoldson; Bhavya Kailkhura; Fan Lai; Jiawei Zhao; Beidi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; GRPO; Reinforcement Learning
1652	Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models Authors: Xiaoyu Zhan; Wenxuan Huang; Hao Sun; Xinyu Fu; Changfeng Ma; Shaosheng Cao; Bohan Jia; Shaohui Lin; Zhenfei Yin; LEI BAI; Wanli Ouyang; Yuanqi Li; Jie Guo; Yanwen Guo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual-Language Model; 3D Reasoning; GRPO
1653	Activated LoRA: Fine-tuned LLMs for Intrinsics Authors: Kristjan Greenewald; Luis A. Lastras; Thomas Parnell; Vraj Shah; Lucian Popa; Giulio Zizzo; Chulaka Gunasekara; Ambrish Rawat; David Daniel Cox Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: low rank adapters; parameter efficient finetuning; inference-efficient adapter architectures
1654	Activation-Informed Merging of Large Language Models Authors: Amin Heyrani Nobari; Kaveh Alim; Ali ArjomandBigdeli; Akash Srivastava; Faez Ahmed; Navid Azizan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Merging; Activation‑Informed Merging; Large Language Models
1655	AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking Authors: Soyoung Yoon; Gyuwan Kim; GYU-HWUNG CHO; seung-won hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Listwise Reranking; Large Language Models; Adaptive Computation; Uncertainty Estimation; Inference Efficiency
1656	Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference Authors: Yuan Feng; Junlin Lv; Yukun Cao; Xike Xie; S Kevin Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient AI; Large Language Model; LLM Inference; KV Cache
1657	Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization Authors: Haotian Luo; Haiying He; Yibo Wang; Jinluan Yang; Rui Liu; Naiqiang Tan; Xiaochun Cao; Dacheng Tao; Li Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; LLM; Long-CoT; Efficiency; R1
1658	AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees Authors: Hongyi Zhou; Jin Zhu; Pingfan Su; Kai Ye; Ying Yang; Shakeel Gavioli-Akilagun; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; DetectGPT; Statistical guarantees
1659	AdaLRS: Loss-Guided Adaptive Learning Rate Search for Efficient Foundation Model Pretraining Authors: Hongyuan Dong; Dingkang Yang; LiangXiao; ChaoFeng; Ran Jiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Model Pretraining; Hyperparameter Search; Learning Rate Search
1660	AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning Authors: Jingjing Zheng; Wanglong Lu; Yiming Dong; Chaojie Ji; Yankai Cao; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-Tuning; Low-Rank Adaptation; Low-Rank Representation
1661	AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners Authors: Woosung Koh; Wonbeen Oh; Jaein Jang; MinHyung Lee; Hyeongjin Kim; Ah Yeon Kim; Joonkee Kim; Junghyun Lee; Taehyeon Kim; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Models; Reasoning; Data Sampling; Training Efficiency; Self-Taught Reasoner; Post-training
1662	AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding Authors: Zhucun Xue; Jiangning Zhang; Xurong Xie; yuxuan cai; Yong Liu; Xiangtai Li; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Understanding; Multimodal Large Language Models; RAG
1663	Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking Authors: Pengxiang Li; Shilin Yan; Jiayin Cai; Renrui Zhang; Ruichuan An; Ziyu Guo; Xiaowei Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion; absorting kernel; language model
1664	Adaptive Discretization for Consistency Models Authors: Jiayu Bai; Zhanbo Feng; Zhijie Deng; TianQi Hou; Robert C Qiu; Zenan Ling Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Consistency models; One-step generation
1665	Adaptive Inference-Time Scaling via Cyclic Diffusion Search Authors: Gyubin Lee; Bao N Nguyen Truong; Jaesik Yoon; Dongwoo Lee; Minsu Kim; Yoshua Bengio; Sungjin Ahn Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion model; Inference-time scaling
1666	Adaptive Latent-Space Constraints in Personalized Federated Learning Authors: Sana Ayromlou; D. B. Emerson Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Maximum Mean Discrepancy; Data Heterogeneity; Deep Learning; Medical Imaging
1667	Adaptive LoRA Experts Allocation and Selection for Federated Fine-Tuning Authors: Lei Wang; Jieming Bian; Letian Zhang; Jie Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; LLM fine-tuning
1668	Adaptive Quantization in Generative Flow Networks for Probabilistic Sequential Prediction Authors: Nadhir Hassen; Zhen Zhang; Johan W. Verjans Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Flow Networks; Probabilistic Forecasting; Quantization; Time Series; Sequential Prediction; Uncertainty Quantification
1669	Adaptive Re-calibration Learning for Balanced Multimodal Intention Recognition Authors: Qu Yang; Xiyang Li; Fu Lin; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal data; Modality imbalance; modality valuation; Sample Calibration; Encoder Calibration
1670	Adaptive Time Encoding for Irregular Multivariate Time-Series Classification Authors: Sangho Lee; Kyeongseo Min; Youngdoo Son; Hyungrok Do Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Irregular sampling; Time encoding; Attention mechanism; Consistency regularization; Multivariate time-series classification
1671	Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning Authors: Jiawei Huang; Minming Li; Hu Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: representation learning; contrastive learning; optimization
1672	Adjusting Initial Noise to Mitigate Memorization in Text-to-Image Diffusion Models Authors: Hyeonggeun Han; Sehwan Kim; Hyungjun Joo; Sangwoo Hong; Jungwoo Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Memorization
1673	AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees Authors: Yangning Li; Shaoshen Chen; Yinghui Li; Yankai Chen; Hai-Tao Zheng; Hui Wang; Wenhao Jiang; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model; Context Compression
1674	Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation Authors: Yuxin Liu; Zhenghao Peng; Xuanhao Cui; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: autonomous driving; reinforcement learning; robotics
1675	AdvPrefix: An Objective for Nuanced LLM Jailbreaks Authors: Sicheng Zhu; Brandon Amos; Yuandong Tian; Chuan Guo; Ivan Evtimov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; red-teaming; safety; safety alignment; jailbreak; adversarial attack; adversarial robustness; discrete optimization; controllable generation
1676	Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning Authors: Amit Peleg; Naman Deep Singh; Matthias Hein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal learning; Compositionality; CLIP
1677	Adversarial Paraphrasing: A Universal Attack for Humanizing AI-Generated Text Authors: Yize CHENG; Vinu Sankar Sadasivan; Mehrdad Saberi; Shoumik Saha; Soheil Feizi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: AI Text Detection; Adversarial Attacks
1678	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks Authors: Fali Wang; Hui Liu; Zhenwei DAI; Jingying Zeng; Zhiwei Zhang; Zongyu Wu; Chen Luo; Zhen Li; Xianfeng Tang; Qi He; Suhang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; scaling; test-time compute; compute-optimal inference
1679	Agentic RL Scaling Law: Spontaneous Code Execution for Mathematical Problem Solving Authors: Xinji Mai; Haotian Xu; Xing W; Weinong Wang; Yingying Zhang; Wenqiang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Agentic RL; Code Execution; LLMs; Math
1680	Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead Authors: Aiden Chang; Celso M de Melo; Stephanie M. Lukin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Online Highlight Detection; Real-time Video Analysis; Vision Language Models
1681	Alias-Free ViT: Fractional Shift Invariance via Linear Attention Authors: Hagay Michaeli; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Transformers; alias‑free; aliasing; anti‑aliasing; shift invariance; fractional shifts; linear attention; cross‑covariance attention; translation robust…
1682	Align Your Flow: Scaling Continuous-Time Flow Map Distillation Authors: Amirmojtaba Sabour; Sanja Fidler; Karsten Kreis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; diffusion models; consistency models; flow models
1683	AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding Authors: Ahmed Masry; Juan A. Rodriguez; Tianyu Zhang; Suyuchen Wang; Chao Wang; Aarash Feizi; Akshay Kalkunte Suresh; Abhay Puri; Xiangru Jian; Pierre-Andre Noel; Sathwik Tejaswi Madhusud… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision language models; multimodal; large language models
1684	Aligning Text to Image in Diffusion Models is Easier Than You Think Authors: Jaa-Yeon Lee; ByungHee Cha; Jeongsol Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; flow model; contrastive learning; representation alignment; soft token
1685	Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment Authors: Hua Ye; Hang Ding; Siyuan Chen; Yiyang Jiang; Zhang Changyuan; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Alignment; Curriculum Learning; Contrastive Local Attention
1686	Alignment of Large Language Models with Constrained Learning Authors: Botong Zhang; Shuo Li; Ignacio Hounie; Osbert Bastani; Dongsheng Ding; Alejandro Ribeiro Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Alignment; RLHF; Safety; Duality; Optimality gap
1687	All You Need is One: Capsule Prompt Tuning with a Single Vector Authors: Yiyang Liu; James Chenhao Liang; Heng Fan; Wenhao Yang; Yiming Cui; Xiaotian Han; Lifu Huang; Dongfang Liu; Qifan Wang; Cheng Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Prompt Tuning; Large Language Models; Parameter-Efficient Fine-Tuning
1688	Alleviating Hallucinations in Large Language Models through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection Authors: Chenyu Zhu; YEFENG LIU; Hao Zhang; Aowen Wang; Yangxue; Guanhua Chen; Longyue Wang; Weihua Luo; Kaifu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Alleviating Hallucinations; Contrastive Decoding; Large Language Model
1689	AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs Authors: Di He; Songjun Tu; Ajay Jaiswal; Li Shen; Ganzhao Yuan; Shiwei Liu; Lu Yin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Weight decay; Large Language Models; Heavy-Tailed Self-Regularization
1690	AltLoRA: Towards Better Gradient Approximation in Low-Rank Adaptation with Alternating Projections Authors: Xin Yu; Yujia Wang; Jinghui Chen; Lingzhou Xue Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter Efficient Fine-Tuning; Large Language Models; Low-Rank Adaptation
1691	AmorLIP: Efficient Language-Image Pretraining via Amortization Authors: Haotian Sun; Yitong Li; Yuchen Zhuang; Niao He; Hanjun Dai; Bo Dai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Contrastive Learning; Language-Image Pretraining
1692	An Analysis of Concept Bottleneck Models: Measuring, Understanding, and Mitigating the Impact of Noisy Annotations Authors: Seonghwan Park; Jueun Mun; Donghyun Oh; Namhoon Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: concept bottleneck models; label noise
1693	Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models Authors: Jiachen Jiang; Jinxin Zhou; Bo Peng; Xia Ning; Zhihui Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodality Alignment; Token-Level Alignment; Multimodal Large Language Models; Representation Similarity
1694	Analyzing Similarity Metrics for Data Selection for Language Model Pretraining Authors: Dylan Sam; Ayan Chakrabarti; Afshin Rostamizadeh; Srikumar Ramalingam; Gui Citovsky; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: data curation; language models; pretraining
1695	Anchored Diffusion Language Model Authors: Litu Rout; Constantine Caramanis; Sanjay Shakkottai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: discrete diffusion; diffusion language models; large-language models; generative modeling; planning; reasoning; chain-of-thought
1696	AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant Adversarial Patches Authors: Wenjun Ji; Yuxiang Fu; Luyang Ying; Deng-Ping Fan; Yuyi Wang; Ming-Ming Cheng; Ivor Tsang; Qing Guo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Physical attack; Concept learning; View-invariant adversarial patch
1697	Antidistillation Sampling Authors: Yash Savani; Asher Trockman; Zhili Feng; Yixuan Even Xu; Avi Schwarzschild; Alexander Robey; Marc Anton Finzi; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; distillation; security
1698	Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector Authors: Haoyan Yang; Runxue Bao; Cao Xiao; Jun Ma; Parminder Bhatia; Shangqian Gao; Taha Kass-Hout Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Evaluation; Bias Mitigation; Reasoning-based Methods
1699	Approximately Aligned Decoding Authors: Daniel Melcer; Sujan Kumar Gonugondla; Pramuditha Perera; Haifeng Qian; Wen-Hao Chiang; Yanjun Wang; Nihal Jain; Pranav Garg; Xiaofei Ma; Anoop Deoras Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Constrained Decoding; Large Language Models
1700	Approximation theory for 1-Lipschitz ResNets Authors: Davide Murari; Takashi Furuya; Carola-Bibiane Schönlieb Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Lipschitz neural networks; Universal approximation; Residual neural networks; Stone–Weierstrass theorem
1701	Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling Authors: Daksh Mittal; Ang Li; Thomson Yen; C. Daniel Guetta; Hongseok Namkoong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Exchangeability; Inductive Bias; Epistemic uncertainty; Multi-step inference; Transformer architecture
1702	Are Language Models Efficient Reasoners? A Perspective from Logic Programming Authors: Andreas Opedal; Yanick Zengaffinen; Haruki Shirakami; Clemente Pasti; Mrinmaya Sachan; Abulhair Saparov; Ryan Cotterell; Bernhard Schölkopf Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language model; logic programming; proof; arithmetic reasoning; math word problem; search; reasoning; efficiency
1703	Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction? Authors: Tianyu Lin; Xinran Li; Chuntung Zhuang; Qi Chen; Yuanhao Cai; Kai Ding; Alan Yuille; Zongwei Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reconstruction; Diffusion Model
1704	Ask a Strong LLM Judge when Your Reward Model is Uncertain Authors: Zhenghao Xu; Qin Lu; Qingru Zhang; Liang Qiu; Ilgee Hong; Changlong Yu; Wenlin Yao; Yao Liu; Haoming Jiang; Lihong Li; Hyokun Yun; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; RLHF; Reward Models; LLM-as-a-Judge
1705	Association-Focused Path Aggregation for Graph Fraud Detection Authors: Tian Qiu; Wenda Li; Zunlei Feng; Jie Lei; Tao Wang; Yi Gao; Mingli Song; Yang Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph fraud detection; graph anomaly detection; graph neural networks; gnn; path-level; path aggregation; long-range dependency; graph data mining; node classi…
1706	Attack via Overfitting: 10-shot Benign Fine-tuning to Jailbreak LLMs Authors: Zhixin Xie; Xurui Song; Jun Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Security; Jailbreak; Fine-tuning
1707	Attention (as Discrete-Time Markov) Chains Authors: Yotam Erel; Olaf Dünkel; Rishabh Dabral; Vladislav Golyanik; Christian Theobalt; Amit Haim Bermano Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: attention; transformers; Markov chain
1708	Attention Mechanism, Max-Affine Partition, and Universal Approximation Authors: Hude Liu; Jerry Yao-Chieh Hu; Zhao Song; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention; Universal Approximation
1709	Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings Authors: Stephen Zhang; Mustafa Khan; Vardan Papyan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention Sinks; Mechanistic Interpretability; Language Models
1710	Attention on the Sphere Authors: Boris Bonev; Max Rietmann; Andrea Paris; Alberto Carpentieri; Thorsten Kurth Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention; neighborhood attention; transformers; sphere; geometric machine learning; equivariance; scientific machine learning; spherical signal processing; CU…
1711	Attention with Trained Embeddings Provably Selects Important Tokens Authors: Diyuan Wu; Aleksandr Shevchenko; Samet Oymak; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: attention layer; token embedding; gradient flow; max-margin
1712	AttentionPredictor: Temporal Patterns Matter for KV Cache Compression Authors: Qingyue Yang; Jie Wang; Xing Li; Zhihai Wang; Chen Chen; Lei Chen; Xianzhi Yu; Wulong Liu; Jianye HAO; Mingxuan Yuan; Bin Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; KV Cache Compression; Long Context
1713	Attribution-Driven Adaptive Token Pruning for Transformers Authors: Yaoyao Yan; Hui Yu; Weizhi Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Token Pruning; Attribution-Driven; Adaptive Inference; Integrated Gradients.
1714	Audio Super-Resolution with Latent Bridge Models Authors: Chang Li; Zehua Chen; Liyuan Wang; Jun Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: audio super-resolution; latent bridge models; cascaded models; audio generation; audio enhancement
1715	Auditing Meta-Cognitive Hallucinations in Reasoning Large Language Models Authors: Haolang Lu; Yilian Liu; Jingxin Xu; Guoshun Nan; Yuanlong Yu; Zhican Chen; Kun Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: hallucination; Chain-of-Thought; reasoning; Metacognition
1716	AutoData: A Multi-Agent System for Open Web Data Collection Authors: Tianyi Ma; Yiyue Qian; Zheyuan Zhang; Zehong Wang; Xiaoye Qian; Feifan Bai; Yifan Ding; Xuwei Luo; Shinan Zhang; Keerthiram Murugesan; Chuxu Zhang; Yanfang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Agents; LLMs; Web Data Collection
1717	AutoJudge: Judge Decoding Without Manual Annotation Authors: Roman Garipov; Fedor Velikonivtsev; Ivan Ermakov; Ruslan Svirschevski; Vage Egiazarian; Max Ryabinin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Speculative Decoding; Lossy Speculative Decoding; Inference
1718	AutoPartGen: Autoregressive 3D Part Generation and Discovery Authors: Minghao Chen; Jianyuan Wang; Roman Shapovalov; Tom Monnier; Hyunyoung Jung; Dilin Wang; Rakesh Ranjan; Iro Laina; Andrea Vedaldi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D generation
1719	Automated Model Discovery via Multi-modal & Multi-step Pipeline Authors: Lee Jung-Mok; Nam Hyeon-Woo; Moon Ye-Bin; Junhyun Nam; Tae-Hyun Oh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Discovery; Time-Series Data; Vision Language Models; Model Selection; LLM Reasoning
1720	Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Authors: Shanchuan Lin; Ceyuan Yang; Hao He; Jianwen Jiang; Yuxi Ren; Xin Xia; Yang Zhao; Xuefeng Xiao; Lu Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; real-time; interactive; diffusion model; adversarial; gan
1721	BADiff: Bandwidth Adaptive Diffusion Model Authors: Xi Zhang; Hanwei Zhu; Yan Zhong; Jiamang Wang; Weisi Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Bandwidth-aware generation; diffusion models; image compression
1722	BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning Authors: Hongyi Zhou; Weiran Liao; Xi Huang; Yucheng Tang; Fabian Otto; Xiaogang Jia; Xinkai Jiang; Simon Hilber; Ge Li; Qian Wang; Ömer Erdinç Yağmurlu; Nils Blank; Moritz Reuss; Rudolf L… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Action Tokenizer; Imitation Learning; Vision-Language-Action Models
1723	BLEUBERI: BLEU is a surprisingly effective reward for instruction following Authors: Yapei Chang; Yekyung Kim; Michael Krumdick; Amir Zadeh; Chuan Li; Chris Tanner; Mohit Iyyer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: alignment; instruction-following; LLM; RLVR; GRPO
1724	BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification Authors: Xiaobin Liu; Jianing Li; Baiwei Guo; WenbinZhu; Jing Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Memory Bank; Unsupervised Person Re-Identification
1725	BNMusic: Blending Environmental Noises into Personalized Music Authors: Chi Zuo; Martin B. Møller; Pablo Martínez-Nuevo; Huayang Huang; Yu Wu; Ye Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Music generation; Image inpainting
1726	BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning Authors: Xuechen Zhang; Zijian Huang; Yingcong Li; Chenshun Ni; Jiasi Chen; Samet Oymak Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: small language models; reasoning; policy optimization; chain of thought; reinforcement Learning; GRPO
1727	BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization Authors: Xueyang Zhou; Guiyao Tie; Guowen Zhang; Hecheng Wang; Pan Zhou; Lichao Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-Language-Action Model; Backdoor
1728	Balanced Active Inference Authors: Boyu Chen; Zhixiang Zhou; Liuhua Peng; Zhonglei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: asymptotic properties; cube method; label selection; statistical efficiency
1729	Balanced Conic Rectified Flow Authors: Shin seong Kim; Mingi Kwon; Jaeseok Jeong; Youngjung Uh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; Flow model; Optimal transport; Curvature; Ordinary Differential Equation (ODE)
1730	Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization Authors: kaiyuan Li; Xiaoyue Chen; Chen Gao; Yong Li; Xinlei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision Language Models; Efficiency; Token pruning
1731	Behavior Injection: Preparing Language Models for Reinforcement Learning Authors: Zhepeng Cen; Yihang Yao; William Han; Zuxin Liu; Ding Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Model; Data augmantation
1732	Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks Authors: Wentao Deng; Jiahuan Pei; Zhiwei Xu; Zhaochun Ren; Zhumin Chen; Pengjie Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Natural Language Processing; Multi-Agent; Large Language Model; Consensus Seeking
1733	Benford’s Curse: Tracing Digit Bias to Numerical Hallucination in LLMs Authors: Jiandong Shao; Yao Lu; Jianfei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Digit Bias; Benford's Law; Numerical Hallucination; Pretraining Bias; Large Language Models
1734	Better Estimation of the Kullback–Leibler Divergence Between Language Models Authors: Afra Amini; Tim Vieira; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KL divergence; Monte Carlo estimation; RLHF; post training; alignment
1735	Better Language Model Inversion by Compactly Representing Next-Token Distributions Authors: Murtaza Nazir; Matthew Finlayson; John Xavier Morris; Xiang Ren; Swabha Swayamdipta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language model inversion; language model; adversarial attack; prompt injection; jailbreak; inversion; system prompt; softmax bottleneck
1736	Better Training Data Attribution via Better Inverse Hessian-Vector Products Authors: Andrew Wang; Elisa Nguyen; Runshi Yang; Juhan Bae; Sheila A. McIlraith; Roger Baker Grosse Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Influence Functions; Interpretability
1737	Beyond Components: Singular Vector-Based Interpretability of Transformer Circuits Authors: Areeb Ahmad; Abhinav Joshi; Ashutosh Modi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Tranformer Circuits; Mechanistic Interpretability
1738	Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability Authors: Divya Jyoti Bajpai; Manjesh Kumar Hanawal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Early exits; Risk-controlled inference
1739	Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation Authors: Shiwei Li; Xiandi Luo; Haozhao Wang; Xing Tang; Ziqiang Cui; Dugang Liu; Yuhua Li; xiuqiang He; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LoRA; Token-wise Projection
1740	Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Authors: Chen-Hao Chao; Wei-Fang Sun; Hanwen Liang; Chun-Yi Lee; Rahul Krishnan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Masked Diffusion Models; Generative Models
1741	Beyond Oracle: Verifier-Supervision for Instruction Hierarchy in Reasoning and Instruction-Tuned LLMs Authors: Sian-Yao Huang; Li-Hsien Chang; Che-Yu Lin; Cheng-Lin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: instruction hierarchy; verifiable supervision; reasoning LLMs; instruction-tuned LLMs; programmatic verification; oracle-free alignment; safety generalization
1742	Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers Authors: Johanna Vielhaben; Dilyara Bareeva; Jim Berend; Wojciech Samek; Nils Strodthoff Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: representational alignment; interpretability; concept-based explanations
1743	Beyond Scores: Proximal Diffusion Models Authors: Zhenghan Fang; Mateo Diaz Diaz; Sam Buchanan; Jeremias Sulam Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; Diffusion models; Proximal operators; Backward discretization
1744	Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs Authors: Yi Hu; Shijia Kang; Haotong Yang; Haotian Xu; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: length generalization; systematic generalization; algorithmic reasoning; scratchpad; LLM reasoning
1745	Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT Authors: Guy Bar-Shalom; Fabrizio Frasca; Yaniv Galron; Yftah Ziser; Haggai Maron Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hallucination detection; Probing classifiers; LLM analysis
1746	Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Authors: Shenzhi Wang; Le Yu; Chang Gao; Chujie Zheng; Shixuan Liu; Rui Lu; Kai Dang; Xiong-Hui Chen; Jianxin Yang; Zhenru Zhang; Yuqiong Liu; An Yang; Andrew Zhao; Yang Yue; Shiji Song; B… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Reasoning; Reinforcement Learning; Entropy
1747	Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning Authors: Xiaomeng Fan; Yuchuan Mao; Zhi Gao; Yuwei Wu; Jin Chen; Yunde Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Open-Vocabulary Learning; Distribution Estimation; Open Environments; Prompt Learning
1748	Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data Authors: Shuli Zhang; Hao Zhou; Jiaqi Zheng; Guibin Jiang; Cheng Bing; Wei Lin; Guihai Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Causal Inference; Decision-Focused Learning; Marketing Optimization; Observational and Experimental Data
1749	Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents Authors: Han Lin; Jaemin Cho; Amir Zadeh; Chuan Li; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal LLM; Unified Multimodal LLM; Diffusion Models; Autoregressive Priors; Image Generation
1750	Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training Authors: Reza Shirkavand; Peiran Yu; Qi He; Heng Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: arge language model; Multi-Task Learning; Zeroth-order Fine-tuning; Parameter Efficient Fine-tuning
1751	Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression Authors: Kyo Kuroki; Yasuyuki Okoshi; Thiem Van Chu; Kazushi Kawamura; Masato Motomura Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quantization; Compression; Deep Neural Network
1752	Bio-Inspired Image Restoration Authors: Yuning Cui; Wenqi Ren; Alois Knoll Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image restoration; All-in-one image restoration; Composite degradation; Bio-inspired design
1753	Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers Authors: Kazuki Irie; Morris Yau; Samuel J. Gershman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: sequence processing; transformers; linear transformers; fast weight programmers; key-value memory; memory modeling; hybrid transformers
1754	Block-Biased Mamba for Long-Range Sequence Processing Authors: Annan Yu; N. Benjamin Erichson Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sequence Model; State Space Model; Mamba; Long Range Arena
1755	Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation Authors: Dogyun Park; Taehoon Lee; Minseok Joo; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Flow matching; efficient generation
1756	Boosting Adversarial Transferability with Spatial Adversarial Alignment Authors: Zhaoyu Chen; HaiJing Guo; Kaixun Jiang; Jiyuan Fu; Xinyu Zhou; Dingkang Yang; Hao Tang; Bo Li; Wenqiang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: adversarial transferability; model alignment
1757	Boosting Resilience of Large Language Models through Causality-Driven Robust Optimization Authors: Xiaoling Zhou; Mingjie Zhang; Zhemg Lee; YUNCHENG HUA; chengli xing; Wei Ye; Flora D. Salim; Shikun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; Spurious correlations; Hallucination; Knowledge localization; Logistic regression model; Policy optimization
1758	Born a Transformer – Always a Transformer? On the Effect of Pretraining on Architectural Abilities Authors: Mayank Jobanputra; Yana Veitsman; Yash Sarrof; Aleksandra Bakalova; Vera Demberg; Ellie Pavlick; Michael Hahn Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: transformers; length generalization; empirical analysis; explainability
1759	Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected Authors: Yingtao Zhang; Diego Cerretti; Jialin Zhao; Wenjing Wu; Ziheng Liao; Umberto Michieli; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: dynamic sparse training; network science; epitopological Learning; efficient training
1760	Breaking the Compression Ceiling: Data-Free Pipeline for Ultra-Efficient Delta Compression Authors: Xiaohui Wang; Peng Ye; Chenyu Huang; Shenghe Zheng; Bo Zhang; LEI BAI; Wanli Ouyang; Tao Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Delta Compression; Pruning; Quantization
1761	Breaking the Frozen Subspace: Importance Sampling for Low-Rank Optimization in LLM Pretraining Authors: Haochen Zhang; Junze Yin; Guanchu Wang; Zirui Liu; Lin Yang; Tianyi Zhang; Anshumali Shrivastava; Vladimir Braverman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: low-rank optimization; large language models; Adam; memory efficiency
1762	Bridging Expressivity and Scalability with Adaptive Unitary SSMs Authors: Arjun Karuvally; Franz Nowak; T. Anderson Keller; Carmen Amo Alonso; Terrence Sejnowski; Hava T Siegelmann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: State Space Models; Unitary Recurrent Neural Networks; Adaptive Recurrent Neural Network
1763	Bridging Time and Linguistics: LLMs as Time Series Analyzer through Symbolization and Segmentation Authors: Jianyang Qin; Chaoyang Li; Jinhao Cui; Lingzhi Wang; Zhao Liu; Qing Liao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series; Large Language Models; Cross-Modal Alignment
1764	Buffer layers for Test-Time Adaptation Authors: Hyeongyu Kim; GeonHui Han; Dosik Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test-time adaptation; source-free adaptation; buffer layer; layer insertion
1765	BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization Authors: Tonghan Wang; Yanchen Jiang; David C. Parkes Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Combinatorial Auctions; Continuous Flow Matching; Optimization; Dominant-Strategy Incentive Compatible; Revenue-Maximizing
1766	C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning Authors: Antonios Valkanas; Soumyasundar Pal; Pavel Rumiantsev; Yingxue Zhang; Mark Coates Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model; efficiency; inference; cascade
1767	CAMILA: Context-Aware Masking for Image Editing with Language Alignment Authors: Hyunseung Kim; Chiho Choi; Srikanth Malla; Sai Prahladh Padmanabhan; Saurabh Bagchi; Joon Hee Choi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Editing; Multimodal Large Language Model; Context-Aware
1768	CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention Authors: Xiaomeng Hu; Fei Huang; Chenhan Yuan; Junyang Lin; Tsung-Yi Ho Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model; AI Safety; Decoding-time intervention
1769	CAS-Spec: Cascade Adaptive Self-Speculative Decoding for On-the-Fly Lossless Inference Acceleration of LLMs Authors: Zhiyuan Ning; Jiawei Shao; Ruge Xu; Xinfei Guo; Jun Zhang; Chi Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Efficient Inference; Speculative Decoding
1770	CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers Authors: Yoshihiro Yamada Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention Models; Efficient Inference Methods; Computer Vision; Natural Language Processing; Representation Learning
1771	CAT: Content-Adaptive Image Tokenization Authors: Junhong Shen; Kushal Tirumala; Michihiro Yasunaga; Ishan Misra; Luke Zettlemoyer; LILI YU; Chunting Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image tokenization
1772	CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization Authors: Hoyoon Byun; Gyeongdeok Seo; Joonseong Kang; Taero Kim; Jihee Kim; Kyungwoo Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: In-context learning; Causal representation; Out-of-Distribution Generalization
1773	CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise Perturbation Authors: Bowen Song; Zecheng Zhang; Zhaoxu Luo; Jason Hu; Wei Yuan; Jing Jia; Zhengxu Tang; Guanyang Wang; Liyue Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; controllable sampling; noise perturbation
1774	CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices Authors: XUCHEN FENG; Siyu Liao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Normalizing Flows; Fast Fourier Transform (FFT); Matrix Inversion; Jacobian Determinant
1775	CG-SSL: Concept-Guided Self-Supervised Learning Authors: Sara Atito; Josef Kittler; Imran Razzak; Muhammad Awais Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Representation Learning; Curriculum Learning; Self-supervised Learning; Vision Foundation Models; Vision Transformers
1776	CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis Authors: Florian Barthel; Wieland Morgenstern; Paul Hinzer; Anna Hilsmann; Peter Eisert Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D GANs; 3D Gaussian Splatting; CGS-GAN; 3D Consistent GAN Synthesis; Generative Models
1777	CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections Authors: Keuntae Kim; Eunhye Jeong; Sehyeon Lee; Seohee Yoon; Yong Suk Choi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: llm; reasoning; math; creativity; hallucination
1778	CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up Authors: Songhua Liu; Zhenxiong Tan; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Transformer; High-Resolution Image Generation; Efficient Attention
1779	CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning Authors: Jun Wang; Fuyuan CAO; ZhixinXue; Xingwang Zhao; Jiye Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Causal Effect; Modality Valuation
1780	COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation Authors: Uliana Parkina; Maxim Rakhuba Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; model compression; low-rank approximation; matrix decompositions; regularization
1781	COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Authors: Yining Shi; Kun Jiang; Qiang Meng; Ke Wang; Jiabao Wang; Wenchao Sun; Tuopu Wen; mengmeng yang; Diange Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Models; Autonomous Driving; Occupancy Forecasting; Occupancy Generation; ControlNet
1782	CORAL: Disentangling Latent Representations in Long-Tailed Diffusion Authors: Esther Rodriguez; Monica Welfert; Samuel McDowell; Nathan Stromberg; Julian Antolin Camarena; Lalitha Sankar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Latent; Contrastive; Metric Learning; Long-Tailed; Imbalanced; Generative Models; Classifier-Free Guidance
1783	CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs Authors: Gucongcong Fan; Chaoyue Niu; chengfei lv; Fan Wu; Guihai Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mobile Agents; Large Language Models; Collaboration; UI Exposure Reduction
1784	CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models Authors: ZhiHang Lin; Mingbao Lin; Yuan Xie; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reasoning Models; Efficient Training
1785	CSGO: Content-Style Composition in Text-to-Image Generation Authors: Peng Xing; Haofan Wang; Yanpeng Sun; wangqixun; Baixu; Hao Ai; Jen-Yuan Huang; Zechao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: image generation; style transfer
1786	CVGL: Causal Learning and Geometric Topology Authors: Songsong Ouyang; Yingying Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: cross-view; casual learning; BEV
1787	Can DPO Learn Diverse Human Values? A Theoretical Scaling Law Authors: Shawn Im; Sharon Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; preference learning; generalization
1788	Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning Authors: Tianle Zhang; Wanlong Fang; Jonathan Woo; Paridhi Latawa; Deepak A. Subramanian; Alvin Chan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Training-Free Adaptation; Foundation Models; Multi-Modal Large Language Models; In-Context Learning
1789	Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? Authors: Yijie Hu; Zihao Zhou; Kaizhu Huang; Xiaowei Huang; Qiufeng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal reasoning; math reasoning; model merging
1790	Cascaded Language Models for Cost-Effective Human–AI Decision-Making Authors: Claudio Fanconi; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-LLM; Decision Making; Question Answering; Cascaded LLMs
1791	Causal Discovery and Inference through Next-Token Prediction Authors: Eivinas Butkus; Nikolaus Kriegeskorte Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: causal inference; causal discovery; transformers; large language models; language modeling; mechanistic interpretability; structural causal models; neural prob…
1792	Causal Explanation-Guided Learning for Organ Allocation Authors: Alessandro Marchese; Jeroen Berrevoets; Sam Verboven Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Causal Inference; Explanation Supervision; Organ Allocation
1793	Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers Authors: Andrew Joohun Nam; Henry Conklin; Yukang Yang; Thomas L. Griffiths; Jonathan D. Cohen; Sarah-Jane Leslie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; large language models; causality
1794	Causal LLM Routing: End-to-End Regret Minimization from Observational Data Authors: Asterios Tsiourvas; Wei Sun; Georgia Perakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Routing; Causal ML
1795	Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach Authors: Yuting Huang; Ziquan Fang; Zhihao Zeng; Lu Chen; Yunjun Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spatial-temporal prediction; multi-modal data; causal inference
1796	Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning Authors: Xiangning Yu; Zhuohan Wang; Linyi Yang; Haoxuan Li; Anjie Liu; Xiao Xue; Jun Wang; Mengyue Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: PNS; Chain-of-Thought(CoT); Causal Suffciency Necessity
1797	Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention Authors: Zhen Yang; Ziwei Du; Minghan Zhang; Wei Du; Jie Chen; Fulan Qian; Shu Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: TableQA; Causal; Large Language Model; Question Answering
1798	ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning Authors: Chau Pham; Juan C. Caicedo; Bryan A. Plummer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: masked autoencoder; vision transformer; multi-channel imaging; representation learning
1799	Chain-of-Model Learning for Language Model Authors: Xiaohua Wang; Kaitao Song; Xu Tan; Huiqiang Jiang; Chengruidong Zhang; Yongliang Shen; Cen LU; Zihao Li; Zifan Song; Caihua Shan; Yansen Wang; Kan Ren; Xiaoqing Zheng; Tao Qin; Yu… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Model; Next-Gen Language Models; Chain-of-Model; Dynamic Activation; Efficiency
1800	Channel Matters: Estimating Channel Influence for Multivariate Time Series Authors: Muyao Wang; Zeke Xie; Bo Chen; Hongwei Liu; James Kwok Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multivariate time series; channel-wise influence function; Data-centric AI
1801	ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding Authors: Muye Huang; Lingling Zhang; Jie Ma; Han Lai; Fangzhi Xu; Yifei Li; Wenjun Wu; Yaqiang Wu; Jun Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Charts; VLMs; CV
1802	CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs Authors: Roman Vashurin; Maiya Goloburda; Albina Ilina; Aleksandr Rubashevskii; Preslav Nakov; Artem Shelmanov; Maxim Panov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Large Language Model; Uncertainty Quantification; Minimum Bayes Risk
1803	CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization Authors: Yichen Yan; Ming Zhong; Qi Zhu; Xiaoling Gu; Jinpeng Chen; Huan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Visual Instruction Tuning; Data Selection
1804	Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks Authors: Hongyuan Tao; Ying Zhang; Zhenhao Tang; Hongen Peng; Xukun Zhu; Bingchang Liu; Yingguang Yang; Ziyin Zhang; Zhaogui Xu; Haipeng Zhang; Linchao Zhu; Rui Wang; Hang Yu; Jianguo Li;… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Code LLM; Repository-Level; Agentless; Open-source; Multimodal; Graph
1805	CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs Authors: Gunho Park; Jeongin Bae; Byeongwook Kim; Baeseong park; Jiwon Ryu; Hoseung Kim; Se Jung Kwon; Dongsoo Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quantization; Matrix Multiplication; Large Language Models
1806	Cognitive Mirrors: Exploring the Diverse Functional Roles of Attention Heads in LLM Reasoning Authors: Xueqi Ma; Jun Wang; Yanbei Jiang; Sarah Monazam Erfani; Tongliang Liu; James Bailey Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; interpretability; attention heads
1807	Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations Authors: Ansong Ni; Ruta Desai; Yang Li; Xinjie Lei; Dong Wang; Jiemin Zhang; Jane Yu; Ramya Raghavendra; Gargi Ghosh; Shang-Wen Li; Asli Celikyilmaz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: collaborative reasoning; social agents; synthetic data; self-improvement
1808	ComPO: Preference Alignment via Comparison Oracles Authors: Peter Chen; Xi Chen; Wotao Yin; Tianyi Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Preference Alignment; Zeroth-order Optimization; Comparison-based Optimization; Noisy Preference Pairs
1809	Complexity Scaling Laws for Neural Models using Combinatorial Optimization Authors: Lowell Weissman; Michael Krumdick; A. Lynn Abbott Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scaling laws; problem complexity; traveling salesman problem
1810	Composition and Alignment of Diffusion Models using Constrained Learning Authors: Shervin Khalafi; Ignacio Hounie; Dongsheng Ding; Alejandro Ribeiro Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Constrained Optimization; Alignment; Composition; Generative Models
1811	Compositional Discrete Latent Code for High Fidelity, Productive Diffusion Models Authors: Samuel Lavoie; Michael Noukhovitch; Aaron Courville Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative model; diffusion model; representation; discrete
1812	Compress Large Language Models via Collaboration Between Learning and Matrix Approximation Authors: Yuesen Liao; Zhiwei Li; Binrui Wu; Zihao Cheng; Su Zhao; Shuai Chen; WEIZHONG ZHANG Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Compression; Large Language Models
1813	Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers Authors: Woomin Song; Sai Muralidhar Jayanthi; Srikanth Ronanki; Kanthashree Mysore Sathyendra; Jinwoo Shin; Aram Galstyan; Shubham Katiyar; Sravan Babu Bodapati Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Long Context; Inference Efficiency
1814	Computation and Memory-Efficient Model Compression with Gradient Reweighting Authors: Zhiwei Li; Yuesen Liao; Binrui Wu; Yuquan Zhou; Xupeng Shi; Dongsheng Jiang; Yin Li; WEIZHONG ZHANG Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: model compression; deep neural networks; sparse training; deep learning
1815	Computational Budget Should Be Considered in Data Selection Authors: Weilin Wan; WEIZHONG ZHANG; Cheng Jin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Selection; Efficient Learning; Computation Budget; Resource-Constrained Learning
1816	Conditional Diffusion Anomaly Modeling on Graphs Authors: Chunyu Wei; Haozhe Lin; Yueguo Chen; Yunhai Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Anomaly detection; Graph Neural Network
1817	ConfTuner: Training Large Language Models to Express Their Confidence Verbally Authors: Yibo Li; Miao Xiong; Jiaying Wu; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: uncertainty quantification; uncertainty estimation; calibration; failure prediction; large language models
1818	Connecting Neural Models Latent Geometries with Relative Geodesic Representations Authors: Hanlin Yu; Berfin Inal; Georgios Arvanitidis; Søren Hauberg; Francesco Locatello; Marco Fumero Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Relative representations; representation alignment; latent space geometry; geodesics; latent communication
1819	Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations Authors: Yuqian Cheng; Zhuo Chen; Qian Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: consistency; PINN; kernel gradient flow; second-order elliptic equation
1820	Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Authors: Kongcheng Zhang; QI YAO; Shunyu Liu; Yingjie Wang; Baisheng Lai; Jieping Ye; Mingli Song; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-Rewarding; Reinforcement Learning; Large Language Models
1821	Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning Authors: Marwa Abdulhai; Ryan Cheng; Donovan Clay; Tim Althoff; Sergey Levine; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; simulating humans; consistency of LLMs; reinforcement learning
1822	Constrained Diffusers for Safe Planning and Control Authors: Jichen Zhang; Liqun Zhao; Antonis Papachristodoulou; Jack Umenberger Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Constrained Optimization
1823	Constrained Discrete Diffusion Authors: Michael Cardei; Jacob K Christopher; Bhavya Kailkhura; Thomas Hartvigsen; Ferdinando Fioretto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Diffusion; Controllable Generation; Differentiable Optimization
1824	Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Models Authors: Taha Entesari; Arman Hatami; Rinat Khaziev; Anil Ramakrishna; Mahyar Fazlyab Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Large Language Models; Constrained Optimization; Primal‑Dual Algorithms; Entropy‑Based Objectives
1825	Constrained Posterior Sampling: Time Series Generation with Hard Constraints Authors: Sai Shankar Narasimhan; Shubhankar Agarwal; Litu Rout; Sanjay Shakkottai; Sandeep P. Chinchali Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Generation; Posterior Sampling; Diffusion Models; Controlled Generation; Generative Models
1826	Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs Authors: Tengyun Ma; Jiaqi Yao; Daojing He; Shihao Peng; YU LI; Shaohui Liu; Zhuotao Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Large Language Model; Security; Prompt Injection Attack; Instruction Hierarchy
1827	Continuity and Isolation Lead to Doubts or Dilemmas in Large Language Models Authors: Hector Pasten; Felipe Urrutia; Hector Ignacio Jimenez Orellana; Cristian Buc Calderon; Cristobal Rojas; Alexander Kozachinskiy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: transformers; continuity; representational collapse
1828	Continuous Diffusion Model for Language Modeling Authors: Jaehyeong Jo; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion language model; Riemannian diffusion model; diffusion model for discrete data
1829	Continuous Domain Generalization Authors: Zekun Cai; Yiheng YAO; Guangji Bai; Renhe Jiang; Xuan Song; Ryosuke Shibasaki; Liang Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Domain Generalization; Continuous Domain Generalization; Distribution Shift; Neural Operator; Lie Group
1830	Continuous Subspace Optimization for Continual Learning Authors: Quan Cheng; Yuanyu Wan; Lingyu Wu; Chenping Hou; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Subspace Optimization; Continual Learning
1831	Contrastive Representations for Temporal Reasoning Authors: Alicja Ziarko; Michał Bortkiewicz; Michał Zawalski; Benjamin Eysenbach; Piotr Miłoś Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Contrastive Learning; Representation Learning; Combinatorial Reasoning
1832	Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models Authors: Yang Zitao; Amin Ullah; Shuai Li; Li Fuxin; Jun Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mirror Langevin dynamics; efficient sampling; energy based models
1833	Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification Authors: Simone Azeglio; Olivier Marre; Peter Neri; Ulisse Ferrari Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Higher-order convolution; Biologically inspired neural networks; Image classification; Convolutional Neural Networks; Biological visual processing; Neural repr…
1834	Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework Authors: Mustafa Hajij; Lennart Bastian; Sarah Osentoski; Hardik Kabaria; John L. Davenport; Sheik Dawood; Balaji Cherukuri; Joseph G. Kocheemoolayil; Nastaran Shahmansouri; Adrian Lew; Th… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: topological deep learning; graph networks; sheaf; transformers
1835	Corrector Sampling in Language Models Authors: Itai Gat; Neta Shaul; Uriel Singer; Yaron Lipman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language modeling; Sampling
1836	Correlated Low-Rank Adaptation for ConvNets Authors: Wu Ran; Weijia Zhang; ShuYang Pang; Qi Zhu; Jinfan Liu; JingSheng Liu; Xin Cao; Qiang Li; Yichao Yan; Chao Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-rank adaptation; convnets; correlated weight update
1837	Correlation Dimension of Autoregressive Large Language Models Authors: Xin Du; Kumiko Tanaka-Ishii Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: correlation dimension; fractal dimension; large language models; self-similarity; complexity; degeneration; hallucination; LLM evaluation
1838	Cosmos: Compressed and Smooth Latent Space for Text Diffusion Modeling Authors: Viacheslav Meshchaninov; Egor Chimbulatov; Alexander Shabalin; Aleksandr Abramov; Dmitry Vetrov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: latent diffusion; text generation; language models; autoencoders
1839	Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning Authors: Dong Bok Lee; Aoxuan Silvia Zhang; Byungjoo Kim; Junhyeon Park; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Hae Beom Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Cost-Sensitive; Bayesian Optimization; Multi-Fidelity HPO; PFNs; Transfer Learning
1840	Counterfactual Evolution of Multimodal Datasets via Visual Programming Authors: Minghe Gao; Zhongqi Yue; Wenjie Yan; Yihao Hu; Wei Ji; Siliang Tang; Jun Xiao; Tat-Seng Chua; Yueting Zhuang; Juncheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dataset Evolution; Visual Programming; Counterfactual Evolution; Multimodal Datasets
1841	Counterfactual Identifiability via Dynamic Optimal Transport Authors: Fabio De Sousa Ribeiro; Ainkaran Santhirasekaram; Ben Glocker Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; causality; counterfactual inference; optimal transport; continuous normalizing flows; flow matching
1842	Counterfactual Reasoning for Steerable Pluralistic Value Alignment of Large Language Models Authors: Hanze Guo; Jing Yao; Xiao Zhou; Xiaoyuan Yi; Xing Xie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Pluralistic Alignment; Value Alignment
1843	Coupled Data and Measurement Space Dynamics for Enhanced Diffusion Posterior Sampling Authors: Shayan Mohajer Hamidi; Ben Liang; EN-HUI YANG Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Inverse Problems; Posterior Sampling
1844	CovMatch: Cross-Covariance Guided Multimodal Dataset Distillation with Trainable Text Encoder Authors: Yongmin Lee; Hye Won Chung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dataset distillation; Dataset condensation; Multimodal dataset; Image-text contrastive learning
1845	Covariances for Free: Exploiting Mean Distributions for Training-free Federated Learning Authors: Dipam Goswami; Simone Magistri; Kai Wang; Bartłomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated learning; Transfer Learning
1846	Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Authors: Simeng Han; Howard Dai; Stephen Xia; Grant Zhang; Chen Liu; Lichang Chen; Hoang H Nguyen; Hongyuan Mei; Jiayuan Mao; R. Thomas McCoy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Brainteaser; Reasoning LLMs
1847	Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Authors: Wenzhuo Tang; Haitao Mao; Danial Dervovic; Ivan Brugere; Saumitra Mishra; Yuying Xie; Jiliang Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Foundation Model; Graph Data Augmentation; Diffusion Models
1848	Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models Authors: Sai Niranjan Ramachandran; Manish Krishan Lal; Suvrit Sra Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Fluctuation theory; Phase Transitions; Sampling; Markov Chains; Interpretability.
1849	CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling Authors: Beibu Li; Qichao Shentu; Yang Shu; Hui Zhang; Ming Li; Ning Jin; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series; anomaly detection
1850	CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning Authors: Yifei Zhang; Hao Zhu; Junhao Dong; Haoran Shi; Ziqiao Meng; Piotr Koniusz; Han Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning (PEFT)
1851	Curvature Tuning: Provable Training-free Model Steering From a Single Parameter Authors: Leyang Hu; Matteo Gamba; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: pretrained models; transfer learning; fine-tuning; decision boundary; robustness; generalization
1852	CyIN: Cyclic Informative Latent Space for Bridging Complete and Incomplete Multimodal Learning Authors: Ronghao Lin; Qiaolin He; Sijie Mai; Ying Zeng; Aolin Xiong; Li Huang; Yap-Peng Tan; Haifeng Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal representation learning; Incomplete multimodal learning; Missing modality issue; Information bottleneck; Cross-modal transaltion
1853	CymbaDiff: Structured Spatial Diffusion for Sketch-based 3D Semantic Urban Scene Generation Authors: Li Liang; Bo Miao; Xinyu Wang; NAVEED AKHTAR; Jordan Vice; Ajmal Saeed Mian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D semantic scene generation; 3D semantic scene completion
1854	DAMamba: Vision State Space Model with Dynamic Adaptive Scan Authors: Tanzhe Li; Caoshuo Li; Jiayi Lyu; Hongjuan Pei; Baochang Zhang; Taisong Jin; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: State Space Model; Image classification; Object detection; Image segmentation
1855	DAPO: An Open-Source LLM Reinforcement Learning System at Scale Authors: Qiying Yu; Zheng Zhang; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; YuYue; Weinan Dai; Tiantian Fan; Gaohong Liu; Juncai Liu; LingJun Liu; Xin Liu; Haibin Lin; Zhiqi Lin; Bole Ma; Guan… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Reasoning; RL
1856	DBLoss: Decomposition-based Loss Function for Time Series Forecasting Authors: Xiangfei Qiu; Xingjian Wu; Hanyin Cheng; Xvyuan Liu; Chenjuan Guo; Jilin Hu; Bin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Loss Function
1857	DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models Authors: Komal Kumar; Rao Muhammad Anwer; Fahad Shahbaz Khan; Salman Khan; Ivan Laptev; Hisham Cholakkal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Fine-Tuning; LoRA; Unified Models; Personalization; Model Adaptation; Parameter-Efficient Training; Text-to-Image Models
1858	DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos Authors: Chieh Hubert Lin; Zhaoyang Lv; Songyin Wu; Zhen Xu; Thu Nguyen-Phuoc; Hung-Yu Tseng; Julian Straub; Numair Khan; Lei Xiao; Ming-Hsuan Yang; Yuheng Ren; Richard Newcombe; Zhao Dong… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large reconstruction model; LRM; dynamic
1859	DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration Authors: Hebaixu Wang; Jing Zhang; Haonan Guo; Di Wang; Jiayi Ma; Bo Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image restoration; diffusion generalist solver; universal posterior sampling; deep learning
1860	DINGO: Constrained Inference for Diffusion LLMs Authors: Tarun Suresh; Debangshu Banerjee; Shubham Ugare; Sasa Misailovic; Gagandeep Singh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Constrained Decoding; Diffusion LLM
1861	DINO-Foresight: Looking into the Future with DINO Authors: Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Future Feature Prediction; Foundation Models; Masked Feature Transformers; Self-supervised learning; Multi-task Learning
1862	DISC: Dynamic Decomposition Improves LLM Inference Scaling Authors: Jonathan Light; Wei Cheng; Benjamin Riviere; Yue Wu; Masafumi Oyamada; Mengdi Wang; Yisong Yue; Santiago Paternain; Haifeng Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inference scaling; search; decomposition; LLM
1863	DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models Authors: Longquan Dai; Wu Ming; Dejiao Xue; He Wang; Jinhui Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Conditional Control
1864	DISCO: Disentangled Communication Steering for Large Language Models Authors: Max Torop; Aria Masoomi; Masih Eskandar; Jennifer Dy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Steering Vectors; Representation Engineering; LLMs
1865	DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning Authors: Sitong Wu; Haoru Tan; Jingyao Li; Shaofeng Zhang; XIAOJUAN QI; Bei Yu; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; LLM
1866	DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment Authors: Sangwoo Kwon; Seong Hoon Seo; Jae W. Lee; Yeonhong Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Quantization; LLM Inference; Efficiency; ML System
1867	DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization Authors: Yunseon Choi; Minchan Jeong; Soobin Um; Kee-Eung Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Adversarial Imitation Learning
1868	DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding Authors: Yunhai Hu; Tianhua Xia; Zining Liu; Rahul Raman; Xingyu Liu; BO BAO; Eric Sather; Vithursan Thangarasa; Sai Qian Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Speculative Decoding; Vision language model
1869	DSAS: A Universal Plug-and-Play Framework for Attention Optimization in Multi-Document Question Answering Authors: Jiakai Li; Rongzheng Wang; Yizhuo Ma; Shuang Liang; Guangchun Luo; Ke Qin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model; attention dilution; attention optimization
1870	DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization Authors: Yuantian Shao; Yuanteng Chen; Peisong Wang; Jianlin Yu; Jing Lin; Yiwu Yao; Zhihui Wei; Jian Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Quantization; Rotation; Efficient inference
1871	Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning Authors: Xiao Han; ZIMO ZHAO; Wanyu Wang; Maolin Wang; Zitao Liu; Yi Chang; Xiangyu Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual Learning; Parameter-Efficient Fine-Tuning; Large Language Model; Low-Rank Adaptation; Lifelong Learning
1872	Data Mixture Optimization: A Multi-fidelity Multi-scale Bayesian Framework Authors: Thomson Yen; Andrew Wei Tung Siah; Haozhe Chen; C. Daniel Guetta; Tianyi Peng; Hongseok Namkoong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; Bayesian optimization; multi-fidelity optimization; data mixture; transfer learning; adaptive experimentation; model scaling; hyperparameter o…
1873	DataRater: Meta-Learned Dataset Curation Authors: Dan A. Calian; Gregory Farquhar; Iurii Kemaev; Luisa Zintgraf; Matteo Hessel; Jeremy Shar; Junhyuk Oh; András György; Tom Schaul; Jeff Dean; Hado van Hasselt; David Silver Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: meta-learning; dataset curation; data rating; bilevel optimization
1874	Dataset Distillation for Pre-Trained Self-Supervised Vision Models Authors: George Cazenavette; Antonio Torralba; Vincent Sitzmann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: dataset distillation; self-supervised learning; few-shot learning
1875	Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality Authors: Alex Fang; Hadi Pouransari; Matt Jordan; Alexander T Toshev; Vaishaal Shankar; Ludwig Schmidt; Tom Gunter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: datasets; llm; repetition; deduplication; scaling; pre-training; language models; data filtering
1876	DePass: Unified Feature Attributing by Simple Decomposed Forward Pass Authors: Xiangyu Hong; Che Jiang; Kai Tian; Biqing Qi; Youbang Sun; Ning Ding; Bowen Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attribution; Mechanistic Interpretability; Generative Models; Large Language Models
1877	Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning Authors: Danni Yang; Zhikang Chen; Sen Cui; Mengyue Yang; Ding Li; Abudukelimu Wuerkaixi; Haoxuan Li; Jinke Ren; Mingming Gong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated continual learning; decentralized dynamic cooperation; coalitional affinity game
1878	Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long Generation Authors: Liliang Ren; Congcong Chen; Haoran Xu; Young Jin Kim; Adam Atkinson; Zheng Zhan; Jiankai Sun; Baolin Peng; Liyuan Liu; Shuohang Wang; Hao Cheng; Jianfeng Gao; Weizhu Chen; yelong… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hybrid Neural Architectures; Long Sequence Models; State Space Models; Linear Recurrent Neural Networks
1879	Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language Models Authors: Wei Chen; Xin Yan; Bin Wen; Fan Yang; Tingting Gao; Di ZHANG; Long Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal Large Language Model; RLHF; Direct Preference Optimization; Contrastive Decoding
1880	Deep Edge Filter: Return of the Human-Crafted Layer in Deep Learning Authors: Dongkwan Lee; Junhoo Lee; Nojun Kwak Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: edge filter; deep feature; frequency
1881	Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting Authors: Yu Chen; Rolandos Alexandros Potamias; Evangelos Ververas; Jifei Song; Jiankang Deng; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Gaussian Splatting; Novel View Synthesis
1882	Deep Tree Tensor Networks Authors: Chang Nie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tree Tensor Networks; Multilinear Networks; Image Recognition
1883	DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Authors: Haiduo Huang; Jiangcheng Song; Yadong Zhang; Pengju Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Gradient Momentum Decoupling; Dynamic Top-K Mask; Signal-to-Noise Ratio
1884	DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO Authors: Jinyoung Park; Jeehye Na; Jinyoung Kim; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Large Language Model; Post-training; GRPO
1885	Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models Authors: Li Sun; Zhenhao Huang; Ming Zhang; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MPNN; Oversmoothing; Oversquashing; Riemannian geometry; Graph Foundation Models
1886	Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Authors: Zhifang Zhang; Shuo He; Haobo Wang; Bingquan Shen; Lei Feng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: backdoor attack; multimodal model; visual prompt tuning
1887	Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs Authors: Yaming Yang; Ziyu Zheng; Weigang Lu; Zhe Wang; Xinyan Huang; Wei Zhao; Ziyu Guan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Hypergraph Neural Networks; Hypergraph Representation Learning
1888	Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration Authors: Jingjun Yi; Qi Bi; Hao Zheng; Huimin Huang; Yixian Shen; Haolan Zhan; Wei Ji; Yawen Huang; Yuexiang Li; Xian Wu; Yefeng Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unpaired Image Restoration; Schrödinger Bridge; Optimal Transport
1889	Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs Authors: Jie Ma; Ning Qu; Zhitao Gao; Xing Rui; Jun Liu; Hongbin Pei; Jiang Xie; Lingyun Song; Pinghui Wang; Jing Tao; su zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Graph-based Retrieval Augmentation; Knowledge Graph Question Answering; Large Language Models
1890	Delta Attention: Fast and Accurate Sparse Attention Inference by Delta Correction Authors: Jeffrey Willette; Heejun Lee; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: sparse attention; transformer; LLM; efficiency
1891	DeltaFormer: Unlock the state space of Transformer Authors: Mingyu Xu; Tenglong Ao; Jiaao He; Jianqiao Lu; Guang Shi; Shu Zhong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer; Circuit Complexity; Model Architecture
1892	DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products Authors: Julien Siems; Timur Carstensen; Arber Zela; Frank Hutter; Massimiliano Pontil; Riccardo Grazzi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: linear rnn; linear attention; state-space models; state-tracking; negative eigenvalues; householder; formal languages; regular languages; stability; finite-sta…
1893	Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy Authors: Qing Zhao; Weijian Deng; Pengxu Wei; ZiYi Dong; Hannan Lu; Xiangyang Ji; Liang Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Object Detection under Adverse Conditions; Image Restoration; Lipschitz Continuity
1894	Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO Authors: Chengzhuo Tong; Ziyu Guo; Renrui Zhang; Wenyu Shan; Xinyu Wei; Zhenghao Xing; Hongsheng Li; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Multi-modal Models; Image Generation; Reinforcement Learning; Chain-of-Thought (CoT) Reasoning
1895	Demystifying Language Model Forgetting with Low-rank Example Associations Authors: Xisen Jin; Xiang Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: catastrophic forgetting; continual learning; large language model
1896	Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning Authors: Chen Qian; Dongrui Liu; Haochen Wen; Zhen Bai; Yong Liu; Jing Shao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Reasoning; Information Theory
1897	DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration Authors: Tianteng Gu; Bei Liu; Bo Xiao; Ke Zeng; Jiacheng Liu; Yanmin Qian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Model compression; Pruning
1898	Dense Backpropagation Improves Training for Sparse Mixture-of-Experts Authors: Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Sambit Sahu; Tom Goldstein; Supriyo Chakraborty Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: moe; mixture of experts; router
1899	Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding Authors: Xiangyu Wen; Min Li; Junhua Huang; Jianyuan Zhong; Zhijian Xu; Zeju Li; Yongxiang Huang; Mingxuan Yuan; Qiang Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Reasoning; Question Answering; Knowledge-enhanced Reasoning; Dependency-aware Reasoning
1900	DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning Authors: Sikai Bai; Haoxi Li; Jie ZHANG; Zicong Hong; Song Guo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Expert Pruning; Differentiable Optimization; Language Model; Mixture-of-Experts
1901	DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy Authors: Rui Zhao; Yuze Fan; Ziguo Chen; Fei Gao; Zhenhai Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autonomous driving; diffusion model; end-to-end; transformer
1902	DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images Authors: Ozgur Kara; Harris Nisar; James Matthew Rehg Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Eye Tracking; Scanpath Prediction; Saliency Prediction
1903	Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Authors: Ming Wen; Jiaqi Zhu; Yuedong Xu; Yipeng Zhou; DINGDING HAN Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Low-Rank Adaptation; Differential Privacy
1904	Diffusion Adaptive Text Embedding for Text-to-Image Diffusion Models Authors: Byeonghu Na; Minsang Park; Gyuwon Sim; Donghyeok Shin; HeeSun Bae; Mina Kang; Se Jung Kwon; Wanmo Kang; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; text-to-image diffusion models; text-to-image generation
1905	Diffusion Beats Autoregressive in Data-Constrained Settings Authors: Mihir Prabhudesai; Mengning Wu; Amir Zadeh; Katerina Fragkiadaki; Deepak Pathak Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion; autoregressive; data-constrainted; generative modelling; discrete diffusion; diffusion llms
1906	Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive Authors: Tyler Farghly; Peter Potaptchik; Samuel Howard; George Deligiannidis; Jakiw Pidstrigach Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; generalization; manifold hypothesis; memorization
1907	Diffusion Transformers as Open-World Spatiotemporal Foundation Models Authors: Yuan Yuan; Chonghua Han; Jingtao Ding; Guozhen Zhang; Depeng Jin; Yong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation model; Spatiotemporal learning; Open-world
1908	Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification Authors: Zeqi Ye; Minshuo Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Imputation; Uncertainty Quantification; Statistical Sample Complexity; Diffusion Transformer
1909	Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models Authors: Vineet Jain; Kusha Sareen; Mohammad Pedramfar; Siamak Ravanbakhsh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; inference-time alignment; Monte Carlo Tree Search; test-time sampling and search; generative models
1910	Diffusion on Demand: Selective Caching and Modulation for Efficient Generation Authors: Hee Min Choi; Hyoa Kang; Dokwan Oh; Nam Ik Cho Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; diffusion; inference acceleration
1911	Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL Authors: Ruitao Wu; Yifan Zhao; Guangyao Chen; Jia Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Few-Shot Class-Incremental Learning; Diffusion Model; Reward Alignment
1912	Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation Authors: Yuyang Huang; Yabo Chen; Junyu Zhou; Wenrui Dai; XIAOPENG ZHANG; Junni Zou; Hongkai Xiong; Qi Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Source-free Domain Adaptation; Diffusion Models; Controllable Generation
1913	Dimensional Collapse in VQVAEs: Evidence and Remedies Authors: Jiayou Zhang; Yifan Shen; Guangyi Chen; Le Song; Eric P. Xing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vector quantization; representation collapse
1914	Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention Authors: Shuang Wu; Youtian Lin; Feihu Zhang; Yifei Zeng; Yikang Yang; yajie bao; Jiachen Qian; Siyu Zhu; Xun Cao; Philip Torr; Yao Yao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: AIGC; 3D Generation; Diffusion
1915	DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Authors: Gang Li; Ming Lin; Tomer Galanti; Zhengzhong Tu; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Large Reasoning Models; Discriminative Learning
1916	Discovering Data Structures: Nearest Neighbor Search and Beyond Authors: Omar Salemohamed; Laurent Charlin; Shivam Garg; Vatsal Sharan; Gregory Valiant Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: data structures; algorithm discovery; learning-augmented algorithms
1917	Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective Authors: Weizhong Huang; Yuxin Zhang; Xiawu Zheng; Fei Chao; Rongrong Ji; Liujuan Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mixture-of-Experts Models; Network Pruning
1918	Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation Authors: Bailey Trang; Parham Saremi; Alan Q. Wang; Fangrui Huang; Zahra TehraniNasab; Amar Kumar; Tal Arbel; Li Fei-Fei; Ehsan Adeli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; diffusion model; diversity; gflownet.
1919	Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision Authors: Lu Gao; Wenlan Chen; Daoyuan Wang; Fei Guo; Cheng Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Variational Autoencoder; Disentangled Representation Learning; Mutual Supervision
1920	Disentangling Hyperedges through the Lens of Category Theory Authors: Yoonho Lee; Junseok Lee; Sangwoo Seo; Sungwon Kim; Yeongmin Kim; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Category Theory; Disentangled Representation Learning; Categorical Deep Learning; Hypergraph
1921	Disentangling Latent Shifts of In-Context Learning with Weak Supervision Authors: Josip Jukić; Jan Šnajder Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: in-context learning; weak supervision; pseudo-labeling; latent shift; adapters
1922	Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation Authors: Enshu Liu; Qian Chen; Xuefei Ning; Shengen Yan; Guohao Dai; Zinan Lin; Yu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image auto-regressive model; One-step generation; Score distillation
1923	Distribution-Aligned Decoding for Efficient LLM Task Adaptation Authors: Senkang Hu; Xudong Han; Jinqi Jiang; Yihang Tao; Zihan Fang; Yong Dai; Sam Kwong; Yuguang Fang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; task adaptation; parameter-effcient fine-tuning; LLM decoding
1924	Distributional Autoencoders Know the Score Authors: Andrej Leban Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Models; Unsupervised Learning Methods; Autoencoders; Nonlinear Dimensionality Reduction and Manifold Learning; Score Matching / Score-based Models;…
1925	Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values Authors: Hadi Hosseini; Samarth Khanna Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Distributive fairness; Equitability; Generative AI; Alignment; Human Values
1926	DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection Authors: Chiara Cappellino; Gianluca Mancusi; Matteo Mosconi; Angelo Porrello; Simone Calderara; Rita Cucchiara Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Open-Vocabulary Object Detection; Modular Deep Learning; Incremental Learning
1927	Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum Authors: Wenquan Lu; Jiaqi Zhang; Hugues Van Assel; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-Supervised Learning; Curriculum Learning; Noise; Robustness; Representation Learning
1928	Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Authors: Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Qianli Shen; Yaliang Li; Ying Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Fine-Tuning; Data Selection; Large Language Models; Diversity
1929	Do Language Models Use Their Depth Efficiently? Authors: Róbert Csordás; Christopher D Manning; Christopher Potts Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: transformer; llm; large language model; residual stream; depth; casual interventions; compositionality
1930	Do different prompting methods yield a common task representation in language models? Authors: Guy Davidson; Todd M. Gureckis; Brenden Lake; Adina Williams Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: task representations; function vectors; in-context learning; instructions; mechanistic interpretability
1931	Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models Authors: Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Yifu Lu; Mengdi Wang; Dinesh Manocha; Furong Huang; Mohammad Ghavamzadeh; Amrit Singh Bedi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reasoning Models; Test-time Scaling
1932	Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation Authors: Jingyao Li; Zhanshan Li; Shuai Lü Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Domain Adaptive Hashing; Image Retrieval; Pseudo-Labeling Strategy; Unsupervised Domain Adaptation
1933	Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot Demonstrations Authors: zican Dong; Han Peng; Peiyu Liu; Xin Zhao; Dong Wu; Feng Xiao; Zhifeng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mixture-of-Experts; Expert Pruning
1934	Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention Authors: Xin Zou; Di Lu; Yizhou Wang; Yibo Yan; Yuanhuiyi Lyu; Xu Zheng; Linfeng Zhang; Xuming Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Token Pruning; MLLMs; Holistic Compression
1935	Don't be lazy: CompleteP enables compute-efficient deep transformers Authors: Nolan Simran Dey; Bin Claire Zhang; Lorenzo Noci; Mufan Li; Blake Bordelon; Shane Bergsma; Cengiz Pehlevan; Boris Hanin; Joel Hestness Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep learning; depth; transformer; LLM; compute-efficiency; parameterization; stability; hyperparameter transfer
1936	Don’t Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models Authors: Zitong Shi; Guancheng Wan; Haixin Wang; Ruoyan Li; Zijie Huang; Wanjia Zhao; Yijia Xiao; Xiao Luo; Carl Yang; Yizhou Sun; Wei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Instruction Hierarchy; Large Language Models
1937	Don’t Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Authors: Sohyun An; Ruochen Wang; Tianyi Zhou; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Large Language Models; Efficiency
1938	Doodle to Detect: A Goofy but Powerful Approach to Skeleton-based Hand Gesture Recognition Authors: Sang Hoon Han; Seonho Lee; Hyeok Nam; Jae Hyeon Park; Min Hee Cha; Min Geol Kim; Hyunse Lee; Sangyeon Ahn; Chae moon ju; Sung In Cho Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hand Gesture Recognition; Skeleton based Action Recognition; Online Recognition; Modality Transform; Vision Transformer
1939	DreamPRM: Domain-reweighted Process Reward Model for Multimodal Reasoning Authors: Qi Cao; Ruiyi Wang; Ruiyi Zhang; Sai Ashish Somayajula; Pengtao Xie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Multimodal Reasoning; Domain-reweighting; Process Reward Model; Bi-level Optimization
1940	DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving Authors: Hao LU; Tianshuo Xu; Wenzhao Zheng; Yunpeng Zhang; Wei Zhan; Dalong Du; Masayoshi Tomizuka; Kurt Keutzer; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autonomous Driving; 4D Gaussian Reconstruction
1941	DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference Authors: Chong Wu; Jiawang Cao; Renjie Xu; Zhuoheng Ran; Maolin Che; Wenbo Zhu; Hong Yan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Attention Mechanism; Sparse Attention Mechanism; Transformer
1942	Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via $\textit{In-the-wild}$ Cascading Flow Optimization Authors: Yixiao Chen; Shikun Sun; Jianshu Li; Ruoyu Li; Zhe Li; Junliang Xing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: adversarial attacks; diffusion models
1943	Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning Authors: Ankan Deria; Adinath Madhavrao Dukre; Feilong Tang; Sara Atito; Sudipta Roy; Muhammad Awais; Muhammad Haris Khan; Imran Razzak Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inference time search; Value-Guided Decoding; Margin-Based Reward; Hallucination Mitigation; Self-Training
1944	DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints Authors: Sungmin Woo; Sangyoun Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: depth from focus; variational constraints; depth estimation
1945	DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs Authors: Ruokai Yin; Yuhang Li; Donghyun Lee; Priyadarshini Panda Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Weight Pruning; Dual-sparsity; Activation Sparsity; Efficient Large Language Models; Post-training Calibration; Model Compression
1946	DyFlow: Dynamic Workflow Framework for Agentic Reasoning Authors: Yanbo Wang; Zixiang Xu; Yue Huang; Xiangqi Wang; Zirui Song; Lang Gao; Chenxi Wang; Xiangru Tang; Yue Zhao; Arman Cohan; Xiangliang Zhang; Xiuying Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM Agent; Workflow Generation
1947	DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs Authors: Dongyuan Li; Shiyin Tan; Ying Zhang; Ming Jin; Shirui Pan; Manabu Okumura; Renhe Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Temporal Graph; Link Prediction; Long-term Sequence Modeling
1948	Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction Authors: Yuan Sun; Julio Contreras; Jorge Ortiz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D gaussian splatting; indoor Occupancy Prediciton
1949	Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval Authors: Shuang Zhang; Yue Wu; Lei Shi; Yingxue Zhang; Feifei Kou; Huilong Jin; Pengfei Zhang; Meiyu Liang; Mingying Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Cross-modal hash retrieval; Auxiliary hash; Dynamic masking
1950	Dynamic Shadow Unveils Invisible Semantics for Video Outpainting Authors: Ruilin Li; Hang Yu; Jiayan Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Shadow Processing; Video Generation
1951	Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention Authors: Mumin Jia; Jairo Diaz-Rodriguez Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-attention; spontaneous topic changes; spontaneous human thought; next token prediction
1952	EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test Authors: Yuhui Li; Fangyun Wei; Chao Zhang; Hongyang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Speculative decoding
1953	ECO: Evolving Core Knowledge for Efficient Transfer Authors: Fu Feng; Yucheng Xie; Ruixiao Shi; Jianlu Shen; Jing Wang; Xin Geng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Transfer; Population-Based Adaptation; Biologically Inspired Computation
1954	ELDET: Early-Learning Distillation with Noisy Labels for Object Detection Authors: Dongmin Choi; Sangbin Lee; EungGu Yun; Jonghyuk Baek; Frank C. Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: object detection; noisy label; early learning
1955	EVODiff: Entropy-aware Variance Optimized Diffusion Inference Authors: Shigui Li; Wei Chen; Delu Zeng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Inference-time refinement; Efficient sampling; Conditional entropy; Variance optimization
1956	EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization Authors: Yize Wu; KE GAO; Ling Li; Yanjun Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; inference acceleration; speculative decoding
1957	Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs Authors: Jinzhe Liu; Junshu Sun; Shufan Shen; Chenxue Yang; Shuhui Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Lifelong model editing; fine-grained editing; knowledge editing; large language models
1958	Effective Neural Approximations for Geometric Optimization Problems Authors: Samantha Chen; Oren Ciolli; Anastasios Sidiropoulos; Yusu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: geometric deep learning; computational geometry; neural networks; point clouds
1959	Effects of Dropout on Performance in Long-range Graph Learning Tasks Authors: Jasraj Singh; Keyue Jiang; Brooks Paige; Laura Toni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dropout; graph neural networks; long-range interactions
1960	Efficient Bayesian Experiment Design with Equivariant Networks Authors: Conor Igoe; Tejus Gupta; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Bayesian Experiment Design; Bayesian Optimization; Active Search; Deep Learning; Deep Reinforcement Learning; Graph Neural Networks
1961	Efficient Data Selection at Scale via Influence Distillation Authors: Mahdi Nikdan; Vincent Cohen-Addad; Dan Alistarh; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Selection; Data Weighting; Influence Distillation; Fine Tuning; Efficient Training; Large Language Models
1962	Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning Authors: Ali Taghibakhshi; Sharath Turuvekere Sreenivas; Saurav Muralidharan; Marcin Chochowski; Yashaswi Karnati; Raviraj Bhuminand Joshi; Ameya Sunil Mahabaleshwarkar; ZIJIA CHEN; Yoshi… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Compression; Pruning; SSMs; Hybrid LLM
1963	Efficient Large Language Model Inference with Neural Block Linearization Authors: Mete Erdogan; Francesco Tonin; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inference; Transformer; LLM; CCA; Lightweight Architectures
1964	Efficient Low Rank Attention for Long-Context Inference in Large Language Models Authors: Li Tenghui; Guoxu Zhou; Xuyang ZHAO; Yuning Qiu; Qibin Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; KV cache; Low rank decomposition; Long context inference
1965	Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling Authors: Jinhee Kim; Jae Jun An; Kang Eun Jeon; Jong Hwan Ko Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-bit quantization network; once-for-all training; coreset sampling
1966	Efficient Multimodal Dataset Distillation via Generative Models Authors: Zhenghao Zhao; Haoxuan Wang; Junyi Wu; Yuzhang Shang; Gaowen Liu; Yan Yan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dataset distillation
1967	Efficient RAW Image Deblurring with Adaptive Frequency Modulation Authors: Wenlong Jiao; Binglong Li; Wei Shang; Ping Wang; Dongwei Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: frequency domain; image deblurring; raw image deblurring
1968	Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy Authors: Nan Li; Yonghui Su; Lianbo Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mixed-Precision Quantization; Topological Entropy; Generalizable
1969	Efficient semantic uncertainty quantification in language models via diversity-steered sampling Authors: Ji Won Park; Kyunghyun Cho Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: uncertainty quantification; large language models; natural language generation; semantic diversity; importance sampling
1970	EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval Authors: Zebin Yang; Sunjian Zheng; Tong Xie; Tianshi Xu; Bo Yu; Fan Wang; Jie Tang; Shaoshan Liu; Meng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Object-Goal Navigation; Navigation Map; Memory Caching; Memory Retrieval
1971	EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Authors: Yantai Yang; Yuhao Wang; Zichen Wen; Luo Zhongwei; Chang Zou; Zhipeng Zhang; Chuan Wen; Linfeng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient AI; Embodied AI; Vision-Language-Action Model
1972	Efficiently Scaling LLM Reasoning Programs with Certaindex Authors: Yichao Fu; Junda Chen; Siqi Zhu; Zheyu Fu; Zhongdongming Dai; Yonghao Zhuang; Yian Ma; Aurick Qiao; Tajana Rosing; Ion Stoica; Hao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM Reasoning; LLM Efficiency
1973	Elastic Robust Unlearning of Specific Knowledge in Large Language Models Authors: Yize Sui; Jing Ren; Wenjing Yang; Ruochun Jin; Liyang Xu; Xiyao Liu; Ji Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Unlearning; Preference Optimization; Unlearning Robustness
1974	Elastic ViTs from Pretrained Models without Retraining Authors: Walter Simoncini; Michael Dorkenwald; Tijmen Blankevoort; Cees G. M. Snoek; Yuki M Asano Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Elastic Inference; Elastic ViTs; Pruning
1975	Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation Authors: Jitesh Jain; Zhengyuan Yang; Humphrey Shi; Jianfeng Gao; Jianwei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Representation Learning; Multimodal Large Language Models; Visual Perception
1976	Eliciting Reasoning in Language Models with Cognitive Tools Authors: Brown Ebouky; Andrea Bartezzaghi; Mattia Rigotti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Reasoning; Tools
1977	Embedding Principle of Homogeneous Neural Network for Classification Problem Authors: Jiahan Zhang; Yaoyu Zhang; Tao Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KKT Points; Network Embedding; Homogeneous Neural Networks; Neuron Splitting; Maximum Margin Classification
1978	Embodied Cognition Augmented End2End Autonomous Driving Authors: Ling Niu; Xiaoji Zheng; han wang; Ziyuan Yang; Chen Zheng; Bokui Chen; Jiangtao Gong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: End-to-End Autonomous Driving; Cognitive-Enhanced AI Algorithms
1979	Emergence of Linear Truth Encodings in Language Models Authors: Shauli Ravfogel; Gilad Yehudai; Tal Linzen; Joan Bruna; Alberto Bietti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: truth; factuality; linearity; LMs
1980	Emergent Temporal Correspondences from Video Diffusion Transformers Authors: Jisu Nam; Soowon Son; Dahyun Chung; Jiyoung Kim; Siyoon Jin; Junhwa Hur; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generative Models; Video Diffusion Models; Temporal Correspondence
1981	Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding Authors: Minseok Kang; Minhyeok Lee; Minjung Kim; Donghyeong Kim; Sangyoun Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Temporal Grounding; Moment Retrieval; Cross-modal Learning; Vision-Language Models; Temporal Localization
1982	Encoder-Decoder Diffusion Language Models for Efficient Training and Inference Authors: Marianne Arriola; Yair Schiff; Hao Phung; Aaron Gokaslan; Volodymyr Kuleshov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Text Diffusion; Diffusion Models; Language Models; Generative Models
1983	End-to-End Vision Tokenizer Tuning Authors: Wenxuan Wang; Fan Zhang; Yufeng Cui; Haiwen Diao; Zhuoyan Luo; Huchuan Lu; Jing Liu; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Vision Tokenizer; Autoregressive Model; Multimodal Generation and Understanding
1984	Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States Authors: Runze Xia; Richard Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Transformers; Hopfield networks; Computational efficiency; Explainable AI
1985	Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling Authors: Michal Balcerak; Tamaz Amiranashvili; Antonio Terpin; Suprosanna Shit; Lea Bogensperger; Sebastian Kaltenbach; Petros Koumoutsakos; Bjoern Menze Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Modeling; Energy-Based Models; Flow Matching; Optimal Transport; Inverse Problems; Likelihood Modeling
1986	Enforcing convex constraints in Graph Neural Networks Authors: Ahmed Rashwan; Keith Briggs; Chris Budd; Lisa Maria Kreusser Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Constrained optimisation; Dykstra's projection algorithm
1987	Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models Authors: Lei Liu; Xingyu Xia; Qianqian Xie; Ben Liu; Wenjie Xu; Min Peng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Representation Learning; Graph Foundation Model; Mixture of Experts; Expert Merging
1988	Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions Authors: Jihoon Kwon; Kyle Min; Jy-yong Sohn Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Compositional Reasoning; Vision-Language Models; Contrastive Learning; CLIP
1989	Enhancing Graph Classification Robustness with Singular Pooling Authors: Sofiane ENNADIR; Oleg Smirnov; Yassine ABBAHADDOU; Lele Cao; Johannes F. Lutzeyer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adversarial Robustness; Graph Neural Networks
1990	Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward Authors: Yanming Wan; Jiaxing Wu; Marwa Abdulhai; Lior Shani; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Personalization in LLMs; Reinforcement Learning from Human Feedback; Conversational Agent; Intrinsic Motivation
1991	Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders Authors: Ali Rasekh; Erfan Bagheri Soula; Omid Daliran; Simon Gottschalk; Mohsen Fayyaz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video-LLM; Video Understanding; Temporal Reasoning; Video Question Answering; Large Vision Language Model; Multimodal LLMs
1992	Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding Authors: Yixiong Fang; Ziran Yang; Zhaorun Chen; Zhuokai Zhao; Jiawei Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision language models; multimodal AI; trustworthy; hallucination reduction; uncertainty quantification; dropout decoding; inference time algorithm
1993	Enhancing Visual Prompting through Expanded Transformation Space and Overfitting Mitigation Authors: Shohei Enomoto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: visual prompting; adversarial reprogramming; fine tuning
1994	Enhancing the Outcome Reward-based RL Training of MLLMs with Self-Consistency Sampling Authors: Jiahao Wang; Weiye Xu; Aijun Yang; Wengang Zhou; Lewei Lu; Houqiang Li; Xiaohua Wang; Jinguo Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-Consistency; Outcome Reward-based RL; MLLM
1995	Entropic Time Schedulers for Generative Diffusion Models Authors: Dejan Stancevic; Florian Handke; Luca Ambrogioni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Diffusion Models; Information Theory; Conditional Entropy; Noise Scheduling; Stochastic Differential Equations (SDEs)
1996	Entropy Rectifying Guidance for Diffusion and Flow Models Authors: Tariq Berrada; Adriana Romero-Soriano; Michal Drozdzal; Jakob Verbeek; Karteek Alahari Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative model; diffusion; flows; guidance; sampling; image generation.
1997	EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network Authors: Michael Arbel; David Salinas; Frank Hutter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tabular data; equivariance; foundation model; TabPFN
1998	Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models Authors: Ben Finkelshtein; Ismail Ilkan Ceylan; Michael M. Bronstein; Ron Levie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: universal approximation; equivariance and invariance; graph foundation models; message passing
1999	Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Authors: Alejandro García-Castellanos; David Wessels; Nicky J. van den Berg; Remco Duits; Daniel Pelt; Erik J Bekkers Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Geometric Deep Learning; Neural Fields; Eikonal Equation; Equivariance; Travel-time; Riemannian Geometry
2000	EventMG: Efficient Multilevel Mamba-Graph Learning for Spatiotemporal Event Representation Authors: Sheng Wu; Lin Jin; Hui Feng; Bo Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Event Camera; Mamba; Graph Neural Network; Spatiotemporal Representation Learning
2001	Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling Authors: Xinglin Wang; Yiwei Li; Shaoxiong Feng; Peiwen Yuan; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test-Time Scaling; Resource Allocation; Large Language Model
2002	EvolvedGRPO: Unlocking Reasoning in LVLMs via Progressive Instruction Evolution Authors: Zhebei Shen; Qifan Yu; Juncheng Li; Wei Ji; Qizhi Chen; Siliang Tang; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multi-modal reasoning; reinforcement learning; self-improvement
2003	Evolving and Regularizing Meta-Environment Learner for Fine-Grained Few-Shot Class-Incremental Learning Authors: Li-Jun Zhao; Zhen-Duo Chen; Yongxin Wang; Xin Luo; Xin-Shun Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Fine-grained classification; Few-shot class-incremental learning
2004	ExGra-Med: Extended Context Graph Alignment for Medical Vision-Language Models Authors: Duy Minh Ho Nguyen; Nghiem Tuong Diep; Trung Quoc Nguyen; Hoang-Bao Le; Tai Nguyen; Anh-Tien Nguyen; TrungTin Nguyen; Nhat Ho; Pengtao Xie; Roger Wattenhofer; Daniel Sonntag; Jame… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multi-modal LLM; multi-modal learning; representation learning; healthcare
2005	ExPO: Unlocking Hard Reasoning with Self-Explanation-Guided Reinforcement Learning Authors: Ruiyang Zhou; Shuozhe Li; Amy Zhang; Liu Leqi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Self-improvement; Guided exploration; Reasoning; Reinforcement Learning with Verifiable Reward; Bootstrapping
2006	Execution Guided Line-by-Line Code Generation Authors: Boaz Lavon; Shahar Katz; Lior Wolf Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Program Induction; Problem Solving; Reasoning; Natural Language Processing
2007	Explainable Reinforcement Learning from Human Feedback to Improve Alignment Authors: Shicheng Liu; Siyuan Xu; Wenjie Qiu; Hangfan Zhang; Minghui Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: explainable reinforcement learning from human feedback; alignment
2008	Explaining and Mitigating Crosslingual Tokenizer Inequities Authors: Catherine Arnett; Tyler A. Chang; Stella Biderman; Ben Bergen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tokenizers; subword tokenization; multilingual
2009	Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training Authors: Woojin Chung; Jeonghoon Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Token Frequency Imbalance; Vocabulary Size; Pre-training Language Model; Information Theory; Tokenization
2010	Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining Authors: Ping Guo; Yubing Ren; BINBINLIU; Fengze Liu; Haobin Lin; Yifan Zhang; Bingni Zhang; Taifeng Wang; Yin Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Pre-training; Scaling Law; Language Mix Ratio
2011	Exploring the Design Space of Diffusion Bridge Models Authors: Shaorong Zhang; Yuanbin Cheng; Greg Ver Steeg Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion bridge models; stochastic interpolants; image-to-image translation
2012	FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training Authors: Xinxin You; Qixin Sun; Chenwei Yan; Xiao Zhang; Chen Ning; Xiangling Fu; Si Liu; Guoping Hu; Shijin Wang; Ji Wu; Xien Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inconsistent Hallucination; Fact-Driven Code-Text; Alternating Training
2013	FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic Authors: Kanghyun Choi; Hyeyoon Lee; SunJong Park; Dain Kwon; Jinho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: FP8; Quantization; LLM; LoRA; Quantized training
2014	FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression Authors: Yifei Gao; Yong Chen; Chen Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Functional Attention; Function-on-Function Regression; Bidirectional NCDE; Mixture-of-Experts
2015	FAN: Fourier Analysis Networks Authors: Yihong Dong; Ge Li; Yongding Tao; Xue Jiang; Kechi Zhang; Jia Li; Jinliang Deng; Jing Su; Jun Zhang; Jingjing Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation model architecture
2016	FEEDBACK FRICTION: LLMs Struggle to Fully Incorporate External Feedback Authors: Dongwei Jiang; Alvin Zhang; Andrew Wang; Nicholas Andrews; Daniel Khashabi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model; Self-Improvement
2017	FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering Authors: Liangyu Zhong; Fabio Rosenthal; Joachim Sicking; Fabian Hüger; Thorsten Bagdonat; Hanno Gottschalk; Leo Schwinn Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision-language models; large language models; visual question answering
2018	FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential Segmentation Authors: Fan Yang; Yousong Zhu; Xin Li; Yufei Zhan; Hongyin Zhao; Shurong Zheng; Yaowei Wang; Ming Tang; Jinqiao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision Language Model; Genenration Edit
2019	FORLA: Federated Object-Centric Representation Learning with Slot Attention Authors: Guiqiu Liao; Matjaz Jogan; Eric Eaton; Daniel A Hashimoto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated learning; Representation learning; Slot attention; Object-centric learning
2020	FRN: Fractal-Based Recursive Spectral Reconstruction Network Authors: Ge Meng; Zhongnan Cai; Ruizhe Chen; Jingyan Tu; Yingying Wang; Yue Huang; Xinghao Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hyperspectral Image; Spectral Reconstruction; Fractal; State Space Model
2021	FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing Authors: Kaixiang Yang; Xin Li; Yuxi Li; Qiang Li; Zhiwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Editing; Tuning-free; Non-rigid Editing
2022	FaCT: Faithful Concept Traces for Explaining Neural Network Decisions Authors: Amin Parchami-Araghi; Sukrut Rao; Jonas Fischer; Bernt Schiele Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Concept Explanations; Inherent interpretability; Faithfulness
2023	Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation Authors: Guoqing Hu; An Zhang; Shuchang Liu; Wenyu Mao; Jiancan Wu; Xun Yang; Xiang Li; Lantao Hu; Han Li; Kun Gai; Xiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Recommendation; Discrete Diffusion; Preference Ratios
2024	Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones Authors: Daking Rai; Samuel Miller; Kevin Moran; Ziyu Yao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Models; Mechanistic Interpretability; LM Generation Steering; Syntactic Code Completion
2025	Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models Authors: Benjamin Ramtoula; Pierre-Yves Lajoie; Paul Newman; Daniele De Martini Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transfer learning; Feature extraction; Adaptation models; Representation learning
2026	Fast Data Attribution for Text-to-Image Models Authors: Sheng-Yu Wang; Aaron Hertzmann; Alexei A Efros; Richard Zhang; Jun-Yan Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Attribution; Influence Estimation; Text-to-Image models; Image Retrieval
2027	Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Authors: Yinuo Ren; Haoxuan Chen; Yuchen Zhu; Wei Guo; Yongxin Chen; Grant M. Rotskoff; Molei Tao; Lexing Ying Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete diffusion model; fast solver; high-order scheme; Runge-Kutta method
2028	Fast constrained sampling in pre-trained diffusion models Authors: Alexandros Graikos; Nebojsa Jojic; Dimitris Samaras Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; training-free conditional sampling
2029	FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed Authors: Jiaqi Zhang; Juntuo Wang; Zhixin Sun; John Zou; Randall Balestriero Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-Supervised Learning; Vision Foundation Model; Robustness; Efficient Training; Curriculum Learning
2030	FastVID: Dynamic Density Pruning for Fast Video Large Language Models Authors: Leqi Shen; Guoqiang Gong; Tao He; Yifeng Zhang; pengzhang liu; Sicheng Zhao; Guiguang Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Large Language Models; Inference Acceleration
2031	Faster Video Diffusion with Trainable Sparse Attention Authors: Peiyuan Zhang; Yongqi Chen; Haofeng Huang; Will Lin; Zhengzhong Liu; Ion Stoica; Eric P. Xing; Hao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Model; Video Generation; Efficient Attention; Sparse Attention
2032	Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World Authors: Qinting Jiang; Chuyang Ye; Dongyan Wei; Bingli Wang; Yuan Xue; Jingyan Jiang; Zhi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test time adaptation; domain adaptation; continual learning
2033	Feature-aware Modulation for Learning from Temporal Tabular Data Authors: Haorun Cai; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tabular deep learning; distribution shift; temporal shift; machine learning
2034	FedEL: Federated Elastic Learning for Heterogeneous Devices Authors: Letian Zhang; Bo Chen; Jieming Bian; Lei Wang; Jie Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Heterogeneous Devices
2035	FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning Authors: Zhiqin Yang; Yonggang Zhang; Chenxin Li; Yiu-ming Cheung; Bo Han; Yixuan Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Data Heterogeneity; Statistical Rectification
2036	FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts Authors: Weihao Bo; Yanpeng Sun; Yu Wang; Xinyu Zhang; Zechao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federal learning; Vision language Model; Prompt Learning
2037	FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling Authors: Hong Huang; Jinhai Yang; Yuan Chen; Jiaxun Ye; Dapeng Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federared Learning; Neural Network Pruning; Combinatorial Thompson Sampling
2038	FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Authors: Seanie Lee; Sangwoo Park; Dong Bok Lee; Dominik Wagner; Haebin Seong; Tobias Bocklet; Juho Lee; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; LoRA; Differential Privacy
2039	FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Authors: Tianle Li; Yongzhi Huang; Linshan Jiang; Chang Liu; Qipeng Xie; Wenfeng Du; Lu Wang; Kaishun Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Model generalization; Sharpness-Aware Minimization; Momentum
2040	Federated Continual Learning via Orchestrating Multi-Scale Expertise Authors: Xiaoyang Yi; Yang Liu; Binhan Yang; Jian Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Continual Learning
2041	Federated Dialogue-Semantic Diffusion for Emotion Recognition under Incomplete Modalities Authors: Xihang Qiu; Jiarong Cheng; Yuhao Fang; Wanpeng Zhang; Yao Lu; Ye Zhang; Chun Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated learning; multimodal emotion recognition; diffusion model
2042	Feedback Guidance of Diffusion Models Authors: Felix Koulischer; Florian Handke; Johannes Deleu; Thomas Demeester; Luca Ambrogioni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Classifier-free guidance; Diffusion guidance
2043	FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies Authors: Shuqiao Liang; Jian Liu; Chen Renzhang; Quanlong Guan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Synthetic Image Detection; Local Pixel Dependencies; Markov Random Fields; Image Forensics
2044	Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations Authors: Faisal Hamman; Pasan Dissanayake; Yanjun Fu; Sanghamitra Dutta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Counterfactual Explanations; Few-shot Learning; Data Efficiency
2045	Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining Authors: Mikey Shechter; Yair Carmon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: dataset filtering; dataset curation; vision-language pretraining; CLIP; representation learning
2046	Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods Authors: Oussama Zekri; Nicolas Boulle Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Policy gradient algorithms; Non-differentiable rewards; Fine-Tuning; Reinforcement Learning from Human Feedback
2047	FineRS: Fine-grained Reasoning and Segmentation of Small Objects with Reinforcement Learning Authors: Lu Zhang; Jiazuo Yu; Haomiao Xiong; Ping Hu; Yunzhi Zhuge; Huchuan Lu; You He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: High-Resolution; Small Object Segmentation; MLLMs; Reinforcement Learning
2048	Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint? Authors: Xi Chen; Kaituo Feng; Changsheng Li; Xunhao Lai; Xiangyu Yue; Ye Yuan; Guoren Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Memory Efficient Training; Full-rank Training
2049	First Attentions Last: Better Exploiting First Attentions for Efficient Parallel Training Authors: Gyudong Kim; Hyukju Na; Jin Hyeon Kim; Hyunsung Jang; Jaemin Park; Jaegi Hwang; NAMKOO HA; Seungryong Kim; Young Geun Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Networks; Parallelism; Distributed Training; Tensor Parallel
2050	First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training Authors: Lai Wei; Yuting Li; Chen Wang; Yue Wang; Linghe Kong; Weiran Huang; Lichao Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal Large Language Models; Multi-modal Reasoning; Self-Improvement; Unsupervised Post-Training
2051	FlashBias: Fast Computation of Attention with Bias Authors: Haixu Wu; Minghao Guo; Yuezhou Ma; Yuanxu Sun; Jianmin Wang; Wojciech Matusik; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: FlashAttention; Efficient Attention
2052	Flat Channels to Infinity in Neural Loss Landscapes Authors: Flavio Martinelli; Alexander van Meegen; Berfin Simsek; Wulfram Gerstner; Johanni Brea Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Loss Landscape; Critical Points; Optimization; Gated Linear Units; Flat Minima; Sharp Minima
2053	Flatten Graphs as Sequences: Transformers are Scalable Graph Generators Authors: Dexiong Chen; Markus Krimmel; Karsten Borgwardt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph generation; transformers; autoregressive modeling; language models; LLMs
2054	Flex-Judge: Text-Only Reasoning Unleashes Zero-Shot Multimodal Evaluators Authors: Jongwoo Ko; Sungnyun Kim; Sungwoo Cho; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mllm-as-a-judge; automatic evaluation; multimodal reasoning; multimodal large language models
2055	FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction Authors: Siyu Jiao; Gengwei Zhang; Yinlong Qian; Jiancheng Huang; Yao Zhao; Humphrey Shi; Lin Ma; Yunchao Wei; ZEQUN JIE Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autoregressive Modeling; Image generation
2056	Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Authors: Ruixiang ZHANG; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista; Joshua M. Susskind; Navdeep Jaitly Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Normalizing Flows; Autoregressive Models; Latent Autoregressive Flows
2057	Flexible Realignment of Language Models Authors: Wenhong Zhu; Ruobing Xie; Weinan Zhang; Rui Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Realignment; Reasoning; Dialougue; Hybrid model
2058	Flow Matching Neural Processes Authors: Hussen Abu Hamad; Dan Rosenbaum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: flow matching; neural processes
2059	Flow-GRPO: Training Flow Matching Models via Online RL Authors: Jie Liu; Gongye Liu; Jiajun Liang; Yangguang Li; Jiaheng Liu; Xintao Wang; Pengfei Wan; Di ZHANG; Wanli Ouyang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reinforcement learning; flow matching; text to image generation
2060	FlowCut: Rethinking Redundancy via Information Flow for Efficient Vision-Language Models Authors: Jintao Tong; Wenwei Jin; Pengda Qin; Anqi Li; Yixiong Zou; Yuhong Li; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Language Model; Efficiency; Visual Token Pruning
2061	FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation Authors: Ariel Shaulov; Itay Hazan; Lior Wolf; Hila Chefer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; diffusion models; generative models
2062	FlowPrune: Accelerating Attention Flow Calculation by Pruning Flow Network Authors: Shuo Xu; Yu Chen; Shuxia Lin; Xin Geng; Xu Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer; Attention Flow; Graph Pruning; Max-Flow Min-Cut; Interpretability
2063	Flux4D: Flow-based Unsupervised 4D Reconstruction Authors: Jingkang Wang; Henry Che; Yun Chen; Ze Yang; Lily Goli; Sivabalan Manivasagam; Raquel Urtasun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: unsupervised 4D reconstruction; large reconstruction model; self-driving
2064	FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts Authors: Heming Zou; Yunliang Zang; Wutong Xu; Yao Zhu; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: low-rank adaptation; fly olfactory circuit; parameter-efficient fine-tuning; Mixture-of-Expert; model merging
2065	FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks Authors: Luca Della Libera; Francesco Paissan; Cem Subakan; Mirco Ravanelli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Speech coding; Discrete representations; Vector quantization; Generative models
2066	Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models Authors: Louis Béthune; David Vigouroux; Yilun Du; Rufin VanRullen; Thomas Serre; Victor Boutin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Riemannian metric; geodesics; energy-based model; data-driven metric; energy landscape; shortest-path
2067	For Better or for Worse, Transformers Seek Patterns for Memorization Authors: Madhur Panwar; Gail Weiss; Navin Goyal; Antoine Bosselut Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: memorization; training dynamics; interpretability; generalization; language models
2068	Force Prompting: Video Generation Models Can Learn And Generalize Physics-based Control Signals Authors: Nate Gillman; Charles Herrmann; Michael Freeman; Daksh Aggarwal; Evan Luo; Deqing Sun; Chen Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: controllable video generation; physical forces; synthetic data
2069	Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation Authors: Cécile Rousseau; Tobia Boschi; Giandomenico Cornacchia; Dhaval Salwala; Alessandra Pascale; Juan Bernabe Moreno Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series; Synthetic Data Generation; LLMs
2070	Foundation Cures Personalization: Improving Personalized Models’ Prompt Consistency via Hidden Foundation Knowledge Authors: Yiyang Cai; Zhengkai Jiang; Yulong Liu; Chunyang Jiang; Wei Xue; Yike Guo; Wenhan Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Generation; Persoanalization
2071	Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation Authors: Jiesong Liu; Xipeng Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient transformers
2072	Fractional Diffusion Bridge Models Authors: Gabriel Nobis; Maximilian Springenberg; Arina Belova; Rembert Daems; Christoph Knochenhauer; Manfred Opper; Tolga Birdal; Wojciech Samek Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Schroedinger bridge; stochastic interpolant; data translation; fractional diffusion process; conformational changes in proteins; bridge matching; diffusion mod…
2073	Frame In-N-Out: Unbounded Controllable Image-to-Video Generation Authors: Boyang Wang; Xuweiyi Chen; Matheus Gadelha; Zezhou Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generation; Image Generation; Diffusion Model
2074	FrameShield: Adversarially Robust Video Anomaly Detection Authors: Mojtaba Nafez; Mobina Poulaei; Nikan Vasei; Bardia soltani moakhar; Mohammad Sabokrou; Mohammad Hossein Rohban Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Anomaly Detection; Adversarial Robustness; Multiple Instance Learning
2075	FreeInv: Free Lunch for Improving DDIM Inversion Authors: Yuxiang Bao; Huijie Liu; xun gao; Huan Fu; Guoliang Kang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: DDIM inversion; diffusion model
2076	FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance Authors: Ying Li; chengfei lv; Huan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Autoregressive Models; Dynamic Inference; Early Exit; Frequency-Gated Supervision
2077	FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency Authors: Yifei Su; Ning Liu; Dong Chen; Zhen Zhao; Kun Wu; Meng Li; Zhiyuan Xu; Zhengping Che; Jian Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visuomotor policy; Robotic manipulation; Efficient AI; Deep learning acceleration
2078	FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens Authors: Yiming Zhong; Yumeng Liu; Chuyang Xiao; Zemin Yang; Youzhuo Wang; Yufei Zhu; Ye Shi; Yujing Sun; Xinge Zhu; Yuexin Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Robot Action Generation; Visuomotor Policy Learning; Frequency-domain Modeling; Continuous Latent Representation
2079	Frequency-Aware Token Reduction for Efficient Vision Transformer Authors: Dong-Jae Lee; Jiwan Hur; Jaehyun Choi; Jaemyung Yu; Junmo Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Transformer; Token pruning; Token merging
2080	From Bytes to Ideas: Language Modeling with Autoregressive U-Nets Authors: Mathurin VIDEAU; Badr Youbi Idrissi; Alessandro Leite; Marc Schoenauer; Olivier Teytaud; David Lopez-Paz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Modelling; Large Language Models; Hierarchical Models; Byte Level Transformer; Tokenization
2081	From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging Authors: Tao Liu; Dafeng Zhang; Gengchen Li; Shizhuo Liu; yongqi song; Senmao Li; Shiqi Yang; Boqian Li; Kai Wang; Yaxing Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; face aging; facial age transformation
2082	From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization Authors: Shoaib Ahmed Siddiqui; Adrian Weller; David Krueger; Gintare Karolina Dziugaite; Michael Curtis Mozer; Eleni Triantafillou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unlearning; tamper-resistance; relearning attacks; weight-space analysis
2083	From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures Authors: Jens U. Brandt; Noah C. Pütz; Marcus Greiff; Thomas Jonathan Lew; John Subosits; Marc Hilbert; Thomas Bartz-Beielstein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Robustness; Pretraining; Masking; Self-Supervised Learning; Representation Learning; Sensor Failures
2084	From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction Authors: Zhida Zhao; Talas Fu; Yifan Wang; Lijun Wang; Huchuan Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: World model; Autonomous driving; End-to-end planning
2085	From Pretraining to Pathology: How Noise Leads to Catastrophic Inheritance in Medical Models Authors: Hao Sun; Zhongyi Han; Hao Chen; Jindong Wang; Xin Gao; Yilong Yin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Catastrophic Inheritance; Pretraining Noise; Distribution Shift; Medical Data Analysis
2086	From Self-Check to Consensus: Bayesian Strategic Decoding in Large Language Models Authors: Weitong Zhang; Chengqi Zang; Bernhard Kainz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-agent System; Game Theory; Mechanism Design
2087	From Softmax to Score: Transformers Can Effectively Implement In-Context Denoising Steps Authors: Paul Rosu; Lawrence Carin; Xiang Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer; in context learning; diffusion denoising; manifold projection
2088	From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning Authors: Eric Zhao; Pranjal Awasthi; Nika Haghtalab Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: finetuning; language models; knowledge injection; task customization
2089	Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation Authors: Chaoyang Wang; Ashkan Mirzaei; Vidit Goel; Willi Menapace; Aliaksandr Siarohin; Michael Vasilkovsky; Ivan Skorokhodov; Vladislav Shakhrai; Sergei Korolev; Sergey Tulyakov; Peter W… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 4D generation; video generation; 4D video generation; multi-view video generation; novel view synthesis
2090	Future Link Prediction Without Memory or Aggregation Authors: Lu Yi; Runlin Lei; Fengran Mo; Yanping Zheng; Zhewei Wei; Yuhang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: temporal graph learning; future link prediction
2091	GAMMA: Gated Multi-hop Message Passing for Homophily-Agnostic Node Representation in GNNs Authors: Amir Ghazizadeh Ahsaei; Rickard Ewetz; Hao Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: GNNs; Semi-supervised Learning; Message Passing; Heterophlic GNNs
2092	GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation Authors: Linhao Luo; Zicheng Zhao; Gholamreza Haffari; Dinh Phung; Chen Gong; Shirui Pan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Foundation Model; Retrieval Augmented Generation; Graph-enhanced Retrieval Augmented Generation
2093	GLNCD: Graph-Level Novel Category Discovery Authors: Bowen Deng; Lele Fu; Sheng Huang; Tianchi Liao; Jialong Chen; Zhang Tao; Chuan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Novel category discovery; Open-world learning; Graph neural network
2094	GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity Authors: Seongheon Park; Sharon Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large vision-language models; multi-modal large language models; object hallucination
2095	GMV: A Unified and Efficient Graph Multi-View Learning Framework Authors: Qipeng zhu; Jie Chen; Jian Pu; Junping Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Graph Classification
2096	GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection Authors: Xin Gao; Jiyao Liu; Guanghao Li; Yueming Lyu; Jianxiong Gao; Weichen Yu; Ningsheng Xu; Liang Wang; Caifeng Shan; Ziwei Liu; Chenyang Si Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: OOD detection; Diffusion Model; Guided Sampling
2097	GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling Authors: Tianhao Chen; Xin Xu; Zijing Liu; Pengxiang Li; Xinyuan Song; AJAY KUMAR JAISWAL; Fan Zhang; Jishan Hu; Yang Wang; Hao Chen; Shizhe Diao; Shiwei Liu; Yu Li; Lu Yin; Can Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Pretraining; Normalization
2098	GPO: Learning from Critical Steps to Improve LLM Reasoning Authors: Jiahao Yu; Zelei Cheng; Xian Wu; Xinyu Xing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; explainable reinforcement learning; fine-tuning
2099	GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation Authors: Zhengqiang ZHANG; Rongyuan Wu; Lingchen Sun; Lei Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: autoencoder; image generation
2100	GRAPE: Optimize Data Mixture for Group Robust Multi-target Adaptive Pretraining Authors: Simin Fan; Maria Ios Glarou; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM pretrain; data selection
2101	GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning Authors: Haonan Yuan; Qingyun Sun; Junhua Shi; Xingcheng Fu; Bryan Hooi; Jianxin Li; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph foundation models; multi-domain graph pre-training; graph transfer learning; graph prompt fine-tuning
2102	GRE Suite: Geo-localization Inference via Fine-Tuned Vision-Language Models and Enhanced Reasoning Chains Authors: Chun Wang; Xiaojun Ye; Xiaoran Pan; Zihao Pan; Haofan Wang; Yiren Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Geo-localization; Multimodal Reasoning; Vision-Language Models
2103	GRIFFIN: Effective Token Alignment for Faster Speculative Decoding Authors: Shijing Hu; Jingyang Li; Xingyu Xie; Zhihui Lu; Kim-chuan Toh; Pan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Speculative Decoding; LLM Inference Acceleration; Token Alignment
2104	GSPN-2: Efficient Parallel Sequence Modeling Authors: Hongjun Wang; yitong jiang; Collin McCarthy; David Wehr; Hanrong Ye; Xinhao Li; Ka Chun Cheung; Wonmin Byeon; Jinwei Gu; Ke Chen; Kai Han; Hongxu Yin; Pavlo Molchanov; Jan Kautz;… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: computer vision; deep learning
2105	GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents Authors: Qianhui Wu; Kanzhi Cheng; Rui Yang; Chaoyun Zhang; Jianwei Yang; Huiqiang Jiang; Jian Mu; Baolin Peng; Bo Qiao; Reuben Tan; Si Qin; Lars Liden; Qingwei Lin; Huan Zhang; Tong Zhang… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: GUI Agents; cooridinate-free visual grounding; VLM; VLA
2106	GUIDED: Granular Understanding via Identification, Detection, and Discrimination for Fine-Grained Open-Vocabulary Object Detection Authors: Jiaming Li; Zhijia Liang; Weikai Chen; Lin Ma; Guanbin Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: open vocabulary object detection; detection transformer; fine-grained object detection; vision-language models
2107	GVPO: Group Variance Policy Optimization for Large Language Model Post-Training Authors: Kaichen Zhang; Yuzhong Hong; Junwei Bao; Hongfei Jiang; yang song; Hong Dingqian; Hui Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Post Training; Reinforcement Learning; Reasoning; GVPO; GRPO
2108	Gains: Fine-grained Federated Domain Adaptation in Open Set Authors: Zhengyi Zhong; Wenzheng Jiang; Weidong Bao; Ji Wang; Cheems Wang; Guanbo Wang; Yongheng Deng; Ju Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated learning; domain adaptation; federated domain adaptation
2109	Gated Integration of Low-Rank Adaptation for Continual Learning of Large Language Models Authors: Yan-Shuo Liang; Jiarui Chen; Wu-Jun Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Continual Learning; low-rank adaptation
2110	Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding Authors: Anupam Pani; Yanchao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: VLM; Eye-gaze
2111	Gemstones: A Model Suite for Multi-Faceted Scaling Laws Authors: Sean Michael McLeish; John Kirchenbauer; David Yu Miller; Siddharth Singh; Abhinav Bhatele; Micah Goldblum; Ashwinee Panda; Tom Goldstein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural scaling laws; large language models
2112	GenIR: Generative Visual Feedback for Mental Image Retrieval Authors: Diji Yang; Minghao Liu; Chung-Hsiang Lo; Yi Zhang; James Davis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Round Image Retrieval; Vision-Language Models; Generative Retrieval
2113	Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization Authors: Yang Li; Lvda Chen; Haonan Wang; Runzhong Wang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Generative Model; Inference-Time Scaling; Diffusion Model
2114	Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting Authors: Ruyi An; Haicheng Huang; Huangjie Zheng; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Data Augmentation; Diffusion Model Distillation
2115	Generative Graph Pattern Machine Authors: Zehong Wang; Zheyuan Zhang; Tianyi Ma; Chuxu Zhang; Yanfang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Pre-Training; Graph Transformer; Substructure; Scalability
2116	Generative Pre-trained Autoregressive Diffusion Transformer Authors: Yuan Zhang; Jiacheng Jiang; Guoqing Ma; Zhiying Lu; Bo Wang; Haoyang Huang; Jianlong Yuan; Nan Duan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; auto-regressive; diffusion
2117	Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency Authors: Xiangyu Guo; Zhanqian Wu; Kaixin Xiong; Ziyang Xu; Lijun Zhou; Gangwei Xu; Shaoqing Xu; Haiyang Sun; BING WANG; Guang Chen; Hangjun Ye; Wenyu Liu; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: autonomous driving; driving scenario generation
2118	GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters Authors: Wanjia Zhao; Jiaqi Han; Siyi Gu; Mingjian Jiang; James Zou; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Equivatriance; Geometic
2119	GeoVideo: Introducing Geometric Regularization into Video Generation Model Authors: Yunpeng Bai; Shaoheng Fang; Chaohui Yu; Fan Wang; Qixing Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generation; Geometric Regularization; 3D/4D Generation
2120	Geometry of Decision Making in Language Models Authors: Abhinav Joshi; Divyanshu Bhatt; Ashutosh Modi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Intrinsic Dimension; Interpretability; Decision-Making; Reasoning
2121	Geometry-Aware Collaborative Multi-Solutions Optimizer for Model Fine-Tuning with Parameter Efficiency Authors: Van-Anh Nguyen; Trung Le; Mehrtash Harandi; Ehsan Abbasnejad; Thanh-Toan Do; Dinh Phung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: optimizer; PEFT; parameter efficience; fine-tuning; multiple solutions
2122	Geometry-Aware Edge Pooling for Graph Neural Networks Authors: Katharina Limbeck; Lydia Mezrag; Guy Wolf; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; graph pooling; metric space magnitude; geometric deep learning
2123	Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression Authors: Juan Chen; Honglin liu; Yingying Ao; Ting Zhang; Yan Huang; Xudong Liu; Biao Li; Jintao Fang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal large language models; Vision-Language Models
2124	Glocal Information Bottleneck for Time Series Imputation Authors: Jie Yang; Kexin Zhang; Guibin Zhang; Philip S. Yu; Kaize Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Imputation; Time Series Analysis; Information Bottleneck
2125	GoRA: Gradient-driven Adaptive Low Rank Adaptation Authors: haonan he; Peng Ye; Yuchen Ren; yuan yuan; LuyangZhou; ShucunJu; lei chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; LoRA; PEFT
2126	GoT: Unleashing Reasoning Capability of MLLM for Visual Generation and Editing Authors: Rongyao Fang; Chengqi Duan; Kun Wang; Linjiang Huang; Hao Li; Hao Tian; Shilin Yan; Weihao Yu; Xingyu Zeng; Jifeng Dai; Xihui Liu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning-based Visual Generation and Editing; MLLM
2127	Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics Authors: Indrashis Das; Mahmoud Safari; Steven Adriaensen; Frank Hutter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Learning; Activation Functions
2128	GradMetaNet: An Equivariant Architecture for Learning on Gradients Authors: Yoav Gelberg; Yam Eitan; Aviv Navon; Aviv Shamsian; Theo Putterman; Michael M. Bronstein; Haggai Maron Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Geometric Deep Learning; Equivariance; Weight Space Symmetries; Weight Space Learning; Learned Optimizers
2129	Gradient Multi-Normalization for Efficient LLM Training Authors: Meyer Scetbon; Chao Ma; Wenbo Gong; Edward Meeds Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Optimizer; Gradient; Normalization
2130	Gradient-Guided Epsilon Constraint Method for Online Continual Learning Authors: Song Lai; Changyi Ma; Fei Zhu; Zhe Zhao; Xi Lin; Gaofeng Meng; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Online Continual Learning; Multi-Objective Optimization
2131	Graph Diffusion that can Insert and Delete Authors: Matteo Ninniri; Marco Podda; Davide Bacciu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Generative Models; Deep Learning
2132	Graph Persistence goes Spectral Authors: Mattie Ji; Amauri H Souza; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: topological data analysis; graph neural networks; graph machine learning
2133	Graph Your Own Prompt Authors: Xi Ding; Lei Wang; Piotr Koniusz; Yongsheng Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph consistency regularization; neural network prompting; structured representation learning; semantic regularization; model-agnostic
2134	Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Authors: Haoyu Peter Wang; Peihao Wang; Mufei Li; Shikun Liu; Siqi Miao; Zhangyang Wang; Pan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Graph; Retrieval-augmented Generation; Structural Inductive Biases
2135	Graph-Theoretic Insights into Bayesian Personalized Ranking for Recommendation Authors: Kai Zheng; Jianxin Wang; Jinhui Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph self-supervised learning; Bayesian Personalized Ranking; latent hyperbolic geometry; loss function; Network geometry
2136	GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining Authors: Chunyu Wei; Wenji Hu; Xingjia Hao; Xin Wang; Yifan Yang; Yunhai Wang; Yang Tian; Yueguo Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Graph Analysis; Tool Learning
2137	GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation Authors: Zihao Guo; Qingyun Sun; Ziwei Zhang; Haonan Yuan; Huiping Zhuang; Xingcheng Fu; Jianxin Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Incremental Learning; Multi-Domain
2138	GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks Authors: Xingbo Fu; Zhenyu Lei; Zihan Chen; Binchi Zhang; Chuxu Zhang; Jundong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Prompt Learning
2139	Greed is Good: A Unifying Perspective on Guided Generation Authors: Zander W. Blasingame; Chen Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Flow matching; diffusion models; neural differential equations; guided generation; numerical methods; dynamical systems
2140	Group-Level Data Selection for Efficient Pretraining Authors: Zichun Yu; Fei Peng; Jie Lei; Arnold Overwijk; Wen-tau Yih; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Pre-training; Data Selection; Data Influence
2141	Group-in-Group Policy Optimization for LLM Agent Training Authors: Lang Feng; Zhenghai Xue; Tingcong Liu; Bo An Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Agent; Group-Based Reinforcement Learning
2142	GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Authors: Yue Liu; Shengfang Zhai; Mingzhe Du; Yulin Chen; Tri Cao; Hongcheng Gao; Cheng Wang; Xinfeng Li; Kun Wang; Junfeng Fang; Jiaheng Zhang; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Language Model; Guard Model; Reinforcement Learning; Large Reasoning Model
2143	Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment Authors: Pengfei Zhao; Rongbo Luan; Wei Zhang; Peng Wu; Sifeng He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Preference learning; Cross-modality retreival; fine-grained retrieval
2144	HAIF-GS: Hierarchical and Induced Flow-Guided Gaussian Splatting for Dynamic Scene Authors: Jianing Chen; Zehao Li; Yujun Cai; Hao Jiang; Chengxuan Qian; Juyuan Kang; Shuqin Gao; Honglong Zhao; Tianlu Mao; Yucheng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D dynamic reconstruction; computer vision
2145	HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs Authors: Saleh Ashkboos; Mahdi Nikdan; Soroush Tabesh; Roberto L. Castro; Torsten Hoefler; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Quantization; Rotation; Fine-tuning; Full Fine-tuning; PEFT
2146	HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts Authors: Neil He; Rishabh Anand; Hiren Madhu; Ali Maatouk; Smita Krishnaswamy; Leandros Tassiulas; Menglin Yang; Rex Ying Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; hyperbolic geometry; mixture-of-experts
2147	HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion Authors: Lin Wu; Zhixiang Chen; Jianglin Lan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Human-object motion generation; Interaction dynamics; Causal consistency
2148	HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation Authors: Xiaolong Xu; Xudong Zhao; Haolong Xiang; Xuyun Zhang; Wei Shen; Hongsheng Hu; Lianyong Qi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sequential Recommendation; Long-tail Problem; Transfer Learning
2149	Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning Authors: Tianyi Bai; Yuxuan Fan; Qiu Jiantao; Fupeng Sun; Jiayi Song; Junlin Han; Zichen Liu; Conghui He; Wentao Zhang; Binhang Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLMs
2150	Hankel Singular Value Regularization for Highly Compressible State Space Models Authors: Paul Schwerdtner; Jules Berman; Benjamin Peherstorfer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: state space models; sequence modeling; model reduction; model compression
2151	Hardware-aligned Hierarchical Sparse Attention for Efficient Long-term Memory Access Authors: Xiang Hu; Jiaqi Leng; Jun Zhao; Kewei Tu; Wei Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long-context modeling; language modeling; attention mechanism; sparse attention; RNN
2152	Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning Authors: Qitao Tan; Jun Liu; Zheng Zhan; Caiwen Ding; Yanzhi Wang; Xiaolong Ma; Jaewoo Lee; Jin Lu; Geng Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Memory-efficient fine-tuning; Zeroth-order optimization
2153	Harnessing the Universal Geometry of Embeddings Authors: Rishi Dev Jha; Collin Zhang; Vitaly Shmatikov; John Xavier Morris Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Embeddings; Text Embeddings; Representations; Representation Learning; Machine Learning; Security; Privacy
2154	Hawk: Leveraging Spatial Context for Faster Autoregressive Text-to-Image Generation Authors: Zhi-Kai Chen; Jun-Peng Jiang; Han-Jia Ye; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autoregressive image generation; Inference acceleration; Spatial speculative decoding
2155	HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation Authors: Ling Yang; Xinchen Zhang; Ye Tian; Shiyi Zhang; Chenming Shang; Minghao Xu; Wentao Zhang; Bin CUI Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unified Multimodal Understanding and Generation
2156	HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference Authors: Inho Jeong; Sunghyeon Woo; Sol Namkung; Dongsuk Jeon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; inference; long context; KV cache; flash cache; swapping; HiFC; DRAM-free; vLLM; paged attention; SSD; pSLC; GDS; cost efficiency
2157	HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance Authors: Jiazi Bu; Pengyang Ling; Yujie Zhou; Pan Zhang; Tong Wu; Xiaoyi Dong; Yuhang Zang; Yuhang Cao; Dahua Lin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: high-resolution generation; text-to-image generation
2158	HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts Authors: Yinuo Jiang; Yan Xiaodong; Keyan Ding; Deng Zhao; Lei Liang; Qiang Zhang; Huajun Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: OOD Robustness; Large Language Models; Parameter-Efficient Fine-Tuning; Mixture of Experts.
2159	Hierachical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM Authors: Yongqiang Yao; Jingru Tan; Kaihuan Liang; Feizhao Zhang; Jiahao Hu; Shuo Wu; Yazhe Niu; Ruihao Gong; Dahua Lin; Ningyi Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Learning; LLM; SFT; LongContext
2160	Hierarchical Information Aggregation for Incomplete Multimodal Alzheimer's Disease Diagnosis Authors: Chengliang Liu; Que Yuanxi; Qihao Xu; Yabo Liu; Jie Wen; Jinghua Wang; Xiaoling Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Incomplete Multimodal Learning; State Space Model; Alzheimer's Disease Diagnosis
2161	Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory Authors: Hanru Bai; Weiyang Ding; Difan Zou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: One-step Generation; Diffusion Models; Koopman Operators; Interpretable Image Synthesis
2162	Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems Authors: Saeed Amizadeh; Sara Abdali; Yinheng Li; Kazuhito Koishida Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention Mechanism; Transformers; Hierarchical Data; Multi-modal Data; Geometric Deep Learning
2163	High-Order Flow Matching: Unified Framework and Sharp Statistical Rates Authors: Maojiang Su; Jerry Yao-Chieh Hu; Yi-Chen Lee; Ning Zhu; Jui-Hui Chung; Shang Wu; Zhao Song; Minshuo Chen; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Flow Matching; Generative Model; Generative AI; Minimax Optimal
2164	Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings Authors: Raphaël Pellegrin; Lukas Fesser; Melanie Weber Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Relational Learning; Hypergraph Neural Networks; Discrete Curvature
2165	Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models Authors: Quntian Fang; Zhen Huang; Zhiliang Tian; Minghao Hu; Dongsheng Li; Yiping Yao; Xinyue Fang; Menglong Lu; Guotong Geng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Hippocampal Mechanisms; Machine Unlearning; Catastrophic Forgetting; Hallucination Mitigation; Long-term Editing Memory
2166	HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models Authors: Haoran Li; Yingjie Qin; Baoyuan Ou; Lai Xu; Ruiwen Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long Context; Position Embedding; Vision-Language Models; Transformers
2167	HoliTom: Holistic Token Merging for Fast Video Large Language Models Authors: Kele Shao; Keda TAO; Can Qin; Haoxuan You; Yang Sui; Huan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video LLMs; Token Compression; Video Understanding
2168	Holistic Order Prediction in Natural Scenes Authors: Pierre Musacchio; Hyunmin Lee; Jaesik Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scene Understanding; Scene Geometry; Occlusion; Depth; Orderings
2169	HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning Authors: Chuhao Zhou; Jianfei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Human Sensing and Reasoning; IoT Sensors
2170	HoloScene: Simulation‑Ready Interactive 3D Worlds from a Single Video Authors: Hongchi Xia; Chih-Hao Lin; Hao-Yu Hsu; Quentin Leboutet; Katelyn Gao; Michael Paulitsch; Benjamin Ummenhofer; Shenlong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: computer vision; digital twin; simulation
2171	Homogeneous Keys, Heterogeneous Values: Exploiting Local KV Cache Asymmetry for Long-Context LLMs Authors: Wanyun Cui; Mingwei Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; long context
2172	How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning Authors: Haotian Gao; Zheng Dong; Jiawei Yong; Shintaro Fukushima; Kenjiro Taura; Renhe Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spatio-Temporal Forecasting; Deviation Learning
2173	How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degrada… Authors: Xin Lu; Yanyan Zhao; Si Wei; Shijin Wang; Bing Qin; Ting Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Pre-trained Language Models; Base Capabilities; Sequence Modeling
2174	How Far Are We from Optimal Reasoning Efficiency? Authors: Jiaxuan Gao; Shu Yan; Qixin Tan; lu Yang; Shusheng Xu; Wei Fu; Zhiyu Mei; Kaifeng Lyu; Yi Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Effiicent Reasoning; Large Reasoning Models; Reinforcement Learning for Reasoning
2175	How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need? Authors: Tuan Anh Tran; Duy Minh Ho Nguyen; Hoai-Chau Tran; Michael Barz; Khoa D Doan; Roger Wattenhofer; Vien Anh Ngo; Mathias Niepert; Daniel Sonntag; Paul Swoboda Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: point cloud representation; token merging; transformer models
2176	How Particle System Theory Enhances Hypergraph Message Passing Authors: Yixuan Ma; Kai Yi; Pietro Lio; Shi Jin; Yu Guang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hypergraph message passing; Hypergraph neural networks
2177	How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation Authors: Yang Zhao; Pu Wang; Hao Frank Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Prompt Optimization; Expert Knowledge Integration; Task-adaptive Prompting
2178	How to Train Your LLM Web Agent: A Statistical Diagnosis Authors: Dheeraj Vattikonda; Santhoshi Ravichandran; Emiliano Penaloza; Hadi Nekoei; Thibault Le Sellier de Chezelles; Megh Thakkar; Nicolas Gontier; Miguel Muñoz-Mármol; Sahar Omidi Shaye… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM agents; interactive tasks; MDP; reinforcement learning; reproducibility; compute allocation; generalization; statistical analysis; hyperparameters; curricu…
2179	How to build a consistency model: Learning flow maps via self-distillation Authors: Nicholas Matthew Boffi; Michael Samuel Albergo; Eric Vanden-Eijnden Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: consistency models; diffusion models; stochastic interpolants; flow matching
2180	HubGT: Fast Graph Transformer with Decoupled Hierarchy Labeling Authors: Ningyi Liao; Zihao Yu; Siqiang Luo; Gao Cong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph neural networks; Graph Transformer; Shortest Path Distance
2181	Human-assisted Robotic Policy Refinement via Action Preference Optimization Authors: Wenke Xia; Yichu Yang; Hongtao Wu; Xiao Ma; Tao Kong; Di Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: interactive imitation learning; robotic manipulaiton; preference alignment optimization
2182	HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning Authors: Zhi Jing; Siyuan Yang; Jicong Ao; Ting Xiao; Yu-Gang Jiang; Chenjia Bai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Bimanual Manipulation; Dexterous Manipulation; Humanoid Robots; LLM Planning
2183	Hybrid Latent Reasoning via Reinforcement Learning Authors: Zhenrui Yue; Bowen Jin; Huimin Zeng; Honglei Zhuang; Zhen Qin; Jinsung Yoon; Lanyu Shang; Jiawei Han; Dong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Latent reasoning; hybrid reasoning; reinforcement learning
2184	HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization Authors: Zhijian Zhuo; Yutao Zeng; Ya Wang; Sijun Zhang; Xiaoqing Li; Jian Yang; zhou Xun; Jinwen Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: transformer; pre-training; large language models
2185	Hyperbolic Dataset Distillation Authors: Wenyuan Li; Guang Li; Keisuke Maeda; Takahiro Ogawa; Miki Haseyama Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dataset Distillation; Hyperbolic Space; Distribution Matching
2186	HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning Authors: Si Chen; Yifei Li; Richong Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: inductive reasoning; inductive logic; hypothesis generation; hypothesis confirmation
2187	IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation Authors: Zijie Lin; Yang Zhang; Xiaoyan Zhao; Fengbin ZHU; Fuli Feng; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Personalization; LLM-based Recommendation
2188	INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning Authors: Wujian Peng; Lingchen Meng; Yitong Chen; Yiweng Xie; Yang Liu; Tao Gui; Hang Xu; Xipeng Qiu; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal models; instruction tuning; fine-grained understanding
2189	IllumiCraft: Unified Geometry and Illumination Diffusion for Controllable Video Generation Authors: Yuanze Lin; Yi-Wen Chen; Yi-Hsuan Tsai; Ronald Clark; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Model; Video Generation
2190	Image Token Matters: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing Authors: Weixing Wang; Zifeng Ding; Jindong Gu; RUI CAO; Christoph Meinel; Gerard de Melo; Haojin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Hallucination
2191	Impact of Layer Norm on Memorization and Generalization in Transformers Authors: Rishi Singhal; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Memorization; Generalization; Transformer; Layer Norm
2192	Implicit Modeling for Transferability Estimation of Vision Foundation Models Authors: Yaoyan Zheng; Huiqun Wang; Nan Zhou; Di Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transferability Estimation; Model Selection
2193	Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Authors: Bo Wang; Qinyuan Cheng; Runyu Peng; Rong Bao; Peiji Li; Qipeng Guo; Linyang Li; Zhiyuan Zeng; Yunhua Zhou; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Natural Language Processing; Large Language Model; Reinforcement Learning; Markov Decision Processes; Post-training
2194	Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay Authors: Yifan Sun; Jingyan Shen; Yibin Wang; Tianyu Chen; Zhendong Wang; Mingyuan Zhou; Huan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Efficiency; Online Data Selection; Experience Replay; Reinforcement Learning; Large Language Model
2195	Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Linear Extrapolation Authors: Jiawei Zhang; Ziyuan Liu; Leon Yan; Gen Li; Yuantao Gu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inverse problem; diffusion model; few-step; high order solver
2196	Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads Authors: Zhoutong Wu; Yuan Zhang; Yiming Dong; Chenheng Zhang; Cong Fang; Kun Yuan; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer architecture; representation; KV cache; skip connections
2197	Improving Progressive Generation with Decomposable Flow Matching Authors: Moayed Haji-Ali; Willi Menapace; Ivan Skorokhodov; Arpit Sahni; Sergey Tulyakov; Vicente Ordonez; Aliaksandr Siarohin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image generation; video generation; diffusion models
2198	Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning Authors: Yiqun Chen; Lingyong Yan; Weiwei Sun; Xinyu Ma; Yi Zhang; Shuaiqiang Wang; Dawei Yin; Yiming Yang; Jiaxin Mao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Multi-Agent Cooperation; Multi-Agent Reinforcement Learning; Multi-Module Joint Learning
2199	Improving Video Generation with Human Feedback Authors: Jie Liu; Gongye Liu; Jiajun Liang; Ziyang Yuan; Xiaokun Liu; Mingwu Zheng; Xiele Wu; Qiulin Wang; Menghan Xia; Xintao Wang; Xiaohong Liu; Fei Yang; Pengfei Wan; Di ZHANG; Kun Gai;… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; human feedback; flow matching
2200	Improving the Euclidean Diffusion Generation of Manifold Data by Mitigating Score Function Singularity Authors: Zichen Liu; Wei Zhang; Tiejun Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; submanifold; score function; singularity
2201	Improving the Straight-Through Estimator with Zeroth-Order Information Authors: Ningfeng Yang; Tor M. Aamodt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: quantization; straight-through estimator; quantization-aware training
2202	In-Context Learning of Stochastic Differential Equations with Foundation Inference Models Authors: Patrick Seifner; Kostadin Cvejoski; David Berghaus; Cesar Ojeda; Ramses J Sanchez Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: SDE inference; equation discovery; zero-shot inference; in-context learning; zero-shot parameter estimation; inference of diffusion process; stochastic differe…
2203	Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning Authors: Xiaoxue Cheng; Junyi Li; Zhenduo Zhang; Xinyu Tang; Xin Zhao; XinYu KONG; Zhiqiang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Slow Thinking; System Switch; Large Reasoning Model
2204	Incentivizing LLMs to Self-Verify Their Answers Authors: Fuxiang Zhang; Jiacheng Xu; Chaojie Wang; Ce Cui; Yang Liu; Bo An Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model; math reasoning; reinforcement learning
2205	Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models Authors: Yulei Qin; Gang Li; Zongyi Li; Zihan Xu; Yuchen Shi; Zhekai Lin; Xiao Cui; Ke Li; Xing Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: instruction following; large language model; reasoning
2206	Inference-Time Hyper-Scaling with KV Cache Compression Authors: Adrian Łańcucki; Konrad Staniszewski; Piotr Nawrot; Edoardo Ponti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reasoning; inference scaling; KV cache compression; token eviction; large language model
2207	Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget Forcing Authors: Jaihoon Kim; TaeHoon Yoon; Jisung Hwang; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Inference-time scaling; flow model; reward alignment
2208	Inference-time Alignment in Continuous Space Authors: Yige Yuan; Teng Xiao; Li Yunfan; Bingbing Xu; Shuchang Tao; Yunqi Qiu; Huawei Shen; Xueqi Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Alignment
2209	InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Authors: Yuanyi Wang; Zhaoyi Yan; Yiming Zhang; Qi Zhou; Yanggan Gu; Fei Wu; Hongxia Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Fusion; LLM
2210	InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding Authors: Minsoo Kim; Kyuhong Shim; Jungwook Choi; Simyung Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV-cache; VLM; Long context; Streaming Video Understanding; Memory-Efficient Inference
2211	Infinite-Width Limit of a Single Attention Layer: Analysis via Tensor Programs Authors: Mana Sakai; Ryo Karakida; Masaaki Imaizumi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: attention mechanism; infinite-width; tensor programs; limit distribution
2212	Influence Functions for Edge Edits in Non-Convex Graph Neural Networks Authors: Jaeseung Heo; Kyeongheung Yun; Seokwon Yoon; MoonJeong Park; Jungseul Ok; Dongwoo Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: influence function; transductive node classification
2213	Influence Guided Context Selection for Effective Retrieval-Augmented Generation Authors: Jiale Deng; Yanyan Shen; Ziyuan Pei; Youmin Chen; Linpeng Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Data Selection
2214	Information Theoretic Learning for Diffusion Models with Warm Start Authors: Yirong Shen; Lu GAN; Cong Ling Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; Additive noise; relative Fisher information; density estimation; likelihood; diffusion models
2215	Information-Theoretic Reward Decomposition for Generalizable RLHF Authors: Liyuan Mao; Haoran Xu; Amy Zhang; Weinan Zhang; Chenjia Bai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Reward Learning; Large Language Models
2216	Informed Correctors for Discrete Diffusion Models Authors: Yixiu Zhao; Jiaxin Shi; Feng Chen; Shaul Druckmann; Lester Mackey; Scott Linderman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete diffusion; diffusion models; generative models; transformers; predictor corrector sampling; Gibbs sampling
2217	InstanceAssemble: Layout-Aware Image Generation via Instance Assembling Attention Authors: Qiang Xiang; Shuang Sun; Binglei Li; Dejia Song; Huaxia Li; Nemo Chen; Xu Tang; Yao Hu; Junping Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Text to Image; Latent Diffusion Model; Layout to Image
2218	Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models Authors: Haoyi Song; Ruihan Ji; Naichen Shi; Fan Lai; Raed Al Kontar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Uncertainty Quantification; Probabilistic Modeling; Random Walks; Perturbations; Large Language Models
2219	InvFusion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems Authors: Noam Elata; Hyungjin Chung; Jong Chul Ye; Tomer Michaeli; Michael Elad Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Restoration; Inverse-Problem Solving; Diffusion Models
2220	Investigating Hallucinations of Time Series Foundation Models through Signal Subspace Analysis Authors: Yufeng Zou; Zijian Wang; Diego Klabjan; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: foundation models; hallucinations; time series forecasting
2221	Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning Authors: Yuxuan Zhou; Xien Liu; Xiao Zhang; Chen Ning; Shijin Wang; Guoping Hu; Ji Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Medical Knowledge Injection; Catastrophic Forgetting
2222	Irrational Complex Rotations Empower Low-bit Optimizers Authors: Zhen Tian; Xin Zhao; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Irrational Complex Rotation; Training-oriented Quantization; Memory-efficient Optimization
2223	Is Your Diffusion Model Actually Denoising? Authors: Daniel Pfrommer; Zehao Dou; Christopher Scarvelis; Max Simchowitz; Ali Jadbabaie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion; inductive biases; science of ml
2224	Iterative Foundation Model Fine-Tuning on Multiple Rewards Authors: Pouya M. Ghari; simone sciabola; Ye Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model Fine-Tuning; RLHF; Drug Discovery
2225	Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Authors: Zhengliang Shi; Lingyong Yan; Dawei Yin; Suzan Verberne; Maarten de Rijke; Zhaochun Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: information retrieval; large language model; retrieval-augmented generation
2226	JAFAR: Jack up Any Feature at Any Resolution Authors: Paul Couairon; Loick Chambon; Louis Serrano; Jean-Emmanuel HAUGEARD; Matthieu Cord; Nicolas THOME Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Feature Upsampling; Dense Vision Tasks
2227	Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search Authors: Yuxian Gu; Qinghao Hu; Haocheng Xi; Junyu Chen; Shang Yang; Song Han; Han Cai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: efficient language model
2228	Joint Relational Database Generation via Graph-Conditional Diffusion Models Authors: Mohamed Amine Ketata; David Lüdke; Leo Schwinn; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: relational databases; tabular data; generative models; diffusion models; graph neural networks; graph generation
2229	Jury-and-Judge Chain-of-Thought for Uncovering Toxic Data in 3D Visual Grounding Authors: Kaixiang Huang; Qifeng Zhang; Jin Wang; Jingru Yang; Yang Zhou; Huan Yu; Guodong Lu; Shengfeng He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Chain-of-Thought; 3D Vision Grounding; LLM-as-a-Judge
2230	Just One Layer Norm Guarantees Stable Extrapolation Authors: Juliusz Ziomek; George Whittle; Michael A Osborne Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural networks; layer normalisation; extrapolation; neural tangent kernel
2231	KL Penalty Control via Perturbation for Direct Preference Optimization Authors: Sangkyu Lee; Janghoon Han; Hosung Song; Stanley Jungkyu Choi; Honglak Lee; Youngjae Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Direct Alignment Algorithm; Reinforcement Learning from Human Feedback; Human Preference; LLM; Alignment
2232	KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems Authors: Hancheng Ye; Zhengqi Gao; Mingyuan Ma; Qinsi Wang; Yuzhe Fu; Ming-Yu Chung; Yueqian Lin; Zhijian Liu; Jianyi Zhang; Danyang Zhuo; Yiran Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM-based Multi-agent System; KV-cache reuse; Multi-context Agent Communication
2233	KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse Authors: Jingbo Yang; Bairu Hou; Wei Wei; Yujia Bao; Shiyu Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Retrieval-Augmented Generation; Efficiency
2234	KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing Authors: Wudi Chen; Zhiyuan Zha; Shigang Wang; Bihan Wen; Xin Yuan; Jiantao Zhou; zipei fan; Gang Yan; Ce Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Radiance Fields; Local Color Editing; Kolmogorov-Arnold Networks
2235	Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration Authors: Yuyang Hu; Kangfu Mei; Mojtaba Sahraee-Ardakan; Ulugbek S. Kamilov; Peyman Milanfar; Mauricio Delbracio Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Model; Image Restoration; Image Processing
2236	KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments Authors: Junyoung Park; Dalton Jones; Matthew J Morse; Raghavv Goel; Mingu Lee; Christopher Lott Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM; Key-Value Cache; KV Cache; KV Cache Eviction; Token Eviction; Efficient LLM Inference
2237	Kinetics: Rethinking Test-Time Scaling Law Authors: Ranajoy Sadhukhan; Zhuoming Chen; Haizhong Zheng; Beidi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scaling law; test-time scaling; sparsity
2238	Know What You Don't Know: Uncertainty Calibration of Process Reward Models Authors: Young-Jin Park; Kristjan Greenewald; Kaveh Alim; Hao Wang; Navid Azizan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: process reward model; calibration; inference-time-scaling; instance-adaptive scaling
2239	Knowing When to Stop: Efficient Context Processing via Latent Sufficiency Signals Authors: Roy Xie; Junlin Wang; Paul Rosu; Chunyuan Deng; Bolun Sun; Zihao Lin; Bhuwan Dhingra Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; efficiency; context processing; context compression
2240	Knowledge Distillation of Uncertainty using Deep Latent Factor Model Authors: Sehyun Park; Jongjin Lee; Yunseop Shin; Ilsang Ohn; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Deep Ensemble; Deep Latent Factor; Gaussian Process
2241	Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning Authors: Xusheng Cao; Haori Lu; Linlan Huang; Fei Yang; Xialei Liu; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: continual learning; knowledge graph
2242	Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering Authors: Yuyang Hong; Jiaqi Gu; Qi Yang; Lubin Fan; Yue Wu; Ying Wang; Kun Ding; Shiming Xiang; Jieping Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge-based Visual Question Answering; Retrieval-Augmented Generation
2243	Kuramoto Orientation Diffusion Models Authors: Yue Song; T. Anderson Keller; Sevan Brodjian; Takeru Miyato; Yisong Yue; Pietro Perona; Max Welling Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; phase synchronization; neural oscillations
2244	L$^2$M: Mutual Information Scaling Law for Long-Context Language Modeling Authors: Zhuo Chen; Oriol Mayné i Comas; Zhuotao Jin; Di Luo; Marin Soljacic Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; information theory; mutual information; predictive information; large language models; long context length modeling; long-range dependence; sc…
2245	L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models Authors: Xiaohao Liu; Xiaobo Xia; Weixiang Zhao; Manyi Zhang; Xianzhi Yu; Xiu Su; Shuo Yang; See-Kiong Ng; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; multi-token prediction; inference acceleration
2246	LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits Authors: Duy Nguyen; Archiki Prasad; Elias Stengel-Eskin; Mohit Bansal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reward models; bandit; instruction following; reasoning; LLM alignment
2247	LBMKGC: Large Model-Driven Balanced Multimodal Knowledge Graph Completion Authors: Yuan Guo; Qian Ma; Hui Li; Qiao Ning; Furui Zhan; Yu Gu; Ge Yu; Shikai Guo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal Knowledge Graphs; Knowledge Graph Completion; Cross-modal Interaction; Large Vision-Language Model
2248	LD-RoViS: Training-free Robust Video Steganography for Deterministic Latent Diffusion Model Authors: Xiangkun Wang; Kejiang Chen; Lincong Li; Weiming Zhang; Nenghai Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video steganography; latent diffusion model
2249	LILO: Learning to Reason at the Frontier of Learnability Authors: Thomas Foster; Anya Sims; Johannes Forkel; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: llm reasoning; reasoning; reinforcement learning; curriculum learning; unsupervised environment design
2250	LLM Interpretability with Identifiable Temporal-Instantaneous Representation Authors: Xiangchen Song; Jiaqi Sun; Zijian Li; Yujia Zheng; Kun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: identifiability; causal representation learning; large language models; interpretability
2251	LLM Layers Immediately Correct Each Other Authors: Arjun Patrawala; Jiahai Feng; Erik Jones; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; correction; self-repair
2252	LLM Safety Alignment is Divergence Estimation in Disguise Authors: Rajdeep Haldar; Ziyi Wang; Guang Lin; Yue Xing; Qifan Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Theory; Safety Alignment; RLHF; Divergence Estimation
2253	LLM at Network Edge: A Layer-wise Efficient Federated Fine-tuning Approach Authors: Jinglong Shen; Nan Cheng; Wenchao Xu; Haozhao Wang; Yifan Guo; Jiajie Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated learning; large language model; fine-tuning
2254	LLM-DAMVC: A Large Language Model Assisted Dynamic Agent for Multi-View Clustering Authors: HaiMing Xu; Qianqian Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-View Clustering
2255	LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding Authors: Yuchen Ma; Dennis Frauen; Jonas Schweisthal; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Treatment Effect Estimation; LLMs; Text Confounding; Causal Inference; CATE; Doubly Robust
2256	LLMs Encode Harmfulness and Refusal Separately Authors: Jiachen Zhao; Jing Huang; Zhengxuan Wu; David Bau; Weiyan Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; Interpretability; AI safety
2257	LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups Authors: Masih Aminbeidokhti; Subhankar Roy; Eric Granger; Elisa Ricci; Marco Pedersoli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: imbalance classification; foundational model; fine-tuning; model merging
2258	LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities Authors: Florian Sestak; Artur P. Toshev; Andreas Fürst; Günter Klambauer; Andreas Mayr; Johannes Brandstetter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; flow-matching; latent space models; latent diffusion models; dynamical systems; simulation; generative modeling; molecular dynamics; unified…
2259	LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing Authors: Ruijie ZHANG; Ziyue Liu; Zhengyang Wang; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Pre-training; Efficient Fine-tuning; Adapters; Low-rank Training; Vision Transformers; Large Language Models
2260	Language Model Behavioral Phases are Consistent Across Architecture, Training Data, and Scale Authors: James A. Michaelov; Roger P. Levy; Ben Bergen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; training dynamics; n-grams; semantic similarity; heuristics; shortcuts
2261	Language Models Can Predict Their Own Behavior Authors: Dhananjay Ashok; Jonathan May Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: foundation models; Large Language Models; LLMs; Natural Language Processing; NLP
2262	Language Ranker: A Lightweight Ranking framework for LLM Decoding Authors: Chenheng Zhang; Tianqi Du; Jizhe Zhang; Mingqing Xiao; Yifei Wang; Yisen Wang; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language model; recommender system; inference-time computing
2263	Large Language Models as End-to-end Combinatorial Optimization Solvers Authors: Xia Jiang; Yaoxin Wu; Minshuo Li; Zhiguang Cao; Yingqian Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Combinatorial Optimization; Reinforcement Learning
2264	Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need Authors: Kecheng Chen; Pingping Zhang; Hui Liu; Jie Liu; Yibing Liu; Jiaxin Huang; Shiqi Wang; Hong Yan; Haoliang Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: lossless image compression; large language model
2265	Large language models can learn and generalize steganographic chain-of-thought under process supervision Authors: Robert McCarthy; Joey SKAF; Luis Ibanez-Lissen; Vasil Georgiev; Connor Watts; Hannes Whittingham; Lorena Gonzalez-Manzano; Cameron Tice; Edward James Young; Puria Radmard; David L… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: AI Safety; AI Control; Steganography; Encoded Reasoning; Chain-of-Thought; Reinforcement Learning; LLMs
2266	Latent Chain-of-Thought for Visual Reasoning Authors: Guohao Sun; Hang Hua; Jian Wang; Jiebo Luo; Sohail Dianat; MAJID RABBANI; Raghuveer Rao; Zhiqiang Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision-language model; reasoning; variational inference
2267	Latent Harmony: Synergistic Unified UHD Image Restoration via Latent Space Regularization and Controllable Refinement Authors: Yidi Liu; Xueyang Fu; Jie Huang; Jie Xiao; Dong Li; Wenlong Zhang; LEI BAI; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Ultra-high-definition; Latent Regularization; Image Restoration; Fidelity-Perception Trade-off
2268	Latent Principle Discovery for Language Model Self-Improvement Authors: Keshav Ramji; Tahira Naseem; Ramón Fernandez Astudillo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: self-improvement; language models; self-correction; principles; latent chain-of-thought
2269	Latent Space Factorization in LoRA Authors: Shashi Kumar; Yacouba Kaloga; John Mtr.; Petr Motlicek; Ina Kodrasi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: low-rank adaptation; latent space factorization; spurious correlation robustness; fvae-lora
2270	Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation Authors: Fei Wang; Li Shen; Liang Ding; Chao Xue; Ye Liu; Changxing Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Structured Pruning; Post Training
2271	Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning Authors: Jisoo Kim; Sungmin Kang; Sunwoo Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated learning; update recycling; communication-efficient
2272	LayerIF: Estimating Layer Quality for Large Language Models using Influence Functions Authors: Hadi Askari; Shivanshu Gupta; Fei Wang; Anshuman Chhabra; Muhao Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Influence Functions; Layer Training Quality Estimation; Model Pruning; Mixture of Experts
2273	LayerNavigator: Finding Promising Intervention Layers for Efficient Activation Steering in Large Language Models Authors: Hao Sun; Huailiang Peng; Qiong Dai; Xu Bai; Yanan Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Activation Steering; Behavior Alignment
2274	Learn2Mix: Training Neural Networks Using Adaptive Data Integration Authors: Shyam Venkatasubramanian; Vahid Tarokh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: adaptive training; deep learning; optimization
2275	Learned Prefix Caching for Efficient LLM Inference Authors: Dongsheng Yang; Austin Li; Kai Li; Wyatt Lloyd Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model inference; prefilling; prefix caching; learned caching algorithm
2276	Learning CAD Modeling Sequences via Projection and Part Awareness Authors: Yang Liu; Daxuan Ren; Yijie Ding; Jianmin Zheng; Fang Deng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Computer-Aided Design; Modeling Sequence Generation; Semi-Autoregressive; Part Awareness; Triplane Projection
2277	Learning Diffusion Models with Flexible Representation Guidance Authors: Chenyu Wang; Cai Zhou; Sharut Gupta; Zongyu Lin; Stefanie Jegelka; Stephen Bates; Tommi Jaakkola Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Representation Learning; Image Generation; Biomolecule Generation; Theoretical Analysis of Generative Model
2278	Learning Generalizable Shape Completion with SIM(3) Equivariance Authors: Yuqing Wang; Zhaiyu Chen; Xiao Xiang Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Shape completion; Point cloud completion; Equivariance; Generalizability; 3D representation
2279	Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression Authors: Xi Zhang; Xiaolin Wu; Jiamang Wang; Weisi Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM compression; lattice vector quantization
2280	Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift Authors: Yanru Sun; Zongxia Xie; Emadeldeen Eldele; Dongyue Chen; Qinghua Hu; Min Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series forecasting; Pattern recognition; Distribution shift
2281	Learning Task-Agnostic Representations through Multi-Teacher Distillation Authors: Philippe Formont; Maxime DARRIN; Banafsheh Karimian; Eric Granger; Jackie CK Cheung; Ismail Ben Ayed; Mohammadhadi Shateri; Pablo Piantanida Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: molecular representation; nlp; knowledge distillation; embedding models; representation learning
2282	Learning World Models for Interactive Video Generation Authors: Taiye Chen; Xun Hu; Zihan Ding; Chi Jin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: world model; diffusion model; video generation
2283	Learning from Videos for 3D World: Enhancing MLLMs with 3D Vision Geometry Priors Authors: Duo Zheng; Shijia Huang; Yanyang Li; Liwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; 3D Scene Understanding; Spatial Reasoning
2284	Learning in Compact Spaces with Approximately Normalized Transformer Authors: Jörg K.H. Franke; Urs Spiegelhalter; Marianna Nezhurina; Jenia Jitsev; Frank Hutter; Michael Hefenbrock Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Learning; Transformer; GPT; Normalization; Regularization
2285	Learning to Better Search with Language Models via Guided Reinforced Self-Training Authors: Seungyong Moon; Bumsoo Park; Hyun Oh Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: learning to search; self-improvement; reinforcement learning
2286	Learning to Focus: Causal Attention Distillation via Gradient‐Guided Token Pruning Authors: Yiju Guo; Wenkai Yang; Zexu Sun; Ning Ding; Zhiyuan Liu; Yankai Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Spurious Correlations; Long-Context Reasoning; Model Interpretability; Large Language Models
2287	Learning to Generalize: An Information Perspective on Neural Processes Authors: Hui Li; Huafeng Liu; Shuyang Lin; Jingyue Shi; Yiran Fu; Liping Jing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Processes; Information-Theoretic; Generalization
2288	Learning to Instruct for Visual Instruction Tuning Authors: Zhihan Zhou; Feng Hong; Jiaan Luo; Yushi Ye; Jiangchao Yao; Dongsheng Li; Bo Han; Ya Zhang; Yanfeng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Instruction Tuning; Multimodal Large Language Models
2289	Learning to Integrate Diffusion ODEs by Averaging the Derivatives Authors: Wenze Liu; Xiangyu Yue Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; diffusion models
2290	Learning to Reason under Off-Policy Guidance Authors: Jianhao Yan; Yafu Li; Zican Hu; Zhi Wang; Ganqu Cui; Xiaoye Qu; Yu Cheng; Yue Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning with verifiable rewards; off-policy guidance
2291	Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction Authors: Marzieh Ajirak; Oded Bein; Ellen Rose Bowen; Dora Kanellopoulos; Avital Falk; FAITH M. GUNNING; Nili Solomonov; Logan Grosenick Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal learning; multitask learning; adaptive routing; per-sample adaptation; heterogeneous data; clinical applications; routing networks
2292	Learning to Solve Complex Problems via Dataset Decomposition Authors: Wanru Zhao; Lucas Caccia; Zhengyan Shi; Minseon Kim; Weijia Xu; Alessandro Sordoni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; decomposition; math reasoning
2293	Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs Authors: Jingyao Wang; Wenwen Qiang; Zeen Song; Changwen Zheng; Hui Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Reinforcement Fine-Tuning; Process Reward Function
2294	Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization Authors: Chenrui Wang; Junyi Shu; Billy Chiu; YU LI; Saleh Alharbi; Min Zhang; Jing Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; watermark; Selective Watermarking; multi-objective optimization
2295	Learning “Partner-Aware” Collaborators in Multi-Party Collaboration Authors: Abhijnan Nath; Nikhil Krishnaswamy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: alignment; LLM agents; collaboration
2296	Less but More: Linear Adaptive Graph Learning Empowering Spatiotemporal Forecasting Authors: Jiaming Ma; Binwu Wang; Guanjun Wang; Kuo Yang; Zhengyang Zhou; Pengkun Wang; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spatiotemporal learning; Graph Representation Learning; Time Series; Deep Learning
2297	Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning Authors: Lifan Zhao; Yanyan Shen; Zhaoyang Liu; Xue Wang; Jiaji Deng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series forecasting
2298	Let LRMs Break Free from Overthinking via Self-Braking Tuning Authors: Haoran Zhao; Yuchen Yan; Yongliang Shen; Haolei Xu; Wenqi Zhang; Kaitao Song; Jian Shao; Weiming Lu; Jun Xiao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reasoning Models; Efficient Reasoning
2299	Let Me Think! A Long Chain of Thought Can Be Worth Exponentially Many Short Ones Authors: Parsa Mirtaheri; Ezra Edelman; Samy Jelassi; Eran Malach; Enric Boix-Adserà Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reasoning; chain-of-thought; test-time scaling; large language models; transformers; expressivity
2300	Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Authors: Yi-Kai Zhang; Shiyin Lu; Qing-Guo Chen; Weihua Luo; De-Chuan Zhan; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Routing; Deep Learning
2301	Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Authors: Zhiyi Lyu; Jianguo Huang; Yanchen Deng; Steven Hoi; Bo An Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Code generation; Local Search
2302	LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders Authors: Boyu Han; Qianqian Xu; Shilong Bao; Zhiyong Yang; Kangli Zi; Qingming Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Text-to-image Diffusion Model; Fairness; Bias; Lightweight
2303	Limitations of Normalization in Attention Authors: Timur Mudarisov; Mikhail Burtsev; Tatiana Petrova; Radu State Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Theory verification; GPT-2; Attention mechanism; Natural Language Processing
2304	Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis Authors: Leitian Tao; Xuefeng Du; Sharon Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; reward modeling; latent space synthesis
2305	LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss Authors: Pau Rodriguez; Michal Klein; Eleonora Gualdoni; Valentino Maiorca; Arno Blaas; Luca Zappella; marco cuturi; Xavier Suau Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: controllability; generative models; toxicity; images
2306	Linear Attention for Efficient Bidirectional Sequence Modeling Authors: Arshia Afzal; Elias Abad Rocamora; Leyla Naz Candogan; Pol Puigdemont; Francesco Tonin; Yongtao Wu; Mahsa Shoaran; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer; RNN; Bidirectionality; SSM; Linear Attention; Inference; Training
2307	Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials Authors: Yifan Pu; Jixuan Ying; Qixiu Li; Tianzhu Ye; Dongchen Han; Xiaochen Wang; Ziyi Wang; Xinyu Shao; Gao Huang; Xiu Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision transformer; architecture design
2308	Linear Transformers Implicitly Discover Unified Numerical Algorithms Authors: Patrick Lutz; Aditya Gangrade; Hadi Daneshmand; Venkatesh Saligrama Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: in-context learning; transformers; generalization; matrix completion
2309	Linearization Explains Fine-Tuning in Large Language Models Authors: Zahra Rahimi Afzal; Tara Esmaeilbeig; Mojtaba Soltanalian; Mesrob I Ohannessian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-tuning; LLMs; Neural Tangent Kernel; Linearization; Low Rank Adaptation
2310	Linearly Constrained Diffusion Implicit Models Authors: Vivek Jayaram; Ira Kemelmacher-Shlizerman; Steve Seitz; John Thickstun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Inverse Problems; Optimization; Projection
2311	Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction Authors: Hongtao Huang; Chengkai Huang; Junda Wu; Tong Yu; Julian McAuley; Lina Yao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: User Behavior Prediction; Diffusion Models
2312	LittleBit: Ultra Low-Bit Quantization via Latent Factorization Authors: Banseok Lee; Dongkyu Kim; Youngcheon you; Young-Min Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language models; Low-bit quantization; Low-rank factorization; Sub-1-bit model compression; Binarization
2313	LoRA vs Full Fine-tuning: An Illusion of Equivalence Authors: Reece S Shuttleworth; Jacob Andreas; Antonio Torralba; Pratyusha Sharma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter Efficient Fine-tuning (PEFT); Low Rank Adaptation (LoRA); LLMs; Transformers
2314	LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades Authors: Yanan Li; Fanxu Meng; Muhan Zhang; Shiai Zhu; Shangguang Wang; Mengwei Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Upgrades; LoRA Adaptation
2315	LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks Authors: Di Jin; Yuxiang Zhang; Bingdao Feng; Xiaobao Wang; Dongxiao He; Zhen Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: GNNs; Training-Time Defense; Backdoor Defense
2316	LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning Authors: Junyu Chen; Junzhuo Li; Zhen Peng; Wenjie Wang; Yuxiang Ren; Long Shi; Xuming Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quantization; Fine-Tuning; PEFT; Efficient LLMs
2317	LocDiff: Identifying Locations on Earth by Diffusing in the Hilbert Space Authors: Zhangyu Wang; Zeping Liu; Jielu Zhang; Zhongliang Zhou; Qian Cao; Nemin Wu; Lan Mu; Yang Song; Yiqun Xie; Ni Lao; Gengchen Mai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image geo-localization; location encoding; diffusion
2318	Localizing Knowledge in Diffusion Transformers Authors: Arman Zarei; Samyadeep Basu; Keivan Rezaei; Zihao Lin; Sayan Nag; Soheil Feizi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Localization; Interpretability; Diffusion Models; Diffusion Transformers
2319	Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization Authors: Arie Soeteman; Balder ten Cate Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Hybrid Logic; Individualization-Refinement
2320	LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Authors: Chaochen Gao; Xing W; Zijia Lin; Debing Zhang; Songlin Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long-context Model; Synthesis Data
2321	Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Authors: Van Yang; Zirui Liu; Hongye Jin; Qingyu Yin; Vipin Chaudhary; Xiaotian Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long Context Ability; LLM Reasoning
2322	LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision Authors: Anthony Fuller; Yousef Yassin; Junfeng Wen; Tarek Ibrahim; Daniel Kyrollos; James R Green; Evan Shelhamer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: deep learning; computer vision; adaptive computation
2323	Lookahead Routing for Large Language Models Authors: Canbin Huang; Tianyuan Shi; Yuhua Zhu; Ruijun Chen; Xiaojun Quan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Routing; Large Language Models
2324	Luminance-Aware Statistical Quantization: Unsupervised Hierarchical Learning for Illumination Enhancement Authors: Derong Kong; Zhixiong Yang; Shengxi Li; Shuaifeng Zhi; Li Liu; Zhen Liu; Jingyuan Xia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-light image enhancement; Luminance-aware statistical quantization; Hierarchical luminance adaptation; Diffusion model.
2325	MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Authors: Sanjoy Chowdhury; Mohamed Elmoghany; Yohan Abeysinghe; Junjie Fei; Sayan Nag; Salman Khan; Mohamed Elhoseiny; Dinesh Manocha Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Audio-visual learning; Audio-Visual RAG; Multi-Video Linkage
2326	MARS: A Malignity-Aware Backdoor Defense in Federated Learning Authors: Wei Wan; Ning Yuxuan; Zhicong Huang; Cheng Hong; Shengshan Hu; Ziqi Zhou; Yechao Zhang; Tianqing Zhu; Wanlei Zhou; Leo Yu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: federated learning; backdoor defense; backdoor attack
2327	MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Authors: Liang Yue; Yihong Tang; Kehai Chen; Jie Liu; Min Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 官方列表未公开
2328	MEgoHand: Multimodal Egocentric Hand-Object Interaction Motion Generation Authors: Bohan Zhou; Yi Zhan; Zhongbin Zhang; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Generation; Hand-Object Interaction
2329	MIDAS: Misalignment-based Data Augmentation Strategy for Imbalanced Multimodal Learning Authors: Seong-Hyeon Hwang; Soyoung Choi; Steven Euijong Whang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal learning; Data augmentation; Imbalanced Multimodal Learning
2330	MIP against Agent: Malicious Image Patches Hijacking Multimodal OS Agents Authors: Lukas Aichberger; Alasdair Paren; Guohao Li; Philip Torr; Yarin Gal; Adel Bibi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: OS; agents; LLM; VLM; api; tool use; adversarial attack; adversarial images; malicious image patches; MIP; robustness; safety; security; trustworthiness
2331	MLZero: A Multi-Agent System for End-to-end Machine Learning Automation Authors: Haoyang Fang; Boran Han; Nick Erickson; Xiyuan Zhang; Su Zhou; Anirudh Dagar; Jiani Zhang; Ali Caner Turkmen; Cuixiong Hu; Huzefa Rangwala; Ying Nian Wu; Bernie Wang; George Karyp… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: AutoML; Large Language Models; Multi-Agent Systems; End-to-End Machine Learning; Multimodal Learning; Code Generation
2332	MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Authors: Fan Liu; Zhe-Rui Yang; Cancheng Liu; Tianrui SONG; Xiaofeng Gao; Hao Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mathematical Modeling Agent; LLM Agent; LLM
2333	MMaDA: Multimodal Large Diffusion Language Models Authors: Ling Yang; Ye Tian; Bowen Li; Xinchen Zhang; Ke Shen; Yunhai Tong; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unified Diffusion Foundation Model; Reinforcement Learning; LLM Reasoning; Multimodal Understanding; Image Generation
2334	MODEL SHAPLEY: Find Your Ideal Parameter Player via One Gradient Backpropagation Authors: Xu Chu; Xinke Jiang; Rihong Qiu; Jiaran Gao; Junfeng Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Shapley; LLM
2335	MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation Authors: Zhenwen Liang; Linfeng Song; Yang Li; TAO YANG; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Theorem Proving; Large Language Model; Tree Search
2336	MRO: Enhancing Reasoning in Diffusion Language Models via Multi-Reward Optimization Authors: Chenglong Wang; Yang Gan; Hang Zhou; Chi Hu; Yongyu Mu; Kai Song; MuRun Yang; Bei Li; Chunliang Zhang; Tongran Liu; JingBo Zhu; Zhengtao Yu; Tong Xiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Model; Language Model; Reasoning; Diffusion Language Model; Reward Optimization
2337	MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks Authors: Wantong Xie; Yi-Xiang Hu; Jieyang Xu; Feng Wu; Xiangyang Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Optimization Modeling; Multi-Agent Systems; Knowledge Distillation
2338	Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation Authors: Weibin Liao; Tianlong Wang; Yinghao Zhu; Yasha Wang; Junyi Gao; Liantao Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Medical Lay Language Generation; Large Language Model; LoRA; PEFT
2339	Majority of the Bests: Improving Best-of-N via Bootstrapping Authors: Amin Rakhsha; Kanika Madan; Tianyu Zhang; Amir-massoud Farahmand; Amir Khasahmadi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: llms; test-time compute; best-of-n; bootstrap; inference-time computation
2340	Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Authors: Ming Gu; Zhuonan Zheng; Sheng Zhou; Meihan Liu; Jiawei Chen; Qiaoyu Tan; Liangcheng Li; Jiajun Bu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Heterophily; Varying Homophily; Message Passing; Graph Neural Networks; Oversmoothing
2341	Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation Authors: Szymon Plotka; Gizem Mert; Maciej Chrabaszcz; Ewa Szczurek; Arkadiusz Sitek Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mixture of experts; state-space models; segmentation; medical imaging
2342	Mamba Modulation: On the Length Generalization of Mamba Models Authors: Peng Lu; Jerry Huang; QIUHAO Zeng; Xinyu Wang; Boxing Chen; Philippe Langlais; Yufei Cui Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Length Generalization; Mamba; Efficient Method; State Space Models; Length Extrapolation; Calibration
2343	Masked Diffusion Models as Energy Minimization Authors: Sitong Chen; Shen Nie; Jiacheng Sun; Zijin Feng; Zhenguo Li; Ji-Rong Wen; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Masked Diffusion Models; Optimal Transport; Energy Minimization; Kinetic Energy; Few-Step Sampling
2344	Masked Gated Linear Unit Authors: Yukito Tajima; Nakamasa Inoue; Yusuke Sekikawa; Ikuro Sato; Rio Yokota Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Activation; Sparsity; GPUs; LLM training; LLM inference
2345	Matching Markets Meet LLMs: Algorithmic Reasoning with Ranked Preferences Authors: Hadi Hosseini; Samarth Khanna; Ronak Singh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Preference reasoning; matching markets; stability; comprehension
2346	Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs Authors: ChangHao Li; Yuchen Zhuang; Rushi Qiang; Haotian Sun; Hanjun Dai; Chao Zhang; Bo Dai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Black-Box LLMs; LLM Reasoning; LLM Planning; LLM Personalization
2347	Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models Authors: Zidi Xiong; Shan Chen; Zhenting Qi; Himabindu Lakkaraju Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; CoT Faithfulness; Reasoning
2348	Memorization in Graph Neural Networks Authors: Adarsh Jamadandi; Jing Xu; Adam Dziedzic; Franziska Boenisch Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; memorization; node classification; homophily
2349	Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models Authors: Jiaqi Cao; Jiarui Wang; Rubin Wei; Qipeng Guo; Kai Chen; Bowen Zhou; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; domain adaptation; retrieval-augmented generation
2350	Memory-Efficient Training with In-Place FFT Implementation Authors: Xinyu Ding; Bangtian Liu; Siyu Liao; Zhongfeng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: FFT; Inplace; Memory
2351	Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Authors: Kunjun Li; Zigeng Chen; Cheng-Yen Yang; Jenq-Neng Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Autoregressive Modeling，Image Generation，Efficiency
2352	Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks Authors: Susmit Agrawal; Krishn Vishwas Kher; Saksham Mittal; Swarnim Maheshwari; Vineeth N. Balasubramanian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Associative Memories; Domain Generalization; Continual Learning
2353	Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Authors: Anke Tang; Enneng Yang; Li Shen; Yong Luo; Han Hu; Lefei Zhang; Bo Du; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: model merging; continual learning; knowledge transfer
2354	MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds Authors: BingQuan Dai; Luo Li; Qihong Tang; Jie Wang; Xinyu Lian; Hao Xu; Minghan Qin; Xudong XU; Bo Dai; Haoqian Wang; Zhaoyang Lyu; Jiangmiao Pang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D reconstruction; point cloud; LLM
2355	MetaDefense: Defending Fine-tuning based Jailbreak Attack Before and During Generation Authors: Weisen Jiang; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: jailbreak attack
2356	MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning Authors: Hongjia Liu; Rongzhen Zhao; Haohan Chen; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Object-Centric Learning; Slot Attention; Unsupervised Learning; Vector Quantization; self-supervised learning
2357	MiCo: Multi-image Contrast for Reinforcement Visual Reasoning Authors: Xi Chen; Mingkang Zhu; Shaoteng Liu; Xiaoyang Wu; Xiaogang Xu; Yu Liu; Xiang Bai; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Reasoning; Chain-of-Thought; LLM; VLM; MLLM
2358	Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning Authors: Haolei Xu; Yuchen Yan; Yongliang Shen; Wenqi Zhang; Guiyang Hou; Shengpei Jiang; Kaitao Song; Weiming Lu; Jun Xiao; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reasoning Models; LLM Reasoning
2359	Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks Authors: Shakir Yousefi; Andreas Plesner; Till Aczel; Roger Wattenhofer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Logic gate; logic gate network; efficient training; Gumbel noise
2360	Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules Authors: Yueqi Zhang; Peiwen Yuan; Yiwei Li; Shaoxiong Feng; Xinglin Wang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: span-conditioned generation; quotation referencing; position-aware attention; adapters
2361	MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning Authors: Mircea Tudor Lică; Ojas Shirekar; Baptiste Colle; Chirag Raman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: lifelong learning; theory of mind; LLMs; cultural learning; in-context learning
2362	MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO Authors: Yicheng Xiao; Lin Song; Yukang Chen; Yingmin Luo; Yuxin Chen; Yukang Gan; Wei Huang; Xiu Li; XIAOJUAN QI; Ying Shan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unified MLLM; Reasoning Generation; Reinforcement Learning
2363	Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions Authors: Wenxuan Bao; Ruxi Deng; Jingrui He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision-language models; test-time adaptation
2364	Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning Authors: Chao-Chung Wu; Zhi Rui Tam; Chieh-Yen Lin; Yun-Nung Chen; Shao-Hua Sun; Hung-yi Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: perplexity; robustness; LLM-generated data; performance degradation; forgetting
2365	Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization Authors: Wenqi Liu; Xuemeng Song; Jiaxi Li; Yinwei Wei; Na Zheng; Jianhua Yin; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodel Large Language Model; Direct Preference Optimization; MLLM Alignment
2366	Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering Authors: Jianfeng Cai; Jiale Hong; Zongmeng Zhang; Wengang Zhou; zhannianji; Houqiang Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Hallucination; Activation Engineering
2367	Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models Authors: Xiwen Wei; Mustafa Munir; Radu Marculescu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual Learning; Multimodal Generative Models; Catastrophic Forgetting; Mixture of Experts (MoE); Knowledge Distillation
2368	Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework Authors: Chenghu Du; Shengwu Xiong; Junyin Wang; Yi Rong; Shili Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: virtual try-on; de-occlusion; diffusion models
2369	Mitigating Overthinking in Large Reasoning Models via Manifold Steering Authors: Yao Huang; Huanran Chen; Shouwei Ruan; Yichi Zhang; Xingxing Wei; Yinpeng Dong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reasoning Models; Overthinking; Mechanistic Interpretability; Manifold Steering
2370	Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling Authors: Nguyen Minh Phuc; Ngoc-Hieu Nguyen; Duy Minh Ho Nguyen; Anji Liu; An Mai; Binh T. Nguyen; Daniel Sonntag; Khoa D Doan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: direct preference optimization; human preference alignment; Regularization
2371	Mitigating Semantic Collapse in Partially Relevant Video Retrieval Authors: WonJun Moon; MinSeok Jung; Gilhan Park; Tae-Young Kim; Cheol-Ho Cho; Woojin Jun; Jae-Pil Heo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Partially Relevant Video Retrieval; Text-Video Retrieval
2372	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models Authors: Xiyuan Zhang; Danielle C. Maddix; Junming Yin; Nick Erickson; Abdul Fatir Ansari; Boran Han; Shuai Zhang; Leman Akoglu; Christos Faloutsos; Michael W. Mahoney; Cuixiong Hu; Huzefa… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tabular foundation model; synthetic priors
2373	Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Authors: Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen; Didi Zhu; Zhengyu Chen; Ziyu Zhao; Daixin Wang; Qing Cui; Zhiqiang Zhang; JUN ZHOU; Fei Wu; Kun Kuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Merging; Large Language Models; Alignment
2374	MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation Authors: Zhiwei Hao; Zhongyu Xiao; Jianyuan Guo; Li Shen; Yong Luo; Han Hu; Dan Zeng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: semantic segmentation; multimodal fusion; prompt tuning; low-rank space
2375	Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go Authors: Yichuan Ma; Linyang Li; Yongkang Chen; Peiji Li; Jiasheng Ye; Qipeng Guo; Dahua Lin; Kai Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM reasoning; Reinforcement Learning; Go
2376	Mixture of Inputs: Text Generation Beyond Discrete Token Sampling Authors: Yufan Zhuang; Liyuan Liu; Chandan Singh; Jingbo Shang; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language model; continuous representation mixture
2377	Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants Authors: Gangda Deng; Hongkuan Zhou; Rajgopal Kannan; Viktor Prasanna Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: heterophily; deeper GNNs; mixture of experts
2378	Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Authors: Sangmin Bae; Yujin Kim; Reza Bayat; Sungnyun Kim; Jiyoun Ha; Tal Schuster; Adam Fisch; Hrayr Harutyunyan; Ziwei Ji; Aaron Courville; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adaptive Computation; Dynamic Routing; Early-exiting; Parameter Sharing; Language Model; Efficiency
2379	Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training Authors: Sameera Ramasinghe; Thalaiyasingam Ajanthan; Hadi Mohaghegh Dolatabadi; Gil Avraham; Violetta Shevchenko; Yan Zuo; Chamin P Hewa Koneputugodage; Alexander Long Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Decentralized training; LLMs; Compressio; Distributed training
2380	MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning Authors: Han Wu; Jie Yin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Few-shot learning; few-shot relational learning; knowledge graphs
2381	MoFo: Empowering Long-term Time Series Forecasting with Periodic Pattern Modeling Authors: Jiaming Ma; Binwu Wang; Qihe Huang; Guanjun Wang; Pengkun Wang; Zhengyang Zhou; Yang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series; Deep Learning; Position Information Encoding
2382	MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation Authors: Shen Yuan; Yin Zheng; Taifeng Wang; BINBINLIU; Hongteng Xu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; MoE-ization; SVD; Orthogonality; PEFT; Multi-Task Adaptation
2383	MobileODE: An Extra Lightweight Network Authors: Le Yu; Jun Wu; Bo Gou; Xiangde Min; Lei Zhang; Zhang Yi; Tao He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: depthwise-separable convolution; lightweight models; nmODE
2384	Model Merging in Pre-training of Large Language Models Authors: Yunshui Li; Yiyuan Ma; Shen Yan; Chaoyi Zhang; Jing Liu; Jianqiao Lu; Ziwen Xu; Mengzhao Chen; Minrui Wang; Shiyi Zhan; Jin Ma; Xunhao Lai; Yao Luo; Xingyan Bin; Hongbin Ren; Ming… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Pretrain; Model merge; Stable training
2385	Model Provenance Testing for Large Language Models Authors: Ivica Nikolic; Teodora Baluta; Prateek Saxena Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: model provenance; large language models
2386	MoleBridge: Synthetic Space Projecting with Discrete Markov Bridges Authors: Rongchao Zhang; Yu Huang; Yongzhi Cao; Hanpin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Markov Bridges; Diffusion Models; AIGC; Generation
2387	Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models Authors: Jisung Hwang; Jaihoon Kim; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Normal Distribution; Gaussian Distribution; Text-to-Image Models
2388	Momentum Multi-Marginal Schrödinger Bridge Matching Authors: Panagiotis Theodoropoulos; Augustinos D Saravanos; Evangelos Theodorou; Guan-Horng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Schrödinger bridge; Distribution matching; Trajectory Inference
2389	Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Authors: Marlon Becker; Frederick Altrock; Benjamin Risse Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Networks; Optimization; Sharpness; Generalization; Overfitting
2390	More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models Authors: Zhongxing Xu; Chengzhi Liu; Qingyue Wei; Juncheng Wu; James Zou; Xin Eric Wang; Yuyin Zhou; Sheng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning model; Multimodality; Hallucination
2391	MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining Authors: Zhixun Chen; Ping Guo; Wenhan Han; Yifan Zhang; BINBINLIU; Haobin Lin; Fengze Liu; Yan Zhao; Bingni Zhang; Taifeng Wang; Yin Zheng; Trevor Cohn; Meng Fang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Natural Language Processing
2392	Multi-Agent Collaboration via Evolving Orchestration Authors: Yufan Dang; Chen Qian; Xueheng Luo; Jingru Fan; Zihao Xie; Ruijie Shi; Weize Chen; Cheng Yang; Xiaoyin Che; Ye Tian; Xuantang Xiong; Lei Han; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Autonomous Agent; Multi-Agent Collaboration; Evolving Orchestration
2393	Multi-Expert Distributionally Robust Optimization for Out-of-Distribution Generalization Authors: Jinyong Jeong; Hyungu Kahng; Seoung Bum Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Out-of-Distribution Generalization; Distributional Shift; Subpopulation Shift; Domain Generalization; Distributionally Robust Optimization
2394	Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration Authors: Hongkang Zhang; Shao-Lun Huang; Ercan Engin KURUOGLU; Yanlong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Kernel Vision Transformer; HGR Correlation Learning; Dynamic Feature Fusion; Efficient Attention Mechanism; Multi-Scale Representation Learning
2395	Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting Authors: ChengAo Shen; Wenchao Yu; Ziming Zhao; Dongjin Song; Wei Cheng; Haifeng Chen; Jingchao Ni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Multi-Modal View; Deep Learning
2396	Multi-Objective One-Shot Pruning for Large Language Models Authors: Weiyu Chen; Hansi Yang; Yunhao GOU; Han Shi; En-Liang Hu; Zhenguo Li; James Kwok Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Pruning; Large Language Models
2397	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models Authors: Zhongzheng Qiao; Chenghao Liu; Yiming Zhang; Ming Jin; Quang Pham; Qingsong Wen; Ponnuthurai Nagaratnam Suganthan; Xudong Jiang; Savitha Ramasamy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Foundation Model; Time Series Forecasting; Multiscale modeling; Finetuning
2398	Multi-Token Prediction Needs Registers Authors: Anastasios Gerontopoulos; Spyros Gidaris; Nikos Komodakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: autoregressive transformers; next-token prediction; multi-token prediction; register tokens
2399	Multi-head Temporal Latent Attention Authors: Keqi Deng; Phil Woodland Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention; Key-Value cache compression; speech translation; speech recognition; spoken language understand; text summarisation
2400	Multi-step Visual Reasoning with Visual Tokens Scaling and Verification Authors: Tianyi Bai; Zengjie Hu; Fupeng Sun; Qiu Jiantao; Yizhen Jiang; Guangxin He; Bohan Zeng; Conghui He; Binhang Yuan; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLMs
2401	Multimodal Tabular Reasoning with Privileged Structured Information Authors: Jun-Peng Jiang; Yu Xia; Hai-Long Sun; Shiyin Lu; Qing-Guo Chen; Weihua Luo; Kaifu Zhang; De-Chuan Zhan; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tabular Reasoning; Multimodal Large Language Models; Multimodal Tabular Reasoning
2402	Multipole Attention for Efficient Long Context Reasoning Authors: Coleman Richard Charles Hooper; Sebastian Zhao; Luca Manolache; Sehoon Kim; Michael W. Mahoney; Sophia Shao; Kurt Keutzer; Amir Gholami Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long Context; Inference; LLM; Reasoning; Efficiency; ML Systems; Attention
2403	Multivariate Time Series Anomaly Detection with Idempotent Reconstruction Authors: Xin Sun; Heng Zhou; Chao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multivariate time series; anomaly detection; idempotent generative network
2404	Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection Authors: Imezadelajara; Cristian Rodriguez-Opazo; Damien Teney; Damith Ranasinghe; Ehsan Abbasnejad Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: out-of-distribution detection; intermediate representations; vision transformers; entropy-based fusion; pretrained models; representation analysis; contrastive…
2405	NAUTILUS: A Large Multimodal Model for Underwater Scene Understanding Authors: Wei Xu; Cheng Wang; Dingkang Liang; Zongchuang Zhao; Xingyu Jiang; Peng Zhang; Xiang Bai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Underwater scene understanding; vision-language model; large language model
2406	NEP: Autoregressive Image Editing via Next Editing Token Prediction Authors: Huimin Wu; Xiaojian Ma; Haozhe Zhao; Yanpeng Zhao; Qing Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: image editing; auturegressive image generation; test-time scaling
2407	NFIG: Multi-Scale Autoregressive Image Generation via Frequency Ordering Authors: Zhihao Huang; Xi Qiu; Yukuo Ma; Yifu Zhou; Junjie Chen; Hongyuan Zhang; Chi Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Generation; Auto-regressive model; Frequency analysis
2408	NSNQuant: A Double Normalization Approach for Calibration-Free Low-Bit Vector Quantization of KV Cache Authors: Donghyun Son; Euntae Choi; Sungjoo Yoo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV cache quantization; vector quantization; large language model; inference optimization
2409	NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints Authors: Changyao Tian; Hao Li; Gen Luo; Xizhou Zhu; Weijie Su; Hanming Deng; Jinguo Zhu; Jie Shao; Ziran Zhu; Yunpeng Liu; Lewei Lu; Wenhai Wang; Hongsheng Li; Jifeng Dai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Scaling Properties
2410	Native-Resolution Image Synthesis Authors: ZiDong Wang; LEI BAI; Xiangyu Yue; Wanli Ouyang; Yiyuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Native-resolution; Image Synthesis; Diffusion Models
2411	Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models Authors: Yonggan Fu; Xin Dong; Shizhe Diao; Matthijs Van keirsbilck; Hanrong Ye; Wonmin Byeon; Yashaswi Karnati; Lucas Liebenwein; Maksim Khadkevich; Alexander Keller; Jan Kautz; Yingyan C… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Language Models; Hybrid Language Models
2412	Nested Learning: The Illusion of Deep Learning Architectures Authors: Ali Behrouz; Meisam Razaviyayn; Peilin Zhong; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Learning Module; Deep Learning; Memory; Recurrent Neural Networks
2413	Neural Attention Search Authors: Difan Deng; Marius Lindauer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sparse Transformer; KV Cache Compression; Neural Architecture Search
2414	Neural B-frame Video Compression with Bi-directional Reference Harmonization Authors: Yuxi Liu; Dengchao Jin; Shuai Huo; Jiawen Gu; Chao Zhou; Huihui Bai; Ming Lu; Zhan Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural video compression; video coding; B-frame compression
2415	Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model Authors: Chuang Ma; Tomoyuki Obuchi; Toshiyuki Tanaka Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural collapse; unconstrained feature model; ordinal regression; cumulative link model; deep learning theory
2416	Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers Authors: Peter Súkeník; Christoph H. Lampert; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural collapse; ResNets; transformers; LayerNorm; weight regularization
2417	Neural MJD: Neural Non-Stationary Merton Jump Diffusion for Time Series Prediction Authors: Yuanpei Gao; Qi Yan; Yan Leng; Renjie Liao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series; sequantial models; neural merton jump diffusion
2418	Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data Authors: Ishika Agarwal; Dilek Hakkani-Tür Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Influence Estimation; Data Valuation; Data Attribution
2419	Neural Thermodynamics: Entropic Forces in Deep and Universal Representation Learning Authors: Liu Ziyin; Yizhou Xu; Isaac L. Chuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: entropic loss; symmetry breaking; universal representation learning; physics
2420	NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge Authors: Hanyu Zhu; Lance Fiondella; Jiawei Yuan; Kai Zeng; Long Jiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adversarial Attacks; Poisoning Attacks; Security; Large Language Models; Retrieval-Augmented Generation
2421	NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval Authors: Junchen Li; Rongzheng Wang; Yihong Huang; Qizhi Chen; Jiasheng Zhang; Shuang Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Large Language Models; Multi-hop Question Answering; Knowledge Graphs
2422	Next Semantic Scale Prediction via Hierarchical Diffusion Language Models Authors: Cai Zhou; Chenyu Wang; Dinghuai Zhang; Shangyuan Tong; Yifei Wang; Stephen Bates; Tommi Jaakkola Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Diffusion Model; Theory for Discrete Diffusion; Diffusion Language Modeling
2423	No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization Authors: Wenhang Shi; Yiren Chen; Shuqing Bian; Xinyi Zhang; Kai Tang; Pengfei Hu; Zhe Zhao; WEI LU; Xiaoyong Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Automatic Prompt Optimization
2424	Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls Authors: Yihong Luo; Shuchen Xue; Tianyang Hu; Jing Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: One-step Controllable Generation
2425	Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Authors: Luca Eyring; Shyamgopal Karthik; Alexey Dosovitskiy; Nataniel Ruiz; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; diffusion models; hypernetworks; preference optimization; flow matching; reward fine-tuning; noise optimization
2426	Noise Matters: Optimizing Matching Noise for Diffusion Classifiers Authors: Yanghao Wang; Long Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Classifier; Few-shot Classification; Noise Optimization; Prompt Optimization
2427	Noise-Robustness Through Noise: A Framework combining Asymmetric LoRA with Poisoning MoE Authors: Zhaokun Wang; Jinyu Guo; Jingwen Pu; Lingfeng Chen; Hongli Pu; Jie Ou; Libo Qin; Wenhong Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: noise-robustness; asymmetric LoRA; mixture of experts; parameter-efficient fine-tuning
2428	Noisy Multi-Label Learning through Co-Occurrence-Aware Diffusion Authors: Senyu Hou; Yuru Ren; Gaoxia Jiang; Wenjian Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-label classification; Noisy multi-label learning; Diffusion model; Co-occurrence-aware
2429	NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation Authors: Xiangyan Liu; Jinjie Ni; Zijian Wu; Chao Du; Longxu Dou; Haonan Wang; Tianyu Pang; Michael Qizhe Shieh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Visual Reasoning; Reinforcement Learning; Data Augmentation
2430	Non-Markovian Discrete Diffusion with Causal Language Models Authors: Yangtian Zhang; Sizhuang He; Daniel Levine; Lawrence Zhao; David Zhang; Syed A Rizvi; Shiyang Zhang; Emanuele Zappala; Rex Ying; David van Dijk Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Model; Causal Language Model
2431	Non-Singularity of the Gradient Descent Map for Neural Networks with Piecewise Analytic Activations Authors: Alexandru Crăciun; Debarghya Ghoshdastidar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: loss landscape; optimization; gradient descent; neural networks; non-singular
2432	Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks Authors: Hang Yu; Lyumin Wu; Wenxin Zhou; Zhao Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: nonparametric regression; quantile regression; neural networks; deep learning; non-asymptotic bounds; stationarity
2433	Normalize Filters! Classical Wisdom for Deep Vision Authors: Gustavo Perez; Stella X. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: convolutional neural networks; deep learning; filter normalization; codomain symmetry
2434	Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Authors: Dar-Yen Chen; Hmrishav Bandyopadhyay; Kai Zou; Yi-Zhe Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; negative guidance; guidance; text2image; text2video
2435	OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction Authors: Juntong Wang; Xiyuan Wang; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Link Prediction; Higher-Order Common Neighbors; Structural Features; Probabilistic Modeling; Orthogonality
2436	OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain Authors: Wenzhen Yue; Yong Liu; Hao Wang; Haoxuan Li; Xianghua Ying; Ruohao Guo; Bowei Xing; Ji Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series forecasting; Linear-based model; Transformer
2437	OSKAR: Omnimodal Self-supervised Knowledge Abstraction and Representation Authors: Mohamed O Abdelfattah; Kaouther Messaoud; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Self-Supervised Learning; Representation Learning; Feature Prediction
2438	Object Concepts Emerge from Motion Authors: Haoqian Liang; Xiaohui Wang; Zhichao Li; Ya Yang; Naiyan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Pretraining; Visual Foundation Models; Object Discovery
2439	Object-Centric Concept-Bottlenecks Authors: David Steinmann; Wolfgang Stammer; Antonia Wüst; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Concept Learning; Object Centric Learning; Interpretability
2440	Object-centric binding in Contrastive Language-Image Pretraining Authors: Rim Assouel; Pietro Astolfi; Florian Bordes; Michal Drozdzal; Adriana Romero-Soriano Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: object-centric representation; binding problem; object-centric language alignment
2441	Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization Authors: Subhojyoti Mukherjee; Viet Dac Lai; Raghavendra Addanki; Ryan A. Rossi; Seunghyun Yoon; Trung Bui; Anup Rao; Jayakumar Subramanian; Branislav Kveton Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: offline reinforcement learning; fine-tuning; LLMs; question answering; clarifying questions
2442	Omni-Mol: Multitask Molecular Model for Any-to-any Modalities Authors: Chengxin Hu; Hao Li; Yihe Yuan; Zezheng Song; Chenyang Zhao; Haixin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Molecular Science; Multi-modal Learning
2443	Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration Authors: Hao Zhong; Muzhi Zhu; Zongze Du; Zheng Huang; Canyu Zhao; Mingyu Liu; Wen Wang; Hao Chen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: RL; Omni
2444	OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data Authors: Yiren Song; Cheng Liu; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion model; Conditional generation; Image generation; Style transfer
2445	OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding Authors: Ramchalam Kinattinkara Ramakrishnan; Zhaocong Yuan; Shaojie Zhuo; Chen Feng; Yicheng Lin; Chenzheng Su; Xiaopeng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Speculative Decoding; LLM; Online Adaptation; Distillation; Tokenization; Inference Optimization; Fine-tuning; LoRA
2446	OmniGen-AR: AutoRegressive Any-to-Image Generation Authors: Junke Wang; Xun Wang; Qiushan Guo; Peize Sun; Weilin Huang; Zuxuan Wu; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: autoregressive visual generation
2447	Omnidirectional 3D Scene Reconstruction from Single Image Authors: Ren Yang; Jiahao Li; Yan Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D Reconstruction; Diffusion; Gaussian Splatting
2448	On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders Authors: Wenyu Mao; Jiancan Wu; Guoqing Hu; Zhengyi Yang; Wei Ji; Xiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Recommender System; Preference Optimization
2449	On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models Authors: Hoigi Seo; Dong Un Kang; Hyunjin Cho; Joohoon Lee; Se Young Chun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Object Hallucinations; Uncertain Visual Tokens
2450	On Evaluating LLM Alignment by Evaluating LLMs as Judges Authors: Yixin Liu; Pengfei Liu; Arman Cohan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: alignment evaluation; LLM-as-a-judge; LLM evaluation
2451	On Extending Direct Preference Optimization to Accommodate Ties Authors: Jinghong Chen; Guangyu Yang; Weizhe Lin; Jingbiao Mei; Chenxu Lyu; Bill Byrne Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Direct Preference Optimization; Bradley-Terry Extensions; Ties
2452	On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation Authors: Liyao Tang; Zhe Chen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scene understanding; semantic segmentation; 3D vision
2453	On Inductive Biases That Enable Generalization in Diffusion Transformers Authors: Jie An; De Wang; Pengsheng Guo; Jiebo Luo; Alex Schwing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Model; Diffusion Transformer; Generalization; Inductive Bias
2454	On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Authors: Alvaro Arroyo; Alessio Gravina; Benjamin Gutteridge; Federico Barbero; Claudio Gallicchio; Xiaowen Dong; Michael M. Bronstein; Pierre Vandergheynst Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; vanishing gradients; long-range propagation; oversmoothing; oversquashing
2455	On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study Authors: Riccardo Alberghi; Elizaveta Demyanenko; Luca Biggio; Luca Saglietti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Chain-of-thought; Next-token prediction; Transformers; Algorithm; Shortest-Path
2456	On the Edge of Memorization in Diffusion Models Authors: Sam Buchanan; Druv Pai; Yi Ma; Valentin De Bortoli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; memorization; generalization; phase transition; denoising
2457	On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization Authors: Wenlong Deng; Yi Ren; Muchen Li; Danica J. Sutherland; Xiaoxiao Li; Christos Thrampoulidis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Reasoning; Reinforcement Learning
2458	On the Loss of Context Awareness in General Instruction Fine-tuning Authors: Yihan Wang; Andrew Bai; Nanyun Peng; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Instruction fine-tuning; context awareness; catastrophic forgetting
2459	On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks Authors: Stephen Obadinma; Xiaodan Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: adversarial attacks; robustness; uncertainty; confidence_elicitation
2460	On the Role of Hidden States of Modern Hopfield Network in Transformer Authors: Tsubasa Masumura; Masato Taki Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: hopfield networks; self-attention; Transformer; rank collapse
2461	On the rankability of visual embeddings Authors: Ankit Sonthalia; Arnas Uselis; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: ranking; visual representations; structured representations; ordinal regression
2462	On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding Authors: Haoyuan Wu; Rui Ming; Jilong Gao; Hangyu Zhao; Xueyi Chen; Yikai Yang; Haisheng Zheng; Zhuolun He; Bei Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Multi-Programming Language Understanding
2463	Once Upon an Input: Reasoning via Per-Instance Program Synthesis Authors: Adam Stein; Neelay Velingker; Mayur Naik; Eric Wong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: program synthesis; reasoning; LLM; instance; chain of thought; neuro-symbolic
2464	One Stone with Two Birds: A Null-Text-Null Frequency-Aware Diffusion Models for Text-Guided Image Inpainting Authors: Haipeng Liu; Yang Wang; Meng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: text-guided image inpainting; image editing; diffusion models
2465	One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding Authors: Zheyu Aqa Zhang; Ziqi Pang; Shixing Chen; Xiang Hao; Vimal Bhat; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Computer Vision; Long Video Understanding
2466	One for All: Universal Topological Primitive Transfer for Graph Structure Learning Authors: Yide Qiu; Tong Zhang; Xing Cai; Hui Yan; Zhen Cui Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Structure Learning; Transfer Learning.
2467	One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling Authors: Nimrod Berman; Ilan Naiman; Moshe Eliasof; Hedi Zisling; Omri Azencot Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Koopman theory; diffusion models; offline distillation; one-step generation; dynamical systems
2468	OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields Authors: Lisa Weijler; Sebastian Koch; Fabio Poiesi; Timo Ropinski; Pedro Hermosilla Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D scene understanding; open vocabulary; NeRF; hyperbolic embeddings
2469	OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data Authors: Hao Luo; Zihao Yue; Wanpeng Zhang; Yicheng Feng; Sipeng Zheng; Deheng Ye; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal LLMs; Egocentric Video Understanding
2470	OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis Authors: Run Luo; Ting-En Lin; Haonan Zhang; Yuchuan Wu; Xiong Liu; Yongbin Li; Longze Chen; Jiaming Li; Lei Zhang; Xiaobo Xia; Hamid Alinejad-Rokny; Fei Huang; Min Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: omnimodal large language models; modality alignment; real-time inference
2471	OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Authors: Yihe Deng; Hritik Bansal; Fan Yin; Nanyun Peng; Wei Wang; Kai-Wei Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-language reasoning; iterative improvement; distillation; reinforcement learning
2472	Optical Coherence Tomography Harmonization with Anatomy-Guided Latent Metric Schrödinger Bridges Authors: Shuwen Wei; Samuel W. Remedios; Blake E. Dewey; Zhangxing Bian; Shimeng Wang; Junyu Chen; Bruno Michel Jedynak; shiv saidha; Peter A. Calabresi; Aaron Carass; Jerry L Prince Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Schrödinger Bridge; Harmonization; Optical Coherence Tomography; Anatomy; Metric
2473	Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency Authors: Kelvin Kan; Xingjian Li; Benjamin Zhang; Tuhin Sahai; Stanley Osher; Markos Katsoulakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer; LLM; Uncertainty Quantification; Optimal Control Theory; Optimal Transport
2474	Optimizing Anytime Reasoning via Budget Relative Policy Optimization Authors: Penghui Qi; Zichen Liu; Tianyu Pang; Chao Du; Wee Sun Lee; Min Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Anytime Reasoning; Reinforcement Learning; LLM Reasoning; GRPO
2475	Order-Level Attention Similarity Across Language Models: A Latent Commonality Authors: Jinglin Liang; Jin Zhong; Shuangping Huang; Yunqing Hu; Huiyuan Zhang; Huifang Li; Lixin Fan; Hanlin Gu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Exploration of language model commonalities; Language model adapter transfer
2476	Over-squashing in Spatiotemporal Graph Neural Networks Authors: Ivan Marisca; Jacob Bamberger; Cesare Alippi; Michael M. Bronstein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Spatiotemporal Graph Neural Networks; Over-squashing; Time Series Processing; Time Series Forecasting
2477	Overcoming Challenges of Long-Horizon Prediction in Driving World Models Authors: Arian Mousakhan; Sudhanshu Mittal; Silvio Galesso; Karim Farid; Thomas Brox Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: World models; autonomous driving; generative models; video generation
2478	Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention Authors: Zhihao Zhan; Jianan Zhao; Zhaocheng Zhu; Jian Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long-context modeling; state-space models; sparse attention; novel architectures design
2479	P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Authors: Tingjia Shen; Hao Wang; Chuhan Wu; Jin Yao Chin; Wei Guo; Yong Liu; Huifeng Guo; Defu Lian; Ruiming Tang; Enhong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Recommendation System; Sequential Recommendation; Scaling Law
2480	PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs Authors: Seungyoo Lee; Giung Nam; Moonseok Choi; Hyungi Lee; Juho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: synthetic data generation; large language models; domain adaptation
2481	PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling Authors: Guilin Li; Yun Zhang; Xiuyuan Chen; Chengqi Li; Bo Wang; Linghe Kong; Wenjia Wang; Weiran Huang; Matthias Hwai Yong Tan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sequential User Modeling; Fraud Detection; Generative Pretraining; Transformer Models; Representation Learning
2482	PDPO: Parametric Density Path Optimization Authors: Sebastian Gutierrez Hernandez; Peng Chen; Hao-Min Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Optimal Transport; Generalized Schrodinger Bridges; Lagrantian Costs
2483	PID-controlled Langevin Dynamics for Faster Sampling of Generative Models Authors: Hongyi Chen; Jianhai Shu; Jingtao Ding; Yong Li; Xiao-Ping Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Langevin Dynamics; Generative Models; PID controller
2484	PLD: A Choice-Theoretic List-Wise Knowledge Distillation Authors: Ejafa Bassam; Dawei Zhu; Kaigui Bian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: knowledge distillation; model compression; Plackett–Luce; list‐wise ranking; teacher–student networks
2485	PLEIADES: Building Temporal Kernels with Orthogonal Polynomials Authors: Yan Ru Pei; Olivier JMD Coenen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: orthogonal polynomials; spatiotemporal; event-based; convolutional neural networks; object detection
2486	PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series Authors: Xinghong Chen; Weilin Wu; Kunping Yang; Guannan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Physics-Guided Learning; Energy-Based Loss Design; Seasonal-Trend Decomposition
2487	PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement Authors: ZhanFeng Feng; Long Peng; Xin Di; Yong Guo; Wenbo Li; Yulun Zhang; Renjing Pei; Yang Wang; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: quantization; deep learning
2488	PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs Authors: Jaewon Chu; Seunghun Lee; Hyunwoo J. Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Instruction Optimization
2489	PROFIT: A Specialized Optimizer for Deep Fine Tuning Authors: Anirudh S Chakravarthy; Shuai Kyle Zheng; Xin Huang; Sachithra Hemachandra; Xiao Zhang; Yuning Chai; Zhao Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Temporal multi-task; deep learning
2490	PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning Authors: Zongqian Li; Yixuan Su; Nigel Collier Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Natural Language Processing
2491	PaTH Attention: Position Encoding via Accumulating Householder Transformations Authors: Songlin Yang; Yikang Shen; Kaiyue Wen; Shawn Tan; Mayank Mishra; Liliang Ren; Rameswar Panda; Yoon Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: position encoding; state tracking; position embedding; contextualized position encoding; sequence modeling; softmax attention; attention mechanism; DeltaNet; d…
2492	PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding Authors: Kangcong Li; Peng Ye; Chongjun Tu; Lin Zhang; Chunfeng Song; Jiamin Wu; Tao Yang; Qihao Zheng; Tao Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Long Contexts; Brain-inspired LLMs; Feed-Foward Networks; Working Memory; Persistent Activity; Cortical Expert
2493	PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Authors: Haoguang Lu; Jiacheng Chen; Zhenguo Yang; Aurele Tohokantche Gnanha; Fu Lee Wang; Li Qing; Xudong Mao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Image Editing; Generative Models
2494	Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model Authors: Kotaro Ikeda; Masanori Koyama; Jinzhe Zhang; Kohei Hayashi; Kenji Fukumizu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Flow Matching; Conditional Transfer
2495	PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms Authors: Yifei Xia; Shuchen Weng; Siqi Yang; Jingqi Liu; Chengxuan Zhu; Minggui Teng; Zijian Jia; Han Jiang; Boxin Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Panoramic Video Generation; Video Diffusion Models
2496	Panoptic Captioning: An Equivalence Bridge for Image and Text Authors: Kun-Yu Lin; Hongjun Wang; Weining Ren; Kai Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Captioning; Comprehensive Image Captioning
2497	Parallel Scaling Law for Language Models Authors: Mouxiang Chen; Binyuan Hui; Zeyu Cui; Jiaxi Yang; Dayiheng Liu; Jianling Sun; Junyang Lin; Zhongxin Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Scaling Law
2498	Parallelization of Non-linear State-Space Models: Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling Authors: Mónika Farsang; Radu Grosu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: state space model; non-linear RNN; liquid neural network; parallelization; sequence modeling
2499	Parameter Efficient Fine-tuning via Explained Variance Adaptation Authors: Fabian Paischer; Lukas Hauzenberger; Thomas Schmied; Benedikt Alkin; Marc Peter Deisenroth; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Models; PEFT; LoRA
2500	ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization Authors: Zechun Liu; Changsheng Zhao; Hanxian Huang; Sijia Chen; Jing Zhang; Jiawei Zhao; Scott Roy; Lisa Jin; Yunyang Xiong; Yangyang Shi; Lin Xiao; Yuandong Tian; Bilge Soran; Raghuraman… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: compression
2501	Pay Attention to Small Weights Authors: Chao Zhou; Tom Jacobs; Advait Gadhikar; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: fine-tuning; LLM; efficient ML; gradient compression
2502	Per-Architecture Training-Free Metric Optimization for Neural Architecture Search Authors: Mingzhuo Lin; Jianping Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Architecture Search; Training-Free Metric; Surrogate Model; Bayesian Optimization; Evolutionary Algorithm
2503	Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos Authors: Weifeng Lin; Xinyu Wei; Ruichuan An; Tianhe Ren; Tingwei Chen; Renrui Zhang; Ziyu Guo; Wentao Zhang; Lei Zhang; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Foundation Model; VLM; Image and Video Caption
2504	Perception-R1: Pioneering Perception Policy with Reinforcement Learning Authors: En Yu; Kangheng Lin; Liang Zhao; jisheng yin; Yana Wei; Yuang Peng; Haoran Wei; Jianjian Sun; Chunrui Han; Zheng Ge; Xiangyu Zhang; Daxin Jiang; Jingyu Wang; Wenbing Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; Perception; Rule-based RL
2505	PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models Authors: Lancheng Zou; Shuo Yin; Zehua Pei; Tsung-Yi Ho; Farzan Farnia; Bei Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Channel Permutation; N:M Sparsity
2506	Permissioned LLMs: Enforcing Access Control in Large Language Models Authors: Bargav Jayaraman; Virendra Marathe; Hamid Mozaffari; William F. Shen; Krishnaram Kenthapadi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; PEFT; access control
2507	Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections Authors: Wei Zhuo; Zhaohuan Zhan; Han Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Federated Learning; Node Classification; Graph Representation Learning
2508	PhySwin: An Efficient and Physically-Informed Foundation Model for Multispectral Earth Observation Authors: Chong Tang; Joseph Powell; Dirk Koch; Robert D. Mullins; Alex S. Weddell; Jagmohan Chauhan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Model; Physics-Informed ML; Efficient Machine Learning; Multispectral Image; Remote Sensing
2509	PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation Authors: Chen Wang; Chuhao Chen; Yiming Huang; Zhiyang Dou; Yuan Liu; Jiatao Gu; Lingjie Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Physics simulation; video generation; diffusion models
2510	PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection Authors: Long Li; Wencheng Zhang; Shi Yuan; Hongle Guo; Wanghu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Anomaly Detection; Physically-Informed Diffusion; ​​Physics-Guided Decomposition; Non-stationary Dynamics​
2511	PhysVLM-AVR: Active Visual Reasoning for Multimodal Large Language Models in Physical Environments Authors: Weijie Zhou; Xuantang Xiong; Yi Peng; Manli Tao; Chaoyang Zhao; Honghui Dong; Ming Tang; Jinqiao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Active Visual Reasoning; MLLM; Embodied AI; Visual Reasoning; Agent
2512	Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Authors: Zeyuan Allen-Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language model; architecture design
2513	Pixel Reasoner: Incentivizing Pixel Space Reasoning via Curiosity-Driven Reinforcement Learning Authors: Alex Su; Haozhe Wang; Weiming Ren; Fangzhen Lin; Wenhu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Reinforcement Learning
2514	Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers Authors: Gangwei Xu; Haotong Lin; Hongcheng Luo; Xianqi Wang; Jingfeng Yao; Lianghui Zhu; Yuechuan Pu; Cheng Chi_; Haiyang Sun; BING WANG; Guang Chen; Hangjun Ye; Sida Peng; Xin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: monocular depth estimation; generative depth estimation models; diffusion transformers; relative depth
2515	PlanU: Large Language Model Reasoning through Planning under Uncertainty Authors: Ziwei Deng; Mian Deng; Chenjing Liang; Zeming Gao; Chennan Ma; Chenxing Lin; Haipeng Zhang; Songzhu Mei; Siqi Shen; Cheng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; decision making; reasoning
2516	Planning with Quantized Opponent Models Authors: XiaoPeng Yu; Kefan Su; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: opponent modeling; multi-agent; deep reinforcement learning
2517	Plug-and-Play Context Feature Reuse for Efficient Masked Generation Authors: Xuejie Liu; Anji Liu; Guy Van den Broeck; Yitao Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Non-autoregressive Image Generation; Masked Generative Modeling; Inference Acceleration
2518	Plug-and-play Feature Causality Decomposition for Multimodal Representation Learning Authors: Ye Liu; Zihan Ji; Hongmin Cai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Representation Learning; Causal Inference; Multimodal Learning
2519	PoLAR: Polar-Decomposed Low-Rank Adapter Representation Authors: Kai Lion; Liang Zhang; Bingcong Li; Niao He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: low-rank adaptation; architecture-optimizer co-design; large language models; lora; low-rank adapter; fine-tuning
2520	Point Cloud Synthesis Using Inner Product Transforms Authors: Ernst Röell; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Topological Data Analysis; TDA; Topology; Topological Deep Learning; Geometric Deep Learning
2521	Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training Authors: Xiaoyang Xiao; Runzhao Yao; Zhiqiang Tian; Shaoyi Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D computer vision; self-supervised learning; diffusion
2522	Point4Bit: Post Training 4-bit Quantization for Point Cloud 3D Detection Authors: Jianyu Wang; Yu Wang; Shengjie Zhao; Sifan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Point Cloud Detection; Post-training Quantization; Model Compression
2523	Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs Authors: Kejia Zhang; Keda TAO; Jiasheng Tang; Huan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision-Langugae Model; Object Hallucination
2524	Polar Sparsity: High Throughput Batched LLM Inferencing with Scalable Contextual Sparsity Authors: Susav Shrestha; Bradley Settlemyer; Nikoli Dryden; A. L. Narasimha Reddy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Contextual Sparsity; Activation Sparsity; Head Sparsity; Select Head Attention; Batched Inference; Efficient Transformers; Machine Learn…
2525	PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration Authors: Songhao Wu; Ang Lv; xiao feng; Yufei zhang; Xun Zhang; Guojun Yin; Wei Lin; Rui Yan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quantization; KV Cache; LLM Inference
2526	PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors Authors: Sepehr Dehdashtian; Mashrur M. Morshed; Jacob H Seidman; Gaurav Bharaj; Vishnu Boddeti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Red Teaming; Diffusion Models; Generative Models; Synthetic Image Detection; Text-to-Image Models; Concept Steering
2527	PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement Authors: Teng Hu; Zhentao Yu; Zhengguang Zhou; Jiangning Zhang; Yuan Zhou; Qinglin Lu; Ran Yi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; video customization
2528	Pool Me Wisely: On the Effect of Pooling in Transformer-Based Models Authors: Sofiane ENNADIR; Levente Zólyomi; Oleg Smirnov; Tianze Wang; John Pertoft; Filip Cornell; Lele Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformer-based Models; Pooling; Expressivity
2529	PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis Authors: Qing Mao; Tianxin Huang; Yu Zhu; Jinqiu Sun; Yanning Zhang; Gim Hee Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Pose estimation; Video generation; diffusion model
2530	Positional Fragility in LLMs: How Offset Effects Reshape Our Understanding of Memorization Risks Authors: Yixuan Xu; Antoine Bosselut; Imanol Schlag Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Verbatim Memorization; Pretraining; Law; Copyright
2531	Power Lines: Scaling laws for weight decay and batch size in LLM pre-training Authors: Shane Bergsma; Nolan Simran Dey; Gurpreet Gosal; Gavia Gray; Daria Soboleva; Joel Hestness Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scaling laws for hyperparameters; weight decay; batch sizing; critical batch size; data parallelism; large language models (LLMs); pre-training; AdamW optimize…
2532	Practical and Effective Code Watermarking for Large Language Models Authors: Zhimeng Guo; Minhao Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; LLM Watermarking; Code Watermarking
2533	Pre-Trained Policy Discriminators are General Reward Models Authors: Shihan Dou; Shichun Liu; Yuming Yang; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; haijun Lv; Demin Song; Songyang Gao; Chengqi Lyu; Enyu Zhou; Honglin Guo; Zh… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reward modeling; scaling laws; pre-training; reinforcement learning; RLHF
2534	Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context Authors: Yijia Dai; Zhaolin Gao; Yahya Sattar; Sarah Dean; Jennifer J. Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: In-context learning; LLM; Hidden Markov models; Neuroscience; Decision-making; Animal behavior.
2535	Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models Authors: Jing Zuo; Luoping Cui; Chuang Zhu; Yonggang Qi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion model; Inversion; Diffusion based real image editing
2536	Preference Learning with Lie Detectors can Induce Honesty or Evasion Authors: Chris Cundy; Adam Gleave Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: RLHF; deception; preference learning; safety; scalable oversight; monitoring
2537	Preference Optimization by Estimating the Ratio of the Data Distribution Authors: Yeongmin Kim; HeeSun Bae; Byeonghu Na; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Direct Preference Optimization; Language Models; AI Alignment
2538	Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation Authors: Mingfeng Fan; Jianan Zhou; Yifeng Zhang; Yaoxin Wu; Jinbiao Chen; Guillaume Adrien Sartoretti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-objective combinatorial optimization; preference optimization; conditional computation
2539	Preference-driven Knowledge Distillation for Few-shot Node Classification Authors: Xing Wei; Chunchun Chen; Rui Fan; Xiaofeng Cao; Sourav Medya; Wei Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Preference-driven; Knowledge distillation; Large language models; Few-shot node classification
2540	PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation Authors: Ao Wang; Hui Chen; Jianchao Tan; Kefeng Zhang; Xunliang Cai; Zijia Lin; Jungong Han; Guiguang Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large vision-language models; KV cache compression
2541	Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization Authors: Bowei He; Lihao Yin; Huiling Zhen; Shuqi LIU; Han Wu; Xiaokun Zhang; Mingxuan Yuan; Chen Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Calibration Data; Large Language Model; Model Compression; Capability Preservation
2542	Preserving Task-Relevant Information Under Linear Concept Removal Authors: Floris Holstege; Shauli Ravfogel; Bram Wouters Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: ersaure; linear erasure
2543	Preventing Shortcuts in Adapter Training via Providing the Shortcuts Authors: Anujraaj Goyal; Guocheng Qian; Huseyin Coskun; Aarush Gupta; Himmy Tam; Daniil Ostashev; Ju Hu; Dhritiman Sagar; Sergey Tulyakov; Kfir Aberman; Kuan-Chieh Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: text to image generation; adapter; personalized generation; controllable generation; spurrious correlation; shortcut learning
2544	Prior Forgetting and In-Context Overfitting Authors: Sungyoon Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: in-context learning; transformer; task recognition; task learning; pretraining; prior forgetting; in-context overfitting
2545	ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models Authors: Mingjie Liu; Shizhe Diao; Ximing Lu; Jian Hu; Xin Dong; Yejin Choi; Jan Kautz; Yi Dong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Languge Models; Reasoning; Reinforcement Learning
2546	Probabilistic Token Alignment for Large Language Model Fusion Authors: Runjia Zeng; James Chenhao Liang; Cheng Han; Zhiwen Cao; Jiahao Liu; Xiaojun Quan; Yingjie Victor Chen; Lifu Huang; Tong Geng; Qifan Wang; Dongfang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: knowledge fusion; model fusion; LLMs; token alignment; optimal transport
2547	Probing Equivariance and Symmetry Breaking in Convolutional Networks Authors: Sharvaree Vadgama; Mohammad Mohaiminul Islam; Domas Buracas; Christian A Shewmake; Artem Moskalev; Erik J Bekkers Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: convolution networks; geometric deep learning; equivariance; symmetry-breaking; generative modeling
2548	Probing Hidden Knowledge Holes in Unlearned LLMs Authors: Myeongseob Ko; Hoang Anh Just; Charles Fleming; Ming Jin; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: unlearning; large language models; reinforcement learning
2549	Prompt Tuning Transformers for Data Memorization Authors: Haiyu Wang; Yuanyuan Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformers; Data Memorization; Prompt Tuning
2550	Prompt-guided Disentangled Representation for Action Recognition Authors: tianci wu; Guangming Zhu; Lu jiang; Siyuan Wang; Ning Wang; Nuoye Xiong; zhang liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Scene graph; Interpretable Graph Garsing
2551	Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization Authors: Tianjun Yao; Haoxuan Li; Yongqiang Chen; Tongliang Liu; Le Song; Eric P. Xing; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: OOD generalization; invariant learning; graph neural networks
2552	Pruning-Robust Mamba with Asymmetric Multi-Scale Scanning Paths Authors: Jindi Lv; Yuhao Zhou; Mingjia Shi; Zhiyuan Liang; Panpan Zhang; Xiaojiang Peng; Wangbo Zhao; Zheng Zhu; Jiancheng Lv; Qing Ye; Kai Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: State Space Model; Mamba; Token Reduction; Efficient AI
2553	PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks Authors: Pengyun Yue; Xuanlin Yang; Mingqing Xiao; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: zeroth-order optimization; LLM fine-tuning
2554	Pseudo-Riemannian Graph Transformer Authors: Le Viet Quan; Viet Cuong Ta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Pseudo-Riemannian manifold; Graph Transformer; Node Classification; Link Prediction
2555	Puzzles: Unbounded Video-Depth Augmentation for Scalable End-to-End 3D Reconstruction Authors: Jiahao Ma; Lei Wang; Miaomiao Liu; David Ahmedt-Aristizabal; Chuong Nguyen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D reconstruction; data augmentation
2556	Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment Authors: Deokjae Lee; Hyun Oh Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM quantization; Post-training quantization; Mixed scheme quantization; Data-free quantization
2557	Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training Authors: Ipsita Ghosh; Ethan Nguyen; Christian Kümmerle Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-Rank Optimization; Model Compression; Low-Rank Adaptation; Parameter-Efficient Pre-training; Iteratively Reweighted Least Squares; Log-Determinant
2558	QBasicVSR: Temporal Awareness Adaptation Quantization for Video Super-Resolution Authors: Zhenwei Zhang; Fanhua Shang; Hongying Liu; Liang Wan; Wei Feng; Yanming Hui Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video super resolution (VSR); post training quantization (PTQ); efficient VSR
2559	QSCA: Quantization with Self-Compensating Auxiliary for Monocular Depth Estimation Authors: Jincheol Yang; Jaemin Choi; Matti Alexander Zinke; Suk-Ju Kang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quantization; Monocular depth estimation
2560	QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation Authors: Yaoyu Zhu; Di Huang; Hanqi Lyu; Xiaoyun Zhang; Chongxiao Li; Wenxuan Shi; Yutong Wu; Jianan Mu; Jinghua Wang; Yang zhao; Pengwei Jin; Shuyao Cheng; shengwen Liang; Xishan Zhang; R… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Code Generation; Verilog
2561	QiMeng-NeuComBack: Self-Evolving Translation from IR to Assembly Code Authors: Hainan Fang; Yuanbo Wen; Jun Bi; Yihan Wang; Tonghui He; Yanlin Tang; Di Huang; Jiaming Guo; Rui Zhang; Qi Guo; Yunji Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Neural Compilation; Compiler; Code Generation; Automatic Prompt Learning
2562	QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation Authors: Yang Zhang; Rui Zhang; Jiaming Guo; Huang Lei; Di Huang; Yunpu Zhao; Shuyao Cheng; Pengwei Jin; Chongxiao Li; Zidong Du; Xing Hu; Qi Guo; Yunji Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Verilog Code Generation; Code Generation; LLM
2563	QuARI: Query Adaptive Retrieval Improvement Authors: Eric Xing; Abby Stylianou; Robert Pless; Nathan Jacobs Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: image retrieval; text image retrieval; hypernetworks; multimodal models; instance retrieval
2564	QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks Authors: Qian Chen; Linxin Yang; Akang Wang; Xiaodong Luo; Yin Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Learning; LLM
2565	Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning Authors: Ziliang Chen; Yongsen Zheng; Zhao-Rong Lai; Zhanfu Yang; Cuixi Li; Yang Liu; Liang Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: instruction tuning; principled data selection for LLM
2566	Quantifying Elicitation of Latent Capabilities in Language Models Authors: Elizabeth Donoway; Hailey Joren; Arushi Somani; Henry Sleight; Julian Michael; Michael R DeWeese; John Schulman; Ethan Perez; Fabien Roger; Jan Leike Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: elicitation; large language models; LLMs; latent capabilities; minimum description length
2567	Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions Authors: Simon Matrenok; Skander Moalla; Caglar Gulcehre Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reinforcement learning fine-tuning; alignment; offline alignment; direct alignment algorithms; large language model
2568	Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization Authors: Yamato Arai; Yuma Ichikawa Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: quantization; post-training quantization; layer-wise post-training quantization
2569	Quantum Visual Fields with Neural Amplitude Encoding Authors: Shuteng Wang; Christian Theobalt; Vladislav Golyanik Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: quantum machine learning; neural fields
2570	R-KV: Redundancy-aware KV Cache Compression for Reasoning Models Authors: Zefan Cai; Wen Xiao; Hanshi Sun; Cheng Luo; Yikai Zhang; Ke Wan; Yucheng Li; Yeyang Zhou; Li-Wen Chang; Jiuxiang Gu; Zhen Dong; Anima Anandkumar; Abedelkadir Asi; Junjie Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV Cache Compression; Inference Acceleration; Reasoning Models
2571	R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing Authors: Tianyu Fu; Yi Ge; Yichen You; Enshu Liu; Zhihang Yuan; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; efficient reasoning; long context
2572	RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models Authors: Jiarui Zhang; Xiangyu Liu; Yong Hu; Chaoyue Niu; Fan Wu; Guihai Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Routing; Retrieval-Augmented Generation; Large Language Models
2573	RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling Authors: Xiuying Wei; Anunay Yadav; Razvan Pascanu; Caglar Gulcehre Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language modeling; attention; recurrence
2574	REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders Authors: Savya Khosla; Sethuraman T V; Barnett Lee; Alex Schwing; Derek Hoiem Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: image representation learning; region-based representations
2575	REOrdering Patches Improves Vision Models Authors: Declan Kutscher; David M. Chan; Yutong Bai; Trevor Darrell; Ritwik Gupta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long sequence model; tokenization
2576	REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning Authors: Sungho Jeon; Xinyue Ma; Kwang In Kim; Myeongjae Jeon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Resource Efficiency; On-device Learning; Continual Learning
2577	REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training Authors: Ziqiao Wang; Wangbo Zhao; Yuhao Zhou; Zekai Li; Zhiyuan Liang; Mingjia Shi; Xuanlei Zhao; Pengfei Zhou; Kaipeng Zhang; Zhangyang Wang; Kai Wang; Yang You Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Efficient training; Representation learning
2578	RETRO SYNFLOW: Discrete Flow-Matching for Accurate and Diverse Single-Step Retrosynthesis Authors: Robin Yadav; Qi Yan; Guy Wolf; Joey Bose; Renjie Liao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: retrosynthesis; flow matching; discrete data
2579	RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning Authors: Kaiwen Zha; Zhengqi Gao; Maohao Shen; Zhang-Wei Hong; Duane S Boning; Dina Katabi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM reasoning; RL post-training; Process reward models
2580	RLVR-World: Training World Models with Reinforcement Learning Authors: Jialong Wu; Shaofeng Yin; Ningya Feng; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: world models; reinforcement learning with verifiable rewards
2581	RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models Authors: Yiqi Tian; Pengfei Jin; Mingze Yuan; Na Li; Bo Zeng; Quanzheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; robust optimization; hallucination
2582	RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models Authors: Zukang Xu; Xing Hu; Qiang Wu; Dawei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient AI; LLM Quantization; Large Language Model; Model Compression
2583	RULE: Reinforcement UnLEarning Achieves Forget-retain Pareto Optimality Authors: Chenlong Zhang; Zhuoran Jin; Hongbang Yuan; Jiaheng Wei; Tong Zhou; Kang Liu; Jun Zhao; Yubo Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Machine Unlearning
2584	Radial Attention: $\mathcal{O}(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation Authors: Xingyang Li; Muyang Li; Tianle Cai; Haocheng Xi; Shuo Yang; Yujun Lin; Lvmin Zhang; Songlin Yang; Jinbo Hu; Kelly Peng; Maneesh Agrawala; Ion Stoica; Kurt Keutzer; Song Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; sparse attention; diffusion models
2585	Random Search Neural Networks for Efficient and Expressive Graph Learning Authors: Michael Ito; Danai Koutra; Jenna Wiens Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; random walks; long-range dependencies; molecule graph
2586	Randomized-MLP Regularization Improves Domain Adaptation and Interpretability in DINOv2 Authors: Joel Valdivia Ortega; Lorenz Lamm; Franziska Eckardt; Benedikt Schworm; Marion Jasnin; Tingying Peng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: computer vision; DINOv2; regularization; representation learning; domain adaptation; interpretability; medical imaging; efficient learning
2587	Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback Authors: Yi-Lun Wu; Bo-Kai Ruan; Chiang Tseng; Hong-Han Shuai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Text to Image Generation; Inverse Reinforcement Learning
2588	Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion Authors: Vinh Tong; Dung Trung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Equivariant Diffusion Models; Equivariant Flow Matching; Rao-Blackwell; variance reduction
2589	Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning Authors: Arian Raje; Baris Askin; Divyansh Jhunjhunwala; Gauri Joshi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; LoRA; Fine-Tuning; Efficiency
2590	RayFusion: Ray Fusion Enhanced Collaborative Visual Perception Authors: Shaohong Wang; Bin Lu; Xinyu Xiao; Hanzhi Zhong; Bowen Pang; Tong Wang; Zhiyu Xiang; Hangguan Shan; Eryun Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Collaborative visual perception; 3D object detection; ray occupancy information.
2591	Re-coding for Uncertainties: Edge-awareness Semantic Concordance for Resilient Event-RGB Segmentation Authors: Nan Bao; Yifan Zhao; Lin Zhu; Jia Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: event camera; semantic segmentation; event-based segmentation; multi-modality fusion; uncertainty modeling
2592	Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape Authors: Ruichen Chen; Keith G. Mills; Liyao Jiang; Chao Gao; Di Niu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sparse Attention; Diffusion Transformer; Image and Video Generation
2593	ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents Authors: Zhenyu Zhang; Tianyi Chen; Weiran Xu; Alex Pentland; Jiaxin Pei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Long-Horizon Reasoning; LLM Agent; LLM Reasoning
2594	ReDi: Rectified Discrete Flow Authors: Jaehoon Yoo; Wonjung Kim; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: discrete generative models; discrete flow matching; discrete diffusion; few-step distillation
2595	ReDit: Reward Dithering for Improved LLM Policy Optimization Authors: Chenxing Wei; Jiarui Yu; Ying Tiffany He; Hande Dong; Yao Shu; Fei Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Rewards; Reward Signal Perturbation; Gradient Optimization; Convergence Speed
2596	ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning Authors: Ziyu Wan; Yunxiang LI; Xiaoyu Wen; Yan Song; Hanjing Wang; Linyi Yang; Mark Schmidt; Jun Wang; Weinan Zhang; Shuyue Hu; Ying Wen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Large Language Model; Multi-Agent; Reinforcement Learning
2597	RePO: Understanding Preference Learning Through ReLU-Based Optimization Authors: Junkang Wu; Kexin Huang; Xue Wang; Jinyang Gao; Bolin Ding; Jiancan Wu; Xiangnan He; Xiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Preference Optimization; Alignment; Simplicity; Implicit Curriculum; Thresholding
2598	ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs Authors: Jiaru Zou; Ling Yang; Jingwen Gu; Jiahao Qiu; Ke Shen; Jingrui He; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Process Reward Models; Inference Scaling; LLMs; Reasoning Trajectories Selection
2599	Reasoning Is Not a Race: When Stopping Early Beats Going Deeper Authors: Mohan Zhang; Jiaxuan Gao; Shusheng Xu; Yi Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long CoT Model; LLM Reasoning; Process Reward Model; Test time Scaling
2600	Reasoning Models Better Express Their Confidence Authors: Dongkeun Yoon; Seungone Kim; Sohee Yang; Sunkyoung Kim; Soyeon Kim; Yongil Kim; Eunbi Choi; Yireun Kim; Minjoon Seo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning Models; Confidence Estimation; Calibration; Large Language Models
2601	Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models Authors: Junyi Li; Hwee Tou Ng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hallucination; Large Reasoning Models; Reinforcement Learning
2602	Reasoning Path Compression: Compressing Generation Trajectories for Efficient LLM Reasoning Authors: Jiwon Song; Dongwon Jo; Yulhwa Kim; Jae-Joon Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model; reasoning; test-time compute scaling; KV cache
2603	Reasoning as an Adaptive Defense for Safety Authors: Taeyoun Kim; Fahim Tajwar; Aditi Raghunathan; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Reasoning for Safety; LLM Safety; Jailbreaking
2604	Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought Authors: Hanlin Zhu; Shibo Hao; Zhiting Hu; Jiantao Jiao; Stuart Russell; Yuandong Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reasoning; chain of continuous thought; superposition; transformer
2605	Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling Authors: Yihong Dong; Ge Li; Xue Jiang; Yongding Tao; Kechi Zhang; Lecheng Wang; Hao Zhu; Huanyu Liu; jiazheng ding; Jia Li; Jinliang Deng; Hong Mei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Periodicity Modeling
2606	Reconciling Geospatial Prediction and Retrieval via Sparse Representations Authors: YI LI; Yuanlong Chen; Weiming Huang; Xiaoli Li; Gao Cong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Urban Data Mining; Representation Learning; Geospatial Predictions; Geographic Information Retrieval
2607	Rectified CFG++ for Flow Based Models Authors: Shreshth Saini; Shashank Gupta; Alan Bovik Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Quality; Perceptual; Generation; T2I; Guidance; Sampling
2608	Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation Authors: Chenyang Jiang; Hang Zhao; Xinyu Zhang; Zhengcen Li; Qiben Shan; Shaocong Wu; Jingyong Su Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: dataset distillation; long-tailed recognition
2609	Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians Authors: Akiyoshi Tomihari; Ryo Karakida Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-attention; dynamical system; energy function; stability analysis; Jacobian; symmetric and antisymmetric weights
2610	Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems Authors: Ibrahim Alabdulmohsin; Xiaohua Zhai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Recursive inference; scaling inference time; self-similarity; language models; SigLIP; multimodal systems.
2611	Recursive Transformer: Boosting Reasoning Ability with State Stack Authors: Kechi Zhang; Ge Li; Jia Li; Huangzhao Zhang; Yihong Dong; Jia Li; Jingjing Xu; Zhi Jin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Model
2612	Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference Authors: Stephen Zhao; Aidan Li; Rob Brekelmans; Roger Baker Grosse Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language modeling; reinforcement learning; probabilistic inference
2613	RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models Authors: Yilang Zhang; Bingcong Li; Georgios B. Giannakis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-rank adaptation; parameter-efficient fine-tuning; optimization
2614	Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks Authors: Jiawei Gu; Ziyue Qiao; Zechao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural network; out of distribution detection
2615	Refusal Direction is Universal Across Safety-Aligned Languages Authors: Xinpeng Wang; Mingyang Wang; Yihong Liu; Hinrich Schuetze; Barbara Plank Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multilingual Safety; LLM Jailbreaks; Crosslingual Transfer
2616	Reinforced Context Order Recovery for Adaptive Reasoning and Planning Authors: Long Ma; Fangwei Zhong; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adaptive Token Order; Autoregressive Models; Diffusion Models; Reinforcement Learning
2617	Reinforcement Learning Finetunes Small Subnetworks in Large Language Models Authors: Sagnik Mukherjee; Lifan Yuan; Dilek Hakkani-Tür; Hao Peng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning
2618	Reinforcement Learning Teachers of Test Time Scaling Authors: Edoardo Cetin; Tianyu Zhao; Yujin Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: RL; reasoning; LLMs; language; math; reinforcement learning; language models
2619	Reinforcement Learning for Reasoning in Large Language Models with One Training Example Authors: Yiping Wang; Qing Yang; Zhiyuan Zeng; Liliang Ren; Liyuan Liu; Baolin Peng; Hao Cheng; Xuehai He; Kuan Wang; Jianfeng Gao; Weizhu Chen; Shuohang Wang; Simon Shaolei Du; yelong shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: RLVR; math reasoning; reinforcement learning; post-training; language models
2620	Reinforcement Learning with Backtracking Feedback Authors: Bilgehan Sel; Vaishakh Keshava; Phillip Wallis; Lukas Rutishauser; Ming Jin; Dingcheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; safety alignment; reinforcement learning
2621	Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models Authors: Zemin Huang; Zhiyang Chen; Zijun Wang; Tiancheng Li; Guo-Jun Qi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reinforcement learning; diffusion language models; diffusion chain of lateral thought
2622	RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Authors: Yan Gong; Yiren Song; Yicheng Li; Chenglin Li; Yin Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion model; In-context learning
2623	Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation Authors: Chaeyun Jang; Deukhwan Cho; Seanie Lee; Hyungi Lee; Juho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Calibration; Uncertainty; LLMs; RAG
2624	Relieving the Over-Aggregating Effect in Graph Transformers Authors: Junshu Sun; Wanxing Chang; Chenxue Yang; Qingming Huang; Shuhui Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph transformers; message passing; graph neural networks
2625	Remarkable Robustness of LLMs: Stages of Inference? Authors: Vedang Lad; Jin Hwa Lee; Wes Gurnee; Max Tegmark Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Deep Learning; Large Language Models; Transformer Robustness; Layer Interventions; Inference Stages; Neural Network Analysis; Att…
2626	Remasking Discrete Diffusion Models with Inference-Time Scaling Authors: Guanghan Wang; Yair Schiff; Subham Sekhar Sahoo; Volodymyr Kuleshov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: discrete diffusion; diffusion language models; diffusion models; diffusion samplers; probabilistic generative models
2627	RepGuard: Adaptive Feature Decoupling for Robust Backdoor Defense in Large Language Models Authors: Chenxu Niu; Jie Zhang; Yanbing Liu; Yunpeng Li; Jinta Weng; Yue Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Backdoor Defense; safety; Representation
2628	Reparameterized LLM Training via Orthogonal Equivalence Transformation Authors: Zeju Qiu; Simon Buchholz; Tim Z. Xiao; Maximilian Dax; Bernhard Schölkopf; Weiyang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; pretraining; orthogonality
2629	ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization Authors: Dmitriy Shopkhoev; Ammar Ali; Magauiya Zhussip; Valentin Malykh; Stamatios Lefkimmiatis; Nikos Komodakis; Sergey Zagoruyko Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Pruning; Depth Pruning; Transformers; LLMs; Training-free
2630	Representation Consistency for Accurate and Coherent LLM Answer Aggregation Authors: Junqi Jiang; Tom Bewley; Salim I. Amoukou; Francesco Leofante; Antonio Rago; Saumitra Mishra; Francesca Toni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test Time Scaling; Large Language Model; Internal Activations
2631	Restage4D: Reanimating Deformable 3D Reconstruction from a Single Video Authors: Jixuan He; Chieh Hubert Lin; Lu Qi; Ming-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Gaussian Splatting; Motion Editing; Monocular Reconstruction
2632	Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification Authors: Jingyuan Zhang; Xin Wang; Lei Yu; Zhirong Huang; Li Yang; Fengjun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Transformer; Graph Neural Networks; Graph Filter; Node Classification
2633	Rethinking Fine-Tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning Authors: Feng Chen; Allan Raventos; Nan Cheng; Surya Ganguli; Shaul Druckmann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test-time compute; inference-time compute; coverage; pass@N; reasoning; large language model; formal math; finetuning; overfitting; overconfidence
2634	Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling Authors: Hao Mark Chen; Guanxi Lu; Yasuyuki Okoshi; Zhiwen Mo; Masato Motomura; Hongxiang Fan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Test-Time Scaling; Efficient Machine Learning
2635	Rethinking Residual Distribution in Locate-then-Edit Model Editing Authors: Xiaopeng Li; Shangwen Wang; Shasha Li; Shezheng Song; Bin Ji; Ma Jun; Jie Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Editing; Large Language Models; Knowledge Editing; Locate-then-edit
2636	Rethinking Tokenized Graph Transformers for Node Classification Authors: Jinsong Chen; Chenyang Li; Gaichao Li; John E. Hopcroft; Kun He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph Transformer; token swapping; token sequence; node classification
2637	RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Authors: Di Liu; Meng Chen; Baotong Lu; Huiqiang Jiang; Zhenhua Han; Qianxi Zhang; Qi Chen; Chengruidong Zhang; Bailu Ding; Kai Zhang; Chen Chen; Fan Yang; Yuqing Yang; Lili Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Efficient Inference; Long Context; Vector Retrieval
2638	Retro-R1: LLM-based Agentic Retrosynthesis Authors: Wei Liu; Jiangtao Feng; Hongli Yu; Yuxuan Song; Yuqiang Li; Shufei Zhang; LEI BAI; Wei-Ying Ma; Hao Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Retrosynthesis Planning; LLM-based Agent
2639	Revealing Multimodal Causality with Large Language Models Authors: Jin Li; Shoujin Wang; Qi Zhang; Feng Liu; Tongliang Liu; Longbing Cao; Shui Yu; Fang Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Large Language Models; Causal Discovery
2640	Revising and Falsifying Sparse Autoencoder Feature Explanations Authors: George Ma; Samuel Pfrommer; Somayeh Sojoudi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mechanistic Interpretability
2641	Revisiting Bi-Linear State Transitions in Recurrent Neural Networks Authors: MohammadReza Ebrahimi; Roland Memisevic Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: recurrent neural networks; bi-linear models; state tracking; length generalization
2642	Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks Authors: Giyeong Oh; Woohyun Cho; Siyeol Kim; Suhwan Choi; Youngjae Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Residual Connection; Orthogonalization; Orthogonal Residual Updates; Representation Learning; Deep Learning
2643	Revisiting Semi-Supervised Learning in the Era of Foundation Models Authors: Ping Zhang; Zheda Mai; Quang-Huy Nguyen; Wei-Lun Chao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: semi-supervised learning; self-training; vision foundation models; foundation models; benchmark; parameter-efficient fine-tuning
2644	Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening Authors: Jiawei Gu; Ziyue Qiao; Xinming Li; Zechao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Global Average Pooling
2645	Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models Authors: Chenrui Cao; Liangcheng Song; Zenan Li; Xinyi Le; Xian Zhang; HUI XUE; Fan Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Theorem proving; Large Reasoning Models; Neuro-symbolic; Lean
2646	Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models Authors: Haidong Kang; Lihong Lin; Hanling Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Training-Free NAS; Automatic Proxy Discovery
2647	Reward Reasoning Models Authors: Jiaxin Guo; Zewen Chi; Li Dong; Qingxiu Dong; Xun Wu; Shaohan Huang; Furu Wei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reward models; reasoning; large language models
2648	Riemannian Consistency Model Authors: Chaoran Cheng; Yusong Wang; Yuxin Chen; Xiangxin Zhou; Nanning Zheng; Ge Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Consistency Model; Flow Matching; Generative Model; Riemannian Manifold
2649	Right for the Right Reasons: Avoiding Reasoning Shortcuts via Prototypical Neurosymbolic AI Authors: Luca Andolfi; Eleonora Giunchiglia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neurosymbolic AI; reasoning shortcuts
2650	Risk-aware Direct Preference Optimization under Nested Risk Measure Authors: Lijun Zhang; Lin Li; Yajie Qi; Huizhong Song; Yaodong Yang; Jun Wang; Wei Wei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM Alignment; Risk-Aware
2651	RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing Authors: Fengxiang Wang; Yulin Wang; Mingshuo Chen; Haotian Wang; Hongzhen Wang; Haiyan Zhao; Yangang Sun; Shuo Wang; Di Wang; Long Lan; Wenjing Yang; Jing Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autoregressive Pretraining; Mamba; Remote Sensing; Foundational Models
2652	RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models Authors: Yingsha Xie; Rui Min; Zeyu Qin; Fei Ma; Li Shen; Fei Yu; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Robust Watermarking; IP Protection
2653	RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers Authors: Ahmet Berke Gökmen; Yiğit Ekin; Bahri Batuhan Bilecen; Aysegul Dundar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video motion transfer; diffusion transformers; positional embeddings; motion; training-free; video; diffusion
2654	Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics Authors: Dongyoung Kim; Sumin Park; Huiwon Jang; Jinwoo Shin; Jaehyung Kim; Younggyo Seo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Reasoning; RL; Robot domain
2655	Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA Authors: Shuangyi Chen; Yuanxin Guo; Yue Ju; Hardik Dalal; Zhongwen Zhu; Ashish J Khisti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LoRA; Federated Learning
2656	Robust Hallucination Detection in LLMs via Adaptive Token Selection Authors: Mengjia Niu; Hamed Haddadi; Guansong Pang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hallucination Detection; Large Language Models
2657	Robust Hyperbolic Learning with Curvature-Aware Optimization Authors: Ahmad Bdeir; Johannes Burchert; Lars Schmidt-Thieme; Niels Landwehr Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: hyperbolic neural networks; deep learning; lorentz metric learning
2658	Robust LLM Alignment via Distributionally Robust Direct Preference Optimization Authors: Zaiyan Xu; Sushil Vemuri; Kishan Panaganti; Dileep Kalathil; Rahul Jain; Deepak Ramachandran Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model Fine-tuning; Reinforcement Learning from Human Feedback; Direct Preference Optimization; Distributionally Robust Optimization
2659	Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods Authors: Isha Puri; Shivchander Sudalairaj; Guangxuan Xu; Abhishek Bhandwaldar; Kai Xu; Akash Srivastava Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Inference Scaling; Particle Filtering
2660	RoomEditor: High-Fidelity Furniture Synthesis with Parameter-Sharing U-Net Authors: Zhenyi Lin; Xiaofan Ming; Qilong Wang; Dongwei Ren; Wangmeng Zuo; Qinghua Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Generation
2661	Rope to Nope and Back Again: A New Hybrid Attention Strategy Authors: Bowen Yang; Bharat Venkitesh; Dwaraknath Gnaneshwar; Hangyu Lin; David Cairuz; Phil Blunsom; Acyr Locatelli Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Pretraining; Long Context; Hybrid Attention
2662	Rotary Masked Autoencoders are Versatile Learners Authors: Uros Zivanovic; Serafina Di Gioia; Andre Scaffidi; Martín Emilio de los Rios; Gabriella Contardo; Roberto Trotta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: deep learning; Transformer; Masked Autoencoder; irregular time-series; Rotary Positional Embeddings
2663	Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning Authors: Haozhen Zhang; Tao Feng; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM Routers; LLM Selection; Reinforcement Learning
2664	Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection Authors: Zheng Zhan; Liliang Ren; Shuohang Wang; Liyuan Liu; Yang Liu; Yeyun Gong; Yanzhi Wang; yelong shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: State Space Model; Mixture of Experts; Mamba
2665	S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning Authors: Hanqing Zeng; Yinglong Xia; Zhuokai Zhao; Chuan Jiang; Qiang Zhang; Jiayi Liu; Qunshu Zhang; Lizhu Zhang; Xiangjun Fan; Benyu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mixture-of-experts; low-rank adaptation; language models; graph neural networks
2666	S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models Authors: Mz Dai; Chenxu Yang; Qingyi Si Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Reasoning model; Reinforcement learning; Post-training
2667	SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders Authors: Zhuohao Yu; Xingru Jiang; Weizheng Gu; Yidong Wang; Qingsong Wen; Shikun Zhang; Wei Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Watermarking; Large Language Models; Sparse Autoencoders; Interpretability; Accountability of LLMs; AIGC Detection
2668	SALS: Sparse Attention in Latent Space for KV Cache Compression Authors: Junlin Mu; Hantao Huang; Jihang Zhang; Minghui Yu; Tao Wang; Yidong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV Cache Compression; Sparse attention; Low-rank projection
2669	SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater Authors: Hanwen Liu; Longjiao Zhang; Rui Wang; Tongya Zheng; Sai Wu; Chang Yao; Mingli Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph neural networks; dynamic graphs; temporal information
2670	SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning Authors: Jiaqi Huang; Zunnan Xu; Jun Zhou; Ting Liu; Yicheng Xiao; Mingwen Ou; Bowen Ji; Xiu Li; Kehong Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Multimodal Large Models; Image Segmentation
2671	SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models Authors: Ye Sun; Hao Zhang; Henghui Ding; Tiehua Zhang; Xingjun Ma; Yu-Gang Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: SAMA; Video Large Multimodal Model; Referring; Grounding; Segmentation; Refer and Ground
2672	SAS: Simulated Attention Score Authors: Chuanyang Zheng; Jiankai Sun; Yihang Gao; Yuehao Wang; Peihao Wang; Jing Xiong; Liliang Ren; Hao Cheng; Janardhan Kulkarni; yelong shen; Zhangyang Wang; Mac Schwager; Anderson Sch… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: sequence modeling; language models; model architecture; Transformer
2673	SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning Authors: Yuyang Ding; Xinyu Shi; Juntao Li; xiaobo liang; Zhaopeng Tu; Min Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Reasoning; Process Supervision; Robust Learning
2674	SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs Authors: Jinhong Deng; Wen Li; Joey Tianyi Zhou; Yang He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Token Pruning; Efficient MLLM
2675	SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories Authors: zhangkai wu; Xuhui Fan; Hongyu Wu; Longbing Cao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Model
2676	SD-VLM: Spatial Measuring and Understanding with Depth-Encoded Vision-Language Models Authors: Pingyi Chen; Yujing Lou; Shen Cao; Jinhui Guo; Lubin Fan; Yue Wu; Lin Yang; Lizhuang Ma; Jieping Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; CV; Spatial Understanding
2677	SDPGO: Efficient Self-Distillation Training Meets Proximal Gradient Optimization Authors: Tongtong Su; Yun Liao; Fengbo Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model compression; Self-knowledge Distillation; Proximal Gradient Optimization
2678	SEAL: Semantic-Aware Hierarchical Learning for Generalized Category Discovery Authors: Zhenqi He; Yuanpei Liu; Kai Han Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generalized Category Discovery; Open World Learning; Hierarchical Learning
2679	SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents Authors: Wanxin Tian; Shijie Zhang; Kevin Zhang; Xiaowei Chi; Chun-Kai Fan; Junyu Lu; Yulin Luo; Qiang Zhou; Yiming Zhao; Ning Liu; Siyu Lin; Zhiyuan Qin; Xiaozhu Ju; Shanghang Zhang; Jian… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Embodied AI; Agents; Generative Reward
2680	SEMPO: Lightweight Foundation Models for Time Series Forecasting Authors: Hui He; Kun Yi; Yuanchi Ma; Qi Zhang; Zhendong Niu; Guansong Pang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series; foundation model; forecasting; lightweight
2681	SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification Authors: Zenan Ying; Zhi Zheng; huijun hou; Tong Xu; Qi Liu; Jinke wang; Wei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Learning; Multivariate Time Series Classification
2682	SONAR: Long-Range Graph Propagation Through Information Waves Authors: Alessandro Trenta; Alessio Gravina; Davide Bacciu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; long-range propagation
2683	SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models Authors: Yibo Wang; Guangda Huzhang; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Models; Self-play Fine-tuning; Noise Contrastive Estimation
2684	SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score Authors: Mohammad Jalali; Haoyu LEI; Amin Gohari; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Guidance; Diversity; Kernel Entropy Measures
2685	SPARTAN: A Sparse Transformer World Model Attending to What Matters Authors: Anson Lei; Bernhard Schölkopf; Ingmar Posner Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: World Models; Attention; Local Causal Model
2686	SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning Authors: Jiaqi Chen; Bang Zhang; Ruotian Ma; Peisong Wang; Xiaodan Liang; Zhaopeng Tu; Xiaolong Li; Kwan-Yee K. Wong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-play; critic model; Reasoning; RL
2687	SPMDM: Enhancing Masked Diffusion Models through Simplifying Sampling Path Authors: Yichen Zhu; Weiyu Chen; James Kwok; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: discrete diffusion; generative modeling
2688	SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation Authors: Yinghui Liu; Hao Miao; Guojiang Shen; Yan Zhao; Xiangjie Kong; Ivan Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Out-of-town trip recommendation; Static-dynamic user preference; Ordinary differential equation
2689	SPRINT: Enabling Interleaved Planning and Parallelized Execution in Reasoning Models Authors: Emil Biju; Shayan Talaei; Zhemin Huang; Mohammadreza Pourreza; Azalia Mirhoseini; Amin Saberi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Reasoning Models; Parallel inference; Planning and parallel execution; Post-training
2690	SPRO: Improving Image Generation via Self-Play Authors: Ritika Jha; Aanisha Bhattacharyya; Yaman Kumar Singla; Rajiv Ratn Shah; Changyou Chen; Balaji Krishnamurthy Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; self play; llm; large language models; prompt improvement
2691	SRHand: Super-Resolving Hand Images and 3D Shapes via View/Pose-aware Neural Image Representations and Explicit Meshes Authors: Minje Kim; Tae-Kyun Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D Reconstruction; Multi-view Images; Super-resolution; Consistency
2692	SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs Authors: LiuRuyue; Rong Yin; Xiangzhen Bo; Xiaoshuai Hao; Yong Liu; Jinwen Zhong; Can Ma; Weiping Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-supervised Learning; Text-Attributed Graphs
2693	STRAP: Spatio-Temporal Pattern Retrieval for Out-of-Distribution Generalization Authors: Haoyu Zhang; WentaoZhang; Hao Miao; Xinke Jiang; Yuchen Fang; Yifan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spatio-Temporal Graph Neural Networks; Out-of-Distribution
2694	STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization Authors: Diqi He; Xuehao Gao; Hao Li; Junwei Han; Dingwen Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-and-Language Navigation; Multi-Modal Reasoning
2695	STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data Authors: Maximilian Forstenhäusler; Daniel Külzer; Christos Anagnostopoulos; Shameem A Puthiya Parambath; Natascha Weber Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: deep learning; transformer; sequential modeling; contrastive learning; semi-supervised learning; time series
2696	STree: Speculative Tree Decoding for Hybrid State Space Models Authors: Yangchao Wu; Zongyue Qin; Alex Wong; Stefano Soatto Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: State Space Models; hybrid models; speculative decoding; tree-based decoding
2697	SUMO: Subspace-Aware Moment-Orthogonalization for Accelerating Memory-Efficient LLM Training Authors: Yehonathan Refael; Guy Smorodinsky; Tom Tirer; Ofir Lindenbaum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Low-rank optimization; Steepest descent; Moment orthogonalization; Newton–Schulz method; Large language model; Memory efficient finetuning; Pretraining
2698	SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Authors: Yuxiang Wei; Olivier Duchenne; Jade Copet; Quentin Carbonneaux; LINGMING ZHANG; Daniel Fried; Gabriel Synnaeve; Rishabh Singh; Sida Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Software Engineering; Reinforcement Learning
2699	Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models Authors: Chenhang Cui; Gelei Deng; An Zhang; Jingnan Zheng; Yicong Li; Lianli Gao; Tianwei Zhang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Jailbreak Attack
2700	SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism Authors: Beitao Chen; Xinyu Lyu; Shengming Yuan; Jingkuan Song; Heng Tao Shen; Lianli Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-modal LLMs; AI safety
2701	Salient Concept-Aware Generative Data Augmentation Authors: Tianchen Zhao; Xuanbai Chen; Zhihua Li; Jun Fang; DONGSHENG An; Xiang Xu; Zhuowen Tu; Yifan Xing Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Data Augmentation; Fine-grained Image Classification
2702	Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs Authors: Yaniv Nikankin; Dana Arad; Yossi Gandelsman; Yonatan Belinkov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; vision language models; VLMs
2703	Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Authors: Nina Vesseron; Louis Béthune; marco cuturi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: optimal transport; generative modelling; input convex neural networks
2704	Scalable In-context Ranking with Generative Models Authors: Nilesh Gupta; Chong You; Srinadh Bhojanapalli; Sanjiv Kumar; Inderjit S Dhillon; Felix X. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language model; information retrieval; efficient fine-tuning; efficient inference
2705	Scale-invariant attention Authors: Ben Anson; Xi Wang; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long context; LLM; Transformer; scale invariance
2706	Scaling Code-Assisted Chain-of-Thoughts and Instructions for Model Reasoning Authors: Honglin Lin; Qizhi Pei; Zhuoshi Pan; Yu Li; Xin Gao; Juntao Li; Conghui He; Lijun Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Synthesis; Reasoning
2707	Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks Authors: Navid Hashemi; Samuel Sasaki; Ipek Oguz; Meiyi Ma; Taylor T Johnson Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Robustness Verification; Semantic Segmentation Neural Network; Reachability Analysis
2708	Scaling Diffusion Transformers Efficiently via $\mu$P Authors: Chenyu Zheng; Xinyu Zhang; Rongzhen Wang; Wei Huang; Zhi Tian; Weilin Huang; Jun Zhu; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Transformer; muP; Tensor Program; image generation; AIGC; Scaling
2709	Scaling Embedding Layers in Language Models Authors: Da Yu; Edith Cohen; Badih Ghazi; Yangsibo Huang; Pritish Kamath; Ravi Kumar; Daogao Liu; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: embedding layer scalability; contextualized token embeddings; scaling with fixed accelerator usage
2710	Scaling Language-centric Omnimodal Representation Learning Authors: Chenghao Xiao; Hou Pong Chan; Hao Zhang; Weiwen Xu; Mahani Aljunied; Yu Rong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: representation learning; multimodal; embedding
2711	Scaling Law with Learning Rate Annealing Authors: Howe Tissue; Venus Wang; Lu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scaling Laws; Full Loss Curve Prediction; Learning Rate Schedule; LLM Pretraining
2712	Scaling Laws for Optimal Data Mixtures Authors: Mustafa Shukor; Louis Béthune; Dan Busbridge; David Grangier; Enrico Fini; Alaaeldin El-Nouby; Pierre Ablin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scaling laws; large models; data mixture
2713	Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets Authors: Marianna Nezhurina; Tomer Porian; Giovanni Puccetti; Tommie Kerssies; Romain Beaumont; Mehdi Cherti; Jenia Jitsev Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scaling laws; open foundation models; open datasets; reproducibility; model comparison; language-vision models; CLIP; MaMMUT
2714	Scaling Speculative Decoding with Lookahead Reasoning Authors: Yichao Fu; Rui Ge; Zelei Shao; Zhijie Deng; Hao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Reasoning; Speculative Decoding
2715	Scaling Up Active Testing to Large Language Models Authors: Gabrielle Berrada; Jannik Kossen; Freddie Bickford Smith; Muhammed Razzak; Yarin Gal; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: active testing; active evaluation; model evaluation; data curation; large language models
2716	ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection Authors: Tao Yin; Shaochen Fu; Zhibin Zhang; Li Huang; Xiaohong Zhang; Yiyuan Yang; Kaixiang Yang; Meng Yan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series anomaly detection; representation learning; mutual information; graph attention network
2717	SceneForge: Enhancing 3D-text alignment with Structured Scene Compositions Authors: Cristian Sbrolli; Matteo Matteucci Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal; 3D
2718	Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Authors: Samuel Howard; Peter Potaptchik; George Deligiannidis Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Schrödinger bridges; Optimal transport; Wasserstein barycentres; Flow-based generative models
2719	SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG Authors: Xiaonan si; Meilin Zhu; Simeng Qin; Lijia Yu; Lijun Zhang; Shuaitong Liu; Xinfeng Li; Ranjie Duan; Yang Liu; Xiaojun Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: RAG; Prompt of LLMs; Defense against RAG attack
2720	SeRL: Self-play Reinforcement Learning for Large Language Models with Limited Data Authors: Wenkai Fang; Shunyu Liu; Yang Zhou; Kongcheng Zhang; Tongya Zheng; Kaixuan Chen; Mingli Song; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-Instruction; Self-Rewarding; Self-Play; Reinforcement Learning
2721	Searching Efficient Semantic Segmentation Architectures via Dynamic Path Selection Authors: Yuxi Liu; Min Liu; Shuai Jiang; Yi Tang; Yaonan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Architecture Search; Semantic Segmentation; Dynamic Path Selection
2722	Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models Authors: Qingsong Wang; Zhengchao Wan; Mikhail Belkin; Yusu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Principal Component Analysis; Generative model
2723	Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models Authors: Zhentao he; Can Zhang; Ziheng Wu; Zhenghao Chen; Yufei Zhan; Yifan Li; Zhao Zhang; Xian Wang; Minghui Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: OCR; MLLM; hallucination
2724	SeerAttention: Self-distilled Attention Gating for Efficient Long-context Prefilling Authors: Yizhao Gao; Zhichen Zeng; DaYou Du; Shijie Cao; Peiyuan Zhou; Jiaxing Qi; Junjie Lai; Hayden Kwok-Hay So; Ting Cao; Fan Yang; Mao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Sparse Attention; Long-Context LLM
2725	Seg2Any: Open-set Segmentation-Mask-to-Image Generation with Precise Shape and Semantic Control Authors: Danfeng Li; Hui Zhang; Sheng Wang; Jiacheng Li; Zuxuan Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: controllable image generation; text to image generation
2726	Seg4Diff: Unveiling Open-Vocabulary Semantic Segmentation in Text-to-Image Diffusion Transformers Authors: Chaehyun Kim; Heeseong Shin; Eunbeen Hong; Heeji Yoon; Anurag Arnab; Paul Hongsuck Seo; Sunghwan Hong; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion models; Open-vocabulary semantic segmentation; Image generation
2727	Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models Authors: Yiran Guo; Lijie Xu; Jie Liu; Ye Dan; Shuang Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Deep Learning; Reinforcement Learning
2728	Selective Learning for Deep Time Series Forecasting Authors: Yisong Fu; Zezhi Shao; Chengqing Yu; Yujie Li; Zhulin An; Cheems Wang; Yongjun Xu; Fei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: selective learning; time series forecasting; deep learning
2729	Self-Adapting Language Models Authors: Adam Zweiger; Jyothish Pari; Han Guo; Yoon Kim; Pulkit Agrawal Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: llms; ml; adaptation; meta learning; synthetic data; finetuning; continual learning; reinforcement learning; knowledge editing
2730	Self-Challenging Language Model Agents Authors: Yifei Zhou; Sergey Levine; Jason E Weston; Xian Li; Sainbayar Sukhbaatar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Agent; self-improvement; multi-turn tool-use
2731	Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Authors: Jun Wang; Liang Ding; Shuai Wang; Hongyu Li; Yong Luo; Huangxuan Zhao; Han Hu; Bo Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual Learning; Large Language Models; Pseudo Sample Rehearsal; Similarity Regularization
2732	Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Authors: Vishnu Sarukkai; Zhiqiang Xie; Kayvon Fatahalian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: language models; agents; self-improvement; in-context learning; sequential decision-making
2733	Self-Guided Hierarchical Exploration for Generalist Foundation Model Web Agents Authors: Qianlan Yang; Xiangjun Wang; Danielle Perszyk; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Web Agent; Foundation Models; VLM; Reinforcement Learning
2734	Self-Refining Language Model Anonymizers via Adversarial Distillation Authors: Kyuyoung Kim; Hyunjun Jeon; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: privacy; anonymization; distillation; large language models; small language models
2735	Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning Authors: Achleshwar Luthra; Tianbao Yang; Tomer Galanti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: contrastive learning; self-supervised learning; neural collapse
2736	Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration Authors: Wenjie Li; Xiangyi Wang; Heng Guo; Guangwei Gao; Zhanyu Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Old-Photo Face Restoration
2737	Self-Verifying Reflection Helps Transformers with CoT Reasoning Authors: Zhongwei Yu; Wannian Xia; Xue Yan; Bo XU; Haifeng Zhang; Yali Du; Jun Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: chain-of-thought; reasoning; reflection; verification; transformer
2738	Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization Authors: Pritam Sarkar; Ali Etemad Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimoda large language models; large multimodal models; large video language models; large vision language models; video understanding; post-training; alignm…
2739	Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens Authors: Bohan Wang; Mingze Zhou; Zhongqi Yue; Wang Lin; Kaihang Pan; Liyu Jia; Wentao Hu; Wei Zhao; Hanwang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tokenizer; MLLM; Reinforcement Learning
2740	Semantic-guided Diverse Decoding for Large Language Model Authors: Weijie Shi; Yue Cui; Yaguang Wu; Jingzhi Fang; Shibo Zhang; Mengze Li; Sirui Han; Jia Zhu; Jiajie Xu; Xiaofang Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diverse Decoding; Sampling Strategy; Large Language Model
2741	Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning Authors: Junhao Shen; Haiteng Zhao; Yuzhe Gu; Songyang Gao; Kuikun Liu; Haian Huang; Jianfei Gao; Dahua Lin; Wenwei Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large vision-language model; Slow-thinking reasoning
2742	Semi-supervised Graph Anomaly Detection via Robust Homophily Learning Authors: GuoguoAi; Hezhe Qiao; Hui Yan; Guansong Pang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Anomaly Detection; Adaptive Graph Neural Networks; Frequency; One-class classification
2743	Sequence Modeling with Spectral Mean Flows Authors: Jinwoo Kim; Max Beier; Petar Bevanda; Nayun Kim; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: sequence modeling; time series; hidden Markov models; mean embeddings; linear operators; maximum mean discrepancy; gradient flows
2744	Set-LLM: A Permutation-Invariant LLM Authors: Beni Egressy; Jan Stühmer Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Large Language Models; LLM evaluator; LLM as a Judge; Permutation Invariance; Attention
2745	Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis Authors: Dong Yang; YIYI CAI; Yuki Saito; Lixu Wang; Hiroshi Saruwatari Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: text-to-speech; speech synthesis; flow matching; coarse-to-fine; generative model
2746	Shape it Up! Restoring LLM Safety during Finetuning Authors: ShengYun Peng; Pin-Yu Chen; Jianfeng Chi; Seongmin Lee; Duen Horng Chau Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; LLM finetuning; LLM finetuning risks; harmful finetuning; guardrail; safe guard; safety shaping
2747	ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models Authors: Bosong Huang; Ming Jin; Yuxuan Liang; Johan Barthelemy; Debo Cheng; Qingsong Wen; Chenghao Liu; Shirui Pan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Explainability; Time Series Classification; Shapelet
2748	Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents Authors: Yun Hua; Haosheng Chen; Shiqin Wang; Wenhao Li; Xiangfeng Wang; Jun Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Multi-Agent Systems; Mechanism Design
2749	SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes Authors: Yifan Yang; Zhen Zhang; Rupak Vignesh Swaminathan; Jing Liu; Nathan Susanj; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision-language models; prompt-tuning; black-box optimization; zeroth-order optimization
2750	Sherlock: Self-Correcting Reasoning in Vision-Language Models Authors: Yi Ding; Ruqi Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Self-Correction; Reasoning; Chain of Thought
2751	ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On Authors: Yuhan Li; Zhiyu Jin; Yifan Tong; Wenxiang Shang; Benlei Cui; Xuanhong Chen; Zhu Hangcheng; Bingbing Ni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; virtual try-on; controllable generation
2752	Shortcutting Pre-trained Flow Matching Diffusion Models is Almost Free Lunch Authors: Xu Cai; Yang Wu; Qianli Chen; Haoran Wu; Lichuan Xiang; Hongkai Wen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion; flow-matching; distillation; fast inference
2753	ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning Authors: Jingyang Yi; Justin Wang; Sida Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Efficient Inference Methods; Reinforcement Learning
2754	ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models Authors: Hongbo Liu; Jingwen He; Yi Jinn; Dian Zheng; Yuhao Dong; Fan Zhang; Ziqi Huang; Yinan He; Weichao Chen; Yu Qiao; Wanli Ouyang; Shengjie Zhao; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; cinematography understanding; VLM
2755	Show-o2: Improved Native Unified Multimodal Models Authors: Jinheng Xie; Zhenheng Yang; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large langauge models; Diffusion models; Unified multimodal models
2756	Siegel Neural Networks Authors: Xuan Son Nguyen; Aymeric Histace; Nistor Grozavu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural networks; Siegel spaces; Symmetric spaces; Riemannian manifolds
2757	Sign-In to the Lottery: Reparameterizing Sparse Training Authors: Advait Gadhikar; Tom Jacobs; Chao Zhou; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: pruning at initialization; sparse training; lottery ticket hypothesis; mirror flow; reparameterization; sign flips
2758	SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction Authors: Yixiao Zhou; Xiaoqing Lyu; Hongxiang Lin; Huiying Hu; Tuo Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Link sign prediction; Subgraph representation learning
2759	SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models Authors: HAOTIAN XU; Qingsong Peng; Jie Shi; Huadi Zheng; YU LI; Cheng Zhuo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Security; Bit-Flip Attack; Stealthy Attack
2760	Sim-LLM: Optimizing LLM Inference at the Edge through Inter-Task KV Reuse Authors: Ruikun Luo; Changwei Gu; Qiang He; Feifei Chen; Song Wu; Hai Jin; Yun Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; KV cache; Task Similarity; Edge Computing
2761	Simple and Efficient Heterogeneous Temporal Graph Neural Network Authors: YiliWang; Tairan Huang; Changlong He; Qiutong Li; Jianliang Gao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Heterogeneous Temporal Graph; Representations Learning
2762	SingRef6D: Monocular Novel Object Pose Estimation with a Single RGB Reference Authors: Jiahui Wang; Haiyue Zhu; Haoren Guo; Abdullah Al Mamun; Cheng Xiang; Tong Heng LEE Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Depth Estimation; 6D Pose Estimation; Novel Object Pose Estimation
2763	Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity Authors: Seonghoon Yu; Dongjun Nam; Dina Katabi; Jeany Son Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: knowledge distillation; knowledge augmentation; angular diversity
2764	Sinusoidal Initialization, Time for a New Start Authors: Alberto Fernández-Hernández; Jose I. Mestre; Manuel F. Dolz; José Duato; Enrique S. Quintana-Orti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Initialization; Sinusoidal; Deep neural network; Activation
2765	SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning Authors: Wanjia Zhao; Mert Yuksekgonul; Shirley Wu; James Zou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Agent; Self-Improving; LLM Reasoning
2766	Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks Authors: Ryien Hosseini; Filippo Simini; Venkatram Vishwanath; Rebecca Willett; Henry Hoffmann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph neural networks; learning on graphs; random projection
2767	SkyLadder: Better and Faster Pretraining via Context Window Scheduling Authors: Tongyao Zhu; Qian Liu; Haonan Wang; Shiqi Chen; Xiangming Gu; Tianyu Pang; Min-Yen Kan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: pretraining; language models; context window
2768	Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation is Wasteful Authors: Martin Marek; Sanae Lotfi; Aditya Somasundaram; Andrew Gordon Wilson; Micah Goldblum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: batch size; language model; LLM; SGD; Adam
2769	Small Singular Values Matter: A Random Matrix Analysis of Transformer Models Authors: Max Staats; Matthias Thamm; Bernd Rosenow Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Random matrix theory; RMT; Llama 3; Spectra; singular value decomposition
2770	Smooth Regularization for Efficient Video Recognition Authors: Gil Goldman; Raja Giryes; Mahadev Satyanarayanan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video recognition; Temporal smoothness regularization; Temporal coherence; Lightweight video models
2771	Soft Task-Aware Routing of Experts for Equivariant Representation Learning Authors: Jaebyeong Jeon; Hyeonseo Jang; Jy-yong Sohn; Kibok Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: equivariant representation learning; self-supervised learning; contrastive learning
2772	Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space Authors: Zhen Zhang; Xuehai He; Weixiang Yan; Ao Shen; Chenyang Zhao; Xin Eric Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Chain-of-thought; Reasoning; Efficiency; Continous Space Reasoning
2773	Soft-consensual Federated Learning for Data Heterogeneity via Multiple Paths Authors: Sheng Huang; Lele Fu; Fanghua Ye; Tianchi Liao; Bowen Deng; zhangchuanfu; Chuan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated learning; data heterogeneity; soft consensus; multiple-solving paths
2774	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search Authors: Dong Li; Xujiang Zhao; Linlin Yu; Yanchi Liu; Wei Cheng; Zhengzhang Chen; Zhong Chen; Feng Chen; Chen Zhao; Haifeng Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MCTS; LLM; Optimization Problem
2775	Solving Inverse Problems with FLAIR Authors: Julius Erbach; Dominik Narnhofer; Andreas Robert Dombos; Bernt Schiele; Jan Eric Lenssen; Konrad Schindler Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: inverse problems; diffusion models; flow models; stable diffusion; posterior sampling; variational inference; score distillation sampling
2776	Solving Partial Differential Equations via Radon Neural Operator Authors: Wenbin Lu; Yihan Chen; Junnan Xu; Wei Li; Junwei Zhu; Jianwei Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Operator; Radon Transform
2777	Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention Authors: Chong You; Kan Wu; Zhipeng Jia; Lin Chen; Srinadh Bhojanapalli; Jiaxian Guo; Utku Evci; Jan Wassenberg; Praneeth Netrapalli; Jeremiah J. Willcock; Suvinay Subramanian; Felix Chern… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; activation sparsity
2778	Sparse Image Synthesis via Joint Latent and RoI Flow Authors: Ziteng Gao; Jay Zhangjie Wu; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; flow matching; sparse diffusion; sparse generation
2779	SparseDiT: Token Sparsification for Efficient Diffusion Transformer Authors: Shuning Chang; Pichao WANG; Jiasheng Tang; Fan Wang; Yi Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Transformer; Sparse Tokens; Efficient DiT
2780	Spatially-aware Weights Tokenization for NeRF-Language Models Authors: Andrea Amaduzzi; Pierluigi Zama Ramirez; Giuseppe Lisanti; Samuele Salti; Luigi Di Stefano Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; LLM; NeRF
2781	SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback Authors: Bo Lv; Nayu Liu; Chen Tang; Xin Liu; Yue Yu; Ping Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 官方列表未公开
2782	SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking Authors: Rishabh Agrawal; Kaushik Tushar Ranade; Aja Khanal; Kalyan Shankar Basu; Apurva Narayan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-agent systems; formal verification; temporal logic; specification generation; model-checking; Large Language Models
2783	Spectral Conditioning of Attention Improves Transformer Performance Authors: Hemanth Saratchandran; Simon Lucey Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: spectral conditioning; attention
2784	Speculate Deep and Accurate: Lossless and Training-Free Acceleration for Offloaded LLMs via Substitute Speculative Decoding Authors: Pei-Shuo Wang; Jian-Jia Chen; Chun-Che Yang; Chi-Chih Chang; Ning-Chi Huang; Mohamed S. Abdelfattah; Kai-Chiang Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: speculative decoding; offloading; quantization; compression; large language models; inference
2785	Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation Authors: Yao Teng; Fu-Yun Wang; Xian Liu; Zhekai Chen; Han Shi; Yu Wang; Zhenguo Li; Weiyang Liu; Difan Zou; Xihui Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Acceleration; Auto-regressive Model; Text-to-image Generation
2786	SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing Authors: Sung-Hoon Yoon; Minghan Li; Gaspard Beaudouin; Congcong Wen; Muhammad Rafay Azhar; Mengyu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Editing; Flow Matching; Rectified Flow
2787	Spotlight Attention: Towards Efficient LLM Generation via Non-linear Hashing-based KV Cache Retrieval Authors: Wenhao Li; Yuxin Zhang; Gen Luo; Haiyuan Wan; ZiYang Gong; Fei Chao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV Cache Compression; Efficient Attention
2788	Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM Alignment Authors: Xu Chu; Zhixin Zhang; Tianyu Jia; Yujie Jin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data-Efficient; Alignment; Large Language Models; Stackelberg Games
2789	State Size Independent Statistical Error Bound for Discrete Diffusion Models Authors: Shintaro Wakasugi; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: discrete diffusion models; score estimation; distribution estimation; approximation theory
2790	State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding Authors: Jiahuan Zhou; Kai Zhu; Zhenyu Cui; Zichen Liu; Xu Zou; Gang Hua Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Computer Vision and Pattern Recognition
2791	StateSpaceDiffuser: Bringing Long Context to Diffusion World Models Authors: Nedko Savov; Naser Kazemi; Deheng Zhang; Danda Pani Paudel; Xi Wang; Luc Van Gool Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: world model; state-space model; long context; generative model; computer vision
2792	Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification Authors: Xiaobao Wang; Ruoxiao Sun; Yujun Zhang; Bingdao Feng; Dongxiao He; Luzhi Wang; Di Jin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Backdoor Attacks; Stealthy Trigger
2793	Steering Information Utility in Key-Value Memory for Language Model Post-Training Authors: Chunyuan Deng; Ruidi Chang; Hanjie Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Interpretability; Intervention; Model Steering; Language Models; Post-Training
2794	Stepsize anything: A unified learning rate schedule for budgeted-iteration training Authors: Anda Tang; Yiming Dong; Yutao Zeng; zhou Xun; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: learning rate schedule; budgeted-iteration training; networks optimization
2795	Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning Authors: Jie Cheng; Gang Xiong; Ruixi Qiao; Lijun Li; Chao Guo; Junle Wang; Yisheng Lv; Fei-Yue Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; reasoning; process reward model
2796	Strassen Attention, Split VC Dimension and Compositionality in Transformers Authors: Alexander Kozachinskiy; Felipe Urrutia; Hector Ignacio Jimenez Orellana; Tomasz Steifer; Germán Pizarro; Matías Daniel Fuentes Álvarez; Francisco Meza Vásquez; Cristian Buc Calder… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformers; compositionality; attention mechanisms; lower bounds
2797	StreamBP: Memory-Efficient Exact Backpropagation for Long Sequence Training of LLMs Authors: Qijun Luo; Mengqi Li; Lei Zhao; Xiao Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Memory efficiency; long sequence training; training reasoning LLMs
2798	StreamFlow: Streaming Audio Generation from Discrete Tokens via Streaming Flow Matching Authors: Ha-Yeong Choi; Sang-Hoon Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Streaming Generation; Streaming Flow Matching; Neural Audio Codec; Speech Language Models; Generative Models
2799	Struct2D: A Perception-Guided Framework for Spatial Reasoning in MLLMs Authors: Fangrui Zhu; Hanhui Wang; Yiming Xie; Jing Gu; Tianye Ding; Jianwei Yang; Huaizu Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal learning; spatial reasoning; multimodal large language models
2800	Structural Entropy Guided Agent for Detecting and Repairing Knowledge Deficiencies in LLMs Authors: Yifan Wei; Xiaoyan Yu; Tengfei Pan; Angsheng Li; Li Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Synthetic Data Generation; llm-agents; self-inprovement; MCTS
2801	Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning Authors: Zihao Jing; Yan Sun; Yan Yi Li; Sugitha Janarthanan; Alana Deng; Pingzhao Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Molecular Property Prediction; Structured Fusion; Cross-Attention; Mamba; 3D Robustness; Low-Resource Pretraining
2802	Structured Initialization for Vision Transformers Authors: Jianqiao Zheng; Xueqian Li; Hemanth Saratchandran; Simon Lucey Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformers; Weight Initialization; Attention Mechanism; Convolutional Neural Networks; Inductive Bias
2803	Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection Authors: Dongchan Cho; Jiho Han; Keumyeong Kang; Minsang Kim; Honggyu Ryu; Namsoon Jung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multivariate Time Series; Anomaly Detection; Unsupervised learning
2804	SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training Authors: Sahar Rajabi; Nayeema Nonta; Sirisha Rambhatla Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; memory-efficient training; low-rank optimization; gradient projection
2805	Subspace Networks: Scaling Decentralized Training with Communication-Efficient Model Parallelism Authors: Sameera Ramasinghe; Thalaiyasingam Ajanthan; Gil Avraham; Yan Zuo; Alexander Long Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Decentralized training; Distributed training; LLMs; Pipeline Parallel; Compression
2806	SuperCLIP: CLIP with Simple Classification Supervision Authors: Weiheng Zhao; Zilong Huang; Jiashi Feng; Xinggang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 官方列表未公开
2807	Support Vector Generation: Kernelizing Large Language Models for Efficient Zero‑Shot NLP Authors: Shohei Ohsawa Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Zero-shot Learning; Kernel Machines; Large Language Models; Support Vector Generation; Resource-constrained NLP
2808	SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Authors: Xiao Liang; Zhong-Zhi Li; Yeyun Gong; Yang Wang; Hengyuan Zhang; yelong shen; Ying Nian Wu; Weizhu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; LLM Reasoning; Data Synthesis
2809	Switchable Token-Specific Codebook Quantization For Face Image Compression Authors: Yongbo Wang; Haonan Wang; Guodong Mu; Ruixin Zhang; Chen Jiaqi; Jingyun Zhang; Jun Wang; Yuan Xie; zhizhong zhang; Shouhong Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: image compression; image tokenization
2810	SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Authors: Junteng Liu; Yuanxiang Fan; Zhuo Jiang; Han Ding; Yongyi Hu; Chi Zhang; Yiqi Shi; Shitong Weng; Aili Chen; Shiqi Chen; Mozhi Zhang; Pengyu Zhao; Junxian He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; reinforcement learning; reasoning; logical reasoning; data synthesis
2811	SyncHuman: Synchronizing 2D and 3D Generative Models for Single-view Human Reconstruction Authors: Wenyue Chen; Peng Li; Wangguandong Zheng; Chengfeng Zhao; Mengfei Li; Yaolong Zhu; Zhiyang Dou; Ronggang Wang; Yuan Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D Human Reconstruction; Diffusion Model; Generation Model
2812	Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers Authors: Yongqi Ding; Lin Zuo; Mengmeng Jing; Kunshan Yang; Pei He; Tonglan Xie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spiking Neural Networks; Neuromorphic Computing; Self-Distillation
2813	Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning Authors: Hua Ye; Siyuan Chen; Haoliang Zhang; Weihao Luo; Yanbin Li; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Fine-Tuning; Multi-Domain
2814	Synthetic Series-Symbol Data Generation for Time Series Foundation Models Authors: Wenxuan Wang; Kai Wu; Yujian Betterest Li; Dan Wang; Xiaoyu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Analysis; Foundation Model; Data Scarcity
2815	System Prompt Optimization with Meta-Learning Authors: Yumin Choi; Jinheon Baek; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Prompt Optimization; Meta-Learning; System Prompt Optimization
2816	System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts Authors: Xiaoqiang Wang; Suyuchen Wang; Yun Zhu; Bang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Reasoning Model; Latent-space Reasoning; Implicit Chain-of-Thought; Dynamic Early Exit; Conditional Computation
2817	System-Embedded Diffusion Bridge Models Authors: Bartlomiej Sobieski; Matthew Tivnan; Yuang Wang; Siyeop yoon; Pengfei Jin; Dufan Wu; Quanzheng Li; Przemyslaw Biecek Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion; generative; inverse; problems; image; translation; restoration; linear; system; bridge
2818	Systematic Reward Gap Optimization for Mitigating VLM Hallucinations Authors: Lehan He; Zeren Chen; Zhelun Shi; Tianyu Yu; Jing Shao; Lu Sheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Language Models (VLMs); Preference learning; Hallucination mitigation; Reinforcement Learning from AI Feedback (RLAIF)
2819	T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning Authors: Yanjun Fu; Faisal Hamman; Sanghamitra Dutta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Instruction tuning; Data Selection; Token-selective Quality Score; Robust Hierarchical Selection
2820	T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Authors: Dongzhi Jiang; Ziyu Guo; Renrui Zhang; Zhuofan Zong; Hao Li; Le Zhuo; Shilin Yan; Pheng-Ann Heng; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autoregressive Image Generation; Chain-of-Thought (CoT) Reasoning; Multimodal Large Language Model
2821	T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks Authors: Jiayang Liu; Siyuan Liang; Shiqian Zhao; Rong-Cheng Tu; Wenbo Zhou; Aishan Liu; Dacheng Tao; Siew Kei Lam Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: jailbreak; text-to-video model; safety filter
2822	TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics Authors: Tianrong Chen; Huangjie Zheng; David Berthelot; Jiatao Gu; Joshua M. Susskind; Shuangfei Zhai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; ODE; SDE; dynamics system
2823	TANDEM: Bi-Level Data Mixture Optimization with Twin Networks Authors: Jiaxing Wang; Deping Xiang; Jin Xu; Mingyang Yi; Guoqiang Gong; Zicheng Zhang; Haoran Li; pengzhang liu; Zhen Chen; Ke Zhang; Ju Fan; Qixia Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: data mixture optimization; language models
2824	TARFVAE: Efficient One-Step Generative Time Series Forecasting via TARFLOW based VAE Authors: Jiawen Wei; Lan Jiang; Pengbo Wei; Ziwen Ye; Teng Song; Chen Chen; Guangrui Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series forecasting; generative model; normalizing flow; variational autoencoder
2825	TC-Light: Temporally Coherent Generative Rendering for Realistic World Transfer Authors: Yang Liu; Chuanchen Luo; Zimo Tang; Yingyan Li; yuran Yang; Yuanyong Ning; Lue Fan; Junran Peng; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video relighting; video editing; diffusion; highly dynamic; world-to-world transfer
2826	TF-MAS: Training-free Mamba2 Architecture Search Authors: Yi Fan; Yu-Bin Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural architecture search; training-free; Mamba2; mapping matrix; hyperparameter ranges
2827	TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval Authors: Jialin Chen; Ziyu Zhao; Gaukhar Nurbek; Aosong Feng; Ali Maatouk; Leandros Tassiulas; Yifeng Gao; Rex Ying Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series analysis; multimodal retrieval
2828	TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming Authors: Zeyuan Yin; Xiaoming Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D Generation; Gaussian Splatting; Stable Diffusion; Inference-Time Scaling
2829	TRUST: Test-Time Refinement using Uncertainty-Guided SSM Traverses Authors: Sahar Dastani; Ali Bahri; Gustavo Adolfo Vargas Hakim; Moslem Yazdanpanah; Mehrdad Noori; David OSOWIECHI; Samuel Barbeau; Ismail Ben Ayed; Herve Lombaert; Christian Desrosiers Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Structured State-Space Models; VMamba; Test-Time Adaptation; Distribution Shift
2830	TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Authors: Kanghui Ning; Zijie Pan; Yu Liu; Yushan Jiang; James Y. Zhang; Kashif Rasul; Anderson Schneider; Lintao Ma; Yuriy Nevmyvaka; Dongjin Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Foundation Model; Retrieval-Augmented Generation
2831	TTRL: Test-Time Reinforcement Learning Authors: Yuxin Zuo; Kaiyan Zhang; Li Sheng; Shang Qu; Ganqu Cui; Xuekai Zhu; Haozhan Li; Yuchen Zhang; Xinwei Long; Ermo Hua; Biqing Qi; Youbang Sun; Zhiyuan Ma; Lifan Yuan; Ning Ding; Bow… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Test-Time Training; Large Language Model
2832	TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation Authors: Yehjin Shin; Jeongwhan Choi; Seojin Kim; Noseong Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Sequential Recommendation; Graph Signal Processing
2833	TabDPT: Scaling Tabular Foundation Models on Real Data Authors: Junwei Ma; Valentin Thomas; Rasa Hosseinzadeh; Alex Labach; Jesse C. Cresswell; Keyvan Golestan; Guangwei Yu; Anthony L. Caterini; Maksims Volkovs Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tabular Foundation Models; In-Context Learning; Self Supervised Learning
2834	TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields Authors: Alan Arazi; Eilam Shapira; Roi Reichart Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tabular data; tabular foundation model; deep learning
2835	Table as a Modality for Large Language Models Authors: Liyao Li; Chao Ye; Wentao Ye; Yifei Sun; Zhe Jiang; Haobo Wang; Jiaming Tian; Yiming Zhang; NINGTAO WANG; Xing Fu; Gang Chen; Junbo Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Table reasoning
2836	Taming generative video models for zero-shot optical flow extraction Authors: Seungwoo Kim; Khai Loong Aw; Klemen Kotar; Cristobal Eyzaguirre; Wanhee Lee; Yunong Liu; Jared Watrous; Stefan Stojanov; Juan Carlos Niebles; Jiajun Wu; Daniel LK Yamins Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: optical flow; generative models
2837	Tapered Off-Policy REINFORCE - Stable and efficient reinforcement learning for large language models Authors: Nicolas Le Roux; Marc G Bellemare; Jonathan Lebensold; Arnaud Bergeron; Joshua Greaves; Alexandre Fréchette; Carolyne Pelletier; Eric Thibodeau-Laufer; Sándor Tóth; Sam Work Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: reinforce; large language models; verifier; ppo; off-policy; rlhf
2838	Task-Specific Data Selection for Instruction Tuning via Monosemantic Neuronal Activations Authors: Da Ma; Gonghu Shang; Zhi Chen; Libo Qin; Yijie LUO; Hongshen Xu; Lei Pan; Shuai Fan; Kai Yu; Lu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data selection; Instruction tuning; Sparse Autoencoder; Neuronal activation states
2839	Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error Authors: Panagiotis Giannoulis; Yorgos Pantis; Christos Tzamos Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Transformers; Combinatorial; Sudoku; SAT
2840	Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context Authors: Taejong Joo; Diego Klabjan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: In-Context Learning; Transformer; Large-Language Model; Long Context; Many-Shot ICL; Scaling; Meta Learning
2841	Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models Authors: Kinam Kim; Junha Hyung; Jaegul Choo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion; Video Diffusion; Flow Matching; In context learning
2842	Tensor-Parallelism with Partially Synchronized Activations Authors: Itay Lamprecht; Asaf Karnieli; Yair Hanani; Niv Giladi; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Distributed Training; Tensor-Parallelism
2843	Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation Authors: Mehrdad Noori; David OSOWIECHI; Gustavo Adolfo Vargas Hakim; Ali Bahri; Moslem Yazdanpanah; Sahar Dastani; Farzad Beizaee; Ismail Ben Ayed; Christian Desrosiers Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Computer Vision; Segmentation; Test Time Adaptation; Vision Language Models
2844	Test-Time Scaling of Diffusion Models via Noise Trajectory Search Authors: Vignav Ramesh; Morteza Mardani Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; test-time scaling; Markov decision process; contextual bandit; optimization; search; MCTS; epsilon-greedy
2845	The Curse of Depth in Large Language Models Authors: Wenfang Sun; Xinyuan Song; Pengxiang Li; Lu Yin; Yefeng Zheng; Shiwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: curse of depth; LLMs; Pre-LN
2846	The Dual Nature of Plasticity Loss in Deep Continual Learning: Dissection and Mitigation Authors: Haoyu Wang; Wei P Dai; Jiawei Zhang; Jialun Ma; Mingyi Huang; Yuguo Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Deep Continual Learning; Loss of Plasticity; Finite-time Lyapunov Exponent
2847	The Emergence of Abstract Thought in Large Language Models Beyond Any Language Authors: Yuxin Chen; Yiran Zhao; Yang Zhang; An Zhang; Kenji Kawaguchi; Shafiq Joty; Junnan Li; Tat-Seng Chua; Michael Qizhe Shieh; Wenxuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Language-Agnostic Neuron; Abstract Thought
2848	The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models Authors: Ke Ji; Jiahao Xu; Tian Liang; Qiuzhi Liu; Zhiwei He; Xiaoyuan Liu; Xingyu Chen; Junying Chen; Benyou Wang; Zhaopeng Tu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Efficient Reasoning; Unsupervised Learning
2849	The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Authors: Parshin Shojaee; Seyed Iman Mirzadeh; Keivan Alizadeh; Maxwell Horton; Samy Bengio; Mehrdad Farajtabar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; Large Language Models
2850	The Indra Representation Hypothesis for Multimodal Alignment Authors: Jianglin Lu; Hailing Wang; Kuo Yang; Yitian Zhang; Simon Jenni; Yun Fu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Foundation Models; Representation Learning; Multimodal Alignment; Representation Convergence
2851	The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement Authors: Ruihan Yang; Fanghua Ye; Jian Li; Siyu Yuan; Yikai Zhang; Zhaopeng Tu; Xiaolong Li; Deqing Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; Language agent; Agent learning
2852	The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control Authors: Ruili Feng; Han Zhang; Zhilei Shu; Zhantao Yang; Longxiang Tang; Zhicai Wang; Andy Zheng; Jie Xiao; Zhiheng Liu; Ruihang Chu; Yukun Huang; Yu Liu; Hongyang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: World Models; Video Generation Models
2853	The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs? Authors: Hao Yin; Guangzong Si; Zilei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Object Hallucination; Multimodal Large Language Model
2854	The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models Authors: Alessandro Pietro Serra; Francesco Ortu; Emanuele Panizon; Lucrezia Valeriani; Lorenzo Basile; Alessio ansuini; Diego Doimo; Alberto Cazzaniga Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Computer Vision; Visual-Language Model; Interpretability; Native Multimodal Models
2855	The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training Authors: Weize Chen; Jiarui Yuan; Tailin Jin; Ning Ding; Huimin Chen; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: token compression; efficient reasoning; reinforcement learning; inference scaling
2856	The Quest for Universal Master Key Filters in DS-CNNs Authors: Zahra Babaiee; Peyman Kiasari; Daniela Rus; Radu Grosu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Convolutional Neural Networks; Depthwise Separable Convolutions; Gaussian Derivatives
2857	The Rise of Parameter Specialization for Knowledge Storage in Large Language Models Authors: Yihuai Hong; Yiran Zhao; Wei Tang; Yang Deng; Yu Rong; Wenxuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Interpretability; Knowledge Storation in LLM
2858	The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning Authors: Xinyu Zhu; Mengzhou Xia; Zhepei Wei; Wei-Lin Chen; Danqi Chen; Yu Meng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; LLM Reasoning
2859	The quest for the GRAph Level autoEncoder (GRALE) Authors: Paul Krzakala; Gabriel Melo; Charlotte Laclau; Florence d'Alché-Buc; Rémi Flamary Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph; Graphs; AutoEncoder; Encoder-Decoder; Deep Learning; Optimal Transport; Attention; Representation Learning; Graph Matching; Combinatorial
2860	Theoretical Benefit and Limitation of Diffusion Language Model Authors: Guhao Feng; Yihan Geng; Jian Guan; Wei Wu; Liwei Wang; Di He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Discrete Diffusion Model; Efficiency; Masked Diffusion Model; Language Modeling; Metrics for NLP
2861	ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation Authors: Jiuhong Xiao; Roshan Nayak; Ning Zhang; Daniel Toertei; Giuseppe Loianno Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image Translation; Thermal Infrared Imagery; Flow-Based Generative Model; Remote Sensing; Multi-Dataset Joint Training
2862	Think Only When You Need with Large Hybrid-Reasoning Models Authors: Lingjie Jiang; Xun Wu; Shaohan Huang; Qingxiu Dong; Zewen Chi; Li Dong; Xingxing Zhang; Tengchao Lv; Lei Cui; Furu Wei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hybrid Reasoning; Large Reasoning Models; Reinforcement Learning
2863	Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains Authors: Wenhui Tan; Jiaze Li; Jianzhong Ju; Zhenbo Luo; Ruihua Song; Jian Luan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; LLM Reasoning
2864	Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models Authors: Ilgee Hong; Changlong Yu; Liang Qiu; Weixiang Yan; Zhenghao Xu; Haoming Jiang; Qingru Zhang; Qin Lu; Xin Liu; Chao Zhang; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Reward Models; Large Language Models; Reasoning; RLHF
2865	Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction Authors: Junhong Shen; Hao Bai; Lunjun Zhang; Yifei Zhou; Amrith Setlur; Shengbang Tong; Diego Caples; Nan Jiang; Tong Zhang; Ameet Talwalkar; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Agent; Web Agent; Reasoning
2866	Thinkless: LLM Learns When to Think Authors: Gongfan Fang; Xinyin Ma; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; Reasoning Models; Hybrid Reasoning; Reinforcement Learning; Efficienct Deep Learning
2867	This Time is Different: An Observability Perspective on Time Series Foundation Models Authors: Ben Cohen; Emaad Khwaja; Youssef Doubli; Salahidine Lemaachi; Chris Lettieri; Charles Masson; Hugo Miccinilli; Elise Ramé; Qiqi Ren; Afshin Rostamizadeh; Jean Ogier du Terrail; An… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series; foundation models; observability; benchmark dataset
2868	Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training Authors: Minhak Song; Beomhan Baek; Kwangjun Ahn; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model; Pretraining; Schedule-Free; Learning Rate Schedules; Weight Averaging; Optimization Dynamics; Loss Landscape
2869	TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning Authors: Andreas Auer; Patrick Podest; Daniel Klotz; Sebastian Böck; Günter Klambauer; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: xLSTM; Time Series Forecasting; Zero-Shot Forecasting; Pre-Trained Models
2870	Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels Authors: Maximilian Beck; Korbinian Pöppel; Phillip Lippe; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: xLSTM; FlashLinearAttention; FlashAttention; Linear Attention; Linear RNN; RNN; mLSTM; Attention; Self-Attention; Transformers; LLM; Kernels; Systems; Efficien…
2871	Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach Authors: Tal Gonen; Itai Pemper; Ilan Naiman; Nimrod Berman; Omri Azencot Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series analysis; time series generation; few shot generation; unified training
2872	TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting Authors: Mingyuan Xia; Chunxu Zhang; Zijian Zhang; Hao Miao; Qidong Liu; Yuanshao Zhu; Bo Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time series forecasting; Frequency domain analysis; Disentangled representation learning
2873	TimePerceiver: An Encoder-Decoder Framework for Generalized Time-Series Forecasting Authors: Jaebin Lee; Hankook Lee Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Forecasting; Transformer; Attention; Self-Supervised Learning
2874	TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop Authors: Yushan Jiang; Wenchao Yu; Geon Lee; Dongjin Song; Kijung Shin; Wei Cheng; Yanchi Liu; Haifeng Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multi-modal time series prediction; explanations; prototypes; large language models
2875	Timely Clinical Diagnosis through Active Test Selection Authors: Silas Ruhrberg Estévez; Nicolás Astorga; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Clinical Diagnosis; Bayesian Experimental Design; BED; Active learning
2876	Titans: Learning to Memorize at Test Time Authors: Ali Behrouz; Peilin Zhong; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention; Associative Memory; Long-term Memory; Hybrid Models
2877	Token Bottleneck: One Token to Remember Dynamics Authors: Taekyung Kim; Dongyoon Han; Byeongho Heo; Jeongeun Park; Sangdoo Yun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-supervised Learning; Representation Learning
2878	Token Embeddings Violate the Manifold Hypothesis Authors: Michael Robinson; Sourya Dey; Tony Chiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: token embedding; manifold hypothesis; statistical hypothesis test; point cloud
2879	Token Perturbation Guidance for Diffusion Models Authors: Javad Rajabi; Soroush Mehraban; Seyedmorteza Sadat; Babak Taati Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models; Diffusion Guidance; Guidance
2880	Token-Level Self-Play with Importance-Aware Guidance for Large Language Models Authors: Tue Le; Hoang Tran Vuong; Quyen Tran; Linh Ngo Van; Mehrtash Harandi; Trung Le Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Importance Sampling; Preference Learning
2881	TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Authors: Yuxiang Zhang; Zhengxu Yu; Weihang Pan; Zhongming Jin; Qiang Fu; Deng Cai; Binbin Lin; Jieping Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Efficient Reasoning; Chain-of-Thought; Large Language Models
2882	ToolRL: Reward is All Tool Learning Needs Authors: Cheng Qian; Emre Can Acikgoz; Qi He; Hongru WANG; Xiusi Chen; Dilek Hakkani-Tür; Gokhan Tur; Heng Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language Model Agent; Tool Use; Reward Design
2883	Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation Authors: Erfan Baghaei Potraghloo; Seyedarmin Azizi; Souvik Kundu; Massoud Pedram Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Truncated sampling; Decoding Strategies
2884	TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving Authors: Yanping Fu; Xinyuan Liu; Tianyu Li; Yike Ma; Yucheng Zhang; Feng Dai Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autonomous Driving
2885	Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties Authors: Gouki Minegishi; Hiroki Furuta; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Interpretability; Reasoning; LLM
2886	Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve Authors: Jingxuan Wang; Zhongke Wu; Wang Xing-Ce; Zhang Zeyao; Chunhao Zheng; Di Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tubular manifold; SE(3)-equivariant network，Graph neural network; Vessel classification
2887	Topology-aware Graph Diffusion Model with Persistent Homology Authors: Joonhyuk Park; Donghyun Lee; Yujee Song; Guorong Wu; Won Hwa Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Generation; Diffusion; Topology; Brain Network
2888	Tortoise and Hare Guidance: Accelerating Diffusion Model Inference with Multirate Integration Authors: Yunghee Lee; Byeonghyun Pak; Junwha Hong; Hoseong Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model solver; diffusion model inference; multirate method; classfier-free guidance
2889	Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction Authors: Yisen Gao; Xingcheng Fu; Qingyun Sun; Jianxin Li; Xianxian LI Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Generation; Hyperbolic Graph Learning; Riemannian Manifold; Graph Learning
2890	Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy Authors: Xiaoxiao Ma; Feng Zhao; Pengyang Ling; Haibo Qiu; Zhixiang Wei; Hu Yu; Jie Huang; Zhixiong Zeng; Lin Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: auto-regressive image generation; training-free; image generation
2891	Towards Fully FP8 GEMM LLM Training at Scale Authors: Alejandro Hernández-Cano; Dhia Garbaya; Imanol Schlag; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: FP8; LLMs; Training Dynamics; Quantization; Efficient Training
2892	Towards General Continuous Memory for Vision-Language Models Authors: Wenyi WU; Zixuan Song; Kun Zhou; Yifei Shao; Zhiting Hu; Biwei Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Multimodal Large Language Models; Multimodal Reasoning; Retrieval-Augmented Generation; Memory-Augmented Models
2893	Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge Authors: Nimrod Berman; Omkar Joglekar; Eitan Kosman; Dotan Di Castro; Omri Azencot Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Modality Translation; Diffusion Models; General Cross-Domain Generation; Latent Space
2894	Towards Generalizable Detector for Generated Image Authors: Qianshu Cai; Chao Wu; Yonggang Zhang; Jun Yu; Xinmei Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generated image detection; OOD detection; Learnable OOD detection
2895	Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Authors: Kai Wang; Siqiang Luo; Caihua Shan; Yifei Shen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Knowledge Graph; Graph Foundation Model; Graph Message Passing
2896	Towards Physical Understanding in Video Generation: A 3D Point Regularization Approach Authors: Yunuo Chen; Junli Cao; Vidit Goel; Sergei Korolev; Chenfanfu Jiang; Jian Ren; Sergey Tulyakov; Anil Kag Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation
2897	Towards Pre-trained Graph Condensation via Optimal Transport Authors: Yeyu Yan; Shuai Zheng; Wenjun Hui; Xiangkai Zhu; Dong Chen; Zhenfeng Zhu; Yao Zhao; Kunlun He Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Condensation; Data Condensation; Graph neural netwok
2898	Towards Reliable LLM-based Robots Planning via Combined Uncertainty Estimation Authors: Shiyuan Yin; Chenjia Bai; Zhang Zihao; Junwei Jin; Xinxin Zhang; Chi Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Language-based planning; Uncertainty Estimation; Uncertainty Quantification; Foundation Models for Decision Making
2899	Towards Reliable and Holistic Visual In-Context Learning Prompt Selection Authors: Wenxiao Wu; Jing-Hao Xue; Chengming Xu; Chen Liu; Xinwei Sun; Changxin Gao; Nong Sang; Yanwei Fu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual In-Context Learning; Jackknife Conformal Prediction; Covering Design
2900	Towards Self-Refinement of Vision-Language Models with Triangular Consistency Authors: Yunlong Deng; Guangyi Chen; Tianpei Gu; Lingjing Kong; Yan Li; Zeyu Tang; Kun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Self-Refinement; Unsupervised Learning
2901	Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning Authors: Wenkai Yang; Shuming Ma; Yankai Lin; Furu Wei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: test-time scaling; LLM reasoning
2902	Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN Authors: Wei Huang; Hanchen Wang; Dong Wen; Shaozhen Ma; Wenjie Zhang; Xuemin Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Edit Distance; Graph Neural Networks; Combinatorial Optimization
2903	Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds Authors: Rui Wang; Chen Hu; Xiaoning Song; Xiaojun Wu; Nicu Sebe; Ziheng Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Manifold Learning; Gyrovector Space; Attention Mechanism; Riemannian Manifold; Signal Classification
2904	Towards foundational LiDAR world models with efficient latent flow matching Authors: Tianran Liu; Shengwen Zhao; Nicholas Rhinehart Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LiDAR World Models; Generative models; Domain Adaption
2905	Tracing the Representation Geometry of Language Models from Pretraining to Post-training Authors: Melody Zixuan Li; Kumar Krishna Agrawal; Arna Ghosh; Komal Kumar Teru; Adam Santoro; Guillaume Lajoie; Blake Aaron Richards Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Phases of learning; Representation Learning; Learning Dynamics; Representation Geometry; Spectral Analysis; Memorization; Generalization…
2906	Tracing the Roots: Leveraging Temporal Dynamics in Diffusion Trajectories for Origin Attribution Authors: Andreas Floros; Seyed-Mohsen Moosavi-Dezfooli; Pier Luigi Dragotti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Models; Diffusion Models; Data Provenance
2907	Training Language Models to Reason Efficiently Authors: Daman Arora; Andrea Zanette Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning models; efficiency
2908	Training Robust Graph Neural Networks by Modeling Noise Dependencies Authors: Yeonjun In; Kanghoon Yoon; Sukwon Yun; Kibum Kim; Sungchul Kim; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: robust gnn; graph noise
2909	Training the Untrainable: Introducing Inductive Bias via Representational Alignment Authors: Vighnesh Subramaniam; David Mayo; Colin Conwell; Tomaso Poggio; Boris Katz; Brian Cheung; Andrei Barbu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Representational alignment; neural network optimization
2910	Training-Free Efficient Video Generation via Dynamic Token Carving Authors: Yuechen Zhang; Jinbo Xing; Bin Xia; Shaoteng Liu; Bohao PENG; Xin Tao; Pengfei Wan; Eric Lo; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generation; Training-Free; Efficient Generation; Diffusion Transformers
2911	Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models Authors: Yingqing Guo; Yukang Yang; Hui Yuan; Mengdi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: training-free guidance; inference-time scaling; diffusion models; flow models; tree search
2912	Training-Free Safe Denoisers for Safe Use of Diffusion Models Authors: Mingyu Kim; Dongjun Kim; Amman Yusuf; Stefano Ermon; Mijung Park Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Safety of Generative AI; Diffusion Models
2913	Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models Authors: Byeonghu Na; Mina Kang; Jiseok Kwak; Minsang Park; Jiwoo Shin; SeJoon Jun; Gayoung Lee; Jin-Hwa Kim; Il-chul Moon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; safe generation
2914	Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training Authors: Brian R. Bartoldson; Siddarth Venkatraman; James Diffenderfer; Moksh Jain; Tal Ben-Nun; Seanie Lee; Minsu Kim; Johan Obando-Ceron; Yoshua Bengio; Bhavya Kailkhura Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM; post-training; RL; async; off-policy; RLHF; reasoning
2915	Transformers Learn Faster with Semantic Focus Authors: Parikshit Ram; Kenneth L. Clarkson; Tim Klinger; Shashanka Ubaru; Alexander G. Gray Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: transformers; sparse attention; learning convergence; analysis
2916	Transforming Gaps into Gains: Bridging Model and Data Heterogeneity in Federated Learning via Knowledge Weak-Aware Zones Authors: Ke Li; Yan Ding; Zhiqin Zhu; Shenhai Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Heterogeneous Federated Learning; Knowledge Distillation; Cognitive Discrepancy
2917	Transforming Generic Coder LLMs to Effective Binary Code Embedding Models for Similarity Detection Authors: Litao Li; Leo Song; Steven Ding; Benjamin C. M. Fung; Philippe Charland Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: cybersecurity; embedding; binary code
2918	Transition Matching: Scalable and Flexible Generative Modeling Authors: Neta Shaul; Uriel Singer; Itai Gat; Yaron Lipman Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; flow matching; diffusion; large scale; multimodal
2919	Traversal Verification for Speculative Tree Decoding Authors: Yepeng Weng; Qiao Hu; Xujie Chen; Li Liu; Dianwen Mei; Huishi Qiu; Jiang Tian; zhongchao shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language model (LLM); speculative decoding; acceleration
2920	Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers Authors: Daniel D'souza; Julia Kreutzer; Adrien Morisot; Ahmet Üstün; Sara Hooker Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: large language models; controllability; generation conditioning; data taxonomy
2921	Tree of Preferences for Diversified Recommendation Authors: Hanyang Yuan; Ning Tang; Tongya Zheng; Jiarong Xu; Xintong Hu; Renhong Huang; Shunyu Liu; Jiacong Hu; Jiawei Chen; Mingli Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large language model; recommendation diversity
2922	TreeGen: A Bayesian Generative Model for Hierarchies Authors: Marcel Kollovieh; Nils Fleischmann; Filippo Guerranti; Bertrand Charpentier; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative models; hierarchies; jet clustering; flow matching
2923	Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs Authors: Yibo Wang; Hai-Long Sun; Guangda Huzhang; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Self-play Optimization; Natural Language Processing
2924	Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms Authors: Baran Hashemi; Kurt Pasque; Chris Teska; Ruriko Yoshida Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tropical Geometry; Neural Algorithmic Reasoning; Combinatorial Algorithms; Softmax; Transformers; Out-of-Distribution
2925	True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics Authors: Christoph Jürgen Hemmer; Daniel Durstewitz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Dynamical Systems; Dynamical Systems Reconstruction; Chaos; Recurrent Neural Networks; Foundation Model
2926	Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards Authors: Xiaoyuan Liu; Tian Liang; Zhiwei He; Jiahao Xu; Wenxuan Wang; Pinjia He; Zhaopeng Tu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLM Reasoning; RLVR; Self-verification
2927	Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning Authors: Chaoyang Li; Runze Ye; Jianyang Qin; Jinhao Cui; Lingzhi Wang; Ning Hu; Qing Liao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual Learning; parameter-efficient fine-tuning; Causal Learning
2928	Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising Authors: Mateo Clémente; Leo Maxime Brunswic; Rui Heng Yang; Xuan Zhao; Yasser H. Khalil; Haoyu LEI; Amir Rasouli; Yinchuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; shortcut models; fast diffusion; clipping; DDPM; diffusion policy; robotic manipulation; embodied AI; Unet; metaheuristic; genetic algorithm;…
2929	Týr-the-Pruner: Structural Pruning LLMs via Global Sparsity Distribution Optimization Authors: Guanchen Li; Yixing Xu; Zeping Li; Ji Liu; Xuanwu Yin; Dong Li; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Structural Pruning; Large Language Models; Sparsity Distribution Optimization
2930	U-REPA: Aligning Diffusion U-Nets to ViTs Authors: Yuchuan Tian; Hanting Chen; Mengyu Zheng; Yuchen Liang; Chao Xu; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Representation Alignment; U-Net; Transformer; Diffusion
2931	UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Authors: Yang Zhao; Kai Xiong; Xiao Ding; Li Du; YangouOuyang; Zhouhao Sun; Jiannan Guan; Wenbin Zhang; Bin Liu; Dong Hu; Bing Qin; Ting Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Data Selection; LLMs; Reinforcement Learning
2932	UFT: Unifying Supervised and Reinforcement Fine-Tuning Authors: Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reasoning; SFT; RFT
2933	UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification Authors: Xixi Wan; AIHUA ZHENG; Bo Jiang; Beibei Wang; Chenglong Li; Jin Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multi-Modal Object Re-Identification; Uncertainty-Guided Graph; Gaussian Patch-Graph Representation; Mixture of Experts; Uncertainty-Guided Routing
2934	UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis Authors: Tung Le; Tuan Pham; Tung Nguyen; Deying Kong; Xiaohui Xie; Stephan Mandt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Novel View Synthesis; Autoregressive Models; Diffusion Models.
2935	URLs Help, Topics Guide: Understanding Metadata Utility in LLM Training Authors: Dongyang Fan; Vinko Sabolčec; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Context-aware pretraining; LLM-pretraining; context guidance; controllable generation
2936	Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows Authors: Adriel Sosa Marco; John D. Kirwan; Alexia Toumpa; Simos Gerasimou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: uncertainty quantification; safe deep learning
2937	Uncertainty Quantification for Physics-Informed Neural Networks with Extended Fiducial Inference Authors: Frank Shih; Zhenghao Jiang; Faming Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adaptive Stochastic Gradient MCMC; Extended Fiducial Inference; Physics-Informed Neural Network; Stochastic Neural Network; Uncertainty Quantification
2938	Uncovering the Spectral Bias in Diagonal State Space Models Authors: Ruben Solozabal; Velibor Bojkovic; Hilal AlQuabeh; Kentaro Inui; Martin Takáč Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: SSMs; S4; Diagonal state space models
2939	Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation Authors: Xiaoyu Yue; ZiDong Wang; Yuqing Wang; Wenlong Zhang; Xihui Liu; Wanli Ouyang; LEI BAI; Luping Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Autoregressive Models; Image Generation
2940	Understanding Adam Requires Better Rotation Dependent Assumptions Authors: Tianyue H. Zhang; Lucas Maes; Alan Milligan; Alexia Jolicoeur-Martineau; Ioannis Mitliagkas; Damien Scieur; Simon Lacoste-Julien; Charles Guille-Escuret Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Optimization; Adam; Deep Learning; Rotation Dependency
2941	Understanding Differential Transformer Unchains Pretrained Self-Attentions Authors: Chaerin Kong; Jiho Jang; Nojun Kwak Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Attention; Transformer; Language Models
2942	Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Authors: Xiao Li; Zekai Zhang; Xiang Li; Siyi Chen; Zhihui Zhu; Peng Wang; Qing Qu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion model; representation learning
2943	Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Authors: Zhuonan Zheng; Yuanchen Bei; Zhiyao Zhou; Sheng Zhou; Yao Ma; Ming Gu; HONGJIA XU; Jiawei Chen; Jiajun Bu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Heterophily; Message Passing; Compatibility Matrix
2944	Understanding and Rectifying Safety Perception Distortion in VLMs Authors: Xiaohan Zou; Jian Kang; George Kesidis; Lu Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal llm; jailbreak; llm safety
2945	Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability Authors: Kaiqi Jiang; Jeremy Cohen; Yuanzhi Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Neural Tangent Kernel; training dynamics; Edge of Stability
2946	Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction Authors: Yifei Wang; Weimin Bai; colin zhang; Debing Zhang; Weijian Luo; He Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Distillation; One Step Generation
2947	UniGTE: Unified Graph–Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains Authors: Duo Wang; Yuan Zuo; Guangyue Lu; Junjie Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Graph Neural Networks; Zero Shot Learning
2948	UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation Authors: Rui Tian; Mingfei Gao; Mingze Xu; Jiaming Hu; Jiasen Lu; Zuxuan Wu; Yinfei Yang; Afshin Dehghan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Unified Multimodal Understanding and Generation; Multimodal Foundation Model; Multimodal LLM
2949	UniGist: Towards General and Hardware-aligned Sequence-level Long Context Compression Authors: Chenlong Deng; Zhisong Zhang; Kelong Mao; Shuaiyi Li; Tianqing Fang; Hongming Zhang; Haitao Mi; Dong Yu; Zhicheng Dou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long context compression; sparse attention
2950	UniLumos: Fast and Unified Image and Video Relighting with Physics-Plausible Feedback Authors: Pengwei Liu; Hangjie Yuan; Bo Dong; Jiazheng Xing; Jinwang Wang; Rui Zhao; Weihua Chen; Fan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: video generation; illumination editing; video editing
2951	UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation Authors: Xiaoqi Zhao; Youwei Pang; Chenyang Yu; Lihe Zhang; Huchuan Lu; Shijian Lu; Georges El Fakhri; Xiaofeng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Incomplete Modalities; Self-supervised Learning; Hierarchical Compensation
2952	UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning Authors: Ye Liu; Zongyang Ma; Junfu Pu; Zhongang Qi; Yang Wu; Ying Shan; Chang Wen Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Multimodal Models; Pixel-Level Reasoning
2953	UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces Authors: Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao; Xun Zhou; Liang Han; Xuetao Wei; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Spatio-Temporal Data Mining; Foundation Model; Urban Computing
2954	UniViT: Unifying Image and Video Understanding in One Vision Encoder Authors: Feilong Tang; Xiang An; Haolin Yang; Yin Xie; Kaicheng Yang; Ming Hu; Zheng Cheng; Xingyu Zhou; Zimin Ran; Imran Razzak; Ziyong Feng; Behzad Bozorgtabar; Jiankang Deng; Zongyuan Ge Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image and Video Understanding
2955	Unified Scaling Laws for Compressed Representations Authors: Andrei Panferov; Alexandra Volkova; Ionut-Vlad Modoranu; Vage Egiazarian; Mher Safaryan; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: scaling laws; large language models; model compression; quantization; sparsity
2956	Unified Transferability Metrics for Time Series Foundation Models Authors: Weiyang Zhang; Xinyang Chen; Xiucheng Li; Kehai Chen; Weili Guan; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Time Series Analysis; Transferability Estimation; Pre-trained Model
2957	Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning Authors: Haolin Yang; Hakaze Cho; Yiqiao Zhong; Naoya Inoue Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: In-Context Learning; Induction Head; Mechanistic Interpretability; Task Vector
2958	Unifying Reconstruction and Density Estimation via Invertible Contraction Mapping in One-Class Classification Authors: Xiaolei Wang; Tianhong Dai; Huihui Bai; Yao Zhao; Jimin XIAO Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Anomaly Detection; One-Class Classification
2959	Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models Authors: Siwei Zhang; Yun Xiong; Yateng Tang; Jiarong Xu; Xi Chen; Zehao Gu; Xuehao Zheng; Zi'an Jia; Jiawei Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Temporal Text-attributed Graph; Large Language Models; Data Mining
2960	Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework Authors: Yujie Xing; Xiao Wang; Bin Wu; Hai Huang; Chuan Shi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Graph Transformers; Graph Representation Learning
2961	Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching Authors: Benjamin Minixhofer; Ivan Vulić; Edoardo Ponti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: distillation; tokenization; modularity; tokenizer transfer
2962	Universal Few-shot Spatial Control for Diffusion Models Authors: Kiet T Nguyen; Chanhyuk Lee; Donggyun Kim; Dong Hoon Lee; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; spatial control image generation; few-shot learning
2963	Universally Invariant Learning in Equivariant GNNs Authors: Jiacheng Cen; Anyi Li; Ning Lin; Tingyang Xu; Yu Rong; Deli Zhao; Zihe Wang; Wenbing Huang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Equivariant Graph Neural Networks; Geometric Isomorphism; Completeness
2964	Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data Authors: Chen Shu; HongJun Xu; Ruichi Zhang; Mengke Li; Yonggang Zhang; Yang Lu; Bo Han; Yiu-ming Cheung; Hanzi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Long-tail learning; Noisy label learning
2965	Unlocking Multimodal Mathematical Reasoning via Process Reward Model Authors: Ruilin Luo; Zhuofan Zheng; Lei Wang; Yifan Wang; Xinzhe Ni; Zicheng Lin; Songtao Jiang; Yiyao Yu; Chufan Shi; Ruihang Chu; Jin zeng; Yujiu Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Reasoning; Data Synthesis; Process Reward Model; Reinforcement Learning.
2966	Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs Authors: Sonia Mazelet; Rémi Flamary; Bertrand Thirion Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Non-Convex Optimization; Unsupervised Learning; optimal transport; gnn
2967	Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards Authors: Honghao Chen; Xingzhou Lou; Xiaokun Feng; Kaiqi Huang; Xinlong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: VLM; Reasoning; PRM
2968	Unveiling Transformer Perception by Exploring Input Manifolds Authors: Alessandro Benfenati; Alfio Ferrara; Alessio Marta; Davide Riva; Elisabetta Rocchetti Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: input space exploration; geometric deep learning; transformers
2969	Unveiling the Compositional Ability Gap in Vision-Language Reasoning Model Authors: Tianle Li; Jihai Zhang; Yongming Rao; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multimodal Reasoning; RL for MLLM
2970	User-Instructed Disparity-aware Defocus Control Authors: Yudong Han; Yan Yang; Hao Yang; Liyuan Pan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: disparity-aware kernel estimation; joint deblurring and reblurring
2971	VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents Authors: Kangrui Wang; Pingyue Zhang; Zihan Wang; Yaning Gao; Linjie Li; Qineng Wang; Hanyang Chen; Yiping Lu; Zhengyuan Yang; Lijuan Wang; Ranjay Krishna; Jiajun Wu; Li Fei-Fei; Yejin Cho… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual States; World Modeling; Multi-turn RL; VLM Agents
2972	VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models Authors: Jesimon Barreto; Carlos Caetano; Andre Araujo; William Robson Schwartz Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Foundation Models; Self-Supervised Fine-Tuning; Video-Based Adaptation; Parameter-Efficient Tuning
2973	VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers Authors: QinkaiXu; yijin liu; YangChen; Lin Yang; Li Li; Yuxiang Fu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Transformer; Post-training Quantization; Image and Video Generation; Efficient Inference
2974	VFRTok: Variable Frame Rates Video Tokenizer with Duration-Proportional Information Assumption Authors: Tianxiong Zhong; Xingye Tian; Boyuan Jiang; Xuebo Wang; Xin Tao; Pengfei Wan; Zhiwei Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Tokenizer; Diffusion Model; Video Generation
2975	VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion Authors: Jaekyun Park; Hye Won Chung Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; Prompt tuning; Transfer learning
2976	VITRIX-CLIPIN: Enhancing Fine-Grained Visual Understanding in CLIP via Instruction-Editing Data and Long Captions Authors: Ziteng Wang; Siqi Yang; Limeng Qiao; Lin Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: CLIP; Fine-Grained; Multimodal-Model
2977	VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution Authors: Limeng Qiao; Yiyang Gan; Bairui Wang; Jie Qin; Shuang Xu; Siqi Yang; Lin Ma Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Transformer; Multimodal
2978	VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language Models Authors: Haichao Zhang; Yun Fu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video LLMs; Token Reduction; Discrete Token Representation; Extreme Token Reduction; Token Merge; Token Clustering
2979	Value Gradient Guidance for Flow Matching Alignment Authors: Zhen Liu; Tim Z. Xiao; Carles Domingo-Enrich; Weiyang Liu; Dinghuai Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Flow Matching; Alignment; Reward Finetuning; Reinforcement Learning; Optimal Control
2980	Value-Guided KV Compression for LLMs via Approximated CUR Decomposition Authors: Ayan Sengupta; Siddhant Chaudhary; Tanmoy Chakraborty Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; KV Compression; Attention Compression; Needle-in-a-haystack
2981	Variational Supervised Contrastive Learning Authors: Ziwen Wang; Jiajun Fan; Thao Nguyen; Heng Ji; Ge Liu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Contrastive Learning; Variational Inference; Representation Learning; Evidence Lower Bound; Confidence-Adaptive Temperature; Image Classification; Temperature…
2982	Variational Task Vector Composition Authors: Boyuan Zhang; Yingjun Du; Xiantong Zhen; Ling Shao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Task vector; Vartiational inference; Spike-and-slab prior; Controllable posterior with gated sampling
2983	VeriThinker: Learning to Verify Makes Reasoning Model Efficient Authors: Zigeng Chen; Xinyin Ma; Gongfan Fang; Ruonan Yu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: cot compression; efficient reasoning model
2984	ViSpec: Accelerating Vision-Language Models with Vision-Aware Speculative Decoding Authors: Jialiang Kang; Han Shu; Wenshuo Li; Yingjie Zhai; Xinghao Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: vision-language models; speculative decoding; synthetic dataset
2985	Vicinal Label Supervision for Reliable Aleatoric and Epistemic Uncertainty Estimation Authors: Linye Li; Yufei Chen; Xiaodong Yue Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: evidentail deep learning; uncertainty estimation
2986	VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation Models Authors: Zhicheng Zhang; Weicheng Wang; Yongjie Zhu; Wenyu Qin; Pengfei Wan; Di ZHANG; Jufeng Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video; Multimodal Large Language Model; Video MLLM; Facial Analysis; Video Emotion Analysis
2987	Video-R1: Reinforcing Video Reasoning in MLLMs Authors: Kaituo Feng; Kaixiong Gong; Bohao Li; Zonghao Guo; Yibing Wang; Tianshuo Peng; Junfei Wu; Xiaoying Zhang; Benyou Wang; Xiangyu Yue Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Video Reasoning
2988	Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension Authors: Yongdong Luo; Xiawu Zheng; Guilin Li; Shukang Yin; Haojia Lin; Chaoyou Fu; Jinfa Huang; Jiayi Ji; Fei Chao; Jiebo Luo; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: retrieval-augmented generation; video large language model; long video understanding
2989	VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception Authors: Ziang Yan; Yinan He; Xinhao Li; Zhengrong Yue; Xiangyu Zeng; Yali Wang; Yu Qiao; Limin Wang; Yi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: MLLM; Test Time Scaling
2990	VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding Authors: Zongxia Li; Xiyang Wu; Guangyao Shi; Yubin Qin; Hongyang Du; Tianyi Zhou; Dinesh Manocha; Jordan Lee Boyd-Graber Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision-language Model; Video Understanding; Video Generation; Hallucination; Diffusion Models Monitoring
2991	VideoMAR: Autoregressive Video Generation with Continuous Tokens Authors: Hu Yu; Biao Gong; Hangjie Yuan; DanDan Zheng; Weilong Chai; Jingdong Chen; Kecheng Zheng; Feng Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video generation; Autoregressive model; Continuous tokens
2992	VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models Authors: Xiangdong Zhang; Jiaqi Liao; Shaofeng Zhang; Fanqing Meng; Xiangpeng Wan; Junchi Yan; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generation; Video Diffusion Models
2993	VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning Authors: Qi Wang; Yanrui Yu; Ye Yuan; Rui Mao; Tianfei Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Video Reasoning; Reinforced fine-tuning
2994	ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models Authors: Zixun Fang; Kai Zhu; Zhiheng Liu; Yu Liu; Wei Zhai; Yang Cao; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Models
2995	VimoRAG: Video-based Retrieval-augmented 3D Motion Generation for Motion Language Models Authors: Haidong Xu; Guangwei Xu; Zhedong Zheng; Xiatian Zhu; Wei Ji; Xiangtai Li; Ruijie Guo; Meishan Zhang; Min zhang; Hao Fei Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Motion Generation; Retrieval-augmented Generation
2996	Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image Authors: Jun-Kun Chen; Aayush Bansal; Minh Phuoc Vo; Yu-Xiong Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Virtual Try-On; Video Diffusion Models; Generative Models
2997	VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition Authors: Rahul Moorthy Mahesh; Jun-Jee Chao; Volkan Isler Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Polygon Reconstruction; Visibility Reconstruction; Triangulation Dual; Geometric Reasoning; Generative Models
2998	Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation Authors: Anlin Zheng; Xin Wen; Xuanyang Zhang; Chuofan Ma; Tiancai Wang; Gang YU; Xiangyu Zhang; XIAOJUAN QI Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Image tokenizer; Autoregressive Image Generation; Vision Foundation Models
2999	Vision Function Layer in Multimodal LLMs Authors: Cheng Shi; Yizhou Yu; Sibei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Vision Function Layer
3000	Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models Authors: Tiezheng Zhang; Yitong Li; Yu-Cheng Chou; Jieneng Chen; Alan Yuille; Chen Wei; Junfei Xiao Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Auto-Encoder; Diffusion Model; Vision-Language-Vision
3001	Visual Instruction Bottleneck Tuning Authors: Changdae Oh; Jiatong Li; Shawn Im; Sharon Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Vision-Language Models; Instruction Tuning; Distribution Shifts; Robustness; Information Bottleneck
3002	Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought Authors: Zihui Cheng; Qiguang Chen; Xiao Xu; Jiaqi WANG; Weiyun Wang; Hao Fei; Yidong Wang; Alex Jinpeng Wang; Zhi Chen; Wanxiang Che; Libo Qin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Multimodal Chain-of-Thought
3003	Vulnerable Data-Aware Adversarial Training Authors: Yuqi Feng; Jiahao Fan; Yanan Sun Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Adversarial Training; Adversarial Robustness; Decision Boundary Analysis
3004	WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents Authors: Siyu Zhou; Tianyi Zhou; Yijun Yang; Guodong Long; Deheng Ye; Jing Jiang; Chengqi Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: world model; embodied agent; large language model; neurosymbolic learning
3005	Walking the Schrödinger Bridge: A Direct Trajectory for Text-to-3D Generation Authors: Ziying Li; Xuequan Lu; Xinkui Zhao; Guanjie Cheng; Shuiguang Deng; Jianwei Yin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative Models; Text-to-3D; 3D Gaussian Splatting; Diffusion Models
3006	WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting Authors: Kaitao Huang; Yan Yan; Jing-Hao Xue; Hanzi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 3D GAN Inversion; Novel View Inpainting
3007	WaveAR: Wavelet-Aware Continuous Autoregressive Diffusion for Accurate Human Motion Prediction Authors: shengchuan gao; Shuo Wang; Yabiao Wang; Ran Yi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Human motion prediction
3008	Wavy Transformer Authors: Satoshi Noguchi; Yoshinobu Kawahara Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Transformers; Over-smoothing; Wave dynamics on graphs; Partial differential equations
3009	Weak-to-Strong Generalization under Distribution Shifts Authors: Myeongho Jeon; Jan Sobotka; Suhwan Choi; Maria Brbic Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Weak-to-strong generalization; Distribution shift
3010	Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification Authors: Jon Saad-Falcon; E. Kelly Buchanan; Mayee F Chen; Tzu-Heng Huang; Brendan McLaughlin; Tanvir Bhathal; Shang Zhu; Ben Athiwaratkun; Frederic Sala; Scott Linderman; Azalia Mirhosein… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: test-time compute; repeated sampling; weak supervision; weak verification
3011	What Do Latent Action Models Actually Learn? Authors: Chuheng Zhang; Tim Pearce; Pushi Zhang; Kaixin Wang; Xiaoyu Chen; Wei Shen; Li Zhao; Jiang Bian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: latent action model; embodied ai
3012	What Happens During the Loss Plateau? Understanding Abrupt Learning in Transformers Authors: Pulkit Gopalani; Wei Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Abrupt learning; transformer training dynamics; interpretability; science of language models
3013	What Matters in Data for DPO? Authors: Yu Pan; Zhongze Cai; Huaiyang Zhong; Guanting Chen; Chonghuan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: DPO; Fine-tuning; Alignment
3014	What We Miss Matters: Learning from the Overlooked in Point Cloud Transformers Authors: Yi Wang; Jiaze Wang; Ziyu Guo; Renrui Zhang; Donghao Zhou; Guangyong Chen; Anfeng Liu; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Point Cloud Understanding; Representation Learning
3015	When Are Concepts Erased From Diffusion Models? Authors: Kevin Lu; Nicky Kriplani; Rohit Gandikota; Minh Pham; David Bau; Chinmay Hegde; Niv Cohen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Concept Erasure
3016	When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product Authors: Youqi WU; Jingwei Zhang; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Embedding Fusion; Multimodal Representations; Kernel Methods; Random Projection; Kronecker Product
3017	When Semantics Mislead Vision: Mitigating Large Multimodal Models Hallucinations in Scene Text Spotting and Understanding Authors: Yan Shu; Hangui Lin; Yexin Liu; Yan Zhang; Gangyan Zeng; Yan Li; Yu ZHOU; Ser-Nam Lim; Harry Yang; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Multimodal Models; Hallucination; Scene text spotting and understanding
3018	When and how can inexact generative models still sample from the data manifold? Authors: Nisha Chandramoorthy; Adriaan A. de Clercq Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Generative models; machine learning theory; dynamical systems theory
3019	Where Graph Meets Heterogeneity: Multi-View Collaborative Graph Experts Authors: Zhihao Wu; Jinyu Cai; Yunhe Zhang; Jielong Lu; Zhaoliang Chen; Shuman Zhuang; Haishuai Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph neural networks; heterogeneous data; multi-view learning
3020	Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions Authors: Siqi Kou; Qingyuan Tian; Hanwen Xu; Zihao Zeng; Zhijie Deng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: influence functions; llm reasoning
3021	Whitened Score Diffusion: A Structured Prior for Imaging Inverse Problems Authors: Jeffrey Alido; Tongyu Li; Yu Sun; Lei Tian Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: diffusion models; inverse problems; computational imaging; stochastic differential equations; score-based diffusion models; bayesian inverse problems
3022	Who Reasons in the Large Language Models? Authors: Jie Shao; Jianxin Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; reasoning; interpretability; Transformer
3023	Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation Authors: Qing Yu; Xiaobei Wang; Shuchang Liu; cheng.feng; Xiaoyu Yang; Xueliang Wang; Chang Meng; Shanshan Wu; HailanYang; Bin Wen; Huihui Xiao; Xiang Li; Fan Yang; Xiaoqiang Feng; Lantao… Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: recommendation with large language models; large language models; recommender systems; user roles; collaborative filtering
3024	Whole-Body Conditioned Egocentric Video Prediction Authors: Yutong Bai; Danny Tran; Amir Bar; Yann LeCun; Trevor Darrell; Jitendra Malik Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Video Generation; World Models; Generative Model
3025	Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning Authors: Jiayu Zhang; Changbang Li; Yinan Peng; Weihao Luo; Peilai Yu; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Instruction Fine-Tuning; Preference Bias; Self-Supervised Learning
3026	Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering Authors: Yangfu Li; Hongjian Zhan; Tianyi Chen; Qi Liu; Yu-Jie Xiong; Yue Lu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Visual Token Compression; Multimodal LLMs; Hausdorff distance
3027	Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation Authors: Sungmin Cha; Kyunghyun Cho Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LLMs; Generative Model; Knowledge Distillation
3028	Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Authors: Yiyou Sun; Yu Gai; Lijie Chen; Abhilasha Ravichander; Yejin Choi; Nouha Dziri; Dawn Song Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Model; Hallucination
3029	With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You Authors: Fabian Gröger; Shuo Wen; Huyen Le; Maria Brbic Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multimodal learning; vision language models; representation learning
3030	WorldMem: Long-term Consistent World Simulation with Memory Authors: Zeqi Xiao; Yushi LAN; Yifan Zhou; Wenqi Ouyang; Shuai Yang; Yanhong Zeng; Xingang Pan Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: world simulation; memory
3031	WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception Authors: Zhiheng Liu; Xueqing Deng; Shoufa Chen; Angtian Wang; Qiushan Guo; Mingfei Han; Zeyue Xue; Mengzhao Chen; Ping Luo; Linjie Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: long video generation; world models
3032	XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation Authors: Bowen Chen; Brynn zhao; Haomiao Sun; Li Chen; Xu Wang; Daniel Kang Du; Xinglong Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: text-to-image generation; modulation; multi-subject controlled generation
3033	YOLOv12: Attention-Centric Real-Time Object Detectors Authors: Yunjie Tian; Qixiang Ye; David Doermann Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: YOLO; Real-Time Detection; Attention-Centric
3034	Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding Authors: Yue Guan; Changming Yu; Shihan Fang; Weiming Hu; Zaifeng Pan; Zheng Wang; Zihan Liu; Yangjie Zhou; Yufei Ding; Minyi Guo; Jingwen Leng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: speculative decoding; machine learning system; large language model
3035	You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network Authors: Yi Li; Zhichun Guo; Guanpeng Li; Bingzhe Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Acceleration; Compressed Sensing; Graph Fourier
3036	ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data Authors: Patryk Marszałek; Tomasz Kuśmierczyk; Witold Wydmański; Jacek Tabor; Marek Śmieja Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Zero-shot learning; clustering; representation learning; in-context learning; tabular data
3037	ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS Authors: Weijie Wang; Donny Y. Chen; Zeyu Zhang; Duochao Shi; Akide Liu; Bohan Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: novel view synthesis; feed-forward 3DGS; gaussian splatting
3038	Zebra-Llama: Towards Extremely Efficient Hybrid Models Authors: Mingyu Yang; Mehdi Rezagholizadeh; Guihong Li; Vikram Appia; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Model Efficiency; Large Language Models
3039	ZigzagPointMamba: Spatial-Semantic Mamba for Point Cloud Understanding Authors: LinshuangDiao; Sensen Song; Yurong Qian; Dayong Ren Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Point cloud understanding; State-space models; Mamba; self-supervised learning; Masked Autoencoder
3040	dKV-Cache: The Cache for Diffusion Language Models Authors: Xinyin Ma; Runpeng Yu; Gongfan Fang; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Diffusion Language Model; Inference Efficiency; KV-Cache
3041	metaTextGrad: Automatically optimizing language model optimizers Authors: Guowei Xu; Mert Yuksekgonul; Carlos Guestrin; James Zou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: programming models; prompting techniques; meta-learning; LLM optimizer
3042	pLSTM: parallelizable Linear Source Transition Mark networks Authors: Korbinian Pöppel; Richard Freinschlag; Thomas Schmied; Wei Lin; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: LSTM; MDRNN; linear RNN; DAG; multi-dimensional data; graphs
3043	rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Authors: Yifei Liu; Li Lyna Zhang; Yi Zhu; bingcheng dong; Xudong Zhou; Ning Shang; Fan Yang; Cheng Li; Mao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Large Language Models; Code Reasoning; Test Case Generation
3044	seq-JEPA: Autoregressive Predictive Learning of Invariant-Equivariant World Models Authors: Hafez Ghaemi; Eilif Benjamin Muller; Shahab Bakhtiari Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Self-supervised learning; world models; computer vision; equivariance
3045	un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP Authors: Yinqi Li; Jiahe Zhao; Hong Chang; RuiBing Hou; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: CLIP model; unCLIP generative model; model inversion; visual detail capture
3046	xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Authors: Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: time series; xLSTM; forecasting; mixing; recurrent
3047	zip2zip: Inference-Time Adaptive Tokenization via Online Compression Authors: Saibo Geng; Nathan Ranchin; Yunzhen Yao; Maxime Peyrard; Chris Wendler; Michael Gastpar; Robert West Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tokenization; LLM; language modeling; inference efficiency; large language model; compression
3048	AI Debate Aids Assessment of Controversial Claims Authors: Salman Rahman; Sheriff Issaka; Ashima Suvarna; Genglin Liu; James Shiffer; Jaeyoung Lee; Md Rizwan Parvez; Hamid Palangi; Shi Feng; Nanyun Peng; Yejin Choi; Julian Michael; Liwei… Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Scalable Oversight; AI Debate; Cognitive Bias; Factuality
3049	Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search Authors: Yanbo Wang; Zixiang Xu; Yue Huang; Chujie Gao; Siyuan Wu; Jiayi Ye; Pin-Yu Chen; Xiuying Chen; Xiangliang Zhang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; Robustness Evaluation; Tree Search; Contextual Perturbation
3050	Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs Authors: Gerardo Flores; Alyssa Hasegawa Smith; Julia Fukuyama; Ashia C. Wilson Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: binary classification; calibration; label shift; cost-sensitive evaluation; proper scoring rules
3051	Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost Authors: Runzhe Zhan; Zhihong Huang; Xinyi Yang; Lidia S. Chao; Min Yang; Derek F. Wong Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: large reasoning model; evaluation; machine translation; analysis
3052	Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities Authors: Jiayi Kuang; Haojing Huang; Yinghui Li; Xinnian Liang; Zhikun Xu; Yangning Li; Xiaoyu Tan; Chao Qu; Meishan Zhang; Ying Shen; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; Mathematical Reasoning; Atomic Thinking
3053	Attention! Your Vision Language Model Could Be Maliciously Manipulated Authors: Xiaosen Wang; Shaokang Wang; Zhijin Ge; Yuyang Luo; Shudong Zhang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Adversarial Attack; Robustness; Adversarial Examples; Manipulation; Vision-language Model
3054	Automated Detection of Visual Attribute Reliance with a Self-Reflective Agent Authors: Christy Li; Josep Lopez Camuñas; Jake Thomas Touchet; Jacob Andreas; Agata Lapedriza; Antonio Torralba; Tamar Rott Shaham Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Model robustness; Interpretability; Interpretability Agent; Self-reflection; Interpretability benchmarks; Spurious correlation
3055	Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Authors: Jiayu Wang; Yifei Ming; Zixuan Ke; Caiming Xiong; Shafiq Joty; Aws Albarghouthi; Frederic Sala Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; Mathematical Reasoning; Reinforcement Learning; Evaluation
3056	Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations Authors: Peng Lai; Jianjie Zheng; Sijie Cheng; Yun Chen; Peng Li; Yang Liu; Guanhua Chen Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: llm-as-a-judge; llm evaluator
3057	Bridging Human and LLM Judgments: Understanding and Narrowing the Gap Authors: Felipe Maia Polo; Xinhe Wang; Mikhail Yurochkin; Gongjun Xu; Moulinath Banerjee; Yuekai Sun Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: llm-as-a-judge; alignment; bias; calibration
3058	Can Agent Fix Agent Issues? Authors: Alfin Wijaya Rahardja; Junwei Liu; Weitong Chen; Zhenpeng Chen; Yiling Lou Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: LLM-based agents; SE agents; issue resolution
3059	Can Large Language Models Master Complex Card Games? Authors: Wei Wang; Fuqing Bie; Junzhe Chen; Dan Zhang; Shiyu Huang; Evgeny Kharlamov; Jie Tang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Language Model; Evaluation
3060	CodeCrash: Exposing LLM Fragility to Misleading Natural Language in Code Reasoning Authors: Man Ho LAM; Chaozheng Wang; Jen-tse Huang; Michael Lyu Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; Code Reasoning; Code Execution; Input-Output Prediction; Robustness Evaluation; Code Perturbations; Model Reliability; Adversarial Testi…
3061	Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect Authors: Tom Kouwenhoven; Kiana Shahrasbi; Tessa Verhoef Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Cross-modal associations; Vision-and-Language Models; bouba-kiki effect; Cognitive science
3062	DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning Authors: Yongxin He; Shan Zhang; Yixuan Cao; Lei Ma; Ping Luo Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: AI-generated text detection; hybrid text attribution; few-shot adaptation
3063	Distributional LLM-as-a-Judge Authors: Luyu Chen; Zeyu Zhang; Haoran Tan; Quanyu Dai; Hao Yang; Zhenhua Dong; Xu Chen Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; LLM-as-a-Judge; Distributional Alignment; Human Evaluation; Adversarial Training
3064	Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation Authors: Sanjana Ramprasad; Byron C Wallace Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Summarization; Faithfulness metrics
3065	Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator Authors: Gongwei Chen; Lirong Jie; Lexiao Zou; Weili Guan; Miao Zhang; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Multimodal Large Language Model; GUI; Agent; Automatic Evaluation
3066	EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Authors: Shihan Dou; Ming Zhang; Chenhao Huang; Jiayi Chen; Feng Chen; Shichun Liu; Yan Liu; Chenxiao Liu; CHENG ZHONG; Zongzhang Zhang; Tao Gui; Chao Xin; Wei Chengzhi; Lin Yan; Qi Zhang;… Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: benchmark; LLMs; evaluation
3067	Evaluating multiple models using labeled and unlabeled data Authors: Divya M Shanmugam; Shuvom Sadhuka; Manish Raghavan; John Guttag; Bonnie Berger; Emma Pierson Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: evaluation; mixture models; semi-supervised learning
3068	Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps Authors: Haibo Jin; Peiyan Zhang; Man Luo; Haohan Wang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Lauange Model; Inductive Abilities; Reasoning
3069	Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models Authors: Hai Yan; Haijian Ma; Xiaowen Cai; Daizong Liu; Zenghui Yuan; Xiaoye Qu; Jianfeng Dong; Runwei Guan; Xiang Fang; Hongyang He; Yulai Xie; Pan Zhou Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Adversarial attack; Evaluation
3070	Grids Often Outperform Implicit Neural Representation at Compressing Dense Signals Authors: Namhoon Kim; Sara Fridovich-Keil Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Implicit Neural Representations (INR); Grid; Interpolation; Bandwidth; Inverse Problems
3071	How Benchmark Prediction from Fewer Data Misses the Mark Authors: Guanhua Zhang; Florian E. Dorner; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Evaluation; Large language model
3072	KScope: A Framework for Characterizing the Knowledge Status of Language Models Authors: Yuxin Xiao; Shan Chen; Jack Gallifant; Danielle Bitterman; Thomas Hartvigsen; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Knowledge Conflict; Knowledge Characterization; Large Language Model
3073	Latency NMS Attacks: Is It Real Life or Is It Just Fantasy? Authors: Jean-Philippe Monteuuis; Cong Chen; Jonathan Petit Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: evaluation; adversarial attacks; latency attacks; NMS attack; Object Detection; adversarial defenses
3074	MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM Authors: Bowen Dong; Minheng Ni; Zitong Huang; Guanglei Yang; Wangmeng Zuo; Lei Zhang Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: multimodal learning; hallucinations; evaluation
3075	Martingale Score: An Unsupervised Metric for Bayesian Rationality in LLM Reasoning Authors: Zhonghao He; Tianyi Qiu; Hirokazu Shirado; Maarten Sap Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Martingale Score; Martingale property; bayesian reasoning; LLM; unsupervised; evaluation; belief entrenchment; forecasting
3076	Measuring AI Ability to Complete Long Software Tasks Authors: Thomas Kwa; Ben West; Joel Becker; Amy Deng; Katharyn Garcia; Max Hasin; Sami Jawhar; Megan Kinniment; Nate Rush; Sydney Von Arx; Ryan Bloom; Thomas Broadley; Haoxing Du; Brian Go… Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: benchmarks; evaluations; Natural language processing; Software engineering; forecasting
3077	MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants Authors: Zeyu Zhang; Quanyu Dai; Luyu Chen; Zeren Jiang; Rui Li; Jieming Zhu; Xu Chen; Yi Xie; Zhenhua Dong; Ji-Rong Wen Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: LLM-based Agents; Memory; Personal Assistants
3078	More of the Same: Persistent Representational Harms Under Increased Representation Authors: Jennifer Mickel; Maria De-Arteaga; Liu Leqi; Kevin Tian Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Natural Language Processing (NLP); evaluation; bias; generative AI; gender bias
3079	Rethinking Verification for LLM Code Generation: From Generation to Testing Authors: Zihan Ma; Taolin Zhang; Maosongcao; Junnan Liu; Wenwei Zhang; Minnan Luo; Songyang Zhang; Kai Chen Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Test Case Generation; LLM Code Evaluation; Human-LLM Collaboration
3080	RvLLM: LLM Runtime Verification with Domain Knowledge Authors: Yedi Zhang; Sun Yi Emma; Annabelle Lee Jia En; Jin Song Dong Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Runtime Verification; Specification; Domain Knowledge; Large Language Model
3081	SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks Authors: Hwiwon Lee; Ziqi Zhang; Hanxiao Lu; LINGMING ZHANG Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Security Benchmarking; LLM Agents; Security Engineering; AI for Security; Automated Evaluation
3082	Scalable Evaluation and Neural Models for Compositional Generalization Authors: Giacomo Camposampiero; Pietro Barbiero; Michael Hersche; Roger Wattenhofer; Abbas Rahimi Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: compositional generalization; compositionality; disentanglement; representation learning; computer vision
3083	Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator Authors: Peiwen Yuan; Yiwei Li; Shaoxiong Feng; Xinglin Wang; Yueqi Zhang; Jiayi Shi; Chuyi Tan; Boyuan Pan; Yao Hu; Kan Li Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: large language model; benchmark generation; self-bias
3084	Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families Authors: Felipe Maia Polo; Seamus Somerstep; Leshem Choshen; Yuekai Sun; Mikhail Yurochkin Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: scaling law; LLM; benchmark; skill
3085	TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models Authors: Maya Varma; Jean-Benoit Delbrouck; Sophie Ostmeier; Akshay S Chaudhari; Curtis Langlotz Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: temporal; biases; vision-language; error discovery; medical; video
3086	The Underappreciated Power of Vision Models for Graph Structural Understanding Authors: Xinjian Zhao; Wei Pang; Zhongkai Xue; Xiangru Jian; Lei Zhang; Yaoyao Xu; Xiaozhuang Song; Shu Wu; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Visual-centric graph understanding; Graph visualization; Meta analysis; Graph positional encoding
3087	Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study Authors: Zhengyu Hu; Jianxun Lian; Zheyuan Xiao; Seraphina Zhang; Tianfu Wang; Nicholas Jing Yuan; Xing Xie; Hui Xiong Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Large Language Models; Learning Ability; Evaluation Framework
3088	VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR Authors: Shenghui Chen; Po-han Li; Sandeep P. Chinchali; ufuk topcu Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Human-AI Interaction; Video-to-Text Evaluation; Information Bottleneck
3089	VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models Authors: Chongkai Gao; Zixuan Liu; Zhenghao Chi; Junshan Huang; Xin Fei; Yiwen Hou; Yuxuan Zhang; Yudi Lin; Zhirui Fang; Lin Shao Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Robot Manipulation; Task Planning; Foundation Models
3090	Valid Inference with Imperfect Synthetic Data Authors: Yewon Byun; Shantanu Gupta; Zachary Chase Lipton; Rachel Leah Childers; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: Human-AI Collaboration; Statistical Inference; LLMs for Computational Social Sciences
3091	Validating LLM-as-a-Judge Systems under Rating Indeterminacy Authors: Luke Guerdan; Solon Barocas; Ken Holstein; Hanna Wallach; Steven Wu; Alexandra Chouldechova Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: large language models; LLM-as-a-Judge; gold labels; validity; evaluation; meta-evaluation
3092	Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It Authors: Yulu Qin; Dheeraj Varghese; Adam Dahlgren Lindström; Lucia Donatelli; Kanishka Misra; Najoung Kim Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: vision and language models; VLMs; multimodality; taxonomic knowledge
3093	What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models Authors: Keyon Vafa; Sarah Bentley; Jon Kleinberg; Sendhil Mullainathan Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: evaluation; human-in-the-loop; steerability; generative models
3094	YEAST: Yet Another Sequential Test Authors: Alexey Kurennoy; Majed Dodin; Tural Gurbanov; Ana Peleteiro Ramallo Affiliation: 官方页面未列出 Official area / track: evaluation Recognition: Poster/Regular Keywords: A/B testing; experiment monitoring; sequential test; early stopping
3095	$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization Authors: Rahul Vaze; Abhishek Sinha Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: online convex optimization; regret
3096	A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data Authors: Dongguen Kim; Young-Geun Choi; Minwoo Chae Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Contextual dynamic pricing; Discrete price data; Bayesian approach; Cox proportional hazards model
3097	A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study Authors: Yuanchao Dai; Zhengzhang Hou; Changchun Li; Yuanbo Xu; En Wang; Ximing Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: positive and unlabeled learning
3098	A Few Moments Please: Scalable Graphon Learning via Moment Matching Authors: Reza Ramezanpour; Victor M. Tenorio; Antonio G. Marques; Ashutosh Sabharwal; Santiago Segarra Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graphon estimation; Moment matching; implicit neural representations; MomentMixup
3099	A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning Authors: Qingyue Zhang; Haohao Fu; Guanbo Huang; Yaoyuan Liang; Chang Chu; Tianren Peng; Yanru Wu; Qi Li; Yang Li; Shao-Lun Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-source transfer learning; K-L divergence; high-dimensional statistics
3100	A Near-optimal, Scalable and Parallelizable Framework for Stochastic Bandits Robust to Adversarial Corruptions and Beyond Authors: Zicheng Hu; Cheng Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-armed bandits; adversarial corruption; multi-agent bandits; batched bandits; graph bandits; semi-bandits
3101	A Single-Swap Local Search Algorithm for k-Means of Lines Authors: Ting Liang; Xiaoliang Wu; Junyu Huang; Jianxin Wang; Qilong Feng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: local search，line clustering，k-means of lines
3102	A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values Authors: Tyler Chen; Akshay Seshadri; Mattia Jacopo Villani; Pradeep Niroula; Shouvanik Chakrabarti; Archan Ray; Pranav Deshpande; Romina Yalovetzky; Marco Pistoia; Niraj Kumar Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Explainability; Interpretability; Machine Learning; Randomized Algorithms; Provable Algorithms; Sample Complexity; Sketching; Quantum-Inspired
3103	A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random Authors: Binh Huu Ho; Long Nguyen Chi; TrungTin Nguyen; Van Ha Hoang; Binh T. Nguyen; Christopher Drovandi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Variable Selection; Finite Mixture Models; Model-Based Clustering; Missing Data; Asymptotic Selection Consistency
3104	A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity Authors: Kuat Gazizov; Miguel Á. Carreira-Perpiñán Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: regression trees; tree alternating optimization; Sherman-Morrison-Woodbury formula
3105	A$^3$E: Towards Compositional Model Editing Authors: Hongming Piao; Hao Wang; Dapeng Wu; Ying Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Model Editing
3106	AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering Authors: Bohang Sun; Yuena Lin; Tao Yang; Zhen Zhu; Zhen Yang; Gengyu Lyu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-view clustering; alignment-free fusion; cross-view consistent representation
3107	Accelerated Evolving Set Processes for Local PageRank Computation Authors: BinbinHuang; Luo Luo; Yanghua Xiao; Deqing Yang; Baojian Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Personalized PageRank; Local methods; Sublinear methods
3108	Active Measurement: Efficient Estimation at Scale Authors: Max Hamilton; Jinlin Lai; Wenlong Zhao; Subhransu Maji; Daniel Sheldon Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: importance sampling; image detection; ai for science; counting; human-in-the-loop; unbiased estimators
3109	Active Seriation: Efficient Ordering Recovery with Statistical Guarantees Authors: James Cheshire; Yann Issartel Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Seriation; Sorting; Active learning; Ranking
3110	Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory Authors: Anindya Sarkar; Binglin Ji; Yevgeniy Vorobeychik Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Diffusion Model; Active Target Discovery
3111	AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts Authors: Denizhan Kara; Tomoyoshi Kimura; Jinyang Li; Bowen He; Yizhuo Chen; Yigong Hu; Hongjue Zhao; Shengzhong Liu; Tarek F. Abdelzaher Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Time Series; Representation Learning; Contrastive Learning; Self-Supervised Learning; Adaptive Learning; Dynamic Temporal Modeling
3112	Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization Authors: Zixuan Huang; Yikun Ban; Lean Fu; Xiaojie Li; Zhongxiang Dai; Jianxin Li; deqing wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Direct Preference Optimization
3113	Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling Authors: Ruoyu Wang; Beier Zhu; Junzhi Li; Liangyu Yuan; Chi Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: diffusion models; solver-based acceleration method
3114	Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes Authors: Sishun Liu; KE DENG; Yongli Ren; Yan Wang; Xiuzhen Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Marked Temporal Point Process; Data Imbalance
3115	Adjusted Count Quantification Learning on Graphs Authors: Clemens Damke; Eyke Hüllermeier Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: quantification learning; graph neural networks; distribution shift
3116	Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective Authors: Chenwang Wu; Yiu-ming Cheung; Bo Han; Defu Lian Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Machine-Generated Text Detection; Simple-to-Hard Supervision; Large Language Model
3117	Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation Authors: Zhangqi Jiang; Tingjin Luo; Xu Yang; Xinyan Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Incomplete multi-view learning; graph-based semi-supervised learning
3118	Adversary Aware Optimization for Robust Defense Authors: Daniel Wesego; Pedram Rooshenas Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Adversarial robustness; Adversarial purification; optimization; Adversarial training
3119	Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process Authors: Tsai Hor Chan; Feng Wu; Yihang Chen; Guosheng Yin; Lequan Yu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multimodal learning; Bayesian nonparametric methods; medical images
3120	An Effective Levelling Paradigm for Unlabeled Scenarios Authors: Fangming Cui; Zhou Yu; Di Yang; Yuqiang Ren; Liang Xiao; Xinmei Tian Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Unlabeled Scenarios; deep learning; generalization; few-shot
3121	An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks Authors: Linus Aronsson; Morteza Haghir Chehreghani Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Local search; clustering; correlation clustering; polarized community discovery; polarized community detection; signed networks; graph partitioning
3122	Angular Constraint Embedding via SpherePair Loss for Constrained Clustering Authors: Shaojie Zhang; Ke Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Deep constrained clustering; angular constraint embedding; deep constraint embedding; anchor-free loss; imbalanced constraints
3123	Anomaly Detection by an Ensemble of Random Pairs of Hyperspheres Authors: Walid Durani; Collin Leiber; Khalid Durani; Claudia Plant; Christian Böhm Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: ensemble; isolation; anomaly detection
3124	Anytime-valid, Bayes-assisted, Prediction-Powered Inference Authors: Valentin Kilian; Stefano Cortinovis; Francois Caron Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Confidence sequences; Ville's inequality; method of mixtures; mean estimation; statistical inference; semi-supervised inference.
3125	Ascent Fails to Forget Authors: Ioannis Mavrothalassitis; Pol Puigdemont; Noam Itzhak Levi; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Unlearning; Logistic Regression; Gradient Ascent
3126	Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning Authors: Remco F. Leijenaar; Hamidreza Kasaei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: self-supervised learning; representation learning; 3D point clouds; masked modeling; invariance learning; self-distillation; unsupervised learning
3127	Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules Authors: Tianwei Wang; Xinhui Ma; Wei Pang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Quaternion-valued Neural Network; Supervised Learning; Asymptotic Stability; Neural Dynamical System; Hopfield Neural Network; Periodic Projection Method; Mach…
3128	Autoencoding Random Forests Authors: Binh Duc Vu; Jan Kapar; Marvin N. Wright; David Watson Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Random Forests; Compression; Kernel Methods; Constrained Optimization; Nearest Neighbors
3129	Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization Authors: Fuyuan CAO; Shichang Qiao; Kui Yu; Jiye Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Domain generalization; visual instrumental variable; causal representation learning
3130	Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment Authors: Youjia Zhang; Youngeun Kim; Young-Geun Choi; Hongyeob Kim; Huiling Liu; Sungeun Hong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Test-time Adaptation; Vision-Language Models; Distribution Shifts
3131	Balancing Performance and Costs in Best Arm Identification Authors: Michael O Harding; Kirthevasan Kandasamy Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Bandit Algorithms; Exploration
3132	Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning Authors: Ximing Li; Yuanchao Dai; Bing Wang; Changchun Li; Jianfeng Qu; Renchu Guan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: positive and unlabeled learning; generalization error bound
3133	Bandit Guided Submodular Curriculum for Adaptive Subset Selection Authors: Prateek Chanda; Prayas Agrawal; Saral Sureka; Lokesh Reddy Polu; Atharv Kshirsagar; Ganesh Ramakrishnan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Curriculum Learning; Adaptive Subset Selection; Multi Arm Bandit; Submodular Functions; No-regret Analysis
3134	Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints Authors: Abhishek Sinha; Rahul Vaze Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online convex optimization; Regret bounds; Learning with constraints
3135	Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis Authors: Jianqi Feng; Chengchun Shi; Zhenke Wu; Xiaodong Yan; Wei Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Survival Analysis; Recurrent Events
3136	Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation Authors: Xin Zhang; Ziruo Zhang; Jiawei Du; Zuozhu Liu; Joey Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multimodal dataset distillation; modality collapse; representations blending; symmetric projection trajectory matching
3137	Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes Authors: Wei Wu; Xuan Tan; Yan Peng; Ling Chen; FangFang Li; Chuan Luo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Signed Networks; Edge Embedding; Simplicial Complexes; Locality Sensitive Hashing; Link Sign Prediction
3138	Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Authors: Yue Tan; Xiaoqian Hu; Hao Xue; Celso M de Melo; Flora D. Salim Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: continual learning; vision-language model; video understanding; multimodal large language model
3139	Bit-swapping Oriented Twin-memory Multi-view Clustering in Lifelong Incomplete Scenarios Authors: Shengju Yu; Pei Zhang; Siwei Wang; Suyuan Liu; Xinhang Wan; Zhibin Dong; Tiejun Li; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Incomplete Multi-view Clustering; Lifelong Learning; Graph Learning; Multi-view Clustering
3140	Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification Authors: Xinpeng Lv; Yunxin Mao; Haoxuan Li; KE LIANG; Jinxuan Yang; Wanrong Huang; Haoang Chi; Huan Chen; Long Lan; Cyuanlong; Wenjing Yang; Haotian Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: strategic classification; machine learning; LLMs
3141	Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity Authors: Pierre Houédry; Nicolas Courty; Florestan Martin-Baillon; Laetitia Chapel; Titouan Vayer Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: tree metric learning; delta-hyperbolicity; geometrical machine learning; differentiation
3142	Bridging the gap to real-world language-grounded visual concept learning Authors: Whie Jung; Semin Kim; Junee Kim; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: visual concept learning; vision-language model; image generation
3143	CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems Authors: Rui Liu; Yu Shen; Peng Gao; Pratap Tokekar; Ming Lin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-Modal Learning; Multi-Agent Systems
3144	CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting Authors: Kornel Howil; Joanna Waczynska; Piotr Borycki; Tadeusz Dziarmaga; Marcin Mazur; Przemysław Spurek Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Style Transfer; 3D; 4D; Video; Image; CLIP; Gaussian Splatting
3145	CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation Authors: Marc Lafon; Gustavo Adolfo Vargas Hakim; Clément Rambour; Christian Desrosiers; Nicolas THOME Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Vision-Language Models; Unsupervised Image Classification; Online Adaptation
3146	CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning Authors: Seewon Choi; Alaia Solko-Breslin; Rajeev Alur; Eric Wong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Neurosymbolic learning
3147	CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination Authors: Yuena Lin; Hao Wei; Haichun Cai; Bohang Sun; Tao Yang; Zhen Yang; Gengyu Lyu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Contrastive Learning; Exponential Partitioned Similarity; Semantics-Consistency Discrimination
3148	Can Class-Priors Help Single-Positive Multi-Label Learning? Authors: Biao Liu; Ning Xu; Jie Wang; Xin Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-Label Learning
3149	Causal Mixture Models: Characterization and Discovery Authors: Sarah Mameche; Janis Kalofolias; Jilles Vreeken Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: causal discovery; mixture modelling
3150	ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Authors: Xiang Liu; Zhenheng Tang; Peijie Dong; Zeyu Li; Liuyue; Bo Li; Xuming Hu; Xiaowen Chu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: LLM; KV cache; Compression; Long-context
3151	Class conditional conformal prediction for multiple inputs by p-value aggregation Authors: Jean-Baptiste Fermanian; Mohamed Hebiri; Joseph Salmon Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Prediction; multiclass classification; aggregation; conformal p-value; Pl@ntnet
3152	CoUn: Empowering Machine Unlearning via Contrastive Learning Authors: Yasser H. Khalil; Mehdi Setayesh; Hongliang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Contrastive Learning; Supervised Learning; Representation Learning; Semantic Similarity
3153	Coloring Learning for Heterophilic Graph Representation Authors: Miaomiao Huang; Yuhai Zhao; Zhengkui Wang; Fenglong Ma; Yejiang Wang; Meixia Wang; Xingwei Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Representation; Graph Self-Supervised Learning
3154	ComRank: Ranking Loss for Multi-Label Complementary Label Learning Authors: Jing-Yi Zhu; Yi Gao; Miao Xu; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-label learning; complementary label leaning; weakly supervised learning
3155	Compact Memory for Continual Logistic Regression Authors: Yohan Jung; Hyungi Lee; Wenlong Chen; Thomas Möllenhoff; Yingzhen Li; Juho Lee; Mohammad Emtiyaz Khan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Compact memory; Continual learning; Memory efficiency; K-prior
3156	Competitive Advantage Attacks to Decentralized Federated Learning Authors: Yuqi Jia; Minghong Fang; Neil Zhenqiang Gong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Competitive advantage; Decentrailzed federated learning; Attack; Selfish clients
3157	Composing Linear Layers from Irreducibles Authors: Travis Pence; Daisuke Yamada; Vikas Singh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Clifford Algebra; Compositions; Modular
3158	Conditional Distribution Compression via the Kernel Conditional Mean Embedding Authors: Dominic Broadbent; Nick Whiteley; Robert F Allison; Tom Lovett Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: compression; herding; distribution compression; conditional distribution; joint distribution; inducing points; kernel conditional mean embedding; kernel mean e…
3159	Confidence-Aware With Prototype Alignment for Partial Multi-label Learning Authors: Weijun Lv; Yu Chen; Xiaozhao Fang; Xuhuan Zhu; Jie Wen; Guoxu Zhou; Sixian Chan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Partial multi-label learning; Noise disambiguation; Class prototype; Pattern recognition
3160	Conformal Information Pursuit for Interactively Guiding Large Language Models Authors: Kwan Ho Ryan Chan; Yuyan Ge; Edgar Dobriban; Hamed Hassani; Rene Vidal Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Interactive Question Answering; Uncertainty Quantification; Twenty Questions
3161	Conformal Online Learning of Deep Koopman Linear Embeddings Authors: Ben Gao; Jordan Patracone; Stephane Chretien; Olivier Alata Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Online learning; Koopman representation learning; Streaming dynamical systems modeling
3162	Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning Authors: Kai Hu; Zhang Yu; Yuan Zhang; Zhineng Chen; Xieping Gao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Non-Exemplar Class Incremental Learning; Representation Learning; Self-Supervised Learning; Ensemble Model
3163	Contextual Online Pricing with (Biased) Offline Data Authors: Yixuan Zhang; Ruihao Zhu; Qiaomin Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: online pricing; offline data; distributional shift; robustness
3164	Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity Authors: Enneng Yang; Anke Tang; Li Shen; Guibing Guo; Xingwei Wang; Xiaochun Cao; Jie Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Model Merging; Continual Learning; Multi-task Learning
3165	Continual Multimodal Contrastive Learning Authors: Xiaohao Liu; Xiaobo Xia; See-Kiong Ng; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Continual Learning; Multimodal Contrastive Learning
3166	Continual Optimization with Symmetry Teleportation for Multi-Task Learning Authors: Zhipeng Zhou; Ziqiao Meng; Pengcheng Wu; Peilin Zhao; Chunyan Miao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-Task Learning; Symmetry Teleportation
3167	Continuous Simplicial Neural Networks Authors: Aref Einizade; Dorina Thanou; Fragkiskos D. Malliaros; Jhony H. Giraldo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Simplicial Neural Networks; Partial Differential Equations; Over-smoothing; Stability
3168	Contrastive Self-Supervised Learning As Neural Manifold Packing Authors: Guanming Zhang; David Heeger; Stefano Martiniani Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: self-supervised learning; neural manifold; vision; statistical physics in learning; computational neural science
3169	Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy Authors: Rob Romijnders; Antti Koskela Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Differential privacy; DP machine learning; hidden state analysis
3170	Counterfactual reasoning: an analysis of in-context emergence Authors: Moritz Miller; Bernhard Schölkopf; Siyuan Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: In-context learning; transformers; reasoning; causality
3171	Curriculum Abductive Learning Authors: Wen-Chao Hu; Qi-Jie Li; Lin-Han Jia; Cunjing Ge; Yu-Feng Li; Yuan Jiang; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: abductive learning; neuro-symbolic learning; logical reasoning; knowledge base
3172	DAA: Amplifying Unknown Discrepancy for Test-Time Discovery Authors: Tianle Liu; Fan Lyu; Chenggong Ni; Zhang Zhang; Fuyuan Hu; Liang Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Test-Time Discovery; Novel Category Discovery; Online Learning; Test-Time Training
3173	DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation Authors: Jae Yun Lee; Jae Hyeon Park; Gyoomin Lee; Bogyeong Kim; Min Hee Cha; Hyeok Nam; Joo Hyeon Jeon; Hyunse Lee; Sung In Cho Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Source-Free Domain Adaptation; Pseudo Labeling; Uncertainty-Aware Learning; CLIP
3174	Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models Authors: Xu Yang; Chen Liu; Ying Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Large Multimodal Models; Data Selection; Robustness
3175	Decoupled Entropy Minimization Authors: Jing Ma; Hanlin Li; Xiang Xiang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Entropy Minimization; Test-Time Adaptation; Self-Supervised Learning
3176	Differentiable Generalized Sliced Wasserstein Plans Authors: Laetitia Chapel; Romain Tavenard; Samuel Vaiter Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Optimal Transport plans; Generalized Sliced Wasserstein
3177	Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation Authors: Jeongin Kim; Wonho Bae; YouLee Han; Giyeong Oh; Youngjae Yu; Danica J. Sutherland; Junhyug Noh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Low-Budget Active Learning; Semantic Segmentation; Diffusion Models
3178	Disentangled Representation Learning via Modular Compositional Bias Authors: Whie Jung; Dong Hoon Lee; Seunghoon Hong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Unsupervised Representation Learning; Disentangled Representation Learning; Compositionality Maximization
3179	Distribution Learning Meets Graph Structure Sampling Authors: Arnab Bhattacharyya; Sutanu Gayen; Philips George John; Sayantan Sen; N. V. Vinodchandran Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Distribution learning; Bayesian networks; Chordal graphs; Online learning
3180	Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes Authors: Peter Ochieng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: diversity; contrastive learning; batch selection
3181	Diversity-oriented Deep Multi-modal Clustering Authors: Yanzheng Wang; Xin Yang; Yujun Wang; Shizhe Hu; Mingliang Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-modal clustering; diversity learning; contrastive learning
3182	Doubly Robust Alignment for Large Language Models Authors: Erhan Xu; Kai Ye; Hongyi Zhou; Luhan Zhu; Francesco Quinzan; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Large language models; Doubly robust methods; Reinforcement learning from human feedback; Semiparametric efficiency
3183	Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Authors: Zhiyuan Liang; Dongwen Tang; Yuhao Zhou; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You; Zhangya… Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Parameter Generation; Parameter-Efficient-Fine-Tuning; Large Language Models
3184	Dual Prototype-Enhanced Contrastive Framework for Class-Imbalanced Graph Domain Adaptation Authors: Xin Ma; Yifan Wang; Siyu Yi; Wei Ju; Junyu Luo; Yusheng Zhao; Xiao Luo; Jiancheng Lv Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Domain Adaption; Class-Imbalanced Learning
3185	Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams Authors: Donghao Sun; Xi Wang; Xu Yang; Kun Wei; Cheng Deng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Unsupervised Learning; Class Incremental Learning; Visual-Text Complementary Guidance
3186	DualCnst: Enhancing Zero-Shot Out-of-Distribution Detection via Text-Image Consistency in Vision-Language Models Authors: Fayi Le; Wenwu He; Chentao Cao; Dong Liang; Zhuo-Xu Cui Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Out-of-distribution Detection
3187	DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion Authors: Jin Li; Zezhong Ding; Xike Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Knowledge Graph Reasoning
3188	Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio Authors: Yang Cao; Xiaoyu Li; Zhao Song; Chiwun Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: band–limited interpolation; approximate algorithm
3189	Efficient Representativeness-Aware Coreset Selection Authors: Zihao Cheng; Binrui Wu; Zhiwei Li; Yuesen Liao; Su Zhao; Shuai Chen; Yuan Gao; WEIZHONG ZHANG Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Coreset Selection; Deep Neural Networks; Efficient Representativeness-Aware
3190	Efficient Verified Unlearning For Distillation Authors: Yijun Quan; Zushu Li; Giovanni Montana Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Verified Unlearning; Knowledge Distillation; Data Privacy
3191	Empowering Decision Trees via Shape Function Branching Authors: Nakul Upadhya; Eldan Cohen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: interpretability; trustworthy AI; interpretable machine learning; decision tree
3192	Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection Authors: Yinjie Min; Furong Xu; Xinyao Li; Changliang Zou; Yongdao Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Batch mode deep active learning; Auxiliary data; Regression
3193	Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples Authors: Suqin Yuan; Lei Feng; Bo Han; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: label noise; learning with noisy labels; sample selection
3194	Entropy-Calibrated Label Distribution Learning Authors: Yunan Lu; Bowen Xue; Xiuyi Jia; Lei Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: label distribution learning; learning with ambiguity; entropy calibration
3195	Epistemic Uncertainty Estimation in Regression Ensemble Models with Pairwise Epistemic Estimators Authors: Lucas Berry; David Meger Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Uncertainty Quantification; Dynamics Modeling; Ensembles
3196	Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions Authors: Tobias Schmidt; Steffen Schneider; Matthias Bethge Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: equivariance; identifiability; representation learning; group theory
3197	Estimating Model Performance Under Covariate Shift Without Labels Authors: Jakub Białek; Juhani Kivimäki; Wojtek Kuberski; Nikolaos Perrakis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: unsupervised performance estimation; confidence-based performance estimation; OOD error prediction; machine learning; model monitoring; probabilistic methods;…
3198	Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death Authors: Sihyung Park; Wenbin Lu; Shu Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Dynamic Treatment Regimes; Panel Data; Principal Stratification; Truncation by Death; Multiple Robustness; Nonparametric Efficiency; Personalized Medicine
3199	Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings Authors: Yanru Wu; Jianning Wang; Xiangyu Chen; Enming Zhang; Yang Tan; Hanbing Liu; Yang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Continual learning; Transferability; Hypernetworks
3200	Explore In-Context Message Passing Operator for Graph Neural Networks in A Mean Field Game Authors: Tingting Dan; Xinwei Huang; Won Hwa Kim; Guorong Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph neural network; mean-field game; reaction diffusion model; partial differential equation
3201	Exploring Structural Degradation in Dense Representations for Self-supervised Learning Authors: Siran Dai; Qianqian Xu; Peisong Wen; Yang Liu; Qingming Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Self-Supervised Learning; Dense representation learning
3202	Exploring Tradeoffs through Mode Connectivity for Multi-Task Learning Authors: Zhipeng Zhou; Ziqiao Meng; Pengcheng Wu; Peilin Zhao; Chunyan Miao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-Task Learning; Mode Connectivity
3203	Exploring the Noise Robustness of Online Conformal Prediction Authors: HuaJun Xi; Kangdao Liu; Hao Zeng; Wenguang Sun; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Trustworthy Machine Learning; Conformal Prediction; Uncertainty Quantification
3204	FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation Authors: Jiacheng Cui; Xinyue Bi; Yaxin Luo; Xiaohan Zhao; Jiacheng Liu; Zhiqiang Shen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Efficient Learning; Dataset Distillation; Data-Level Residual Connections
3205	FHGS: Feature-Homogenized Gaussian Splatting Authors: Q.G. Duan; Benyun ZHAO; Mingqiao Han; Yijun Huang; Ben M. Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Feature Fusion; Scene Understanding
3206	Fairness-aware Anomaly Detection via Fair Projection Authors: Feng Xiao; Xiaoying Tang; Jicong Fan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: anomaly detection; group fairnesss; deep learning
3207	Feature Unlearning: Theoretical Foundations and Practical Applications with Shuffling Authors: Yue Yang; Jinhao Li; Hao Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Machine unlearning; Features Unlearning
3208	FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning Authors: Haizhou Du; Yiran Xiang; Yiwen Cai; Xiufeng Liu; Zonghan Wu; Huan Huo; Guodong Long Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Heterogeneous Federated Learning; Public-Data-Free; Knowledge Gain Entropy
3209	FedIGL: Federated Invariant Graph Learning for Non-IID Graphs Authors: Lingren Wang; Wenxuan Tu; Jiaxin Wang; Xiong Wang; Jieren Cheng; Jingxin Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Graph Learning; Invariant Learning
3210	FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning Authors: Yunbo Li; Jiaping Gui; Zhihang Deng; Fanchao Meng; Yue Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Semi-Asynchronous Federated Learning; Aggregation Strategies; Convergence Analysis
3211	Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking Authors: Ting Han; Linara Adilova; Henning Petzka; Jens Kleesiek; Michael Kamp Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Generalization; flatness; neural collapse
3212	FoGE: Fock Space inspired encoding for graph prompting Authors: Sotirios Panagiotis Chytas; Rudrasis Chakraborty; Vikas Singh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graphs; Fock Space; Geometric Algebra; Vector Symbolic Architectures
3213	Fortifying Time Series: DTW-Certified Robust Anomaly Detection Authors: Shijie Liu; Tansu Alpcan; Christopher Leckie; Sarah Monazam Erfani Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Certified Robustness; Anomaly Detection; Time Series
3214	Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning Authors: Jiawei Gu; Yidi Wang; Qingqiang Sun; Xinming Li; Xiao Luo; Ziyue Qiao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Bias Correction; Semi-Supervised Learning; Random-Phase Images; Long-Tailed Distribution
3215	Fréchet Geodesic Boosting Authors: Yidong Zhou; Su I Iao; Hans-Georg Müller Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: geodesic metric space; gradient boosting; non-Euclidean output; Wasserstein space
3216	Fully Dynamic Algorithms for Chamfer Distance Authors: Gramoz Goranci; Shaofeng Jiang; Peter Kiss; Eva Szilagyi; Qiaoyuan Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Chamfer distance; dynamic algorithms
3217	Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification Authors: Qingyi Pan; Yicheng Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Semi-Supervised classification; Virtual Adversarial Training; Function Space; Sobolev Space
3218	GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy Authors: Kailai Li; Jiong Lou; Jiawei Sun; Honghong Zeng; Wen Li; Chentao Wu; Yuan Luo; Wei Zhao; Shouguo Du; Jie LI Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Neural Network; label noise
3219	Gaussian Regression-Driven Tensorized Incomplete Multi-View Clustering with Dual Manifold Regularization Authors: Zhenhao Zhong; Zhibin Gu; Pengpeng Yang; Yaqian zhou; Ruiqiang Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-view clustering
3220	Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective Authors: Wei Feng; Zongyuan Ge Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Generalized Category Discovery; Domain Shift
3221	Generalizing while preserving monotonicity in comparison-based preference learning models Authors: Julien Fageot; Peva Blanchard; Gilles Bareilles; Lê-Nguyên Hoang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Monotonicity; Preference Learning; Alignement; Bradley-Terry.
3222	Geometric Algorithms for Neural Combinatorial Optimization with Constraints Authors: Nikolaos Karalias; Akbar Rafiey; Yifei Xu; Zhishang Luo; Behrooz Tahmasebi; Connie Jiang; Stefanie Jegelka Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: self-supervised learning; combinatorial optimization; learning with discrete constraints; algorithmic reasoning
3223	Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning Authors: Zhuang Qi; Yu Pan; Lei Meng; Sijin Zhou; Han Yu; Xiaoxiao Li; Xiangxu Meng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Federated Prompt Learning; One-shot Federated Learning
3224	Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks Authors: Florian A. Hölzl; Daniel Rueckert; Georgios Kaissis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: deep learning; generalization; classification
3225	Graph Data Selection for Domain Adaptation: A Model-Free Approach Authors: Ting-Wei Li; Ruizhong Qiu; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: data-centric AI; domain adaptation; graph machine learning
3226	Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration Authors: Yonghao Liu; Yajun Wang; Chunli Guo; Wei Pang; Ximing Li; Fausto Giunchiglia; Xiaoyue Feng; Renchu Guan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph few-shot learning; Distribution calibration
3227	Graphs Help Graphs: Multi-Agent Graph Socialized Learning Authors: Jialu Li; Yu Wang; Pengfei Zhu; Wanyu Lin; Xinjie Yao; Qinghua Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Socialized Learning; Graph Collaborative Learning; Graph Lifelong Learning
3228	H-SPLID: HSIC-based Saliency Preserving Latent Information Decomposition Authors: Lukas Miklautz; Chengzhi Shi; Andrii Shkabrii; Theodoros Thirimachos Davarakis; Prudence Lam; Claudia Plant; Jennifer Dy; Stratis Ioannidis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Hilbert-Schmidt Independence Criterion (HSIC); Salient Feature Learning; Latent Space Separation
3229	HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models Authors: Han Liu; Jiaqi Li; Zhi Xu; Xiaotong Zhang; Xiaoming Xu; Fenglong Ma; Yuanman Li; Hong Yu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Adversarial Attack; Vision-Language Pre-Trained Models
3230	Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection Authors: Shenzhi Yang; Junbo Zhao; Sharon Li; Shouqing Yang; Dingyu Yang; Xiaofang Zhang; Haobo Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Out-of-distribution detection; Node representation learning; Graph neural networks
3231	HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations Authors: Shuaicheng Zhang; Haohui Wang; Junhong Lin; Xiaojie Guo; Yada Zhu; Si Zhang; Dongqi Fu; Dawei Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph heterophily; graph signal processing; model generalization
3232	Heterogeneous Adversarial Play in Interactive Environments Authors: Manjie Xu; Xinyi Yang; Jiayu Zhan; Wei Liang; Chi Zhang; Yixin Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: self-play; curriculum learning; interative reasoning
3233	Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe Authors: Chong You; Rajesh Jayaram; Ananda Theertha Suresh; Robin Nittka; Felix X. Yu; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Information Retrieval; Hierarchical Retrieval; Dual encoders
3234	Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings Authors: Erel Naor; Ofir Lindenbaum Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Tabular data; Self-supervised learning; Autoencoders; Hybrid models; Feature selection; Oblivious soft decision trees; Model-based augmentation
3235	Hybrid Re-matching for Continual Learning with Parameter-Efficient Tuning Authors: Weicheng Wang; Guoli Jia; Xialei Liu; Liang Lin; Jufeng Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Continual Learning; Parameter-Efficient Tuning
3236	Hybrid-Collaborative Augmentation and Contrastive Sample Adaptive-Differential Awareness for Robust Attributed Graph Clustering Authors: TianxiangZhao; Youqing Wang; Jinlu Wang; Jiapu Wang; Mingliang Cui; Junbin Gao; Jipeng Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Attributed graph clustering; contrastive learning; hybrid-collaborative representation augmentation; adaptive-differential sample awareness
3237	HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup Authors: Kaixuan Yao; Zhuo Li; Jianqing Liang; Jiye Liang; Ming Li; Feilong Cao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Hypergraph neural networks; hypergraph representation learning; graph neural networks
3238	Hypergraph-Enhanced Contrastive Learning for Multi-View Clustering with Hyper-Laplacian Regularization Authors: Zhibin Gu; Weili Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-view Clustering
3239	Imbalances in Neurosymbolic Learning: Characterization and Mitigating Strategies Authors: Efthymia Tsamoura; Kaifu Wang; Dan Roth Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: neurosymbolic learning; learning theory; learning imbalances
3240	Improved Algorithms for Overlapping and Robust Clustering of Edge-Colored Hypergraphs: An LP-Based Combinatorial Approach Authors: Changyeol Lee; Yongho Shin; Hyung-Chan An Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: overlapping edge-colored clustering; robust edge-colored clustering; edge-colored clustering; hypergraph clustering; primal-dual methods; approximation algorit…
3241	Improved Confidence Regions and Optimal Algorithms for Online and Offline Linear MNL Bandits Authors: Yuxuan Han; Jose Blanchet; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: MNL Bandits; Assortment Optimization; SupCB
3242	In-Context Compositional Learning vis Sparse Coding Transformer Authors: Wei Chen; Jingxi Yu; Zichen Miao; Qiang Qiu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: sparse coding; compositional learning; representational learning
3243	Incomplete Multi-view Clustering via Hierarchical Semantic Alignment and Cooperative Completion Authors: Xiaojian Ding; Lin Zhao; Xian Li; Xiaoying Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: incomplete multi-view clustering; unsupervised learning; joint representation learning
3244	Incomplete Multi-view Deep Clustering with Data Imputation and Alignment Authors: Jiyuan Liu; Xinwang Liu; Xinhang Wan; KE LIANG; Weixuan Liang; Sihang Zhou; Huijun Wu; Kehua Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-view clustering; deep clustering; incomplete clustering
3245	Inference-Time Personalized Alignment with a Few User Preference Queries Authors: Victor-Alexandru Pădurean; Parameswaran Kamalaruban; Nachiket Kotalwar; Alkis Gotovos; Adish Singla Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: personalized alignment; inference-time alignment; user preferences; best of N; best-arm identification; logistic bandits
3246	Inverse Optimization Latent Variable Models for Learning Costs Applied to Route Problems Authors: Alan Lahoud; Erik Schaffernicht; Johannes A. Stork Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: inverse optimization; latent space
3247	KAIROS: Scalable Model-Agnostic Data Valuation Authors: Jiongli Zhu; Parjanya Prajakta Prashant; Alex Cloninger; Babak Salimi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: data valuation; mmd; model-agnostic; data-centric
3248	KSP: Kolmogorov-Smirnov metric-based Post-Hoc Calibration for Survival Analysis Authors: Jeongho Park; Daheen Kim; Cheoljun Kim; Hyungbin Park; Sangwook Kang; Gwangsu Kim Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: survival analysis; calibration; Kolmogorov-Smirnov metric; post-processing
3249	Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning Authors: Yaxin Hou; Bo Han; Yuheng Jia; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Long-tailed Learning; semi-supervised learning
3250	LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders Authors: Borna khodabandeh; Amirabbas Afzali; Amirhossein Afsharrad; Seyed Shahabeddin Mousavi; Sanjay Lall; Sajjad Amini; Seyed-Mohsen Moosavi-Dezfooli Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Adversarial finetuning; Adversarial Robustness; Unsupervised Learning; Visual Encoders; Constrained Optimization
3251	Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification Authors: Zinan Lin; Enshu Liu; Xuefei Ning; Junyi Zhu; Wenyu Wang; Sergey Yekhanin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: generative modeling; representation learning; classification; contrastive learning; rectified flow; diffusion models; latent zoning network
3252	Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data Authors: Manh Duong Nguyen; Trong Nghia Hoang; Thanh Trung Huynh; Quoc Viet Hung Nguyen; Phi Le Nguyen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Modality Missing; Multimodal Learning
3253	Learning Robust Spectral Dynamics for Temporal Domain Generalization Authors: En Yu; Jie Lu; Xiaoyu Yang; Guangquan Zhang; Zhen Fang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Domain generalization; Temporal domain generalization; Concept drift
3254	Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections Authors: Berken Utku Demirel; Christian Holz Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Unsupervised learning; contrastive learning; time series
3255	Learning from Disjoint Views: A Contrastive Prototype Matching Network for Fully Incomplete Multi-View Clustering Authors: Yiming Wang; Qun Li; Dongxia Chang; Jie Wen; Hua Dai; Fu Xiao; Yao Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-view learning; deep clustering; fully incomplete information
3256	Learning from Interval Targets Authors: Rattana Pukdee; Ziqi Ke; Chirag Gupta Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Interval regression; Weak supervision; Learning theory
3257	Learning to Clean: Reinforcement Learning for Noisy Label Correction Authors: Marzi Heidari; Hanping Zhang; Yuhong Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Learning with Noisy Labels; Reinforcement Learning
3258	Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding Authors: Sunwoo Kim; Hyunjin Hwang; Kijung Shin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph representation learning; Neural architecture encoding; Self-supervised learning
3259	Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings Authors: Yehya Farhat; Hamza ElMokhtar Shili; Fangshuo Liao; Chen Dun; Mirian Del Carmen Hipolito Garcia; Guoqing Zheng; Ahmed Hassan Awadallah; Robert Sim; Dimitrios Dimitriadis; Anastasi… Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Mixture-of-Expert; Decentralized Training
3260	Learning to price with resource constraints: from full information to machine-learned prices Authors: Ruicheng Ao; Jiashuo Jiang; David Simchi-Levi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: online learning; dynamic pricing; resource constraint; informed price
3261	Less is More: Local Intrinsic Dimensions of Contextual Language Models Authors: Benjamin Matthias Ruppik; Julius von Rohrscheidt; Carel van Niekerk; Michael Heck; Renato Vukovic; Shutong Feng; Hsien-chin Lin; Nurul Lubis; Bastian Rieck; Marcus Zibrowius; Mili… Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: latent space geometry; contextual embeddings; LLMs; intrinsic dimension; training dynamics; generalization; overfitting detection; grokking
3262	Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms Authors: Guangyi Zhang; Yanhao Wang; Chengliang Chai; Qiyu Liu; Wei Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Data valuation; Shapley values; k-Nearest Neighbors; Clustering
3263	Long-tailed Recognition with Model Rebalancing Authors: Jiaan Luo; Feng Hong; Qiang Hu; Xiaofeng Cao; Feng Liu; Jiangchao Yao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: machine learning; imbalanced learning
3264	MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees Authors: Herbert Woisetschläger; Ryan Zhang; Shiqiang Wang; Hans Arno Jacobsen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: inference optimization; model routing; stochastic optimization algorithms; convergence analysis
3265	MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging Authors: Zihuan Qiu; Yi Xu; Chiyuan He; Fanman Meng; Linfeng Xu; Qingbo Wu; Hongliang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Continual model merging; Continual learning; Model merging
3266	Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization Authors: Tan Pan; Kaiyu Guo; Dongli Xu; Zhaorui Tan; Chen Jiang; Deshu Chen; Xin Guo; Brian C. Lovell; LIMEI HAN; Yuan Cheng; Mahsa Baktashmotlagh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: minimal sufficient representations; semantic learning; unsupervised domain generalization
3267	Missing Data Imputation by Reducing Mutual Information with Rectified Flows Authors: Jiahao Yu; Qizhen Ying; Leyang Wang; Ziyue Jiang; Song Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: missing data; imputation; rectified flow; generative model
3268	Mitigating Spurious Features in Contrastive Learning with Spectral Regularization Authors: Naghmeh Ghanooni; Waleed Mustafa; Dennis Wagner; Sophie Fellenz; Anthony Widjaja Lin; Marius Kloft Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Contrastive Learning; Spurious Correlation; Self-supervised Learning; Representation Learning
3269	Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning Authors: Kai Jiang; Zhengyan Shi; Dell Zhang; Hongyuan Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Class incremental learning; lifelong learning
3270	Model Editing for Vision Transformers Authors: Xinyi Huang; Kangfei Zhao; Long-Kai Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: model editing; vision transformer
3271	Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning Authors: Ruilin Tong; Haodong Lu; Yuhang Liu; Dong Gong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Continual learning; Model inversion; Vision-Language models.
3272	Monitoring Risks in Test-Time Adaptation Authors: Mona Schirmer; Metod Jazbec; Christian A. Naesseth; Eric Nalisnick Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: test-time adaptation; risk monitoring; sequential testing
3273	MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification Authors: Xinya Qin; Lu Bai; Lixin Cui; Ming Li; Hangyuan Du; Edwin Hancock Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Convolutional Networks; Graph Classification; Over-smoothing
3274	Multimodal Negative Learning Authors: Baoquan Gong; Xiyuan Gao; Pengfei Zhu; Qinghua Hu; Bing Cao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multimodal Negative Learning; Multimodal Imbalance; Robustness Lower Bound; Unimodal Confidence Margin
3275	Multiresolution Analysis and Statistical Thresholding on Dynamic Networks Authors: Raphael Romero; Tijl De Bie; Nick Heard; Alexander Modell Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Dynamic Networks; Multiresolution Analysis; Changepoint Detection
3276	NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective Authors: Xiaohan Qin; Xiaoxing Wang; Ning Liao; Junchi Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-Task Learning; Task Imbalance
3277	Near-Exponential Savings for Population Mean Estimation with Active Learning Authors: Julian Morimoto; JACOB GOLDIN; Daniel E. Ho Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Adaptive Sampling; Variance-UCB; Disagreement Based Active Learning
3278	Neural Fractional Attention Differential Equations Authors: Qiyu Kang; Wenjun Cui; Xuhao Li; Yuxin Ma; Xueyang Fu; Wee Peng Tay; Yidong Li; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: neural differential equations
3279	Neural Mutual Information Estimation with Vector Copulas Authors: Yanzhi Chen; Zijing Ou; Adrian Weller; Michael U. Gutmann Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: mutual information; flow-based models; copulas; vector ranks
3280	OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models Authors: Boyang Peng; Sanqing Qu; Tianpei Zou; Fan Lu; Ya Wu; Kai Chen; Siheng Chen; Yong Wu; Guang Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Open Set Learning; OOD Detection; Vision Language Models
3281	OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction Authors: Jie Yan; Jing Liu; Zhong-Yuan Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Secure Federated Clustering; Non-IID Data; Lagrange Coded Computing; Distance Reconstruction
3282	On the SAC-BL Algorithm for Anomaly Detection Authors: Xinsong Ma; Jie Wu; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: SAC-BL algorithm; False positive rate
3283	On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective Authors: Ning Zhang; Henry Kenlay; Li Zhang; Mihai Cucuringu; Xiaowen Dong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: stability; graph convolutional neural networks; graph signal processing
3284	One Prompt Fits All: Universal Graph Adaptation for Pretrained Models Authors: Yongqi Huang; Jitao Zhao; Dongxiao He; Xiaobao Wang; Yawen Li; Yuxiao Huang; Di Jin; Zhiyong Feng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: graph prompt learning; graph representation learning; few-shot learning
3285	Online Feedback Efficient Active Target Discovery in Partially Observable Environments Authors: Anindya Sarkar; Binglin Ji; Yevgeniy Vorobeychik Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Diffusion Model; Active Target Discovery
3286	Online Locally Differentially Private Conformal Prediction via Binary Inquiries Authors: Qiangqiang Zhang; Chenfei Gu; Xinwei Feng; Jinhan Xie; Ting Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Prediction; Local Differential Privacy; Online Learning; Pinball Loss
3287	Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making Authors: Larkin Liu; Jalal Etesami Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online Learning; Mixture of Experts
3288	Online Time Series Forecasting with Theoretical Guarantees Authors: Zijian Li; Changze Zhou; Minghao Fu; Sanjay Manjunath; Fan Feng; Guangyi Chen; Yingyao Hu; Ruichu Cai; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online Time Series Forecasting
3289	Online robust locally differentially private learning for nonparametric regression Authors: Chenfei Gu; Qiangqiang Zhang; Ting Li; Jinhan Xie; Niansheng Tang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online learning; nonparametric regression; local differential privacy; Huber loss
3290	Optimal Estimation of the Best Mean in Multi-Armed Bandits Authors: Takayuki Osogami; Junya Honda; Junpei Komiyama Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: confidence ellipsoid; sample complexity; pure exploration; probably approximately correct; non-convexity
3291	Optimal Graph Clustering without Edge Density Signals Authors: Maximilien Dreveton; Elaine S. Liu; Matthias Grossglauser; Patrick Thiran Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: community detection; unsupervised learning; stochastic block model; spectral clustering
3292	Optimal Online Change Detection via Random Fourier Features Authors: Florian Kalinke; Shakeel Gavioli-Akilagun Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: change point detection; information-theoretic lower bounds; kernel mean embedding; non-parametric testing
3293	Parameter Dynamics of Online Machine Learning and Test-time Adaptation Authors: Jae-Hong Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online machine learning; Test-time adaptation; Probabilistic parameter dynamics; Bayesian deep learning
3294	Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification Authors: Chaewoon Bae; Doyun Choi; Jaehyun Lee; Jaemin Yoo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Hypergraph neural network; Few-shot node classification; Linear model
3295	Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions Authors: Wenyuan Zhao; Adithya Balachandran; Chao Tian; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Partial information decomposition; multimodal learning; information theory; Gaussian distributions
3296	Pattern-Guided Adaptive Prior for Structure Learning Authors: Lyuzhou Chen; Yijia Sun; Yanze Gao; Xiangyu Wang; Derui Lyu; Taiyu Ban; Xin Wang; Xiren Zhou; Huanhuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Machine Learning; Causal Discovery; Prior Knowledge; Adaptive
3297	Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning Authors: Torben Berndt; Benjamin Walker; Tiexin Qin; Jan Stühmer; Andrey Kormilitzin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Temporal Graph Representation Learning; Neural Differential Equations; Equivariance Theory; Continuous Graph Neural Networks; Dynamical Systems
3298	Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation Authors: Ting Wei; Biao Mei; Junliang Lyu; Renquan Zhang; Feng Zhou; Yifan Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Personalized Bayesian Federated Learning; Stein Variational Gradient Descent; Wasserstein Barycenter Aggregation
3299	Pessimistic Data Integration for Policy Evaluation Authors: Xiangkun Wu; Ting Li; Gholamali Aminian; Armin Behnamnia; Hamid R. Rabiee; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Data Integration; Policy Evaluation; Causal Inference; A/B testing
3300	Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning Authors: Minglu Zhao; Dehong Xu; Deqian Kong; Wenhao Zhang; Ying Nian Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: place cells; population coding; position embedding; random walk transition kernels; path planning; spatial navigation; cognitive map
3301	PointTruss: K-Truss for Point Cloud Registration Authors: Yue Wu; Jun Jiang; Yongzhe Yuan; Maoguo Gong; Qiguang Miao; Hao Li; Mingyang Zhang; Wenping Ma Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Point cloud registration; compatibility graph; outlier removal; k-truss; correspondence selection
3302	Post Hoc Regression Refinement via Pairwise Rankings Authors: Kevin Tirta Wijaya; Michael Sun; Minghao Guo; Hans-peter Seidel; Wojciech Matusik; Vahid Babaei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: prediction refinement; pairwise ranking; molecular property prediction
3303	Prediction-Powered Semi-Supervised Learning with Online Power Tuning Authors: Noa Shoham; Ron Dorfman; Shalev Shaer; Kfir Yehuda Levy; Yaniv Romano Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Semi-Supervised Learning; Pseudo-Labeling; Online Learning; Prediction-Powered Inference; Debiasing
3304	Preference Learning with Response Time: Robust Losses and Guarantees Authors: Ayush Sawarni; Sahasrajit Sarmasarkar; Vasilis Syrgkanis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Preference learning; Response Time; Evidence Accumulation Drift Diffusion; Neyman Orthogonality; Statistical Efficiency
3305	Preference-Based Dynamic Ranking Structure Recognition Authors: Nan Lu; Jian Shi; Xinyu Tian Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: dynamic ranking; Bradley-Terry model; structural change detection; preference-based data; clustering
3306	Preference-Guided Diffusion for Multi-Objective Offline Optimization Authors: Yashas Annadani; Syrine Belakaria; Stefano Ermon; Stefan Bauer; Barbara E Engelhardt Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Offline Optimization; Multi-Objective Optimization; Diffusion Models; Classifier Guidance
3307	Principled Model Routing for Unknown Mixtures of Source Domains Authors: Christoph Dann; Yishay Mansour; Teodor Vanislavov Marinov; Mehryar Mohri Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: model routing; domain adaptation; theory
3308	Provable Scaling Laws for the Test-Time Compute of Large Language Models Authors: Yanxi Chen; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: test-time compute; inference scaling law; large language model
3309	Provably Efficient Multi-Task Meta Bandit Learning via Shared Representations Authors: Jiabin Lin; Shana Moothedath Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Meta learning; Multi-task learning; Linear bandits; Low dimensional learning; Representation learning
3310	Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO Authors: Kaiyang Guo; Yinchuan Li; Zhitang Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Preference optimization; learning from feedback; language model alignment
3311	Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Authors: Amir Rezaei Balef; Claire Vernade; Katharina Eggensperger Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi Armed Bandit; Automated Machine Learning; Hyperparameter Optimization
3312	QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification Authors: Qian Tang; Yuwen Gu; Boxiang Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: High dimensional data; imbalanced classification; quantile regression
3313	Quantifying Distributional Invariance in Causal Subgraph for IRM-Free Graph Generalization Authors: Yang Qiu; Yixiong Zou; Jun Wang; Wei Liu; Xiangyu Fu; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: graph neural networks; out-of-distribution
3314	RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget Authors: Adam Piaseczny; Md Kamran Chowdhury Shisher; Shiqiang Wang; Christopher Brinton Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: concept drift; resource constraints; efficient updates; provable guarantees; update policy; adaptive policy
3315	RGNMR: A Gauss-Newton method for robust matrix completion with theoretical guarantees Authors: Eilon Vaknin Laufer; Boaz Nadler Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Robust Matrix Completion; Outlier Detection; Gauss-Newton Method; Matrix Factorization; Robust PCA; Matrix Completion
3316	ROVER: Recursive Reasoning Over Videos with Vision-Language Models for Embodied Tasks Authors: Philip Schroeder; Ondrej Biza; Thomas Weng; Hongyin Luo; James R. Glass Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: vision-language model; video reasoning; embodied intelligence; recursion
3317	Random Forest Autoencoders for Guided Representation Learning Authors: Adrien Aumon; Shuang Ni; Myriam Lizotte; Guy Wolf; Kevin R. Moon; Jake Slater Rhodes Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Manifold learning; Random Forest proximities; Regularized autoencoders; Semi-supervised visualization; Out-of-sample extension
3318	RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels Authors: Zhiqiang Kou; Yucheng Xie; Hailin Wang; Junyang Chen; Jing Wang; Ming-Kun Xie; Shuo Chen; Yuheng Jia; Tongliang Liu; Xin Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: multi-label learning; label distribution learning
3319	RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation Authors: Zixun Wang; Ben Dai Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: semantic segmentation; reciprocal moment approximation; Dice and IoU optimization
3320	Reduction-based Pseudo-label Generation for Instance-dependent Partial Label Learning Authors: Congyu Qiao; Ning Xu; Yihao Hu; Xin Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: instance-dependent; partial label learning; pseudo-label
3321	Redundancy-Aware Test-Time Graph Out-of-Distribution Detection Authors: Yue Hou; He Zhu; Ruomei Liu; Yingke Su; Junran Wu; Ke Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: out-of-distribution detection; structural entropy
3322	Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition Authors: Pei Peng; Ming-Kun Xie; Hang Hao; Tong Jin; Sheng-Jun Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Zero-Shot Recognition; Counterfactual Reasoning; Causal Inference; CLIP
3323	ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains Authors: Guillaume Vray; Devavrat Tomar; Xufeng Gao; Jean-Philippe Thiran; Evan Shelhamer; Behzad Bozorgtabar Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Domain Shift; Catastrophic Forgetting; Recurring Domains
3324	ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning Authors: Timo Kaufmann; Yannick Metz; Daniel A. Keim; Eyke Hüllermeier Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Reward Modeling; Response Time; RLHF; Preference Learning; Preference Strength; Learning from Rankings; Data Efficiency
3325	Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning Authors: Shikuang Deng; Jiayuan Zhang; Yuhang Wu; Ting Chen; Shi Gu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Synaptic plasticity; Hebbian learning; Unsupervised learning; Local learning
3326	Rethinking Out-of-Distribution Detection and Generalization with Collective Behavior Dynamics Authors: Zhenbin Wang; Lei Zhang; Wei Huang; Zhao Zhang; Zizhou Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: domain shift; out-of-distribution detection; out-of-distribution generalization; transfer learning
3327	Rethinking PCA Through Duality Authors: Jan Quan; Johan Suykens; Panagiotis Patrinos Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: PCA; DCA; Non-Convex Optimization; Unsupervised Learning
3328	Revisiting Logit Distributions for Reliable Out-of-Distribution Detection Authors: Jiachen Liang; RuiBing Hou; Minyang Hu; Hong Chang; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Out-of-Distribution Detection; Logits Analysis; Open-set Recognition; Model Reliability
3329	Revisiting Orbital Minimization Method for Neural Operator Decomposition Authors: Jongha Jon Ryu; Samuel Zhou; Gregory W. Wornell Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: spectral decomposition; self-adjoint positive definite operator; structured representation learning; streaming algorithm
3330	Revolutionizing Graph Aggregation: From Suppression to Amplification via BoostGCN Authors: Jiaxin Wu; Chenglong Pang; Guangxiong Chen; Jie Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Convolutional Networks; Collaborative Filtering; Recommendation System; Graph Aggregation; Information Amplification
3331	Robust Cross-modal Alignment Learning for Cross-Scene Spatial Reasoning and Grounding Authors: Yanglin Feng; Hongyuan Zhu; Dezhong Peng; Xi Peng; Xiaomin Song; Peng Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Cross-modal retrieval; 3D vision grounding; benchmark dataset
3332	Robust Label Proportions Learning Authors: Jueyu Chen; Wantao Wen; Yeqiang Wang; Erliang Lin; Yemin Wang; Yuheng Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Label Proportions Learning; Optimal Transport
3333	Robust Satisficing Gaussian Process Bandits Under Adversarial Attacks Authors: Artun Saday; Y. Cahit Yıldırım; Cem Tekin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: robust satisficing; regret minimization; adversarial attacks
3334	Robustness in Both Domains: CLIP Needs a Robust Text Encoder Authors: Elias Abad Rocamora; Christian Schlarmann; Naman Deep Singh; Yongtao Wu; Matthias Hein; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multimodal Adversarial Robustness; Robust Text Encoders; CLIP; Unsupervised Adversarial Finetuning
3335	RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion Authors: Yuwu Lu; Chunzhi Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Black-box Unsupervised Domain Adaptation; Neuroscience; Diffusion Model; Prompt Learning
3336	SAINT: Sequence-Aware Integration for Spatial Transcriptomics Multi-View Clustering Authors: Zeyu Zhu; KE LIANG; Lingyuan Meng; Meng Liu; Suyuan Liu; Renxiang Guan; Miaomiao Li; Wanwei Liu; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-view Clustering; Graph Learning; AI4SCI
3337	SHGR: A Generalized Maximal Correlation Coefficient Authors: Samuel Stocksieker; Denys Pommeret Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Maximal Correlation; HGR; Non Linear Correlation; Neural Network
3338	SNAP: Low-Latency Test-Time Adaptation with Sparse Updates Authors: Hyeongheon Cha; Dong Min Kim; Hye Won Chung; Taesik Gong; Sung-Ju Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Unsupervised Domain Adaptation
3339	Sampled Estimators For Softmax Must Be Biased Authors: Li-Chung Lin; Yaxu Liu; Chih-Jen Lin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Softmax; Negative Sampling; Extreme Classification
3340	Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning Authors: Félix Lefebvre; Gaël Varoquaux Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Knowledge graph; Downstream tasks; Scalable; Feature learning
3341	Scalable Signature Kernel Computations via Local Neumann Series Expansions Authors: Matthew Tamayo-Rios; Alexander Schell; Rima Alaifari Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: signature kernel; goursat; rough path; machine learning; time series
3342	Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching Authors: Zhong Li; Qi Huang; Yuxuan Zhu; Lincen Yang; Mohammad Mohammadi Amiri; Niki van Stein; Matthijs van Leeuwen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Anomaly Detection; Outlier Detection
3343	Scaling Up Parameter Generation: A Recurrent Diffusion Approach Authors: Kai Wang; Dongwen Tang; Wangbo Zhao; Konstantin Schürholt; Zhangyang Wang; Yang You Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Parameter Generation
3344	Self Iterative Label Refinement via Robust Unlabeled Learning Authors: Hikaru Asano; Tadashi Kozuno; Yukino Baba Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Weakly Supervised Learning; LLM Self-Refinement; Low Resource Domain
3345	Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation Authors: Zixi Wang; Yushe Cao; Yubo Huang; Jinzhu Wei; Jingzehua Xu; Shuai Zhang; Xin Lai Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Gradual Domain Adaptation; Adversarial Domain Adaptation; Distribution Shift; Out-of-distribution Generalization
3346	Semi-Supervised Regression with Heteroscedastic Pseudo-Labels Authors: Xueqing Sun; Renzhen Wang; Quanziang Wang; Yichen Wu; Xixi Jia; Deyu Meng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Semi-supervised regression; Pseudo-labels; Heteroscedasticity
3347	Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis Authors: Yicong Jiang; Tracy Ke Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Eigenvalue problem; successive projection; mixed membership estimation; topic modeling
3348	Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning Authors: Haozhe Shan; Minni Sun; Lea Duncker Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: continual learning; compositionality; contextual inference; low-rank RNN
3349	Shape-Informed Clustering of Multi-Dimensional Functional Data via Deep Functional Autoencoders Authors: Samuel Singh; Shirley Coyle; Mimi Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: autoencoder; cluster analysis; functional data; manifold; multi-dimensional; neural network; phase variation; universal approximation
3350	Shapley-Based Data Valuation for Weighted $k$-Nearest Neighbors Authors: Guangyi Zhang; Qiyu Liu; Aristides Gionis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Data valuation; Shapley values; Nearest Neighbors
3351	Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search Authors: Yimin Jiang; Huibing Wang; Jinjia Peng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Person Search
3352	SpectraLDS: Provable Distillation for Linear Dynamical Systems Authors: Devan Shah; Shlomo Fortgang; Sofiia Druchyna; Elad Hazan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Linear Dynamical Systems; Sequence-to-Sequence Neural Networks; State-Space Models
3353	Spectral Analysis of Diffusion Models with Application to Schedule Design Authors: Roi Benita; Michael Elad; Joseph Keshet Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Spectral analysis; Designing scheduling; Diffusion models
3354	Spectral Graph Coarsening Using Inner Product Preservation and the Grassmann Manifold Authors: Ido Cohen; Ronen Talmon Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph coarsening; Grassmann manifold; Graph signals; Spectral methods
3355	Statistical Analysis of an Adversarial Bayesian Weak Supervision Method Authors: Steven An Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: weak supervision; bayesian; adversarial; convergence; consistency
3356	Statistical Inference for Gradient Boosting Regression Authors: Haimo Fang; Kevin Tan; Giles Hooker Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Boosting; regression; nonparametric; trees; inference; statistics
3357	Stochastic Forward-Forward Learning through Representational Dimensionality Compression Authors: Zhichao Zhu; YANG QI; Hengyuan Ma; Wenlian Lu; Jianfeng Feng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Forward-Forward Algorithm; Effective Dimensionality; Energy-Based Learning; Neural Coding; Representational Geometry
3358	Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization Authors: Parvin Nazari; Bojian Hou; Davoud Ataee Tarzanagh; Li Shen; George Michailidis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Online Learning; Bilevel Learning; Zeroth- and First-Order Methods
3359	Storyboard-guided Alignment for Fine-grained Video Action Recognition Authors: Enqi Liu; Liyuan Pan; Yan Yang; Yiran Zhong; Zhijing Wu; Xinxiao Wu; Liu Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Storyboard; Fine-grained; Atomic action.
3360	Stratify or Die: Rethinking Data Splits in Image Segmentation Authors: Naga Venkata Sai Jitin Jami; Thomas Altstidl; Jonas Mueller; Jindong Li; Dario Zanca; Bjoern Eskofier; Heike Leutheuser Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: segmentation; stratification; genetic algorithm; cross-validation
3361	TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction Authors: Zhongyi Yu; Jianqiu Wu; Zhenghao Wu; Shuhan Zhong; Weifeng Su; Chul-Ho Lee; Weipeng Zhuo Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Temporal Graph Neural Network; Interaction Heterogeneity; Skewed Distribution; Time Encoding Function; Link History Aggregation
3362	TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding Authors: Shukai Gong; YIYANG FU; Fengyuan Ran; Quyu Kong; Feng Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Transformer point process; sampling; speculative decoding
3363	TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning Authors: Hongyang He; Xinyuan Song; Yangfan He; Zeyu Zhang; Yanshu Li; Haochen You; Lifan Sun; Wenqiao Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Semi-supervised learning
3364	TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition Authors: Zhe Zhao; Zhiheng Gong; Pengkun Wang; HaiBin Wen; Cankun Guo; Bo Xue; Xi Lin; Zhenkun Wang; Qingfu Zhang; Yang Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Long-tailed learning; Multi-objective optimization
3365	Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Authors: Xinghao Wu; Xuefeng Liu; Jianwei Niu; Guogang Zhu; Mingjia Shi; Shaojie Tang; Jing Yuan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Personalized Federated Learning; Feature-Classifier Mismatch; Prompt-Driven Feature Transformation
3366	Test-Time Adaptation by Causal Trimming Authors: Yingnan Liu; Rui Qiao; Mong-Li Lee; Wynne Hsu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: test-time adaptation; distribution shift; causality; representation
3367	Thompson Sampling in Function Spaces via Neural Operators Authors: Rafael Oliveira; Xuesong Wang; Kian Ming A. Chai; Edwin V. Bonilla Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: neural operators; Thompson sampling; bandits; Bayesian optimization
3368	Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining Authors: Nathan Stromberg; Christos Thrampoulidis; Lalitha Sankar Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: last layer retraining; imbalance; upweighting; downsampling; overparameterization
3369	TopER: Topological Embeddings in Graph Representation Learning Authors: Astrit Tola; Funmilola Mary Taiwo; Cuneyt Gurcan Akcora; Baris Coskunuzer Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: TopER; Graph Embeddings; Topological Data Analysis; Interpretability; Graph Visualization; Graph Classification; Graph Clustering; Low-Dimensional Representati…
3370	Topology-Aware Conformal Prediction for Stream Networks Authors: Jifan Zhang; Fangxin Wang; Zihe Song; Philip S. Yu; Kaize Ding; Shixiang Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: conformal prediction; stream networks; spatiotemporal graph; uncertainty quantification
3371	Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration Authors: Wenju Sun; Qingyong Li; Wen Wang; Yang Liu; Yangliao Geng; Boyang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Model Merging; Vision Transformer; Task Arithmetic
3372	Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming Authors: Zhen Zhang; Bingsheng He Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Neural Networks; Unsupervised Graph Domain Adaptation; Open-set Graph Domain Adaptation
3373	Towards a Geometric Understanding of Tensor Learning via the t-Product Authors: Andong Wang; Yuning Qiu; Haonan Huang; Zhong Jin; Guoxu Zhou; Qibin Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: tensor decomposition; tensor learning; t-SVD; tensor approximation
3374	Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Authors: Yuqi Jia; Minghong Fang; Hongbin Liu; Jinghuai Zhang; Neil Zhenqiang Gong Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Poison Forensics; Poisoning Attacks
3375	Transductive Conformal Inference for Full Ranking Authors: Jean-Baptiste Fermanian; Pierre Humbert; Gilles Blanchard Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Prediction; Ranking Algorithm; False Coverage Proportion
3376	Transfer Learning on Edge Connecting Probability Estimation Under Graphon Model Authors: Yuyao Wang; Yu-Hung Cheng; Debarghya Mukherjee; Huimin Cheng Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graphon Estimation; Transfer Learning; Gromov-Wasserstein Transport; Neighborhood Smoothing; Adaptive Debiasing
3377	Tree Ensemble Explainability through the Hoeffding Functional Decomposition and TreeHFD Algorithm Authors: Clement Benard Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: explainability; gradient boosted trees; random forests; functional ANOVA decomposition; Hoeffding decomposition; Shapley values
3378	Tree-Sliced Entropy Partial Transport Authors: Viet-Hoang Tran; Thanh Tran; Thanh Chu; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: tree-sliced wasserstein distance; optimal transport; partial transport; unbalanced optimal transport
3379	Ultrametric Cluster Hierarchies: I Want ‘em All! Authors: Andrew Draganov; Pascal Weber; Rasmus Skibdahl Melanchton Jørgensen; Anna Beer; Claudia Plant; Ira Assent Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Ultrametric; Center-Based Clustering; Hierarchical Clustering; DBSCAN; HDBSCAN; k-means; k-median
3380	Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning Authors: Manh Luong; Khai Nguyen; Dinh Phung; Gholamreza Haffari; Lizhen Qu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: audio captioning; exposure bias; sliced Wasserstein kernel; multimodal
3381	Uncertainty Estimation by Flexible Evidential Deep Learning Authors: Taeseong Yoon; Heeyoung Kim Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: uncertainty quantification; single forward pass uncertainty; evidential deep learning; flexible Dirichlet distribution
3382	Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations Authors: Fred Xu; Thomas Markovich Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Graph Neural Network; Uncertainty estimation; Stochastic Differential Equations
3383	Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data Authors: Xingyu Ren; Pengwei Liu; Pengkai Wang; Guanyu Chen; Qinxin Wu; Dong Ni Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Surrogate modeling; Semi-supervised regression; Meta pseudo label
3384	Understanding Contrastive Learning via Gaussian Mixture Models Authors: Parikshit Bansal; Ali Kavis; sujay sanghavi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: contrastive learning; self-supervised learning; gaussian mixture models; linear dimensionality reduction
3385	UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition Authors: guojunlei; Rong Zhang; Tianhang Liu; Hong Li; Zhiyuan Ma; Chi Wang; Weiwei Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: video concept transfer; video editing; controllable video generation
3386	Unsupervised Federated Graph Learning Authors: Lele Fu; Tianchi Liao; Sheng Huang; Bowen Deng; zhangchuanfu; Shirui Pan; Chuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning; Unsupervised Learning
3387	Valid Selection among Conformal Sets Authors: Mahmoud Hegazy; Liviu Aolaritei; Michael I. Jordan; Aymeric Dieuleveut Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Prediction; Selection after Inference; Uncertainty Quantification
3388	Vertical Federated Feature Screening Authors: Huajun Yin; Liyuan Wang; Yingqiu Zhu; Liping Zhu; Danyang Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Vertical federated learning; Feature screening; Ultrahigh dimensionality; Imbalance data; Subsampling
3389	Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation Authors: Jing Wang; Wonho Bae; Jiahong Chen; Wenxu Wang; Junhyug Noh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Latent Diffusion Model; $k$-Nearest Neighbor; Domain Adaptation; Privacy Preserving
3390	WaLRUS: Wavelets for Long range Representation Using State Space Methods Authors: Hossein Babaei; Mel White; Sina Alemohammad; Richard Baraniuk Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: State-space models; SSM; HiPPO; Mamba; wavelet; safari; time series; sequence modeling; online function approximation; online memory
3391	Wasserstein Transfer Learning Authors: Kaicheng Zhang; Sinian Zhang; Doudou Zhou; Yidong Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: data aggregation; multitask learning; non-Euclidean output; optimal transport; Wasserstein metric
3392	When and How Unlabeled Data Provably Improve In-Context Learning Authors: Yingcong Li; Xiangyu Chang; Muti Kara; Xiaofeng Liu; Amit Roy-Chowdhury; Samet Oymak Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: In-context learning; attention; semi-supervision; Gaussian mixture model
3393	X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection Authors: Tong Wei; Bo-Lin Wang; Jiang-Xin Shi; Yu-Feng Li; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: out-of-distribution detection; long-tail learning
3394	You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering Authors: Hanyang Li; Yuheng Jia; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Deep Clustering; Clustering; Plug-in
3395	Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator Authors: Beier Luo; Shuoyuan Wang; Sharon Li; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Confidence Calibration; LLM
3396	Zero-Shot Performance Prediction for Probabilistic Scaling Laws Authors: Viktoria Schram; Markus Hiller; Daniel Beck; Trevor Cohn Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Gaussian Processes; Active Learning; Scaling Laws
3397	A Fair Federated Learning Method for Handling Client Participation Probability Inconsistencies in Heterogeneous Environments Authors: Siyuan Wu; Yongzhe Jia; Haolong Xiang; Xiaolong Xu; Xuyun Zhang; Lianyong Qi; Wanchun Dou Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Model-heterogeneous federated learning; Fair federated learning; Inconsistent client participation
3398	AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning Authors: Wei Fu; Jiaxuan Gao; Xujie Shen; Chen Zhu; Zhiyu Mei; Chuyi He; Shusheng Xu; Guo Wei; Jun Mei; WANG JIASHU; Tongkai Yang; Binhang Yuan; Yi Wu Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: distributed system
3399	ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification Authors: Kaijun Zhou; Xingyu Yan; Xingda Wei; Xijun Li; Jinyu Gu Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Speculative Diffusion; Diffusion model; Multimodel Generation; Inference acceleration
3400	Accelerating Parallel Diffusion Model Serving with Residual Compression Authors: Jiajun Luo; Yicheng Xiao; Jianru Xu; Yangxiu You; Rongwei Lu; Chen Tang; Jingyan Jiang; Zhi Wang Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: diffusion model acceleration; parallel inference
3401	Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents Authors: Qizheng Zhang; Michael Wornow; Kunle Olukotun Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Caching; Memory; Serving; LLM Agents
3402	Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers Authors: Heekang Song; Wan Choi Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Distributed Learning; Straggler Mitigation; Gradient Coding; Optimal Structure
3403	Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving Authors: Xinyu Wang; Jonas M. Kübler; Kailash Budhathoki; Yida Wang; Matthäus Kleindessner Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: LoRA; LLM; block-diagonal; Tensor Parallelism; BD-LoRA
3404	ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive Authors: Xinhao Luo; Zihan Liu; Yangjie Zhou; Shihan Fang; Ziyu Huang; Yu Feng; Chen Zhang; Shixuan Sun; Zhenzhe Zheng; Jingwen Leng; Minyi Guo Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Operator Fusion; LLM Inference; Inter-core Interconnect
3405	Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism Authors: Kunyun Wang; Bohan Li; Kai Yu; Minyi Guo; Jieru Zhao Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Diffusion Models; Parallelism; Efficient Communication
3406	Contextual Tokenization for Graph Inverted Indices Authors: Pritish Chakraborty; Indradyumna Roy; Soumen Chakrabarti; Abir De Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: graph indexing; graph retrieval; graph representation learning
3407	Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage Authors: Ziqi Yuan; Haoyang Zhang; Yirui Eric Zhou; Apoorve Mohan; I-Hsin Chung; Seetharami Seelam; Jian Huang Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: GPU Memory; GPUDirect Storage; Large Language Model; Offloading; Cost-Efficient Training; Solid State Drives
3408	DUO: No Compromise to Accuracy Degradation Authors: Jinda Jia; Cong Xie; Hanlin Lu; Fanjiang Ye; Hao Feng; Daoce Wang; Haibin Lin; Zhi Zhang; Xin Liu Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Gradient Compression; Communication Computation Overlapping; Efficient Training; Distributed Training
3409	Diffusion Federated Dataset Authors: Seok-Ju Hahn; Junghye Lee Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: federated learning; diffusion model; collaborative machine learning; synthetic data; cooperative inference
3410	Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search Authors: Yousef Al-Jazzazi; Haya Diwan; Jinrui Gou; Cameron N Musco; Christopher Musco; Torsten Suel Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: nearest neighbor search; navigable graphs; beam search; graph-based search; hsnw; diskann
3411	DynaPipe: Dynamic Layer Redistribution for Efficient Serving of LLMs with Pipeline Parallelism Authors: HongXin Xu; Tianyu Guo; Xianwei Zhang Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Large Language Model; Pipeline Parallelism; KV Cache; Sample
3412	Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs Authors: Guoliang HE; YOUHE JIANG; Wencong Xiao; Jiang Kaihua; Shuguang Wang; Jun Wang; Du Zixian; Zhuo Jiang; Xinlei Zhang; Binhang Yuan; Eiko Yoneki Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Large Language Models Training; Data Center Topology; Resource Scheduling
3413	Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving Authors: Fangzhou Wu; Sandeep Silwal Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Large Language Models; LLM Routing; Cost-Aware Inference; Online Algorithm; Multi-LLM Serving
3414	EnCompass: Enhancing Agent Programming with Search Over Program Execution Paths Authors: Zhening Li; Armando Solar-Lezama; Yisong Yue; Stephan Zheng Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: AI agents; large language models; agent frameworks; angelic nondeterminism; inference-time strategies; test-time scaling
3415	Exploiting Dynamic Sparsity in Einsum Authors: Christoph Staudt; Mark Blacher; Tim Hoffmann; Kaspar Kasche; Olaf Beyersdorff; Joachim Giesen Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: einsum; tensor network; dynamic sparsity; tensor contraction
3416	FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery Authors: Geeho Kim; Jinu Lee; Bohyung Han Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Federated Learning; Generalized Category Discovery
3417	FlashMoE: Fast Distributed MoE in a Single Kernel Authors: Osayamen Jonathan Aimuyo; Byungsoo Oh; Rachee Singh Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Distributed Machine Learning; Kernel Fusion; Mixture-of-Experts
3418	FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training Authors: Yunqi Gao; Bing Hu; Mahdi Boloursaz Mashhadi; A-Long Jin; Yanfeng Zhang; Pei Xiao; Rahim Tafazolli; Merouane Abdelkader DEBBAH Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Distributed Deep Learning; Large Language Model; Mixture-of-Experts; Pipeline Scheduling
3419	Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation Authors: Muhammad Adnan; Nithesh Kurella; Akhil Arunkumar; Prashant J. Nair Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Text-to-Video Generation; Diffusion Transformers; Efficient Serving
3420	Gatekeeper: Improving Model Cascades Through Confidence Tuning Authors: Stephan Rabanser; Nathalie Rauschmayr; Achin Kulshrestha; Petra Poklukar; Wittawat Jitkrittum; Sean Augenstein; Congchao Wang; Federico Tombari Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: cascading; deferral; selective prediction; confidence tuning
3421	Generative Caching for Structurally Similar Prompts and Responses Authors: Sarthak Chakraborty; Suman Nath; Xuchao Zhang; Chetan Bansal; Indranil Gupta Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Generative Caching; Hit Rate Optimization; Repeatable Workflows; LLM Serving Systems
3422	HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location Authors: Ting Sun; Penghan Wang; Fan Lai Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: LLM Inference; Request Scheduling; Machine Learning Systems
3423	InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction Authors: Bin Lei; Weitai Kang; Zijian Zhang; Winson Chen; Xi Xie; Shan Zuo; Mimi Xie; Ali Payani; Mingyi Hong; Yan Yan; Caiwen Ding Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: LLM based Agent; Multimodal Generalist Agent; Automated Computer Interaction; Infrastructure
3424	KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Authors: Zaifeng Pan; AJJKUMAR PATEL; Yipeng Shen; Zhengding Hu; Yue Guan; Wan-Lu Li; Lianhui Qin; Yida Wang; Yufei Ding Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: LLM serving systems; multi-agent workflow; prefix caching
3425	Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving Authors: Yuchen Zhang; Hanyue Du; Chun Cao; Jingwei Xu Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: LLMs
3426	MUSTAFAR: Promoting Unstructured Sparsity for KV Cache Pruning in LLM Inference Authors: Donghyeon Joo; Helya Hosseini; Ramyad Hadidi; Bahar Asgari Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: KV cache compression; Unstructured Pruning; Efficient LLM Inference
3427	MeCeFO: Enhancing LLM Training Robustness via Fault-Tolerant Optimization Authors: Rizhen Hu; Yutong He; Ran Yan; Mou Sun; Binhang Yuan; Kun Yuan Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Fault tolerance; Memory efficiency; Computation efficiency; Distributed training
3428	NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs Authors: Haeun Lee; Omin Kwon; Yeonhong Park; Jae W. Lee Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: FP8; Quantization; LLM; Dual-Precision; Floating Point Quantization
3429	PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference Authors: Jiarui Fang; Jinzhe Pan; Aoyu Li; Xibo Sun; WANG Jiannan Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Diffusion Model; GPU; Sequence Parallel; Pipeline Parallel
3430	Progressive Data Dropout: An Embarrassingly Simple Approach to Train Faster Authors: Shriram M S; Xinyue Hao; Shihao Hou; Yang Lu; Laura Sevilla-Lara; Anurag Arnab; Shreyank N Gowda Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Dropout; Regularization
3431	PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture Authors: Yi Liu; Yang Liu; Leqian Zheng; Jue Hong; Junjie Shi; Qingyou Yang; Ye Wu; Cong Wang Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Vertical Federated Learning; Publisher/Subscriber Architecture; Computational Resource Utilization; Asynchronous Mechanism
3432	Quartet: Native FP4 Training Can Be Optimal for Large Language Models Authors: Roberto L. Castro; Andrei Panferov; Soroush Tabesh; Oliver Sieberling; Jiale Chen; Mahdi Nikdan; Saleh Ashkboos; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: quantized training; large language models
3433	REASONING COMPILER: LLM-Guided Optimizations for Efficient Model Serving Authors: Annabelle Sujun Tang; Christopher Priebe; Rohan Mahapatra; Lianhui Qin; Hadi Esmaeilzadeh Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Compiler; Optimization; LLM; LLMs for Code Reasoning and Optimization
3434	Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling Authors: Hongtao Xu; Wenting Shen; Yuanxin Wei; Ang Wang; Guo Runfan; Tianxing Wang; Yong Li; Mingzhen Li; Weile Jia Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: long context fine-tuning; context parallelism; supervised fine-tuning; LLM; Large language model
3435	SmartCache: Context-aware Semantic Cache for Efficient Multi-turn LLM Inference Authors: Chengye YU; Tianyu Wang; Zili Shao; Song Jiang Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Semantic Cache; Key-Value Cache; Large Language Model
3436	SpaceServe: Spatial Multiplexing of Complementary Encoders and Decoders for Multimodal LLMs Authors: Zhicheng Li; Shuoming Zhang; Jiacheng Zhao; Siqi Li; Xiyu Shi; Yangyu Zhang; Shuaijiang Li; Donglin Yu; Zheming Yang; YUAN WEN; Huimin Cui Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Multimodal large language models; Inference optimizations; Infrastructure
3437	SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning Authors: Rui Pan; Yinwei Dai; Zhihao Zhang; Gabriele Oliaro; Zhihao Jia; Ravi Netravali Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Inference-Time Compute; Large Reasoning Models; Efficient Inference; Speculative Execution; Systems for Machine Learning
3438	StarTrail: Concentric Ring Sequence Parallelism for Efficient Near-Infinite-Context Transformer Model Training Authors: Ziming Liu; Shaoyu Wang; Shenggan Cheng; Zhongkai Zhao; Kai Wang; Xuanlei Zhao; James Demmel; Yang You Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Sequence Parallelism; Machine Learning System; Distributed Training
3439	Synergistic Tensor and Pipeline Parallelism Authors: Mengshi Qi; Jiaxuan Peng; Jie Zhang; Juan Zhu; Yong Li; Huadong Ma Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Distributed System; Pipeline Parallelism; Large-Scale Model Training; LLM; Machine Learning System
3440	Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning Authors: Xiuwen Fang; Mang Ye Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: federated learning; label noise; parameter-efficient fine-tuning
3441	Transcending Cost-Quality Tradeoff in Agent Serving via Session-Awareness Authors: Yanyu Ren; Li Chen; Dan Li; Xizheng Wang; Zhiyuan Wu; Yukai Miao; Yu Bai Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Agent Serving; LLM Serving; LLM infrastructure; Large language models; inference optimizations
3442	Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization Authors: Alexander Long; Chamin P Hewa Koneputugodage; Thalaiyasingam Ajanthan; Yan Zuo; Gil Avraham; Violetta Shevchenko; Hadi Mohaghegh Dolatabadi; Sameera Ramasinghe Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Decentralized training; LLMs; Distributed training; Open source; Weight secrecy
3443	VLM in a flash: I/O-Efficient Sparsification of Vision-Language Model via Neuron Chunking Authors: Kichang Yang; Seonjun Kim; Minjae Kim; Nairan Zhang; Chi Zhang; Youngki Lee Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: Vision Language Model; Activation Sparsification; Flash Storage
3444	ZeCO: Zero-Communication Overhead Sequence Parallelism for Linear Attention Authors: Yuhong Chou; Zehao Liu; Rui-Jie Zhu; Xinyi Wan; Tianjian Li; Congying Chu; Qian Liu; Jibin Wu; Zejun MA Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: sequence parallelism; context parallelism; linear attention; long context training
3445	msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML Authors: Zhaolan Huang; Emmanuel Baccelli Affiliation: 官方页面未列出 Official area / track: infrastructure Recognition: Poster/Regular Keywords: TinyML; DNN; Fusion; Microcontroller; Random access memory
3446	$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data Authors: Sheida RahnamaiKordasiabi; Damian Dalle Nogare; Florian Jug Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: semantic segmentation; microscopy; representation learning; variational networks
3447	$\texttt{STRCMP}$: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Authors: Xijun Li; Jiexiang Yang; Jinghao Wang; Bo Peng; Jianguo Yao; Haibing Guan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Learning to Optimize; LLM Code Generation; Combinatorial Optimization
3448	3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding Authors: Chang Wu; Zhiyuan Liu; Wen Shu; Liang Wang; Yanchen Luo; Wenqiang Lei; Yatao Bian; Junfeng Fang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Self-Supervised Learning; 3D Molecule Pretraining; Molecular Property Prediction; 3D Masked Graph Modeling; 3D Auto-Encoder
3449	3DID: Direct 3D Inverse Design for Aerodynamics with Physics-Aware Optimization Authors: Yuze Hao; Linchao Zhu; Yi Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Inverse Design; Aerodynamic Shape Optimization
3450	A Closed-Form Solution for Fast and Reliable Adaptive Testing Authors: Yan Zhuang; Chenye Ke; Zirui Liu; Qi Liu; Yuting Ning; Zhenya Huang; Weizhe Huang; Qingyang Mao; Shijin Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Computerized Adaptive Testing; Human Assessment; Psychometrics; Ability Estimation; AI Education
3451	A Physics-preserved Transfer Learning Method for Differential Equations Authors: Hao-Ran Yang; Chuan-Xian Ren Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Differential equations; Transfer learning; Optimal transport
3452	A Plug-and-Play Query Synthesis Active Learning Framework for Neural PDE Solvers Authors: Zhiyuan Wang; Jinwoo Go; Byung-Jun Yoon; Nathan Urban; Xiaoning Qian Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: active learning; neural PDE solver; query synthesis; expected information gain
3453	A Reinforcement Learning-based Bidding Strategy for Data Consumers in Auction-based Federated Learning Authors: Xiaoli Tang; Han Yu; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: federated learning; auction-based federated learning; Gaussian Mixture Model
3454	AANet: Virtual Screening under Structural Uncertainty via Alignment and Aggregation Authors: Wenyu Zhu; Jianhui Wang; Bowen Gao; Yinjun Jia; Haichuan Tan; Ya-Qin Zhang; Wei-Ying Ma; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Virtual screening; Drug discovery
3455	AION-1: Omnimodal Foundation Model for Astronomical Sciences Authors: Liam Holden Parker; Francois Lanusse; Jeff Shen; Ollie Liu; Tom Hehir; Leopoldo Sarra; Lucas Thibaut Meyer; Micah Bowles; Sebastian Wagner-Carena; Helen Qu; Siavash Golkar; Albert… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: astrophysics; foundation model; multimodal generative model
3456	AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction Authors: Niklas Freymuth; Tobias Würth; Nicolas Schreiber; Balázs Gyenes; Andreas Boltres; Johannes Mitsch; Aleksandar Taranovic; Tai Hoang; Philipp Dahlinger; Philipp Becker; Luise Kärger… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mesh Generation; Graph Neural Networks; Learned Simulation; AI4Science
3457	AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation Authors: Qingqiu Li; Zihang Cui; Seongsu Bae; Jilan Xu; Runtian Yuan; Yuejie Zhang; Rui Feng; Quanli Shen; Xiaobo Zhang; Shang Gao; Junjun He; Shujun Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Medical Large Multimodal Models; Chain of Thought; Anatomical Ontology; Chest X-rays; Medical Visual Question Answering
3458	APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoning Authors: Azim Ospanov; Farzan Farnia; Roozbeh Yousefzadeh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: formal reasoning; automated theorem proving; lean prover; ai for math
3459	ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data Authors: Xiaoyang Liu; Kangjie Bao; Jiashuo Zhang; Yunqi Liu; Yu Chen; Yuntian Liu; Yang Jiao; Tao Luo Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Autoformalization; Formal Mathematics; Lean 4; Automated theorem proving; Dataset
3460	Accelerating 3D Molecule Generative Models with Trajectory Diagnosis Authors: Zhilong Zhang; Yuxuan Song; Yichun Wang; Jingjing Gong; Hanlin Wu; Dongzhan Zhou; Hao Zhou; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D Molecule Generation; Fast Generation; Drug Design
3461	Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network Authors: Dahao Xu; Jiahua Rao; Mingming Zhu; Jixian Zhang; Wei Lu; Shuangjia Zheng; Yuedong Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein Mutational Effects; Protein-Protein Interactions; Binding Free Energy; Hierarchical Many-Body Attention
3462	Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction Authors: Jialin Zhao; Alessandro Muscoloni; Umberto Michieli; Yingtao Zhang; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Complex networks; network models; link prediction; automata theory; network automata; Cannistraci-Hebb theory
3463	AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Authors: Xinbiao Wang; Yuxuan Du; Zihan Lou; Yang Qian; Kaining Zhang; Yong Luo; Bo Du; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Quantum Computing; Quantum Property Estimation; Data Engine; Quantum Many-body Problems; Deep Learning
3464	Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences Authors: Jing-An Sun; Hang Fan; Junchao Gong; Ben Fei; Kun Chen; Fenghua Ling; Wenlong Zhang; Wanghan Xu; Li Yan; Pierre Gentine; LEI BAI Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: data assimilation; score-based model; preference alignment; reinforcement learning
3465	Aligning Transformers with Continuous Feedback via Energy Rank Alignment Authors: Shriram Chennakesavalu; Frank Hu; Sebastian Ibarraran; Grant M. Rotskoff Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: transformers; alignment; preference optimization; protein language models; chemical language models; property optimization
3466	AlphaFold Database Debiasing for Robust Inverse Folding Authors: Cheng Tan; Zhenxiao Cao; Zhangyang Gao; Siyuan Li; Yufei Huang; Stan Z. Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein structure; protein design; AlphaFold
3467	Amortized Sampling with Transferable Normalizing Flows Authors: Charlie B. Tan; Majdi Hassan; Leon Klein; Saifuddin Syed; Dominique Beaini; Michael M. Bronstein; Alexander Tong; Kirill Neklyudov Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: sampling; proteins; peptides; normalizing flows
3468	An Investigation of Memorization Risk in Healthcare Foundation Models Authors: Sana Tonekaboni; Lena Stempfle; Adibvafa Fallahpour; Walter Gerych; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Healthcare; evaluation; foundation model; memorization
3469	Atomic Diffusion Models for Small Molecule Structure Elucidation from NMR Spectra Authors: Ziyu Xiong; Yichi Zhang; Foyez Alauddin; Chu Xin Cheng; Joon Soo An; Mohammad R. Seyedsayamdost; Ellen D Zhong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Diffusion Models; NMR Spectroscopy; Natural Products; Machine Learning for Chemistry
3470	AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise Authors: Dhruv Agarwal; Bodhisattwa Prasad Majumder; Reece Adamson; Megha Chakravorty; Satvika Reddy Gavireddy; Aditya Parashar; Harshit Surana; Bhavana Dalvi Mishra; Andrew McCallum; Ashi… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: scientific discovery; LLM; open-ended; Bayesian; surprise; data-driven discovery; autonomous discovery
3471	AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing Authors: Samuel Bright-Thonney; Christina Reissel; Gaia Grosso; Nathaniel S. Woodward; Katya Govorkova; Andrzej Novak; Sang Eon Park; Eric A. Moreno; Philip Harris Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: anomaly detection; contrastive learning; scientific discovery; hypothesis testing; automated discovery
3472	Automatic Auxiliary Task Selection and Adaptive Weighting Boost Molecular Property Prediction Authors: Zhiqiang Zhong; Davide Mottin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Molecular Property Prediction; Auxiliary Task Learning; Automatic Task Selection
3473	BIPNN: Learning to Solve Binary Integer Programming via Hypergraph Neural Networks Authors: Sen Bai; Chunqi Yang; Xin Bai; Xin Zhang; Zhengang Jiang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: binary integer program; hypergraph neural network; nonlinear integer programming
3474	Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging Authors: Ibrahim Ethem Hamamci; Sezgin Er; Suprosanna Shit; Hadrien Reynaud; Dong Yang; Pengfei Guo; Marc Edgar; Daguang Xu; Bernhard Kainz; Bjoern Menze Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D Medical Imaging; Vision-Language Modeling; Radiology Report Generation; Text-Conditional 3D CT Synthesis; Volumetric Tokenization
3475	Bidirectional Representations Augmented Autoregressive Biological Sequence Generation Authors: Xiang Zhang; Jiaqi Wei; Zijie Qiu; Sheng Xu; Zhi Jin; ZhiQiang Gao; Nanqing Dong; Siqi Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein Sequencing
3476	Bilevel Network Learning via Hierarchically Structured Sparsity Authors: Jiayi Fan; Jingyuan Yang; Shuangge Ma; Mengyun Wu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: neural network; network estimation; hierarchical selection layers; sparse regularization
3477	BioCG: Constrained Generative Modeling for Biochemical Interaction Prediction Authors: Amitay Sicherman; Kira Radinsky Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Constrained Generative Modeling; Drug-Target Interaction (DTI); Drug Discovery; Enzyme-Catalyzed Reactions
3478	BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model Authors: Adibvafa Fallahpour; Andrew Magnuson; Purav Gupta; Shihao Ma; Jack Naimer; Arnav Shah; Haonan Duan; Omar Ibrahim; Hani Goodarzi; Chris J. Maddison; BO WANG Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Biological Reasoning; DNA Foundation Models; Large Language Models (LLMs); Reinforcement Learning; Multimodal
3479	BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation Authors: Rishal Aggarwal; Jacky Chen; Nicholas Matthew Boffi; David Koes Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Noise Contrastive Estimation; Flow Matching; Score Matching; Free Energy Estimation; Boltzmann Distribution; Boltzmann Generators
3480	BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM Authors: Wen Xiong; Junzhong Ji; Jinduo Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Brain effective connectivity; Large language models; functional magnetic resonance imaging
3481	Breaking the Discretization Barrier of Continuous Physics Simulation Learning Authors: Fan Xu; Hao Wu; Nan Wang; Lilan Peng; Kun Wang; Wei Gong; Xibin Zhao Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: dynamical system modeling
3482	Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution Authors: Sihan Wang; Wenjie Du; Qing Zhu; Yang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Artificial intelligence in chemical research; gain-based core subset selection; asymmetric molecular interaction graph neural networks
3483	CAMO: Convergence-Aware Multi-Fidelity Bayesian Optimization Authors: WEI W. XING; Lu Zhenjie; Akeel Shah Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Multi fidelity Bayesian Optimisation; Fidelity Differential Equations; Convergence aware; Acquisition function; Analysis; Regret bounds
3484	CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs Authors: Bowen Gao; Yanwen Huang; Yiqiao Liu; Wenxuan Xie; Bowei He; Haichuan Tan; Wei-Ying Ma; Ya-Qin Zhang; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Large Language Model; Drug Design
3485	Cancer Survival Analysis via Zero-shot Tumor Microenvironment Segmentation on Low-resolution Whole Slide Pathology Images Authors: Jiao Tang; WEI SHAO; Daoqiang Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 官方列表未公开
3486	Causal Climate Emulation with Bayesian Filtering Authors: Sebastian Hickman; Ilija Trajković; Julia Kaltenborn; Francis Pelletier; Alexander T Archibald; Yaniv Gurwicz; Peer Nowack; David Rolnick; Julien Boussard Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Climate; causality; interpretability; physics; emulation
3487	Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features Authors: Kaichen Xu; Yihang Du; Mianpeng Liu; Zimu Yu; Xiaobo Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Representation Learning; Causal Inference; Positional Encoding
3488	CellCLIP - Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning Authors: MingYu Lu; Ethan Weinberger; Chanwoo Kim; Su-In Lee Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Contrastive learning; CLIP; cell morphology; Cell Painting; cross-modal retrieval; intra-modal retrieval; zero-shot Learning
3489	ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions Authors: Yue Huang; Zhengzhe Jiang; Xiaonan Luo; Kehan Guo; Haomin Zhuang; Yujun Zhou; Zhengqing Yuan; Xiaoqi Sun; Jules Schleinitz; Yanbo Wang; Shuhao Zhang; Mihir Surve; Nitesh V Chawla;… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Chemistry; Large Language Model; Synthetic Data
3490	ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Authors: Yifeng Jiao; Yuchen Liu; Yu Zhang; Xin Guo; Yushuai Wu; Chen Jiang; Jiyang Li; Hongwei Zhang; LIMEI HAN; Xin Gao; Yuan Qi; Yuan Cheng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: computational biology; scATAC-seq; cell representation
3491	Collapsing Taylor Mode Automatic Differentiation Authors: Felix Dangel; Tim Siebert; Marius Zeinhofer; Andrea Walther Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Automatic differentiation; Taylor mode; Differential operators; Higher-order derivatives; PINNs; VMC; Laplacian
3492	Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning Authors: Haolin Pan; Hongyu Lin; Haoran Luo; Yang Liu; Kaichun Yao; Libo Zhang; Mingjie Xing; Yanjun Wu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: LLM; Compiler Tuning; Reinforcement Learning; Agent; Compilation Pass
3493	Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms Authors: Hiroshi Kera; Nico Pelleriti; Yuki Ishihara; Max Zimmer; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Polynomial System Solving; Border Bases; Transformer; Computational Algebra; AI4Science; AI4Math
3494	Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models Authors: Michael Plainer; Hao Wu; Leon Klein; Stephan Günnemann; Frank Noe Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Energy-based Diffusion Models; Molecular Dynamics; Coarse-Graining; Boltzmann Emulator; Fokker-Planck Equation; Mixture of Experts
3495	Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis Authors: Mohammadsaleh Refahi; Mahdi Abavisani; Bahrad A. Sokhansanj; James R. Brown; Gail Rosen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: DNA Language Models; Markovian Regularization
3496	Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration Authors: Seungyeon Choi; Hwanhee Kim; Chihyun Park; Dahyeon Lee; Seungyong Lee; Yoonju Kim; Hyoungjoon Park; Sein Kwon; Youngwan Jo; Sanghyun Park Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Structure-based Drug Design; 3D Molecule Generation; Generative Model
3497	Covariate-moderated Empirical Bayes Matrix Factorization Authors: William R.P. Denault; Karl Tayeb; Peter Carbonetto; Jason Willwerscheid; Matthew Stephens Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: matrix factorization; non-negative matrix factorization; variational inference; empirical Bayes; spatial transcriptomics
3498	Curly Flow Matching for Learning Non-gradient Field Dynamics Authors: Katarina Petrović; Lazar Atanackovic; Viggo Moro; Kacper Kapuśniak; Ismail Ilkan Ceylan; Michael M. Bronstein; Joey Bose; Alexander Tong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Single-cell; Trajectory Inference; Schrödinger Bridge; Optimal Transport; Flow Matching
3499	Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization Authors: Baoyi He; Luotian Yuan; Ying Wei; Fei Wu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: LLM; model merging; chemical
3500	D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images Authors: Shurong Yang; Dong Wei; Yihuang Hu; Qiong Peng; Hong Liu; Yawen Huang; Xian Wu; Yefeng Zheng; Liansheng Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Computational Pathology; Whole Slide Images; Virtual Staining; Diffusion Transformer
3501	D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction Authors: Lipei Zhang; Rui Sun; Zhongying Deng; Yanqi Cheng; Carola-Bibiane Schönlieb; Angelica I Aviles-Rivero Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Magnetic Resonance Imaging; Test-time Adaptation; Implicit Neural Representation; Self-supervised Learning
3502	DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space Authors: Junchao Gong; Jingyi Xu; Ben Fei; Fenghua Ling; Wenlong Zhang; Kun Chen; Wanghan Xu; Weidong Yang; Xiaokang Yang; LEI BAI Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: satellite forecasting; ai for earth science; spatial temporal learning; data assimilation
3503	DIsoN: Decentralized Isolation Networks for Out-of-Distribution Detection in Medical Imaging Authors: Felix Wagner; Pramit Saha; Harry Anthony; Alison Noble; Konstantinos Kamnitsas Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Out-of-Distribution Detection; Decentralized Learning; Medical Imaging; Reliability
3504	DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform Authors: Peizhi Niu; Yu-Hsiang Wang; Vishal Rana; Chetan Rupakheti; Abhishek Pandey; Olgica Milenkovic Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Molecule Generation; Diffusion Model
3505	Decoding Causal Structure: End-to-End Mediation Pathways Inference Authors: Yulong Li; Xiwei Liu; Feilong Tang; Ming Hu; Jionglong Su; Zongyuan Ge; Imran Razzak; Eran Segal Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mediation Pathways Inference
3506	DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving Authors: Xihang Yue; Yi Yang; Linchao Zhu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: PDE; Operator Learning
3507	Democratizing Clinical Risk Prediction with Cross-Cohort Cross-Modal Knowledge Transfer Authors: Qiannan Zhang; Manqi Zhou; Zilong Bai; Chang Su; Fei Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Risk Prediction; Cross-Cohort; Multimodal Learning
3508	Derivative-Free Guidance in Continuous and Discrete Diffusion Models with Soft Value-based Decoding Authors: Xiner Li; Yulai Zhao; Chenyu Wang; Gabriele Scalia; Gökcen Eraslan; Surag Nair; Tommaso Biancalani; Shuiwang Ji; Aviv Regev; Sergey Levine; Masatoshi Uehara Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Biomolecular design; Reward-guided generation; Diffusion models
3509	Detecting Data Deviations in Electronic Health Records Authors: Kaiping Zheng; Horng-Ruey Chua; Beng Chin Ooi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Electronic Health Records; Data Deviations
3510	DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction Authors: Yuxiang Li; Yang Zhang; Guowen Li; Mengxuan Chen; Meng Jin; Fang Wang; Haohuan Fu; Juepeng Zheng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Precipitation Interpolation; Graph Neural Networks; Meteorological Post-processing
3511	Diffusion Network Inference for Cross-layer Cascades Authors: Siyu Huang; Yubai Yuan; Abdul Basit Adeel Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: diffusion networks; low-rank optimization; network mixture model; social networks; variational inference
3512	Discovering Symbolic Partial Differential Equation by Abductive Learning Authors: En-Hao Gao; Cunjing Ge; Yuan Jiang; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Abductive Learning; AI4Science
3513	Distributional Adversarial Attacks and Training in Deep Hedging Authors: Guangyi He; Tobias Sutter; Lukas Gonon Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: deep hedging; distributionally robust optimization; adversarial attack; stochastic control; quantitative risk management; quantitative finance
3514	DoseSurv: Predicting Personalized Survival Outcomes under Continuous-Valued Treatments Authors: Moritz Gögl; Yu Liu; Christopher Yau; Peter Watkinson; Tingting Zhu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Causal Machine Learning; Personalized Survival Models; Time-to-Event Analysis; Treatment Effect Heterogeneity; Dose-Response Modeling
3515	DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Authors: Junjie Xu; Jiahao Zhang; Mangal Prakash; Xiang Zhang; Suhang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric deep learning; Graph Neural Networks; GNNs; RNA property prediction
3516	DualMPNN: Harnessing Structural Alignments for High-Recovery Inverse Protein Folding Authors: Xuhui Liao; Qiyu Wang; Zhiqiang Liang; Liwei Xiao; Junjie Chen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein Inverse Folding; Structure Alignments; MPNN; High Recovery
3517	DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations Authors: Diya Zhang; Mengwei Sun; Xingdan Wang; Cheng Liang; Qiaozhen Meng; Shiqiang Ma; Fei Guo Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Target-drug complex dynamic modeling; Physics constraints; Denoising diffusion probabilistic model; Flexible docking
3518	Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph Authors: Mingxuan Ye; Jie Wang; Fangzhou Zhu; Zhihai Wang; Yufei Kuang; Xijun Li; Weilin Luo; Jianye HAO; Feng Wu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: mixed-integer Linear Programming; cutting plane separator; reinforcement Learning; incremental graph
3519	Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions Authors: Ye Zhu; Duo Xu; Zhiwei Deng; Jonathan Tan; Olga Russakovsky Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Diffusion Schrödinger bridge; Astrophysics; ML4Science
3520	Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders Authors: Jiahui Zhang; Wenjie Du; Yang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: molecule representation learning; graph auto-encoder; information bottleneck
3521	EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale Authors: Yiheng Du; Aditi S. Krishnapriyan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: ML for PDEs; fluid dynamics; turbulence; simulation; large-eddy simulation; Transformer; large-scale; spectral methods
3522	Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems Authors: Minchan Jeong; Jongha Jon Ryu; Se-Young Yun; Gregory W. Wornell Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Koopman operator; spectral decomposition; singular value decomposition; neural networks; low-rank approximation; DMD; VAMP; DPNets
3523	Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics Authors: Salva Rühling Cachay; Miika Aittala; Karsten Kreis; Noah D Brenowitz; Arash Vahdat; Morteza Mardani; Rose Yu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: diffusion models; AI for science; probabilistic forecasting; weather forecasting
3524	Energy Loss Functions for Physical Systems Authors: Sékou-Oumar Kaba; Kusha Sareen; Daniel Levy; Siamak Ravanbakhsh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: deep learning; AI for science; physics; physics-informed; diffusion; molecule; generative
3525	Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets Authors: Zhiyuan Zhou; Yueming Yin; Yiming Yang; Yuguang Mu; Hoi-Yeung Li; Adams Wai-Kin Kong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: bioactivity prediction; drug discovery; target-ligand interaction
3526	EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation Authors: Chao Song; Zhiyuan Liu; Han Huang; Liang Wang; Qiong Wang; Jian-Yu Shi; Hui Yu; Yihang Zhou; Yang Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: enzyme backbone generation; functional guidance; substrate specificity; adapter
3527	Equi-mRNA: Protein Translation Equivariant Encoding for mRNA Language Models Authors: Mehdi Yazdani-Jahromi; Ali Khodabandeh Yalabadi; Ozlem Garibay Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric Deep Learning; Equivariance; Group Theory; mRNA Sequence Modeling; Language Models for Biology
3528	Eulerian Neural Network Informed by Chemical Transport for Air Quality Forecasting Authors: Xukai Zhang; Shuliang Wang; Guangyin Jin; Ziqiang Yuan; Hanning Yuan; Sijie Ruan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: air quality prediction; chemical transport modeling; Eulerian neural network
3529	Event-based HDR Structured Light Authors: Jiacheng Fu; Yue Li; Xin Dong; Wenming Weng; Yueyi Zhang; Zhiwei Xiong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D Reconstruction; HDR Structured Light; Event Camera
3530	Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models Authors: Yasha Ektefaie; Andrew Shen; Lavik Jain; Maha Farhat; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein Language Models; Reasoning; Sequence Modeling; Evolution
3531	F-Adapter: Frequency-Adaptive Parameter-Efficient Fine-Tuning in Scientific Machine Learning Authors: Hangwei Zhang; KangChun; Yan Wang; Difan Zou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Scientifc Machine Learning
3532	FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design Authors: Asal Mehradfar; Xuzhe Zhao; Yilun Huang; Emir Ceyani; Yankai Yang; Shihao han; Hamidreza Aghasi; Salman Avestimehr Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Graph Neural Networks; Gradient-Based Reasoning; Analog and mm-Wave Circuit Design; Layout-Aware Optimization; Design Automation; Physics-Informed Machine Lear…
3533	FIGRDock: Fast Interaction-Guided Regression for Flexible Docking Authors: Shikun Feng; Bicheng Lin; Yuanhuan Mo; Yuyan Ni; Wenyu Zhu; Bowen Gao; Wei-Ying Ma; haitao li; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Flexible Docking; Protein-ligand interactions
3534	FP64 is All You Need: Rethinking Failure Modes in Physics-Informed Neural Networks Authors: Chenhui Xu; Dancheng Liu; Amir Nassereldine; Jinjun Xiong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-Informed Neural Networks; Failure Modes
3535	Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling Authors: Bryan Wong; Jongwoo Kim; Huazhu Fu; Mun Yong Yi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: computational pathology; whole slide image; multiple instance learning; vision-language model; multimodal learning; data-efficient learning; few-shot learning
3536	Flexible MOF Generation with Torsion-Aware Flow Matching Authors: Nayoung Kim; Seongsu Kim; Sungsoo Ahn Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: metal-organic frameworks; crystal generation; flow matching
3537	Flow Field Reconstruction with Sensor Placement Policy Learning Authors: Ruoyan Li; Guancheng Wan; Zijie Huang; Zixiao Liu; Haixin Wang; Xiao Luo; Wei Wang; Yizhou Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Sparse Sensor Measurement; Optimal Sensor Placement; Graph Neural Network; Proximal Policy Optimization
3538	FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation Authors: Siyi Chen; Yixuan Jia; Qing Qu; He Sun; Jeffrey A Fessler Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Data Assimilation; Stochastic Dynamic System; Generative Models; Stochastic Interpolants; Inverse Problem
3539	FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting Authors: Fares B. Mehouachi; Saif Jabari Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: forecasting; spatiotemporal forecasting; neural architecture; interpretability; Koopman operators; dynamical systems; long-horizon prediction; non-negative mat…
3540	ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching Authors: Huanlei Guo; Song Liu; Bingyi Jing Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Molecular Docking; Flow Matching; Energy-Guided Sampling
3541	From Euler to AI: Unifying Formulas for Mathematical Constants Authors: Tomer Raz; Michael Shalyt; Elyasheev Leibtag; Rotem Kalisch; Shachar Weinbaum; Yaron Hadad; Ido Kaminer Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI for Science; AI for Math; LLM-Tool Integration; Mathematical Constants; Continued Fractions; Recurrences; Number Theory; Pi
3542	From Human Attention to Diagnosis: Semantic Patch-Level Integration of Vision-Language Models in Medical Imaging Authors: Dmitry Lvov; Ilya Pershin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Gaze prediction; medical image analysis; CXR; deep learning; fixation modeling; attention mechanisms; visual attention; neural networks
3543	From Indicators to Insights: Diversity-Optimized for Medical Series-Text Decoding via LLMs Authors: Xiyuan Jin; Jing Wang; Ziwei Lin; Qianru Jia; Yuqing Huang; Xiaojun Ning; Zhonghua Shi; Youfang Lin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: biomedical signal analysis; medical time series; knowledge-guided learning
3544	From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models Authors: Charles W. J. Pugh; Paulina G. Nuñez-Valencia; Mafalda Dias; Jonathan Frazer Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein language model; Genomic language model; Fitness estimation
3545	From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy Authors: Feng He; Guodong Tan; Qiankun Li; Jun Yu; Quan Wen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-Guided Learning; Microscopy; Biomedical Imaging; Neural Imaging
3546	GLID$^2$E: A Gradient-Free Lightweight Fine-tune Approach for Discrete Biological Sequence Design Authors: Hanqun Cao; Haosen Shi; Chenyu Wang; Sinno Jialin Pan; Pheng-Ann Heng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Deep learning; Protein design; Diffusion Model; Reinforcement learning; DNA design; Protein inverse folding
3547	Gate to the Vessel: Residual Experts Restore What SAM Overlooks Authors: Weili Jiang; Jinrong Lv; Xun Gong; Xiaomeng Li; Chubin Ou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Medical Image Segmentation; Foundation Models; Residual Learning; Sparse Expert Modules
3548	GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything Authors: Jinxuan Wu; Jiange Wang; Dongdong Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Medical Image Segmentation; Segment Anything Model; 2D Gaussian Field; Contourlet Transform
3549	Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders Authors: Gongxu Luo; Haoyue Dai; Loka Li; Chengqian Gao; Boyang Sun; Kun Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Selection bias; Causal discovery; latent confounders; Gene regulatory newwork inference
3550	GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow Authors: Mengbo Wang; Shourya Verma; Aditya Malusare; Luopin Wang; Yiyang Lu; Vaneet Aggarwal; Mario Sola; Ananth Grama; Nadia Atallah Lanman Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Spatial Transcriptomics; Histology Images; Rectified Flow; Generative Modeling
3551	Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations Authors: Panqi Chen; Yifan Sun; Lei Cheng; Yang Yang; Weichang Li; Yang Liu; Weiqing Liu; Jiang Bian; Shikai Fang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: tensor decomposition; generative models; physical field reconstruction
3552	Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing Authors: Eunbyeol Cho; Jiyoun Kim; Minjae Lee; Sungjin Park; Edward Choi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Electronic Health Records (EHR); EHR synthesis; time-series EHR; multi-table data
3553	Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning Authors: Nic Fishman; Gokul Gowri; Peng Yin; Jonathan S. Gootenberg; Omar Abudayyeh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: generative modeling; multiscale; distribution embeddings; representation learning; diffusion models; large language models; variational autoencoders; optimal t…
3554	Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings Authors: Aditya Sengar; Ali Hariri; Daniel Probst; PATRICK BARTH; Pierre Vandergheynst Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Latent Diffusion; Graph Neural Networks; Protein Structure Generation; All-atom modeling; Molecular Dynamics
3555	Generative property enhancer: implicit guided generation through conditional density estimation Authors: Pedro O. Pinheiro; Pan Kessel; Aya Abdelsalam Ismail; Sai Pooja Mahajan; Kyunghyun Cho; Saeed Saremi; Natasa Tagasovska Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: generative modeling; drug discovery; design optimization
3556	GeoLink: Empowering Remote Sensing Foundation Model with OpenStreetMap Data Authors: Lubin Bai; Xiuyuan Zhang; Siqi Zhang; Zepeng Zhang; Haoyu Wang; Wei Qin; Shihong Du Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Remote Sensing; Geospatial data; Foundation Model; Self-supervised Learning; Multimodal; Geoscience
3557	GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization Authors: Pengyue Jia; Seongheon Park; Song Gao; Xiangyu Zhao; Sharon Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Image Geolocalization; Image-to-GPS retrieval; Reranking; Large Multi-Modal Models
3558	Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design Authors: Rubo Wang; Xingyu Gao; Peilin Zhao Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric algebra; Bayesian flow network; RNA inverse design
3559	Geometric Mixture Models for Electrolyte Conductivity Prediction Authors: Anyi Li; Jiacheng Cen; Songyou Li; Mingze Li; YANG YU; Wenbing Huang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric Graph Neural Networks; Mixture Property Prediction; Conductivity Prediction
3560	Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains Authors: Shizheng Wen; Arsh Kumbhat; Levi Lingsch; Sepehr Mousavi; Yizhou Zhao; Praveen Chandrashekar; Siddhartha Mishra Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Partial Differential Equations; Surrogates; AI for PDEs; Neural Operators; Transformers; Computational Efficiency; Scalability; Arbitrary Domains
3561	Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective Authors: Sifan Wang; Ananyae Kumar bhartari; Bowen Li; Paris Perdikaris Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Scientific Machine Learning; Physics-informed Neural Networks; Partial Differential Equations; Second-order Optimization; Gradient Conflicts
3562	Graph-based Symbolic Regression with Invariance and Constraint Encoding Authors: Ziyu Xiang; Kenna Ashen; Xiaofeng Qian; Xiaoning Qian Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Symbolic Regression; Expression Graph; Hybrid Neural-guided Monte Carlo Tree Search; Expression Equivalence; Permutation Invariance; Physics Constraints
3563	Guided Diffusion Sampling on Function Spaces with Applications to PDEs Authors: Jiachen Yao; Abbas Mammadov; Julius Berner; Gavin Kerrigan; Jong Chul Ye; Kamyar Azizzadenesheli; Anima Anandkumar Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Diffusion Models; Function Spaces; Partial Differential Equations; Inverse Problems
3564	GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Authors: Fabian Paischer; Gianluca Galletti; William Hornsby; Paul Setinek; Lorenzo Zanisi; Naomi Carey; Stanislas Pamela; Johannes Brandstetter Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 5D Swin Transformer; Gyrokinetics; Nuclear Fusion; PDE
3565	Hamiltonian Neural PDE Solvers through Functional Approximation Authors: Anthony Zhou; Amir Barati Farimani Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Neural PDE Solvers; Functionals; Neural Operators; Hamiltonian Neural Networks
3566	HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data Authors: Siddharth Viswanath; Hiren Madhu; Dhananjay Bhaskar; Jake Kovalic; David R Johnson; Christopher Tape; Ian Adelstein; Rex Ying; Michael Perlmutter; Smita Krishnaswamy Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric Deep Learning; Point Clouds; Multi-View Learning; High-Dimensional Data Analysis; Single-Cell Data
3567	Hierarchical Implicit Neural Emulators Authors: Ruoxi Jiang; Xiao Zhang; Karan Jakhar; Peter Y. Lu; Pedram Hassanzadeh; Michael Maire; Rebecca Willett Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Neural emulators; Long-term stability
3568	HollowFlow: Efficient Sample Likelihood Evaluation using Hollow Message Passing Authors: Johann Flemming Gloy; Simon Olsson Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Generative Models; Flow-based models; Graph Neural Networks; Boltzmann Generators
3569	Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary Authors: Chuyu Zhou; Tianyu Li; Chenxi Lan; Rongyu Du; Guoguo Xin; Wei Li; Guoqing Wang; Xun Liu; Hangzhou Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-informed neural networks; Navier-Stokes equations; complex boundary conditions
3570	Hybrid Latent Representations for PDE Emulation Authors: Ali Can Bekar; Siddhant Agarwal; Christian Hüttig; Nicola Tosi; David S. Greenberg Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: PDE Integration; Physics Informed Learning; Neural PDE Solvers
3571	HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation Authors: Haoran Luo; Haihong E; Guanting Chen; Yandan Zheng; Xiaobao Wu; Yikai Guo; Qika Lin; Yu Feng; Zemin Kuang; Meina Song; Yifan Zhu; Anh Tuan Luu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Retrieval-Augumented Generation; Hypergraph; N-ary Relation Extraction; Knowledge Representation
3572	IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation Authors: Hanting Yan; Pan Mu; Shiqi Zhang; Yuchao Zhu; jinglin zhang; Cong Bai Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Tropical Cyclone Estimation; Multi-Task Learning; Physics Modeling; Distribution Shift
3573	INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers Authors: Hao Wei; Aleksandra Franz; Björn Malte List; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: machine learning for science; hybrid PDE solvers; autoregressive error analysis; differentiable physics
3574	IPSI: Enhancing Structural Inference with Automatically Learned Structural Priors Authors: Zhongben Gong; Xiaoqun Wu; Mingyang Zhou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Structural Inference; AI for Science; Graph Neural Networks
3575	Improving Energy Natural Gradient Descent through Woodbury, Momentum, and Randomization Authors: Andres Guzman-Cordero; Felix Dangel; Gil Goldshlager; Marius Zeinhofer Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-Informed Neural Networks; Natural Gradient Descent; Woodbury Matrix Identity; Momentum; Nyström Approximation
3576	Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference Authors: Harry Amad; Zhaozhi Qian; Dennis Frauen; Julianna Piskorz; Stefan Feuerriegel; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: synthetic data; treatment effect estimation; medical data; generative models; evalution metrics
3577	Inductive Domain Transfer In Misspecified Simulation-Based Inference Authors: Ortal Senouf; Antoine Wehenkel; Cédric Vincent-Cuaz; Emmanuel Abbe; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI4Science; SBI; Domain transfer; sim2real
3578	Inferring stochastic dynamics with growth from cross-sectional data Authors: Stephen Y. Zhang; Suryanarayana Maddu; Xiaojie Qiu; Victor Chardès Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: systems biology; single cell; stochastic dynamics; population dynamics
3579	Information-Driven Design of Imaging Systems Authors: Henry Pinkard; Leyla A Kabuli; Eric Markley; Tiffany Chien; Jiantao Jiao; Laura Waller Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mutual information estimation; Computational imaging; Information theory; entropy estimation; Encoder and sensor design; Imaging system evaluation; computation…
3580	Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation Authors: Wenjie Du; Xuqiang Li; Jinke Feng; Shuai Zhang; Wen Zhang; Yang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Drug-Drug interaction; Drug Recommendation; Drug Substructures
3581	JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics Authors: Yuanchuan Guo; Jun S. Liu; Huimin Cheng; Ying Ma Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Spatial transcriptomics; Multi-slice integration; Joint alignment; Deep embedding; Attention mechanisms
3582	JAMUN: Bridging Smoothed Molecular Dynamics and Score-Based Learning for Conformational Ensemble Generation Authors: Ameya Daigavane; Bodhi P. Vani; Darcy Davidson; Saeed Saremi; Joshua A Rackers; Joseph Kleinhenz Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Conformational Ensembles; Molecules; Protein Dynamics; Drug Discovery; Statistical Mechanics; Generative Models
3583	JanusDNA: A Powerful Bi-directional Hybrid DNA Foundation Model Authors: Qihao Duan; Bingding Huang; Zhenqiao Song; Irina Lehmann; Lei Gu; Roland Eils; Benjamin Wild Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: genomics; foundation model; hybrid architecture; learning efficiency
3584	Joint Design of Protein Surface and Backbone Using a Diffusion Bridge Model Authors: Guanlue Li; Xufeng Zhao; Fang Wu; Sören Laue Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Diffusion Bridge model; Molecular Surfaces; Protein Design
3585	Joint Velocity-Growth Flow Matching for Single-Cell Dynamics Modeling Authors: Dongyi Wang; Yuanwei Jiang; Zhenyi Zhang; Xiang Gu; Peijie Zhou; Jian Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: flow matching; single-cell; optimal transport; dynamics modeling
3586	KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference Authors: Rui Peng; Yuchen Lu; Qichen Sun; Yuxing Lu; Chi Zhang; Ziru Liu; Jinzhuo Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: gene regulatory network
3587	LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation Authors: Subhojyoti Khastagir; KISHALAY DAS; Pawan Goyal; Seung-Cheol Lee; Satadeep Bhattacharjee; Niloy Ganguly Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: ML4Materials; Diffusion Models; Crystal Materials; Material Generation; AI4Science
3588	Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning Authors: Haoran Li; CHENHAN XIAO; Muhao Guo; Yang Weng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: dynamic learning; sample efficiency; symmetry preservation; Lie transformations; geometric deep learning
3589	Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Authors: Zishen Zhang; Xiangzhe Kong; Wenbing Huang; Yang Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Drug Discovery; Geometric Latent Diffusion; Retrieval Augmented Generation; Antibody Design; Peptide Design
3590	Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Authors: Xixian Liu; Rui Jiao; Zhiyuan Liu; Yurou Liu; Yang Liu; Ziheng Lu; Wenbing Huang; Yang Zhang; Yixin Cao Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D molecular pre-training; molecular force field; coordinate denoising; equivariant neural networks
3591	Learning Chern Numbers of Multiband Topological Insulators with Gauge Equivariant Neural Networks Authors: Longde Huang; Oleksandr Balabanov; Hampus Linander; Mats Granath; Daniel Persson; Jan E Gerken Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric Deep Learning; Gauge Equivariant Networks; Condensed-Matter Physics
3592	Learning Crossmodal Interaction Patterns via Attributed Bipartite Graphs for Single-Cell Omics Authors: Xiaotang Wang; Xuanwei Lin; Yun Zhu; Hao Li; Yongqi Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Single-cell omics; Crossmodal matching; Graph Transformer; Crossmodal Interaction Learning
3593	Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks Authors: Francesco Cozzi; Marco Pangallo; Alan Perotti; André Panisson; Corrado Monti Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Agent-Based Models; Surrogate models; Diffusion Models; Graph Neural Networks; Probabilistic Machine Learning
3594	Learning Multi-Source and Robust Representations for Continual Learning Authors: Fei Ye; Yongcheng Zhong; Qihe Liu; Adrian G. Bors; Jingling sun; Rongyao Hu; shijie zhou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Continual Learning; Pre-trained Models; Dynamic Expansion Models
3595	Learning Repetition-Invariant Representations for Polymer Informatics Authors: Yihan Zhu; Gang Liu; Eric Inae; Tengfei Luo; Meng Jiang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Graph Learning; Polymer Informatics; Generalization; Data Augmentation
3596	Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs Authors: Zherui Yang; Zhehao Li; Kangbo Lyu; Yixuan Li; Tao Du; Ligang Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Graph Neural Networks; Preconditioning; GPU Computing; Iterative Solvers; Scientific Computing
3597	Learning Stochastic Multiscale Models Authors: Andrew Francesco Ilersich; Prasanth B. Nair Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Multiscale Models; Stochastic Differential Equations; Spatio-Temporal Data; Variational Inference; Partial Differential Equations
3598	Learning Urban Climate Dynamics via Physics-Guided Urban Surface–Atmosphere Interactions Authors: Jiyang Xia; Fenghua Ling; Zhenhui Jessie Li; Junjie Yu; Hongliang Zhang; David Topping; LEI BAI; Zhonghua Zheng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: urban climate; climate emulation; emulator; hybrid model; physics-AI
3599	Learning conformational ensembles of proteins based on backbone geometry Authors: Nicolas Wolf; Leif Seute; Vsevolod Viliuga; Simon Wagner; Jan Stühmer; Frauke Gräter Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Proteins; Boltzmann; Flow Matching; Protein structure; Protein conformation; Molecular Dynamics; Generative models
3600	Learning non-equilibrium diffusions with Schrödinger bridges: from exactly solvable to simulation-free Authors: Stephen Y. Zhang; Michael Stumpf Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Schrodinger bridge; nonequilibrium dynamics; flow matching
3601	Learning to Zoom with Anatomical Relations for Medical Structure Detection Authors: Bin Pu; Liwen Wang; Xingbo Dong; Xingguo Lv; Zhe Jin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Zoom Pattern; Anatomical Relation; Medical Structure Detection
3602	Let a Neural Network be Your Invariant Authors: Mirco Giacobbe; Daniel Kroening; Abhinandan Pal; Michael Tautschnig Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Neural Model Checking; Inductive Invariants; Safety Verification
3603	LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation Authors: Md Mostafijur Rahman; Radu Marculescu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: LoMix Supervision; Medical Image Segmentation; U-shaped Network; Combinatorial Multi-scale Fusion; Logits Mixing
3604	LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting Authors: Yi Xiao; Hang Fan; Kun Chen; Ye Cao; Ben Fei; Wei Xue; LEI BAI Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI for science; data assimilation; weather forecasting; low rank adaptation
3605	Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling Authors: Haowei Hua; Wanyu Lin Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: local frame; crystal symmetry; SO(3) invariance
3606	Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant Authors: Jonas Spinner; Luigi Favaro; Peter Lippmann; Sebastian Pitz; Gerrit Gerhartz; Tilman Plehn; Fred A. Hamprecht Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Geometric deep learning; equivariance; Lorentz symmetry; Transformer; high-energy physics; particle physics
3607	Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation Authors: François Rozet; Ruben Ohana; Michael McCabe; Gilles Louppe; Francois Lanusse; Shirley Ho Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: latent; diffusion models; autoencoders; physics; emulation; compression; fluid dynamics; PDE
3608	MIRA: Medical Time Series Foundation Model for Real-World Health Data Authors: Hao Li; Bowen Deng; Chang Xu; ZhiYuan Feng; Viktor Schlegel; Yu-Hao Huang; Yizheng Sun; Jingyuan Sun; Kailai Yang; Yiyao Yu; Jiang Bian Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Time Series; Foundation Model; Healthcare
3609	MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks Authors: Rui Jiao; Hanlin Wu; Wenbing Huang; Yuxuan Song; Yawen Ouyang; Yu Rong; Tingyang Xu; Pengju Wang; Hao Zhou; Wei-Ying Ma; Jingjing Liu; Yang Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Metal-Organic Frameworks; Bayesian Flow Networks; Material Design
3610	MS-BART: Unified Modeling of Mass Spectra and Molecules for Structure Elucidation Authors: Yang Han; Pengyu Wang; Kai Yu; xin chen; Lu Chen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI4Science; Language Model; Metabolomics; MS/MS spectra
3611	MaNGO — Adaptable Graph Network Simulators via Meta-Learning Authors: Philipp Dahlinger; Tai Hoang; Denis Blessing; Niklas Freymuth; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Graph Network Simulators; Meta Learning; Graph Neural Operators; Conditional Neural Processes
3612	Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction Authors: Wenbo Shang; Zihan Feng; Yajun Yang; Xin Huang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: data mining; social networks; information diffusion; large language model
3613	Manipulating 3D Molecules in a Fixed-Dimensional E(3)-Equivariant Latent Space Authors: Zitao Chen; Yinjun Jia; Zitong Tian; Wei-Ying Ma; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Drug Design; VAE; Deep Learninng; Molecule Generation
3614	Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting Authors: Zinan Zheng; Yang Liu; Jia Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Weather forecasting; Graph neural network; Earth sciences
3615	Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training Authors: Hong Wang; Haiyang Xin; Jie Wang; Xuanze Yang; Fei Zha; huanshuo dong; Yan Jiang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI4PDE; Neural Operator; Pre-Training
3616	MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes Authors: Feiyang Pan; Shenghe Zheng; Chunyan Yin; Guangbin Dou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: MEMS Gyroscopes; Signal reconstruction; Noise suppression
3617	Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge Authors: Zhenyi Zhang; Zihan Wang; Yuhao Sun; Tiejun Li; Peijie Zhou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: optimal transport; Schrödinger bridge; trajectory inference; single-cell
3618	Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow Authors: Kristiyan Sakalyan; Alessandro Palma; Filippo Guerranti; Fabian J Theis; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: flow matching; spatial transcriptomics; microenvironments; trajectory inference; generative modeling; point cloud
3619	Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model Authors: Dongki Kim; Wonbin Lee; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Large Molecular Language Model; General-purpose Assistant for Molecular Analysis; Molecular Comprehension
3620	Multimodal 3D Genome Pre-training Authors: Minghao Yang; Pengteng Li; Yan Liang; Qianyi Cai; Zhihang Zheng; Shichen Zhang; Pengfei ZHANG; Zhi-An Huang; Hui Xiong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D Genomics; Multimodal Foundation Model; Hi-C data; Chromatin Accessibility
3621	Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data Authors: Rishwanth Raghu; Axel Levy; Gordon Wetzstein; Ellen D Zhong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Computational Biology and Bioinformatics; Generative Models
3622	NFL-BA: Near-Field Light Bundle Adjustment for SLAM in Dynamic Lighting Authors: Andrea Dunn Beltran; Daniel Rho; Marc Niethammer; Roni Sengupta Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: SLAM; Endoscopy; Near-Field lighting
3623	Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data Authors: Felix Koehler; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: PDEs; Neural Operators; Neural Emulators; Physics; Surrogate; Optimization
3624	Neural Green’s Functions Authors: Seungwoo Yoo; Kyeongmin Yeo; Jisung Hwang; Minhyuk Sung Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Neural Operators
3625	NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models Authors: Zhuoran Qiao; Feizhi Ding; Thomas Dresselhaus; Mia A. Rosenfeld; Xiaotian Han; Owen Lewis Howell; Aniketh Iyengar; Stephen Opalenski; Anders S Christensen; Sai Krishna Sirumalla;… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Co-folding; flow matching; biomolecules; computational drug discovery
3626	Neuro-Spectral Architectures for Causal Physics-Informed Networks Authors: Arthur Bizzi; Leonardo M. Moreira; Márcio Marques; Leonardo Mendonça; Christian Júnior de Oliveira; Vitor Balestro; Lucas dos Santos Fernandez; Daniel Yukimura; Pavel Petrov; João… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-informed neural networks; spectral methods; causality
3627	NeuroH-TGL: Neuro-Heterogeneity Guided Temporal Graph Learning Strategy for Brain Disease Diagnosis Authors: Shengrong Li; Qi Zhu; Chunwei Tian; Xinyang Zhang; WEI SHAO; Jie Wen; Daoqiang Zhang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: dynamic brain networks; evolutionary mechanisms; spatio-temporal heterogeneity; graph convolution network; brain disease diagnosis
3628	Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation Authors: Chaohao Yuan; Maoji Wen; Ercan Engin KURUOGLU; Yang Liu; Jia Li; Tingyang Xu; Deli Zhao; Hong Cheng; Yu Rong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Equivariance; Non-stationarity
3629	Omni-DNA: A Genomic Model Supporting Sequence Understanding, Long-context, and Textual Annotation Authors: Zehui Li; Vallijah Subasri; Yifei Shen; Dongsheng Li; Wentao Gu; Guy-Bart Stan; Yiren Zhao; Caihua Shan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: DNA; Genomics; Health; Representation Learning
3630	OmniCast: A Masked Latent Diffusion Model for Weather Forecasting Across Time Scales Authors: Tung Nguyen; Tuan Pham; Troy Arcomano; Rao Kotamarthi; Ian Foster; Sandeep Madireddy; Aditya Grover Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: weather forecasting; S2S prediction; latent diffusion models; masked autoregressive models
3631	On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting Authors: Yisong Fu; Fei Wang; Zezhi Shao; Boyu Diao; Lin Wu; Zhulin An; Chengqing Yu; Yujie Li; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Atmospheric Time Series Forecasting; Spatial-Temporal Position Embedding; Spatial-Temporal Correlations
3632	Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization Authors: Amin Heyrani Nobari; Lyle Regenwetter; Cyril Picard; Ligong Han; Faez Ahmed Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Topology Optimization; Diffusion Models; Deep Generative Models
3633	PALQO: Physics-informed model for Accelerating Large-scale Quantum Optimization Authors: Yiming Huang; Yajie Hao; Yuxuan Du; Jing Zhou; Xiao Yuan; Xiaoting Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: quantum optimization; physics-informed machine learning; machine learning
3634	PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Authors: Minju Jo; Woojin Cho; Uvini Balasuriya Mudiyanselage; Seungjun Lee; Noseong Park; Kookjin Lee Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: SciML; meta-learning; data compression
3635	PINN Balls: Scaling Second-Order Methods for PINNs with Domain Decomposition and Adaptive Sampling Authors: Andrea Bonfanti; Ismael Medina; Roman List; Björn Staeves; Roberto Santana; Marco Ellero Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-Informed Neural Networks; Second-order optimization; Domain Decomposition; Adversarial Adaptive Sampling
3636	PINNs with Learnable Quadrature Authors: Sourav Pal; Kamyar Azizzadenesheli; Vikas Singh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: PINNs
3637	PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting Authors: Haobo Li; Eunseo Jung; Zixin CHEN; Zhaowei Wang; Yueya WANG; Huamin Qu; Alexis Kai Hon Lau Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI4Science; Time series; Postion encoding; Climate
3638	PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation Authors: Jiabei Cheng; Changxi Chi; Jingbo Zhou; Hongyi Xin; Jun Xia Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Single-cell biology; bioinformatics; gene expression; transcriptomics; uncertainty estimation
3639	PRSformer: Disease Prediction from Million-Scale Individual Genotypes Authors: Payam Dibaeinia; Chris German; Suyash Shringarpure; Adam Auton; Aly A Khan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Multitask Learning; Transformer Architectures; Neighborhood Attention; Deep learning for Healthcare
3640	Pancakes: Consistent Multi-Protocol Image Segmentation Across Biomedical Domains Authors: Marianne Rakic; Siyu Gai; Etienne Chollet; John Guttag; Adrian V Dalca Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Segmentation; Medical imaging; Foundation model
3641	Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies Authors: Yibo Wen; Chenwei Xu; Jerry Yao-Chieh Hu; Kaize Ding; Han Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Antibody Design; Diffusion Models; Model Alignment
3642	Partial Physics Informed Diffusion Model for Ocean Chlorophyll Concentration Reconstruction Authors: Qianxun Xu; Zuchuan Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Diffusion Models; Physics-Informed Machine Learning; Ocean Data Reconstruction
3643	Path Gradients after Flow Matching Authors: Lorenz Vaitl; Leon Klein Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Path Gradients; Boltzmann Generators; Continuous Normalizing Flows; Equivariance; Optimal Transport; Flow Matching; Variational Inference; Molecular Dynamics
3644	PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization Authors: Honglin Li; Zhongyi Shui; Yunlong Zhang; Chenglu Zhu; Lin Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Computational Pathology; Foundation Model; Whole Slide Image; Vector Quantization
3645	Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints Authors: Utkarsh Utkarsh; Pengfei Cai; Alan Edelman; Rafael Gomez-Bombarelli; Christopher Vincent Rackauckas Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: generative models; flow matching; scientific machine learning; hard constraints; conservation laws
3646	Physics-informed Reduced Order Modeling of Time-dependent PDEs via Differentiable Solvers Authors: Nima Hosseini Dashtbayaz; Hesam Salehipour; Adrian Butscher; Nigel J. W. Morris Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Reduced Order Modeling; Physics-informed Machine Learning; Differentiable Physics
3647	Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows Authors: Leslie K Hwang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Physics-informed neural networks; domain decomposition; global dynamics; three-dimensional fluid dynamics
3648	PhysioWave: A Multi-Scale Wavelet-Transformer for Physiological Signal Representation Authors: Yanlong Chen; Mattia Orlandi; Pierangelo Maria Rapa; Simone Benatti; Luca Benini; Yawei Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: foundation model; biosignal; multi-modal analysis; deep learning
3649	PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations Authors: Vivek Gopalakrishnan; Neel Dey; Polina Golland Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: deformable image registration; 2D/3D registration; differentiable rendering; surgical computer vision
3650	Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme Authors: Rudy Morel; Francesco Pio Ramunno; Jeff Shen; Alberto Bietti; Kyunghyun Cho; Miles Cranmer; Siavash Golkar; OLEXANDR GUGNIN; Geraud Krawezik; Tanya Marwah; Michael McCabe; Lucas T… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Probabilistic forecasting; diffusion models; dynamical systems; partial observability; solar prediction
3651	Prior-Guided Flow Matching for Target-Aware Molecule Design with Learnable Atom Number Authors: Jingyuan Zhou; Hao Qian; Shikui Tu; Lei Xu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Structure-based drug design; Molecule Generation; Generative models; Flow Matching; Computational Biology
3652	ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods Authors: Michal Kmicikiewicz; Vincent Fortuin; Ewa Szczurek Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein design; active learning; robust exploration; fitness optimization
3653	Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment Authors: Xiao Fei; Michail Chatzianastasis; Sarah Almeida Carneiro; Hadi Abdine; Lawrence Paul Petalidis; Michalis Vazirgiannis Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein function prediction; multimodal large language model; contrastive learning
3654	RAD: Towards Trustworthy Retrieval-Augmented Multi-modal Clinical Diagnosis Authors: Haolin Li; Tianjie Dai; Zhe Chen; Siyuan Du; Jiangchao Yao; Ya Zhang; Yanfeng Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Multimodal Fusion; Medical Imaging; Interpretability; Disease Diagnosis
3655	RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains Authors: Sepehr Mousavi; Shizheng Wen; Levi Lingsch; Maximilian Herde; Bogdan Raonic; Siddhartha Mishra Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: scientific machine learning; operator learning; partial differential equation; neural operator; graph neural network; AI for science; computational science
3656	RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability Authors: Jonggwon Park; Byungmu Yoon; Soobum Kim; Kyoyun Choi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: medical imaging; multimodal learning; zero-shot learning; vision-language alignment; explainable ai
3657	RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts Authors: Xuming He; Zhiyuan You; Junchao Gong; Couhua Liu; Xiaoyu Yue; Peiqin Zhuang; Wenlong Zhang; LEI BAI Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Quality Assessment; Multimodal model; AI4Science
3658	Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow Authors: Hanlin Wu; Yuxuan Song; Zhe Zhang; Zhilong Zhang; Hao Zhou; Wei-Ying Ma; Jingjing Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Bayesian Flow Networks; Protein Generation
3659	Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets Authors: Runhan Shi; Letian Chen; Gufeng Yu; Yang Yang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: yield prediction; molecular representation learning; chemical reaction prediction
3660	Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery Authors: Shayan Shekarforoush; David B. Lindell; Marcus A Brubaker; David J. Fleet Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Cryo-EM 3D Reconstruction; Gaussian Mixture Models; Part Discovery
3661	Reliably detecting model failures in deployment without labels Authors: Viet Nguyen; Changjian Shui; Vijay Giri; Siddharth Arya; Amol Verma; Fahad Razak; Rahul Krishnan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: ML for Healthcare; Guardrails for AI; AI Safety; Deterioration Monitoring; Trustworthy ML
3662	Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design Authors: Nianzu Yang; Songlin Jiang; Jian Ma; Huaijin Wu; Shuangjia Zheng; Wengong Jin; Junchi Yan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: antibody design; alphafold3
3663	Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs Authors: Mianchu Wang; Giovanni Montana Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Retrosynthesis planning; reinforcement learning; self-imitation learning
3664	Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology Authors: Wenhao Tang; Rong Qin; Heng Fang; Fengtao Zhou; Hao Chen; Xiang Li; Ming-Ming Cheng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Computational Pathology; Multiple Instance Learning; End-to-End Learning
3665	RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching Authors: Runze Ma; Zhongyue Zhang; Zichen Wang; Will Hua; Jiahua Rao; Zhuomin Zhou; Shuangjia Zheng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Flow Matching; Generative Model; Biomolecule
3666	RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting Authors: Mohamad Hakam Shams Eddin; Yikui Zhang; Stefan Kollet; Juergen Gall Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mamba; Earth science; climate science; hydrology; flood forecasting; river discharge
3667	RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains Authors: Tianle Pu; Zijie Geng; Haoyang Liu; Shixuan Liu; Jie Wang; Li Zeng; Chao Chen; Changjun Fan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Learning to Optimize; Machine Learning for Combinatorial Optimization; Mixed-Integer Linear Programming
3668	S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation Authors: Junlang Huang; Chen Hao; Li Luo; Yong Cai; Lexin Zhang; Tianhao Ma; Yitian Zhang; Zhong Guan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: nonlinear systems; VLSI backend design; transformer; transfer function
3669	SAM2Flow: Interactive Optical Flow Estimation with Dual Memory for in vivo Microcirculation Analysis Authors: Luojie Huang; Ryan Zhang; Marisa M Morakis; Michaela Taylor-Williams; Gregory N. McKay; Nicholas J. Durr Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Optical Flow Estimation; Microscopic Blood Cell Analysis; Segment Anything Model
3670	SIFusion: A Unified Fusion Framework for Multi-granularity Arctic Sea Ice Forecasting Authors: Jingyi Xu; Shengnan Wang; Weidong Yang; Keyi Liu; Yeqi Luo; Ben Fei; LEI BAI Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Arctic Sea Ice Forecasting; Multi-granularity Fusion
3671	STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem Authors: Hong Wang; Jiang Yixuan; Jie Wang; Xinyi Li; Jian Luo; huanshuo dong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI for Science; Operator Eigenvalue Problem; Scientific Computing
3672	Sampling 3D Molecular Conformers with Diffusion Transformers Authors: Thorben Frank; Winfried Ripken; Gregor Lied; Klaus Robert Muller; Oliver T. Unke; Stefan Chmiela Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D Molecular Graphs; Molecular Modeling; Generative Modeling; Diffusion Transformers; Geometric Deep Learning; Flow Matching
3673	Scalable and Cost-Efficient de Novo Template-Based Molecular Generation Authors: Piotr Gaiński; Oussama Boussif; Andrei Rekesh; Dmytro Shevchuk; Ali Parviz; Mike Tyers; Robert A. Batey; Michał Koziarski Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: drug discovery; generative models; GFlowNets; synthesizability; molecular generation
3674	Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction Authors: Tengfei Ma; Kun Chen; Yongsheng Zang; Yujie Chen; Xuanbai Ren; Bosheng Song; hongxin xiang; Yiping Liu; xiangxiang Zeng Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Drug Interaction Prediction; Drug Discovery; Molecule Representation Learning
3675	Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation Authors: Divyanshu Mishra; Mohammadreza Salehi; Pramit Saha; Olga Patey; Aris T Papageorghiou; Yuki M Asano; Alison Noble Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Medical Imaging; Ultrasound; Self-Supervised Video Represenational Learning; Self Supervised Learning; Echocardiography; Fetal; Video Understanding
3676	Sequential Attention-based Sampling for Histopathological Analysis Authors: Tarun G; Naman Malpani; Gugan Thoppe; Devarajan Sridharan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Deep Learning; Deep Reinforcement Learning; Multiple Instance Learning; Histopathological Analysis; Whole Slide Images
3677	ShapeEmbed: a self-supervised learning framework for 2D contour quantification Authors: Anna Foix Romero; Craig Russell; Alexander Krull; Virginie Uhlmann Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: shape quantification; shape descriptors; VAE; generative model; representation learning; microscopy
3678	ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation Authors: Yuxuan Song; Zhe Zhang; Yu Pei; Jingjing Gong; Qiying Yu; Zheng Zhang; Mingxuan Wang; Hao Zhou; Jingjing Liu; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Discrete Generative Model; Biological Sequence Design
3679	Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression Authors: Yuning Shen; Lihao Wang; Huizhuo Yuan; Yan Wang; Bangji Yang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein Conformation; Generative Modeling; Molecular Dynamics; Diffusion Models; Language Models
3680	Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Authors: Neeraj Kumar; Chad Vanderbilt Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Pathology Foundation Models; Whole Slide Images; Mutation Detection; Vision Transformer; Multiple Instance Learning
3681	Space Group Equivariant Crystal Diffusion Authors: Rees Chang; Angela Pak; Alex Guerra; Ni Zhan; Nick Richardson; Elif Ertekin; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: crystals; generative; diffusion; space group; equivariant; wyckoff; asymmetric unit; transformer; score matching
3682	Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems Authors: Jingwen Cheng; Ruikun Li; Huandong Wang; Yong Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Complex system; Diffusion
3683	SpiderSolver: A Geometry-Aware Transformer for Solving PDEs on Complex Geometries Authors: Kai Qi; Fan Wang; Zhewen Dong; Jian Sun Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Machine learning in PDE; Transformer architecture; PDE on complex geometry; Tokenization
3684	Stable Port-Hamiltonian Neural Networks Authors: Fabian J. Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: dynamic system identification; port-Hamiltonian systems; Lyapunov stability
3685	Steering Generative Models with Experimental Data for Protein Fitness Optimization Authors: Jason Yang; Wenda Chu; Daniel Khalil; Raul Astudillo; Bruce James Wittmann; Frances H. Arnold; Yisong Yue Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein; generative model; diffusion model; discrete diffusion model; guidance; language model; active learning; Bayesian optimization
3686	Straight-Line Diffusion Model for Efficient 3D Molecular Generation Authors: Yuyan Ni; Shikun Feng; Haohan Chi; Bowen Zheng; Huan-ang Gao; Wei-Ying Ma; Zhi-Ming Ma; Yanyan Lan Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Molecule generation; Diffusion model
3687	StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization Authors: Yu Wang; Yang Li; Junchi Yan; Yi Chang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Generative Modeling
3688	Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models Authors: Jie Zhao; Kang Hao Cheong Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Evolutionary Optimization; Multimodal Large Language Models; Complex Networks; Combinatorial Optimization
3689	SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning Authors: Hong Wang; Jie Wang; Minghao Ma; Haoran Shao; Haoyang Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Matrix Preconditioning; Symbolic Discovery; Linear System Solver
3690	Symmetry-Preserving Conformer Ensemble Networks for Molecular Representation Learning Authors: Yanqiao Zhu; Yidan Shi; Yuanzhou Chen; Fang Sun; Yizhou Sun; Wei Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Molecular Conformers; Geometric Deep Learning; Mixture-of-Experts
3691	TEMPO: Temporal Multi-scale Autoregressive Generation of Protein Conformational Ensembles Authors: Yaoyao Xu; Di Wang; Zihan Zhou; Tianshu Yu; Mingchen Chen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Protein; protein dynamic; AI4Science
3692	Tabula: A Tabular Self-Supervised Foundation Model for Single-Cell Transcriptomics Authors: Jiayuan Ding; Jianhui Lin; Shiyu Jiang; Yixin Wang; Ziyang Miao; Zhaoyu Fang; Jiliang Tang; Min Li; Xiaojie Qiu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Foundation Model; Single-cell; tabular learning; federated learning
3693	Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization Authors: Noémie Bergues; Arthur Carré; Paul Join-Lambert; Brice Hoffmann; Arnaud Blondel; Hamza Tajmouati Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: flow-matching; geometric deep-learning; graph neural networks; differentiable optimization; template-guided docking; computational chemistry; drug-design; 3D p…
3694	Tensor Decomposition Networks for Fast Machine Learning Interatomic Potential Computations Authors: Yuchao Lin; Cong Fu; Zachary Krueger; Haiyang Yu; Maho Nakata; Jianwen Xie; Emine Kucukbenli; Xiaofeng Qian; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Equivariant Neural Network; Tensor Product; Tensor Decomposition
3695	TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search Authors: Akash Kundu; Stefano Mangini Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: quantum architecture search; tensor network; reinforcement learning
3696	Time-Embedded Algorithm Unrolling for Computational MRI Authors: Junno Yun; Yasar Utku Alcalar; Mehmet Akcakaya Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Algorithm unrolling; Time-embedding; Computational Imaging; Fast MRI; Approximate Message Passing
3697	TokMan:Tokenize Manhattan Mask Optimization for Inverse Lithography Authors: Yiwen Wu; Yuyang Chen; Ye Xia; Yao Zhao; Jingya Wang; Xuming He; Hao GENG; Jingyi Yu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Structured Tokenization; Manhattan represenetation; Inverse Rendering
3698	Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients Authors: Yuxing Lu; Gecheng Fu; Wei Wu; Xukai Zhao; Goi Sin Yee; Jinzhuo Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Large Language Model; Clinical Decision Support System
3699	Towards Generalizable Retina Vessel Segmentation with Deformable Graph Priors Authors: Ke Liu; Shangde Gao; Yichao Fu; Shangqi Gao Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: probabilistic modeling
3700	Towards Multiscale Graph-based Protein Learning with Geometric Secondary Structural Motifs Authors: Shih-Hsin Wang; Yuhao Huang; Taos Transue; Justin M. Baker; Jonathan Forstater; Thomas Strohmer; Bao Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Multiscale GNNs; Primary and secondary structures; Proteins; AI for Science
3701	Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Authors: Yanchen Luo; Zhiyuan Liu; Yi Zhao; Sihang Li; Hengxing Cai; Kenji Kawaguchi; Tat-Seng Chua; Yang Zhang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: 3D molecule generation; 3D variational auto-encoder; latent diffusion model
3702	Training a Scientific Reasoning Model for Chemistry Authors: Siddharth Narayanan; James D. Braza; Ryan-Rhys Griffiths; Albert Bou; Geemi Wellawatte; Mayk Caldas Ramos; Ludovico Mitchener; Michael Martin Pieler; Samuel G Rodriques; Andrew Wh… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; AI4Science
3703	Tree-Based Premise Selection for Lean4 Authors: Zichen Wang; Anjie Dong; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Premise Selection; Formal Theorem Proving; Lean Proof Assistant; Expression Trees; Structural Similarity; Weisfeiler-Lehman Kernel; Tree Edit Distance.
3704	TwinMarket: A Scalable Behavioral and Social Simulation for Financial Markets Authors: Yuzhe YANG; Yifei Zhang; Minghao Wu; Kaidi Zhang; Yunmiao Zhang; Honghai Yu; Yan Hu; Benyou Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: LLM Agent; Multi-Agent System; Human-Behavior; Computational Social Science; Computational Finance; Market Impact; Financial Market Simulation
3705	UEPI: Universal Energy-Behavior-Preserving Integrators for Energy Conservative/Dissipative Differential Equations Authors: Elena Celledoni; Brynjulf Owren; Chong Shen; Baige Xu; Takaharu Yaguchi Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: energy-preserving integrator; energy-dissipating integrator; Hamiltonian system; numerical integrator; discrete gradient method
3706	UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss Authors: Zhichao Wang; Xinhai Chen; Qinglin Wang; Xiang Gao; Qingyang Zhang; Menghan Jia; Xiang Zhang; Jie Liu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mesh Adaptation​; Unsupervised Learning​; Partial Differential Equations; Computational Fluid Dynamic; Zero-shot Generalization
3707	UnCLe: Towards Scalable Dynamic Causal Discovery in Non-linear Temporal Systems Authors: Tingzhu Bi; Yicheng Pan; Xinrui Jiang; Huize Sun; Meng Ma; Ping Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: causal discovery; dynamic causality; time series; representation learning
3708	Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands Authors: Vasiliki Tassopoulou; Charis Stamouli; Haochang Shou; George J. Pappas; Christos Davatzikos Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Biomarker Trajectories; Conformal Prediction; Uncertainty Quantification
3709	Understanding and Enhancing Mask-Based Pretraining towards Universal Representations Authors: Mingze Dong; Leda Wang; Yuval Kluger Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Mask-based pretraining; self-supervised learning; high-dimensional statistics; computational biology
3710	Understanding protein function with a multimodal retrieval-augmented foundation model Authors: Timothy Fei Truong Jr; Tristan Bepler Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein fitness prediction; transformer; retrieval; language model; MSA; generative model; protein engineering
3711	UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge Authors: Chenao Li; Shuo Yan; Enyan Dai Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: enzyme; protein; cleavage site prediction; enzyme active site; protein representation learning
3712	Unified all-atom molecule generation with neural fields Authors: Matthieu Kirchmeyer; Pedro O. Pinheiro; Emma Willett; Karolis Martinkus; Joseph Kleinhenz; Emily K. Makowski; Andrew Martin Watkins; Vladimir Gligorijevic; Richard Bonneau; Saeed… Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: score-based generative model; neural fields; 3D molecule
3713	Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains Authors: Qiankun Li; Feng He; Huabao Chen; Xin Ning; Kun Wang; Zengfu Wang Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: AI4Science; Cluster attention adapter; Adaptive domain transfer
3714	Unsupervised Trajectory Optimization for 3D Registration in Serial Section Electron Microscopy using Neural ODEs Authors: Zhenbang Zhang; Jingtong Feng; Hongjia Li; Haythem El-Messiry; zhiqiang xu; Renmin Han Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: computer vision; biomedical image processing; ai for science
3715	VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation Authors: Sicheng Yang; Zhaohu Xing; Lei Zhu Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Vector Quantization; Semi-Supervised Learning; Medical Image Segmentation
3716	Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action Authors: Yuhao Sun; Zhenyi Zhang; Zihan Wang; Tiejun Li; Peijie Zhou Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: unbalanced optimal transport; Schrödinger bridge; trajectory inference; single-cell
3717	Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models Authors: Yuanxi Yu; Fan Jiang; Xinzhu Ma; Liang Zhang; Bozitao Zhong; Wanli Ouyang; Guisheng Fan; Huiqun Yu; Liang Hong; Mingchen Li Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Deep learning; Protein language model; Protein stability; Protein engineering
3718	WhAM: Towards A Translative Model of Sperm Whale Vocalization Authors: Orr Paradise; Liangyuan Chen; Pranav Muralikrishnan; Hugo Flores García; Bryan Pardo; Roee Diamant; David Gruber; Shane Gero; Shafi Goldwasser Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Sperm Whale Communication; Bioacoustics; Masked Acoustic Token Modeling; Generative Audio Models; Representation Learning
3719	Zero-shot protein stability prediction by inverse folding models: a free energy interpretation Authors: Jes Frellsen; Maher M. Kassem; Tone Bengtsen; Lars Olsen; Kresten Lindorff-Larsen; Jesper Ferkinghoff-Borg; Wouter Boomsma Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: protein stability; inverse folding models; zero-shot prediction; free energy; interpretability
3720	miniF2F-Lean Revisited: Reviewing Limitations and Charting a Path Forward Authors: Azim Ospanov; Farzan Farnia; Roozbeh Yousefzadeh Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: formal reasoning; automated theorem proving; lean prover; ai for math
3721	scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery Authors: Yiming Gao; Zhen Wang; Jefferson Chen; Mark Antkowiak; Mengzhou Hu; JungHo Kong; Dexter Pratt; Jieyuan Liu; Enze Ma; Zhiting Hu; Eric P. Xing Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Large Language Models; Scientific Reasoning; Automation of Science; Single-cell Transcriptomics; Cell Type Annotation; Trajectory Inference; Gene Regulatory Ne…
3722	scSplit: Bringing Severity Cognizance to Image Decomposition in Fluorescence Microscopy Authors: Ashesh; Florian Jug Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: semantic unmixing; image decomposition; Fluorescence microscopy; Computer vision; inverse problem
3723	‌Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification Authors: Hossein Jafarinia; Danial Hamdi; Amirhossein Alamdar; Elahe Zahiri; Soroush Vafaie Tabar; Alireza Alipanah; Nahal Mirzaie; Saeed Razavi; Amir Najafi; Mohammad Hossein Rohban Affiliation: 官方页面未列出 Official area / track: machine_learning_for_sciences Recognition: Poster/Regular Keywords: Whole Slide Image; Self-Supervised Learning; Multiple Instance Learning; Data Augmentation
3724	$\mu$PC: Scaling Predictive Coding to 100+ Layer Networks Authors: Francesco Innocenti; El Mehdi Achour; Christopher Buckley Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: predictive coding; mup; optimisation theory; hyperparameter transfer; inference learning; local learning
3725	$i$MIND: Insightful Multi-subject Invariant Neural Decoding Authors: Zixiang Yin; Jiarui Li; Zhengming Ding Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Brain Vision; Neural Decoding; Brain Semantic Understanding
3726	A Generalist Intracortical Motor Decoder Authors: Joel Ye; Fabio Rizzoglio; Xuan Ma; Adam Smoulder; Hongwei Mao; Gary H Blumenthal; William Hockeimer; Nicolas Guazzelli Kunigk; Dalton D. Moore; Patrick J. Marino; Raeed H. Chowdhu… Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Brain-Computer Interfaces; Neuroscience; Motor Cortex
3727	A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals Authors: Ziyu Jia; Tingyu Du; Zhengyu Tian; Hongkai Li; Yong Zhang; Chenyu Liu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Emotion Recognition; Mamba Network; Test-Time Adaptation; Multimodal Physiological Signals
3728	A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks Authors: Georgios Mentzelopoulos; Ioannis Asmanis; Konrad Kording; Eva L Dyer; Kostas Daniilidis; Flavia Vitale Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural Decoding; Brain Computer Interfaces; Spiking Neural Networks; Energy Efficient Computation
3729	A data and task-constrained mechanistic model of the mouse outer retina shows robustness to contrast variations Authors: Kyra L. Kadhim; Jonas Beck; Ziwei Huang; Jakob H. Macke; Fred Rieke; Thomas Euler; Michael Deistler; Philipp Berens Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neural coding; retina; recurrent networks; biophysics; differential equations
3730	AI-Generated Video Detection via Perceptual Straightening Authors: Christian Internò; Robert Geirhos; Markus Olhofer; Sunny Liu; Barbara Hammer; David Klindt Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: AI-Generated Video Detection; Perceptual straightening; Representation geometry; Deepfake Detection; Video Forensics; AI Safety
3731	Activity Pruning for Efficient Spiking Neural Networks Authors: Tong Bu; Xinyu Shi; Zhaofei Yu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: spike activity pruning; efficient model; Spiking Neural Network
3732	Adaptive Fission: Post-training Encoding for Low-latency Spike Neural Networks Authors: Yizhou Jiang; Feng Chen; Yihan Li; Yuqian Liu; Haichuan Gao; Tianren Zhang; Ying Fang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: spiking neural network; ann-to-snn conversion
3733	Anatomically inspired digital twins capture hierarchical object representations in visual cortex Authors: Emanuele Luconi; Dario Liscai; Carlo Baldassi; Alessandro Marin Vargas; Alessandro Sanzeni Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; representation learning; population responses; cortical hierarchy; computational biology; visual perception
3734	Are Large Language Models Sensitive to the Motives Behind Communication? Authors: Addison J. Wu; Ryan Liu; Kerem Oktar; Theodore Sumers; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: epistemic vigilance; cognitive science; psychology; large language models
3735	BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity Authors: Lucine L Oganesian; Saba Hashemi; Maryam M. Shanechi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: self supervised learning; masked modeling; tokenization; transformers; neural decoding
3736	Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints Authors: Ling Zhan; Junjie Huang; Xiaoyao Yu; Wenyu Chen; Tao Jia Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: functional brain networks; high-order interactions; graph structure learning; pairwise network modeling
3737	BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics Authors: Zhongju Yuan; Geraint A. Wiggins; Dick B.M. Botteldooren Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: oscillatory state system; spatio-temporal dynamics; bio-inspired model; time series tasks
3738	Bounds on the computational complexity of neurons due to dendritic morphology Authors: Anamika Agrawal; Michael A Buice Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: computational neuroscience; dendritic integration; neuroAI; neuromorphic computing; systems neuroscience
3739	Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens Authors: Zijian Dong; Li Ruilin; Joanna Su Xian Chong; Niousha Dehestani; Yinghui Teng; Yi Lin; Zhizhou Li; Yichi Zhang; Yapei Xie; Leon Qi Rong Ooi; B.T. Thomas Yeo; Juan Helen Zhou Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Multimodal Neuroimaging; Brain Foundation Model; 1D Tokens; Representation Learning; Neuropsychiatric Disorders; Cognition
3740	Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models Authors: Anuja Negi; SUBBA REDDY OOTA; Anwar O Nunez-Elizalde; Manish Gupta; Fatma Deniz Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: fMRI; bilingualism; fine-tuning; language models; brain-tuning; brain encoding; multilingual language models; downstream tasks
3741	Brain-Like Processing Pathways Form in Models With Heterogeneous Experts Authors: Jack Cook; Danyal Akarca; Rui Ponte Costa; Jascha Achterberg Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Processing pathways; Brain-inspired neural networks; Mixture-of-Experts; Modularity; Task complexity; Adaptive processing
3742	Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models Authors: Omer Moussa; Mariya Toneva Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: fMRI; Alignment; Brain Alignment; Cognitive Neuroscience; Encoding Models; Speech Models
3743	BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold Authors: Zhixuan Zhou; Tingting Dan; Guorong Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: brain network analysis; flow matching; neuroimaging analysis
3744	BrainMoE: Cognition Joint Embedding via Mixture-of-Expert Towards Robust Brain Foundation Model Authors: Ziquan Wei; Tingting Dan; Tianlong Chen; Guorong Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Mixture-of-Expert; Brain foundation model; Large model; Semi-supervised learning; Transformer decoder
3745	BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals Authors: Qinfan Xiao; Ziyun Cui; Chi Zhang; SiQi Chen; Wen Wu; Andrew Thwaites; Alexandra Woolgar; Bowen Zhou; Chao Zhang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: EEG; MEG; foundation model; tokenizer; self supervised learning; neuroscience; Brain Computer Interface
3746	Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks Authors: Sara Cammarota; Matteo Ferrante; Nicola Toschi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Brain Decoding; Interpretability; Vision; Neuroscience
3747	Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts Authors: Chaitanya Kapoor; Sudhanshu Srivastava; Meenakshi Khosla Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Artificial Intelligence; Machine Learning; Representational Convergence
3748	Bridging Scales: Spectral Theory Reveals How Local Connectivity Rules Sculpt Global Neural Dynamics in Spatially Extended Networks Authors: Yuhan Huang; Keren Gao; Dongping Yang; Sen Song; Guozhang Chen Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural Dynamics; Computational Neuroscience; Spectral Theory; Random Matrix; Effective Connectivity; Recurrent Neural Networks
3749	CRRL: Learning Channel-invariant Neural Representations for High-performance Cross-day Decoding Authors: Xianhan Tan; Binli Luo; Yu Qi; Yueming Wang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural Decoding
3750	Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe Authors: Jia-Nuo Liew; Shenghan Lin; Bowen Chen; Wei Zhang; Xiaowei Zhu; Wei Zhang; Xiaolin Hu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Computational Neuroscience; Drosophila Visual System; Orientation Maps; Leaky Integrate-and-Fire Model; Connectome Simulation
3751	Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning Authors: Viet Anh Khoa Tran; Emre Neftci; Willem A.M. Wybo Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: cortical learning; top-down modulations; continual learning; self-supervised learning; semi-supervised learning
3752	Contribution of task-irrelevant stimuli to drift of neural representations Authors: Farhad Pashakhanloo Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuroscience; computational neuroscience; representational drift; continual learning; linear neural networks; representation learning; stochastic gradient desc…
3753	Controlled Visual Hallucination via Thalamus-Driven Decoupling Network for Domain Adaptation of Black-Box Predictors Authors: Yuwu Lu; Chunzhi Liu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Domain Adaptation of Black-Box Predictors; Thalamus-Driven Decoupling Network; Visual Hallucination
3754	Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling Authors: Eray Erturk; Saba Hashemi; Maryam M. Shanechi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Knowledge distillation; Multi-session models; Neural decoding; Neuroscience
3755	DAAC: Discrepancy-Aware Adaptive Contrastive Learning for Medical Time series Authors: Yifan WANG; Hongfeng Ai; Ruiqi Li; Maowei Jiang; Quangao Liu; Jiahua Dong; Ruiyuan Kang; Alan Liang; Zihang Wang; Ruikai Liu; Cheng Jiang; Chenzhong Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Medical Time Series; Contrastive Learning; Multi-View Representation; Discrepancy Estimation; Disease Diagnosis
3756	DCA: Graph-Guided Deep Embedding Clustering for Brain Atlases Authors: Mo Wang; Kaining Peng; Jingsheng Tang; Hongkai Wen; Quanying Liu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuroscience; Brain atlas; Parcellation; Pretraining; Graph; Deep embedding clustering; voxel-level
3757	DSRF: A Dynamic and Scalable Reasoning Framework for Solving RPMs Authors: Chengtai Li; Yuting He; Jianfeng Ren; Ruibin Bai; Yitian Zhao; Xudong Jiang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Abstract Visual Reasoning; Knowledge Representation; Knowledge Reasoning
3758	Decomposing motor units through elimination for real-time intention driven assistive neurotechnology Authors: Nicholas Tacca; Bryan R. Schlink; Jackson T Levine; Mary K. Heimann; Collin Dunlap; Sam Colachis IV; Philip Putnam; Matthew A. Zeglen; Daniel J. Brobston; Austin M Bollinger; José… Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neurotechnology; motor unit decomposition; assistive technology; electromyography
3759	Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments Authors: Riley Simmons-Edler; Ryan Paul Badman; Felix Baastad Berg; Raymond Chua; John Vastola; Joshua Lunger; William Qian; Kanaka Rajan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Deep reinforcement learning; reinforcement learning; foraging; exploration; RNN analysis; open-ended learning; navigation; decision making; behavior analysis;…
3760	Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling Authors: Dehao Zhang; Malu Zhang; Shuai Wang; Jingya Wang; Wenjie Wei; Zeyu Ma; Guoqing Wang; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Resonate and Fire Neuron; Long Sequence Modeling; Spiking Neural Networks
3761	Dimensionality Mismatch Between Brains and Artificial Neural Networks Authors: Santiago Galella; Maren Wehrheim; Matthias Kaschube Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: representational geometry; fMRI; convolutional neural networks; brain-model alignment
3762	Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms Authors: Alicia Zeng; Jack L. Gallant Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Interpretability; Neuroscience; fMRI; Encoding Models; Superposition
3763	Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning Authors: Fei Ye; Yulong Zhao; Qihe Liu; Junlin Chen; Adrian G. Bors; Jingling sun; Rongyao Hu; shijie zhou Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Continual Learning; Adversarial Robustness; Dynamic Expansion Model
3764	Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference Authors: Eray Erturk; Maryam M. Shanechi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Multimodal Deep Learning; Missing Data; Dynamical Models; Neuroscience
3765	Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks Authors: Qingqing Yang; Hsin-Hung Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: working memory; reward maximization; biologically inspired networks; efficient coding; recurrent neural networks
3766	Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks Authors: Anushri Arora; Jonathan W. Pillow Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: low-rank rnns; dynamical systems; computational neuroscience; gaussian processes
3767	Enhanced Self-Distillation Framework for Efficient Spiking Neural Network Training Authors: Xiaochen Zhao; Chengting Yu; Kairong Yu; Lei Liu; Aili Wang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Self-Distillation.
3768	Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness Authors: Lucas Piper; Arlindo L. Oliveira; Tiago Marques Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Computational Neuroscience; Computer Vision; Object Recognition; Convolutional Neural Networks
3769	Exponential Dynamic Energy Network for High Capacity Sequence Memory Authors: Arjun Karuvally; Pichsinee Lertsaroj; Terrence Sejnowski; Hava T Siegelmann Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: memory models; Hopfield Network; energy networks
3770	Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement Authors: Linyang He; Tianjun Zhong; Richard Antonello; Gavin Mischler; Micah Goldblum; Nima Mesgarani Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: (Cognitive/Neuroscience) Neural Coding; (Cognitive/Neuroscience) Language
3771	Finding separatrices of dynamical flows with Deep Koopman Eigenfunctions Authors: Kabir Vinay Dabholkar; Omri Barak Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Reverse-engineering; Recurrent Neural Networks; Dynamical Systems; Koopman Operator
3772	Flexible inference for animal learning rules using neural networks Authors: Yuhan Helena Liu; Victor Geadah; Jonathan W. Pillow Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Computational neuroscience; learning rule inference; decision-making; de novo learning; neural networks; animal behavior
3773	From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit Authors: Sunny Duan; Ling Liang Dong; Ila R Fiete Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: computational neuroscience; connectome; neural dynamics; attractor dynamics; self-supervised learning; structure-function mapping
3774	Generalizable, real-time neural decoding with hybrid state-space models Authors: Avery Hee-Woon Ryoo; Nanda H Krishna; Ximeng Mao; Mehdi Azabou; Eva L Dyer; Matthew G Perich; Guillaume Lajoie Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neural decoding; brain-computer interfaces; neural spiking data; state-space models; real–time
3775	Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning Authors: Wei Wu; Yuxing Lu; Zhengrui Guo; Chi Zhang; Can Liao; Yifan Bu; Fangxu Zhou; Jinzhuo Wang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; neural activity; single neuron; in vivo; neurobiology; self-supervised learning; domain adaptation
3776	Generating Computational Cognitive models using Large Language Models Authors: Milena Rmus; Akshay Kumar Jagadish; Marvin Mathony; Tobias Ludwig; Eric Schulz Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: large language models; cognitive computational models; cognitive science; decision making; neuroscience
3777	GeoDynamics: A Geometric State‑Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds Authors: Tingting Dan; Jiaqi Ding; Guorong Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Geometric Neural Network; State Space Model; Brain Dynamics Analysis; Riemannian Manifold
3778	HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses Authors: Zhichao Deng; Zhikun Liu; Junxue Wang; Shengqian Chen; Xiang Wei; Qiang Yu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Synaptic Heterogeneity; Multi-Timescale Integration; Neuron Modeling
3779	Hierarchical Frequency Tagging Probe (HFTP): A Unified Approach to Investigate Syntactic Structure Representations in Large Language Models and the Human Brain Authors: Jingmin An; Yilong Song; Ruolin Yang; Nai Ding; Lingxi Lu; Yuxuan Wang; Wei Wang; Chu Zhuang; Qian Wang; Fang Fang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Syntactic structure processing; LLM; Syntactic alignment
3780	Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder Authors: Qi Xin; Robert Kass Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: functional connectivity; neural spike train modeling; trial-to-trial variation; point process; generalized linear models; deep latent variable models
3781	Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings Authors: Ian Christopher Tanoh; Michael Deistler; Jakob H. Macke; Scott Linderman Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Computational neuroscience; State-space models; Extended Kalman Filter; biophysical modeling
3782	In Silico Mapping of Visual Categorical Selectivity Across the Whole Brain Authors: Ethan Hwang; Hossein Adeli; Wenxuan Guo; Andrew Luo; Nikolaus Kriegeskorte Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neural encoding; brain mapping; transformers; generative diffusion model
3783	Inference of Whole Brain Electrophysiological Networks Through Multimodal Integration of Simultaneous Scalp and Intracranial EEG Authors: Shihao Yang; Feng Liu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Electrophysiological Brain Networks; State-Space Models; Multimodal Neuroimaging; Brain Connectome; Working Memory
3784	Inference with correlated priors using sisters cells Authors: Sina Tootoonian; Andreas T. Schaefer Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: bayesian inference; olfaction; architecture; latent variable models; structured priors
3785	Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets Authors: Ji Xia; Yizi Zhang; Shuqi Wang; Genevera I. Allen; Liam Paninski; Cole Lincoln Hurwitz; Kenneth D. Miller Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; autoencoder; Neuropixels datasets; inpainting; brain area interactions; eletrophysiology.
3786	Interpretable Next-token Prediction via the Generalized Induction Head Authors: Eunji Kim; Sriya Mantena; Weiwei Yang; Chandan Singh; Sungroh Yoon; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: interpretability; ngram; language modeling; fmri; neuroscience
3787	Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics Authors: Reece Keller; Alyn Kirsch; Felix Pei; Xaq Pitkow; Leo Kozachkov; Aran Nayebi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: NeuroAI; intrinsic motivation; zebrafish; neural-glial; embodied agents; reinforcement learning; autonomy.
3788	Is Limited Participant Diversity Impeding EEG-based Machine Learning? Authors: Philipp Bomatter; Henry Gouk Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: EEG; electroencephalography; scaling behaviour; distribution shift; augmentation; self-supervised learning
3789	Joint Modeling of fMRI and EEG Imaging Using Ordinary Differential Equation-Based Hypergraph Neural Networks Authors: YanZhang; Yang Gao; Min Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: fMRI; EEG; Multimodal modeling
3790	Know Thyself by Knowing Others: Learning Neuron Identity from Population Context Authors: Vinam Arora; Divyansha Lachi; Ian Jarratt Knight; Mehdi Azabou; Blake Aaron Richards; Cole Lincoln Hurwitz; Josh Siegle; Eva L Dyer Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neural identity; cell type identification; brain region identification; computational neuroscience; systems neuroscience; self-supervised learning; contrastive…
3791	LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis Authors: Berkay Döner; Thorir Mar Ingolfsson; Luca Benini; Yawei Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Electroencephalography (EEG); Biosignal Processing; Transformers; Self-Supervised Learning; Foundation Models; Representation Learning
3792	Large Language Models Think Too Fast To Explore Effectively Authors: Lan Pan; Hanbo Xie; Robert Wilson Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Large Language Models; Exploration; Empowerment; Uncertainty; Reasoning
3793	Large Language Models as Model Organisms for Human Associative Learning Authors: Camila Kolling; Vy A. Vo; Mariya Toneva Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Large Language Models; Associative Learning; In-Context Learning; Representational Change
3794	Learning Dynamics of RNNs in Closed-Loop Environments Authors: Yoav Ger; Omri Barak Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Recurrent Neural Networks; Closed-Loop; Learning Theory; Dynamical Systems; Neuroscience
3795	Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks Authors: Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li; Feifei Zhao; Yi Zeng Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Plasticity-Driven Learning Framework; Spiking Neural Networks; Bio-Inspired
3796	Learning to cluster neuronal function Authors: Nina S. Nellen; Polina Turishcheva; Michaela Vystrčilová; Shashwat Sridhar; Tim Gollisch; Andreas S. Tolias; Alexander S. Ecker Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: reproducibility; predictive models for visual cortex; neuroscience; inductive bias; clustering
3797	Let Brain Rhythm Shape Machine Intelligence for Connecting Dots on Graphs Authors: Jiaqi Ding; Tingting Dan; Zhixuan Zhou; Guorong Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuroimage; Brain dynamics; Kuramoto model; Graph Learning
3798	Local-Global Coupling Spiking Graph Transformer for Brain Disorders Diagnosis from Two Perspectives Authors: Geng Zhang; Jiangrong Shen; Kaizhong Zheng; Liangjun Chen; Badong Chen Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking neural networks; brain-inspired computational model
3799	Localist Topographic Expert Routing: A Barrel Cortex-Inspired Modular Network for Sensorimotor Processing Authors: Tianfang Zhu; Dongli Hu; Jiandong Zhou; Kai Du; Anan LI Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: barrel cortex; expert system; biologically constrained model; brain-inspired intelligence; tactile sensation
3800	MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs Authors: Jan Sobotka; Luca Baroni; Ján Antolík Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural decoding; Neural population activity; Most exciting inputs; Image reconstruction; Visual cortex
3801	MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks Authors: Dengfeng Xue; Wenjuan Li; Yifan Lu; Chunfeng Yuan; Yufan Liu; Wei Liu; Man Yao; Li Yang; Guoqi Li; Bing Li; Stephen Maybank; Weiming Hu; Zhetao Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: spiking neural networks; redundancy quantification; redundancy reduction; mutual information; attention mechanism
3802	Mechanistic Interpretability of RNNs emulating Hidden Markov Models Authors: Elia Torre; Michele Viscione; Lucas Pompe; Benjamin F Grewe; Valerio Mante Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Recurrent Neural Networks; Hidden Markov Models; Stochastic Resonance; Reverse-Engineering; Behavioral Neuroscience; Computationa…
3803	Memory by accident: a theory of learning as a byproduct of network stabilization Authors: Basile Confavreux; Will Dorrell; Nishil Patel; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Synaptic plasticity; Spiking networks; Toy models; Learning and Memory; Familiarity detection
3804	Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex Authors: Muquan Yu; Mu Nan; Hossein Adeli; Jacob S. Prince; John A. Pyles; Leila Wehbe; Margaret Marie Henderson; Michael J. Tarr; Andrew Luo Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: fMRI; brain; visual cortex; neuroscience; visual neuroscience; NeuroAI; visual selectivity; semantic selectivity; in-context learning
3805	MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding Authors: YUXIANG WEI; Yanteng Zhang; Xi Xiao; Tianyang Wang; Xiao Wang; Vince Calhoun Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: brain decoding; visual reconstruction; fMRI
3806	Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors Authors: Finn Schmidt; Polina Turishcheva; Suhas Shrinivasan; Fabian H. Sinz Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Dynamics of neural representations; probabilistic neural predictive models; primary visual cortex of mice; variational encoding models; stimulus-independent va…
3807	Modeling Neural Activity with Conditionally Linear Dynamical Systems Authors: Victor Geadah; Amin Nejatbakhsh; David Lipshutz; Jonathan W. Pillow; Alex H Williams Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Linear Dynamical Systems; Gaussian Processes; Neural data analysis; Expectation-Maximization
3808	Modelling the control of offline processing with reinforcement learning Authors: Eleanor Spens; Neil Burgess; Timothy Edward John Behrens Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: computational neuroscience; offline learning; reinforcement learning; hippocampal replay; generative replay
3809	Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One Authors: Itamar Avitan; Tal Golan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Representational Alignment; Model Recovery; Deep Neural Networks; Similarity Judgments; Representational Geometry; Cognitve Computational modeling
3810	Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing Authors: Qingzhu Zhang; Jiani Zhong; Li ZongSheng; Xinke Shen; Quanying Liu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: EEG; pre-training; affective computing; emotion
3811	Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics Authors: Peng Xue; Wei Fang; Zhengyu Ma; Zihan Huang; Zhaokun Zhou; Yonghong Tian; Timothée Masquelier; Huihui Zhou Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Network; SNN; deep learning; spiking neuron; neuromorphic computing
3812	NEED: Cross-Subject and Cross-Task Generalization for Video and Image Reconstruction from EEG Signals Authors: Shuai Huang; Huan Luo; Haodong Jing; Qixian Zhang; Litao Chang; Yating Feng; Xiao Lin; Chendong Qin; Han Chen; Shuwen Jia; Siyi Sun; Yongxiong Wang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: EEG; Cross-Subject; Cross-Task; Video Reconstruction; Image Reconstruction
3813	NOBLE - Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models Authors: Luca Ghafourpour; Valentin Duruisseaux; Bahareh Tolooshams; Philip H. Wong; Costas A. Anastassiou; Anima Anandkumar Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Computational Neuroscience; Neural Dynamics; Neural Operators; Ensemble Surrogate Modeling; Interpretable Latent Embeddings
3814	NeurIPT: Foundation Model for Neural Interfaces Authors: Zitao Fang; CHENXUAN LI; Zhou Hongting; Shuyang Yu; Guodong DU; Ashwaq Qasem; Yang Lu; Jing Li; Junsong Zhang; Sim Kuan Goh Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: BCI; transformer; EEG
3815	Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction Authors: Xiuning Zhang; Xincheng Lu; Nihong Chen; Yuanyuan Mi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: serial dependence; short-term plasticity; continuous attractor neural networks; sensitivity and stability
3816	Neurons as Detectors of Coherent Sets in Sensory Dynamics Authors: Joshua L. Pughe-Sanford; Xuehao Ding; Jason J Moore; Anirvan M. Sengupta; Charles Epstein; Philip Greengard; Dmitri Chklovskii Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuron; self-supervised learning; dynamics; spectral clustering
3817	OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states Authors: Yuki Minai; Joana Soldado-Magraner; Byron M. Yu; Matthew A. Smith Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: closed-loop optimization; microstimulation; neural population activity; dimensionality reduction; latent variable models; reinforcement learning; behavior clon…
3818	Orthogonal Contrastive Learning for Multi-Representation fMRI Analysis Authors: Tony Yousefnezhad Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: fMRI analysis; Contrastive Learning; Functional Alignment; Transfer Learning; Multi-Representation fMRI Analysis
3819	POCO: Scalable Neural Forecasting through Population Conditioning Authors: Yu Duan; Hamza Tahir Chaudhry; Misha B. Ahrens; Christopher D Harvey; Matthew G Perich; Karl Deisseroth; Kanaka Rajan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural Dynamics; Neural Foundation Models; Time-Series Forecasting
3820	Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance Authors: Jack Goffinet; Youngjo Min; Carlo Tomasi; David Carlson Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: animal pose; gaussian splatting; neuroscience
3821	Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks Authors: Alexander Ratzan; Sidharth Goel; Junhao Wen; Christos Davatzikos; Erdem Varol Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; connectomics; transcriptomics; transformers; fMRI
3822	Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability Authors: Po-Chen Kuo; Han Hou; Will Dabney; Edgar Y. Walker Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: partial observability; meta-reinforcement learning; predictive coding; self-supervised learning; representation learning; neuro-ai; decision-making under uncer…
3823	Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control Authors: Zijie Xu; Tong Bu; Zecheng Hao; Jianhao Ding; Zhaofei Yu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Reinforcement Learning
3824	Quantifying Task-relevant Similarities in Representations Using Decision Variable Correlations Authors: Yu Eric Qian; Wilson S. Geisler; Xue-Xin Wei Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: representational similarity; neural networks; neural coding; decision variable; computational neuroscience
3825	Quantifying Uncertainty in Error Consistency: Towards Reliable Behavioral Comparison of Classifiers Authors: Thomas Klein; Sascha Meyen; Wieland Brendel; Felix A. Wichmann; Kristof Meding Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Error Consistency; Behavioral Alignment; Vision
3826	REMI: Reconstructing Episodic Memory During Internally Driven Path Planning Authors: Zhaoze Wang; Genela Morris; Dori Derdikman; Pratik Chaudhari; Vijay Balasubramanian Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: grid cells; place cells; hippocampus; medial entorhinal cortex; spatial navigation and planning
3827	REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects Authors: Yassine El Ouahidi; Jonathan Lys; Philipp Thölke; Nicolas Farrugia; Bastien Pasdeloup; Vincent Gripon; Karim Jerbi; Giulia Lioi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Foundation Model; EEG; SSL; BCI
3828	RNNs perform task computations by dynamically warping neural representations Authors: Arthur Pellegrino; Angus Chadwick Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: RNN; Computational Neuroscience; Dynamical Systems; Neural Representations
3829	Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model Authors: Yicong Chen; Jiahua Rao; Jiancong Xie; Dahao Xu; Zhen WANG; Yuedong Yang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Virtual Screening; Active Learning; Molecular Activity; Drug Discovery
3830	Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry Authors: Antoine Collas; Ce Ju; Nicolas Salvy; Bertrand Thirion Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: brain connectivity; Riemannian geometry; covariance matrix; fmri; diffeomorphism; generative model
3831	S$^2$M-Former: Spiking Symmetric Mixing Branchformer for Brain Auditory Attention Detection Authors: Jiaqi Wang; Zhengyu Ma; Xiongri Shen; Chenlin Zhou; Leilei Zhao; Han Zhang; Yi Zhong; Siqi Cai; Zhenxi Song; Zhiguo Zhang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Auditory Attention Detection; Spiking Neural Network; EEG; Brain-computer Interfaces
3832	S$^2$NN: Sub-bit Spiking Neural Networks Authors: Wenjie Wei; Malu Zhang; Jieyuan Zhang; Ammar Belatreche; Shuai Wang; Yimeng Shan; Hanwen Liu; Honglin Cao; Guoqing Wang; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Spiking Quantization; Neuromorphic Datasets
3833	SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding Authors: Yangxuan Zhou; Sha Zhao; Jiquan Wang; Haiteng Jiang; Shijian Li; Tao Li; Gang Pan Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Synaptic homeostasis; Brain-inspired; Continual EEG decoding
3834	SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Authors: Trung Le; Hao Fang; Jingyuan Li; Tung Nguyen; Lu Mi; Amy L Orsborn; Uygar Sümbül; Eli Shlizerman Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: intracortical brain-computer interfaces
3835	Scalable inference of functional neural connectivity at submillisecond timescales Authors: Arina Medvedeva; Edoardo Balzani; Alex H Williams; Stephen L Keeley Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Generalized linear model; functional connectivity; poisson point process; stochastic optimization
3836	Seemingly Redundant Modules Enhance Robust Odor Learning in Fruit Flies Authors: HaiYang Li; Liao Yu; Qiang Yu; Yunliang Zang Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: olfactory representations; lateral inhibition；spike frequency adaptation; pattern classification；spiking neural networks
3837	Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential Authors: Tianxiao He; Malhar Patel; Chenyi Li; Anna Maslarova; Mihály Vöröslakos; Nalini Ramanathan; Wei-Lun Hung; Gyorgy Buzsaki; Erdem Varol Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: neural decoding; electrophysiology; contrastive learning; neuroscience
3838	Self-Calibrating BCIs: Ranking and Recovery of Mental Targets Without Labels Authors: Jonathan Grizou; Carlos De la Torre-Ortiz; Tuukka Ruotsalo Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: EEG; brain-computer interfacing; calibration-free
3839	Self-Supervised Discovery of Neural Circuits in Spatially Patterned Neural Responses with Graph Neural Networks Authors: Kijung Yoon Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuroscience; Memory; Neural connectivity inference; Continuous attractor networks; Neural circuit dynamics; Graph neural networks
3840	Shaping Sequence Attractor Schema in Recurrent Neural Networks Authors: Zhikun Chu; Bo Hong; Xiaolong Zou; Yuanyuan Mi Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: schema; attractor; behavioral shaping; sequence
3841	SimSort: A Data-Driven Framework for Spike Sorting by Large-Scale Electrophysiology Simulation Authors: Yimu Zhang; Dongqi Han; Yansen Wang; Zhenning Lv; Yu Gu; Dongsheng Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spike Sorting; Neuroscience
3842	Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks Authors: Yi Xie; Stefan Mihalas; Łukasz Kuśmierz Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: theoretical neuroscience; recurrent neural networks; heavy-tailed connectivity; finite-size effects; Lyapunov exponents
3843	Spectral Analysis of Representational Similarity with Limited Neurons Authors: Hyunmo Kang; Abdulkadir Canatar; SueYeon Chung Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: representational similarity; centered kernel alignment; random matrix theory; computational neuroscience
3844	Spik-NeRF: Spiking Neural Networks for Neural Radiance Fields Authors: Gang Wan; Qinlong Lan; LiZihan; Huimin Wang; Wu Yitian; wang zhen; Wanhua Li; Yufei Guo Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Spiking NeRF; Neural Radiance Fields
3845	Spike-RetinexFormer: Rethinking Low-light Image Enhancement with Spiking Neural Networks Authors: Hongzhi Wang; Xiubo Liang; Jinxing Han; Weidong Geng Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Low-light Image Enhancement
3846	Spike-timing-dependent Hebbian learning as noisy gradient descent Authors: Niklas Dexheimer; Sascha Gaudlitz; Johannes Schmidt-Hieber Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Biological neural networks; Hebbian learning; Spike-timing-dependent plasticity; Noisy gradient descent; Mirror descent
3847	SplashNet: Split‑and‑Share Encoders for Accurate and Efficient Typing with Surface Electromyography Authors: Nima Ryan Hadidi; Jason Chan; Ebrahim Feghhi; Jonathan Kao Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: sEMG; EMG; electromyography; typing; keystroke; keyboard; qwerty; emg2qwerty; BCI; HCI; neuromotor
3848	SynBrain: Enhancing Visual-to-fMRI Synthesis via Probabilistic Representation Learning Authors: Weijian Mai; Jiamin Wu; Yu Zhu; Zhouheng Yao; Dongzhan Zhou; Andrew Luo; Qihao Zheng; Wanli Ouyang; Chunfeng Song Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Brain encoding; Probabilistic modeling; Cross-modal generation
3849	THD-BAR: Topology Hierarchical Derived Brain Autoregressive Modeling for EEG Generic Representations Authors: Wenchao Yang; Weidong Yan; Wenkang Liu; Yulan Ma; Yang Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Electroencephalogram; brain autoregressive modeling; self-supervised learning; brain-computer interfaces
3850	TRACE: Contrastive learning for multi-trial time series data in neuroscience Authors: Lisa Schmors; Dominic Gonschorek; Jan Niklas Böhm; Yongrong Qiu; Na Zhou; Dmitry Kobak; Andreas S. Tolias; Fabian H. Sinz; Jacob Reimer; Katrin Franke; Sebastian Damrich; Philipp… Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neural cell types; Dimensionality reduction; Contrastive learning; Two-photon recordings; Time series data
3851	Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity Authors: Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Visual Cortex; Latent Variable Models; Dynamical System
3852	Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding Authors: Ebrahim Feghhi; Shreyas Kaasyap; Nima Ryan Hadidi; Jonathan Kao Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Neuroscience; Speech Decoding; Speech Neuroprostheses; Brain Computer Interface
3853	Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game Authors: Tingting Dan; Zhihao Fan; Guorong Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: physics-informed deep learning; reaction–diffusion model; mean field game; symbolic regression; Alzheimer’s disease
3854	Unfolding the Black Box of Recurrent Neural Networks for Path Integration Authors: Tianhao Chu; Yuling Wu; Neil Burgess; Zilong Ji; Si Wu Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Path integration; Recurrent neural networks; Band cells; Grid cells
3855	Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks Authors: Jieyuan Zhang; Xiaolong Zhou; Shuai Wang; Wenjie Wei; Hanwen Liu; Qian Sun; Malu Zhang; Yang Yang; Haizhou Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Effective Receptive Fields; Visual long-sequence modeling
3856	Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models Authors: Fenil R. Doshi; Thomas Fel; Talia Konkle; George A. Alvarez Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Deep Learning; Vision Models; Shape Processing; Holistic Shape
3857	Volume Transmission Implements Context Factorization to Target Online Credit Assignment and Enable Compositional Generalization Authors: Matthew Storm Bull; Po-Chen Kuo; Andrew Lawrence Smith; Michael A Buice Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Meta-learning; Bio-inspired; Hypernetworks; Compositionality; Sequence Learning
3858	What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses Authors: Federico D'Agostino; Lisa Schwetlick; Matthias Bethge; Matthias Kuemmerer Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: eye movements; scanpaths; mechanistic modelling; benchmarking; cognitive; data-driven; behaviour
3859	What do you know? Bayesian knowledge inference for navigating agents Authors: Matthias Schultheis; Jana-Sophie Schönfeld; Constantin A. Rothkopf; Heinz Koeppl Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Bayesian reinforcement learning; computational cognitive science; human behavior; inverse reinforcement learning; theory of mind
3860	ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding Authors: Haonan Wang; Jingyu Lu; Hongrui Li; Xiaomeng Li Affiliation: 官方页面未列出 Official area / track: neuroscience_and_cognitive_science Recognition: Poster/Regular Keywords: Zero-shot Brain Decoding; fMRI-to-Image Reconstruction; Image Generation
3861	3BASiL: An Algorithmic Framework for Sparse plus Low-Rank Compression of LLMs Authors: Mehdi Makni; Xiang Meng; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sparse plus Low-Rank; Model Compression; Large Language Models; LoRA; PEFT; ADMM; Optimization
3862	A Beyond-Worst-Case Analysis of Greedy k-means++ Authors: Qingyun Chen; Sungjin Im; Benjamin Moseley; Ryan Milstrey; Chenyang Xu; Ruilong Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: k-means; clustering; approximation algorithms
3863	A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems Authors: Gokul Rajaraman; Debasish Chatterjee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal cover; Optimal n-net; Sensitivity of nonlinear programs; Numerical gradient algorithm
3864	A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning Authors: Daniel Tschernutter; David Diego Castro; Maciej Kasiński Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Energy-based models; Iterative reasoning; Difference-of-convex function optimization
3865	A Gradient Guided Diffusion Framework for Chance Constrained Programming Authors: Boyang Zhang; Zhiguo Wang; Ya-Feng Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Chance Constrained Programming; Diffusion Model; Optimization via Sampling; Gradient Guidance; Waveform Design
3866	A Learning-Augmented Dynamic Programming Approach for Orienteering Problem with Time Windows Authors: Guansheng Peng; Lining Xing; Fuyan Ma; Aldy Gunawan; Guopeng Song; Pieter Vansteenwegen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: combinatorial optimization; graph convolutional network; dynamic programming; state-space relaxation
3867	A Markov Decision Process for Variable Selection in Branch & Bound Authors: Paul STRANG; Zacharie ALES; Côme Bissuel; Olivier Juan; Safia Kedad-Sidhoum; Emmanuel Rachelson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Mixed-integer linear programming; Branch and bound; Reinforcement learning; Markov decision process
3868	A Minimalist Example of Edge-of-Stability and Progressive Sharpening Authors: Liming Liu; Zixuan Zhang; Simon Shaolei Du; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: edge of stability; progressive sharpening; gradient descent; training dynamics; nonconvex optimization; linear network
3869	A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees Authors: Yuhao Zhou; Jintao Xu; Bingrui Li; Chenglong Bao; Chao Ding; Jun Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: smooth nonconvex optimization; regularized Newton method; worst-case complexity; adaptive algorithm
3870	A Single-Loop First-Order Algorithm for Linearly Constrained Bilevel Optimization Authors: Wei Shen; Jiawei Zhang; Minhui Huang; Cong Shen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel optimization; Constrained optimization; Hessian-free; Single-loop; Convergence analysis
3871	A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation Authors: Qichao Cao; Shangzhi Zeng; Jin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bi-level Optimization; Pessimistic Bilevel Optimization; Gradient Method; Single-loop; Value Function; Smooth Approximation
3872	A Theoretical Framework for Grokking: Interpolation followed by Riemannian Norm Minimisation Authors: Etienne Boursier; Scott Pesme; Radu-Alexandru Dragomir Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: grokking; non-convex optimisation; dynamic perturbed systems; theory of neural networks; Riemannian optimisation
3873	A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond Authors: Yipeng Li; Xinchen Lyu; Zhenyu Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic gradient descent; random reshuffling; federated learning; convergence analysis
3874	A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias Authors: WEI-KAI CHANG; Rajiv Khanna Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic Gradient Descent (SGD); Sharpness-Aware Minimization (SAM); Linear Stability Analysis; Two-Layer ReLU Networks; Stability and Convergence
3875	ASGO: Adaptive Structured Gradient Optimization Authors: Kang An; Yuxing Liu; Rui Pan; Yi Ren; Shiqian Ma; Donald Goldfarb; Tong Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; optimization theory; adaptive gradient method; optimization for deep learning; convex optimization
3876	Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization Authors: Yijin Ren; Haifeng Xu; Qi Deng Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex optimization; Stochastic optimization; parameter-free optimization
3877	Accelerating Block Coordinate Descent for LLM Finetuning via Landscape Expansion Authors: Qijun Luo; Yifei Shen; Liangzu Peng; Dongsheng Li; Xiao Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Memory efficiency; optimization
3878	Accelerating Model-Free Optimization via Averaging of Cost Samples Authors: Guido Carnevale; Giuseppe Notarstefano Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Model-Free Optimization; Zeroth-Order Optimization; Derivative-Free Optimization
3879	Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space Authors: Jiyoung Park; Abhishek Roy; Jonathan W. Siegel; Anirban Bhattacharya Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Riemannian optimization; Acceleration; Wasserstein space
3880	Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization Authors: Xiaochuan Gong; Jie Hao; Mingrui Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: hierarchical optimization; adaptive algorithms; stochastic optimization
3881	Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing Authors: Davin Choo; Yuqi Pan; Tonghan Wang; Milind Tambe; Alastair van Heerden; Cheryl Johnson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: sequential decision making; graphs; branching bandits; gittins index; network-based testing; public health
3882	Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing Authors: Kangkang Deng; Jiachen Jin; Jiang Hu; Hongxia Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: ADMM; manifold optimization; iteration complexity; adaptivity
3883	An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds Authors: Xu Shi; Rufeng Xiao; Rujun Jiang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adaptive algorithm; Bilevel optimization; Riemannian manifolds; Complexity
3884	An Ellipsoid Algorithm for Online Convex Optimization Authors: Zakaria Mhammedi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Online Convex Optimization; Projection-Free; Ellipsoid Method; Separation Oracle
3885	Balancing Gradient and Hessian Queries in Non-Convex Optimization Authors: Deeksha Adil; Brian Bullins; Aaron Sidford; Chenyi Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: non-convex optimization; critical point; gradient query; Hessian query; dimension-dependent method
3886	Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble Authors: Hanyang Wang; Juergen Branke; Matthias Poloczek Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bayesian Optimization; Preference Learning; Multi-objective Optimization; Neural Network
3887	Beyond Value Functions: Single-Loop Bilevel Optimization under Flatness Conditions Authors: Liuyuan Jiang; Quan Xiao; Lisha Chen; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; Holder's condition; value function; penalty bilevel
3888	Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond Authors: Risheng Liu; Zhu Liu; Weihao Mao; Wei Yao; Jin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel optimization; Sharpness-Aware Minimization; Generative Adversarial Learning; Accuracy-efficiency Trade-off
3889	Bootstrap Your Uncertainty: Adaptive Robust Classification Driven by Optimal-Transport Authors: Jiawei Huang; Minming Li; Hu Ding Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributionally robust optimization; optimal transport
3890	CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization Authors: Irene Wang; Mostafa Elhoushi; H Ekin Sumbul; Samuel Hsia; Daniel Jiang; Newsha Ardalani; Divya Mahajan; Carole-Jean Wu; Bilge Acun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Carbon Footprint; Sustainability; Hardware Accelerator; Architecture Search; Neural Architecture Search; Optimization
3891	Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization Authors: Khanh-Hung Giang-Tran; Soroosh Shafiee; Nam Ho-Nguyen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; stochastic optimization; projection-free; conditional gradient
3892	Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space Authors: Mingyang Yi; Bohan Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization on Manifold; SGLD; Continuous Gradient Flow
3893	Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization Authors: Sebastian Kassing; Simon Weissmann; Leif Döring Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic gradient descent; Tikhonov regularization; convex optimization; minimum-norm solution
3894	Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions Authors: Ofir Gaash; Kfir Yehuda Levy; Yair Carmon Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: convex optimization; stochastic optimization; smooth optimization; generalized smoothness
3895	Convergence of the Gradient Flow for Shallow ReLU Networks on Weakly Interacting Data Authors: Léo Dana; Loucas Pillaud-Vivien; Francis Bach Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Shallow Neural Networks; Gradient Flow; High-dimension; Convergence rate
3896	Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers Authors: Ziyi Fang; Lingxiao Huang; Runkai Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: coreset; robust geometric median; Euclidean space; outlier; robust clustering
3897	Decreasing Entropic Regularization Averaged Gradient for Semi-Discrete Optimal Transport Authors: Ferdinand Genans; Antoine Godichon-Baggioni; François-Xavier Vialard; Olivier Wintenberger Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Entropic Optimal Transport; Decreasing Regularization; Stochastic Gradient Descent
3898	Deep Legendre Transform Authors: Aleksey Minabutdinov; Patrick Cheridito Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex Conjugates; Legendre Transformation; Deep Learning; Input Convex Neural Networks
3899	Deep learning for continuous-time stochastic control with jumps Authors: Patrick Cheridito; Jean-Loup Dupret; Donatien Hainaut Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Continuous-time stochastic control; Jump diffusion; Actor-critic; Physics-informed neural networks; Hamilton-Jacobi-Bellman equation; Deep learning; Bellman up…
3900	DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Authors: Hongshu Guo; Zeyuan Ma; Yining Ma; Xinglin Zhang; Wei-Neng Chen; Yue-Jiao Gong Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Automated Algorithm Design; Black-Box-Optimization; Meta-Black-Box Optimization; Learning to Optimize; Deep Reinforcement Learning
3901	Differentiable extensions with rounding guarantees for combinatorial optimization over permutations Authors: Robert R Nerem; Zhishang Luo; Akbar Rafiey; Yusu Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial optimization; Permutations; Birkhoff-von-Neumann decomposition; matching; quadratic assignment
3902	Differentiation Through Black-Box Quadratic Programming Solvers Authors: Connor W. Magoon; Fengyu Yang; Noam Aigerman; Shahar Z. Kovalsky Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; differentiable optimization; quadratic programming
3903	Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks Authors: Alper KALLE; Théo Rudkiewicz; Mohamed Ouerfelli; mohamed Tamaazousti Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Compression of neural networks; tensor decomposition; low-rank approximation; distribution-aware norm
3904	Distributionally Robust Feature Selection Authors: Maitreyi Swaroop; Tamar Krishnamurti; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: DRO; feature-selection
3905	Distributionally Robust Performative Optimization Authors: Zhuangzhuang Jia; Yijie Wang; Roy Dong; Grani A. Hanasusanto Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributionally robust optimization; decision-dependent uncertainty; performative stochastic optimization
3906	Efficient Adaptive Federated Optimization Authors: Su Hyeong Lee; Sidharth Sharma; Manzil Zaheer; Tian Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: federated optimization; communication- and memory-efficiency; adaptivity
3907	Efficient Algorithms for Robust and Partial Semi-Discrete Optimal Transport Authors: Pankaj K Agarwal; Sharath Raghvendra; Pouyan Shirzadian; Keegan Yao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Semi-Discrete Optimal Transport; Approximation Algorithms; Robust Optimal Transport
3908	Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients Authors: Shiyuan Zuo; Xingrun Yan; Rongfei Fan; Li Shen; Puning Zhao; Jie Xu; Han Hu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated learning; Byzantine attacks; convergence analysis; data heterogeneity.
3909	Efficient Quadratic Corrections for Frank-Wolfe Algorithms Authors: Jannis Halbey; Seta Rakotomandimby; Mathieu Besançon; Sébastien Designolle; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex optimization; conditional gradient method; Frank-Wolfe method
3910	Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity Authors: Daniel Yiming Cao; August Y Chen; Karthik Sridharan; Benjamin Tang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Non-convex optimization; stochastic optimization; second order stationary points; generalized smoothness
3911	Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules Authors: Gonzalo E. Constante Flores; Hao Chen; Can Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: constrained deep learning; physics-informed neural networks; safe machine learning
3912	Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models Authors: Yixiao Wang; Zishan Shao; Ting Jiang; Aditya Devarakonda Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: convex optimization; coordinate descent; generalized linear models
3913	Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size Authors: Rustem Islamov; Niccolò Ajroldi; Antonio Orvieto; Aurelien Lucchi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adaptive Algorithms; Theoretical Analysis of Adaptive Methods; Polyak Stepsize; Stability
3914	Enhancing Zero-Shot Black-Box Optimization via Pretrained Models with Efficient Population Modeling, Interaction, and Stable Gradient Approximation Authors: Muqi Han; Xiaobin Li; Kai Wu; Xiaoyu Zhang; Handing Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Meta Black-box Optimization; Black-box optimization; Pretrained Optimization Model; Neural Combinatorial Optimization
3915	Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum Authors: Sarit Khirirat; Abdurakhmon Sadiev; Artem Riabinin; Eduard Gorbunov; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Generalized smoothness; error feedback; normalization; stochastic gradient descent; momentum
3916	Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable Authors: Bicheng Ying; Zhe Li; Haibo Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Learning; Arbitrary Client Participation; Graph; Stochastic Matrix; Decentralized Optimization
3917	Exploring Landscapes for Better Minima along Valleys Authors: Tong Zhao; Jiacheng Li; Yuanchang Zhou; Guangming Tan; Weile Jia Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; landscape; exploration; local minimum; convergence; exponential moving average
3918	Extragradient Method for $(L_0, L_1)$-Lipschitz Root-finding Problems Authors: Sayantan Choudhury; Nicolas Loizou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; extragradient; min-max; variational inequality problem
3919	FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing Authors: Binrui Shen; LiangYuan; Shengxin Zhu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: graph matching; network alignment; quadratic assignment problem; linear assignment problem
3920	FSEO: Few-Shot Evolutionary Optimization via Meta-Learning for Expensive Multi-Objective Optimization Authors: Xunzhao Yu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Expensive optimization; meta-learning; few-shot optimization; multi-objective optimization
3921	FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees Authors: Hoang T. Nguyen; Priya L. Donti Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: deep learning; optimization; constraint enforcement
3922	Factor Decorrelation Enhanced Data Removal from Deep Predictive Models Authors: Wenhao Yang; Lin Li; Xiaohui Tao; Kaize Shi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Factor decorrelation; Data removal; Out-of-distribution performance; Deep predictive models; Optimization
3923	Fairness-Regularized Online Optimization with Switching Costs Authors: Pengfei Li; Yuelin Han; Adam Wierman; Shaolei Ren Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Online optimization; long-term cost; health-informed decision making
3924	Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Authors: Amit Attia; Matan Schliserman; Uri Sherman; Tomer Koren Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: last-iterate; low-noise; interpolation; realizable; sgd; stochastic; convex; smooth
3925	Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods Authors: Junhyung Lyle Kim; Brandon Augustino; Dylan Herman; Enrico Fontana; Jacob Watkins; Marco Pistoia; Shouvanik Chakrabarti Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quantum computing; convex optimization; quantum gradient methods; semidefinite programming; linear programming; zero-sum games
3926	Faster Algorithms for Structured John Ellipsoid Computation Authors: Yang Cao; Xiaoyu Li; Zhao Song; Xin Yang; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: John Ellipsoid
3927	Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints Authors: Jayanta Mandi; Marianne Defresne; Senne Berden; Tias Guns Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decision-focused learning; predict-and-optimize; constrained optimization
3928	Finding Low-Rank Matrix Weights in DNNs via Riemannian Optimization: RAdaGrad and RAdamW Authors: Fengmiao Bian; Jinyang ZHENG; Ziyun Liu; Jianzhou Luo; Jian-Feng Cai Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Riemannian Gradient Descent; Low-rank matrix weights; Fine-tuning; AdaGrad; AdamW
3929	Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds Authors: Emre Sahinoglu; Youbang Sun; Shahin Shahrampour Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Riemannian Optimization; Nonsmooth Optimization; Nonconvex Optimization
3930	Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the m-Set Semi-Bandit Problems Authors: Jingxin Zhan; Yuchen Xin; Chenjie Sun; Zhihua Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: multi-armed bandit; combinatorial semi-bandit; m-set semi-bandit; best-of-both-worlds; follow-the-perturbed-leader; Fréchet distribution
3931	Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape Authors: Shiyue Wang; Ziao Guo; Changhong Lu; Junchi Yan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Franctional Langvin Dynamics; Combinatorial Optimization
3932	GIST: Greedy Independent Set Thresholding for Max-Min Diversification with Submodular Utility Authors: Matthew Fahrbach; Srikumar Ramalingam; Morteza Zadimoghaddam; Sara Ahmadian; Gui Citovsky; Giulia DeSalvo Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: approximation algorithm; submodular maximization; max-min diversification; data sampling; subset selection
3933	Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent Authors: Ziyang Wei; Jiaqi Li; Zhipeng Lou; Wei Biao Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic gradient descent; constant step size; Gaussian approximation; concentration
3934	Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming Authors: Hongyu Cheng; Amitabh Basu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Integer programming; branch-and-cut; cutting planes; branch-and-bound; sample complexity; learning theory
3935	HEIR: Learning Graph-Based Motion Hierarchies Authors: Cheng Zheng; William Alexander Koch; Baiang Li; Felix Heide Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Hierarchical Motion Modeling; Dynamic Scene Understanding; Video Motion Editing; Scene Deformation
3936	Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation Authors: Nguyen Hoang Khoi Do; Bach Ngo; Youval Kashuv; Canh V. Pham; Hanghang Tong; My T. Thai Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Reinforcement learning; Generative AI
3937	Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points Authors: Naoya Yamamoto; Juno Kim; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: probability measure optimization; Wasserstein gradient flow; non-convex optimization
3938	Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints Authors: Batuhan Altundas; Shengkang Chen; Shivika Singh; Shivangi Deo; Minwoo Cho; Matthew Craig Gombolay Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Task Allocation and Scheduling; Multi-Agent Coordination; Graph Neural Networks
3939	Hierarchical Optimization via LLM-Guided Objective Evolution for Mobility-on-Demand Systems Authors: Yi Zhang; Yushen Long; Yun Ni; Liping Huang; Xiaohong Wang; Jun Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Dynamic Hierarchical Optimization; LLM-Optimizer Interaction; Mobility-on-Demand Systems; Meta-Objective Design; Feasibility-Aware Adaptation
3940	How Memory in Optimization Algorithms Implicitly Modifies the Loss Authors: Matias D. Cattaneo; Boris Shigida Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: memory; momentum; implicit bias; implicit regularization; generalization; adaptive methods; Adam; Lion; signum; gradient descent
3941	Hyperparameter Transfer Enables Consistent Gains of Matrix-Preconditioned Optimizers Across Scales Authors: Shikai Qiu; Zixi Chen; Hoang Phan; Qi Lei; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: hyperparameter transfer; second order optimizers; scaling laws
3942	IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization Authors: Zenghui Yang; Xingquan Zuo; Hai Huang; Gang Chen; Xinchao Zhao; Tianle Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adversarial Patch Attack; Evolutionary Algorithms; Irregular Shapes; Multi-Patch Attack; Black-Box Attack
3943	Improved Algorithms for Fair Matroid Submodular Maximization Authors: Sepideh Mahabadi; Sherry Sarkar; Jakub Tarnawski Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: fairness; matroid; submodular function; approximation algorithms
3944	Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning Authors: Yuanyao Chen; Rongsheng Chen; Fu Luo; Zhenkun Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimiztion; Large Language Model; Vehicle Routing Problem
3945	Isotropic Noise in Stochastic and Quantum Convex Optimization Authors: Annie Marsden; Liam O'Carroll; Aaron Sidford; Chenyi Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic convex optimization; quantum convex optimization; cutting plane methods
3946	KOALA++: Efficient Kalman-Based Optimization with Gradient-Covariance Products Authors: Zixuan Xia; Aram Davtyan; Paolo Favaro Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Kalman Filter; Deep Learning
3947	Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression Authors: Jingfeng Wu; Pierre Marion; Peter Bartlett Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: GD; large stepsize; logistic regression; EoS; regularization; acceleration
3948	Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems Authors: Deliang Wei; Peng Chen; Haobo Xu; Jiale Yao; Fang Li; Tieyong Zeng Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Poisson inverse problems; plug-and-play methods; cocoercive conservative; Helmholt decomposition; global convergence
3949	Learning Expandable and Adaptable Representations for Continual Learning Authors: Ruilong Yu; Mingyan Liu; Fei Ye; Adrian G. Bors; Rongyao Hu; Jingling sun; shijie zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Mixture model; Continual Learning
3950	Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling Authors: Jiaqi Wang; Zhiguang Cao; Peng Zhao; Rui Cao; Yubin Xiao; Yuan Jiang; You Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Flexible Job-Shop Scheduling Problem; Graph Neural Network; Reinforcement Learning; Combinatorial Optimization
3951	Learning Provably Improves the Convergence of Gradient Descent Authors: Qingyu Song; Wei Lin; Hong Xu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learn to Optimize; Gradient Descent; Neural Tangent Kernel
3952	Learning from A Single Markovian Trajectory: Optimality and Variance Reduction Authors: Zhenyu Sun; Ermin Wei Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: stochastic optimization; Markov sampling; sample complexity
3953	Learning to Insert for Constructive Neural Vehicle Routing Solver Authors: Fu Luo; Xi Lin; Mengyuan Zhong; Fei Liu; Zhenkun Wang; Jianyong Sun; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vehicle Routing Problem; Insertion-based Construction
3954	Learning with Statistical Equality Constraints Authors: Aneesh Barthakur; Luiz F. O. Chamon Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Machine learning; Constrained optimization; Constrained learning; Fairness; Duality
3955	Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent Authors: Peter Richtárik; Simone Maria Giancola; Dymitr Lubczyk; Robin Yadav Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: convex optimization; adaptive step sizes; gradient methods
3956	MAP Estimation with Denoisers: Convergence Rates and Guarantees Authors: Scott Pesme; Giacomo Meanti; Michael Arbel; Julien Mairal Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: MAP estimation; proximal operator; denoiser model; plug and play methods
3957	MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling Authors: Yuxi Liu; Renjia Deng; Yutong He; Xue Wang; Tao Yao; Kun Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: large language models; memory-efficient fine-tuning; block coordinate descent; importance sampling
3958	MTL-KD: Multi-Task Learning Via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver Authors: Yuepeng Zheng; Fu Luo; Zhenkun Wang; Yaoxin Wu; Yu Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vehicle Routing Problem; Multi-Task Learning
3959	Memory-Augmented Potential Field Theory: A Framework for Adaptive Control in Non-Convex Domains Authors: Dongzhe Zheng; Wenjie Mei Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic optimal control; non-convex landscapes; potential field; model predictive path integral
3960	Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Authors: Tian Gao; Songtao Lu; Junkyu Lee; Elliot Nelson; Debarun Bhattacharjya; Yue Yu; Miao Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: intervention; dynamic; meta learning
3961	Modality-Aware SAM: Sharpness-Aware-Minimization Driven Gradient Modulation for Harmonized Multimodal Learning Authors: Hossein R. Nowdeh; Jie Ji; Xiaolong Ma; Fatemeh Afghah Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Sharpness aware minimization; multimodal learning; VLM
3962	Multiplayer Federated Learning: Reaching Equilibrium with Less Communication Authors: TaeHo Yoon; Sayantan Choudhury; Nicolas Loizou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Learning; Game theory; Multiplayer games; Convergence guarantees; Communication-efficient Algorithms; Local SGD
3963	NPN: Non-Linear Projections of the Null-Space for Imaging Inverse Problems Authors: Roman Jacome; Romario Gualdrón-Hurtado; León Suárez-Rodríguez; Henry Arguello Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Inverse problems; machine learning; computational imaging; optimization.
3964	NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data Authors: Haolong Qian; Xianliang Yang; Ling Zhang; Lei Song; Jiang Bian; Chun Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Models; Combinatorial Optimization; Preference Learning; Process Reward
3965	Natural Gradient VI: Guarantees for Non-Conjugate Models Authors: Fangyuan Sun; Ilyas Fatkhullin; Niao He Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Variational inference; natural gradient; mirror descent; non-convex optimization
3966	Neural Collapse under Gradient Flow on Shallow ReLU Networks for Orthogonally Separable Data Authors: Hancheng Min; Zhihui Zhu; Rene Vidal Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Collapse; Gradient Flow; Implicit Bias; Two-layer ReLU Network
3967	Neural Combinatorial Optimization for Time-Dependent Traveling Salesman Problem Authors: Ruixiao Yang; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Time-Dependent Routing; Neural Combinatorial Optimization; Traveling Salesman Problem; Deep Reinforcement Learning
3968	Neural Evolution Strategy for Black-box Pareto Set Learning Authors: Chengyu LU; Zhenhua Li; Xi Lin; Ji Cheng; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: evolution strategy; multi-objective optimization; black-box optimization; pareto set learning
3969	New Parallel and Streaming Algorithms for Directed Densest Subgraph Authors: Slobodan Mitrović; Theodore Pan; Mahdi Qaempanah; Mohammad Amin Raeisi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: semi-streaming; massively parallel computation; directed densest subgraph; approximation algorithms
3970	New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results Authors: Francesco Orabona; Ryan D'Orazio Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex Optimization; Stochastic Optimization
3971	Non-Convex Tensor Recovery from Tube-Wise Sensing Authors: Tongle Wu; Ying Sun Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Tensor compressive sensing; non-convex; sample complexity
3972	Non-convex entropic mean-field optimization via Best Response flow Authors: Razvan-Andrei Lascu; Mateusz B. Majka Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Entropy regularization; Non-convex optimization; Best Response flow; $L^1$-Wasserstein contraction; Reinforcement learning; Markov Decision Process
3973	Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis Authors: Konstantinos Oikonomidis; Jan Quan; Panagiotis Patrinos Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: nonconvex optimization; generalized smoothness; first-order methods
3974	On the $O(\frac{\sqrt{d}}{K^{1/4}})$ Convergence Rate of AdamW Measured by $\ell_1$ Norm Authors: Huan Li; Yiming Dong; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: AdamW; Adam; convergence analysis; nonconvex optimization
3975	On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization Authors: Jincheng Cao; Ruichen Jiang; Erfan Yazdandoost Hamedani; Aryan Mokhtari Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; nonconvex optimization
3976	On the Convergence of Stochastic Smoothed Multi-Level Compositional Gradient Descent Ascent Authors: Xinwen Zhang; Hongchang Gao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Compositional Optimization; Minimax Optimization
3977	Online Multi-Class Selection with Group Fairness Guarantee Authors: Faraz Zargari; Hossein Nekouyan Jazi; Lyndon Hallett; Bo Sun; Xiaoqi Tan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Online Selection; Group Fairness; Randomized Rounding; Learning-Augmented Algorithms
3978	Online Portfolio Selection with ML Predictions Authors: Ziliang Zhang; Tianming Zhao; Albert Zomaya Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Universal Portfolio; Algorithms with Predictions; Learning-augmented Algorithms
3979	Online Two-Stage Submodular Maximization Authors: Iasonas Nikolaou; Miltiadis Stouras; Stratis Ioannidis; Evimaria Terzi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: online; two-stage; submodular maximization; recommender systems; data summarization
3980	Opinion Maximization in Social Networks by Modifying Internal Opinions Authors: Gengyu Wang; Runze Zhang; Zhongzhi Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Opinion dynamics; social network; multi-agent system; graph algorithm
3981	Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality Authors: Yu-Hu Yan; Peng Zhao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: offline optimization; convex optimization; online-to-batch conversion; acceleration
3982	Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning Authors: RUIYAO MIAO; Junren Xiao; Shiya Tsang; Hui Xiong; Ying Nian Wu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Black Box Optimization; Bayesian Optimization; Energy-Based Model; Reinforcement Learning
3983	PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs Authors: Hanzhen Zhao; Shihong Ding; Cong Fang; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: zeroth-order optimization; fine-tuning LLMs; preconditioner
3984	Partial Correlation Network Estimation by Semismooth Newton Methods Authors: DongWon Kim; Sungdong Lee; Joong-Ho Won Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: graphical model selection; semismooth Newton methods; parallel algorithm; global convergence; $\ell_1$-regularization; convex optimization
3985	Perturbation Bounds for Low-Rank Inverse Approximations under Noise Authors: Phuc Tran; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Low-rank approximation; Pseudoinverse; Robustness Numerical linear algebra; Noisy matrices
3986	Predictability Enables Parallelization of Nonlinear State Space Models Authors: Xavier Gonzalez; Leo Kozachkov; David M. Zoltowski; Kenneth L. Clarkson; Scott Linderman Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: dynamical systems; optimization; largest Lyapunov exponent; contraction analysis; RNNs; Newton's method; Parallel algorithms; Scalability; Numerical Stability;…
3987	Preference Optimization on Pareto Sets: On a Theory of Multi-Objective Optimization Authors: Abhishek Roy; Geelon So; Yian Ma Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: multi-objective optimization; Pareto set; non-asymptotic convergence; preference function
3988	Problem-Parameter-Free Decentralized Bilevel Optimization Authors: Zhiwei Zhai; Wenjing Yan; Ying-Jun Angela Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decentralized bilevel optimization; problem-parameter-free; adaptive stepsizes; single-loop
3989	Purity Law for Neural Routing Problem Solvers with Enhanced Generalizability Authors: Wenzhao Liu; Haoran Li; Congying Han; Zicheng Zhang; Anqi Li; Tiande Guo Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Routing Problem; Generalization; Universal Structural Principle; Policy Optimization
3990	Quantum Speedups for Minimax Optimization and Beyond Authors: Chengchang Liu; Zongqi Wan; Jialin Zhang; Xiaoming Sun; John C.S. Lui Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: minimax optimization; quantum computing
3991	Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights Authors: Alina Ene; Ta Duy Nguyen; Adrian Vladu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Convex optimization; Quasi-Self-Concordant Optimization
3992	Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator Authors: Shuchang Zhang; Yaoyun Zeng; Kangkang Deng; Hongxia Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Plug-and-Play prior; Regularization by Denoising; Pseudo-contractive denoiser; Image restoration
3993	Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees Authors: Fu Luo; Yaoxin Wu; Zhi Zheng; Zhenkun Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Vehicle Routing Problem; Constraint Tightness
3994	Revisiting 1-peer exponential graph for enhancing decentralized learning efficiency Authors: Kenta Niwa; Yuki Takezawa; Guoqiang Zhang; W. Bastiaan Kleijn Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decentralized learning; network topology; dynamic graph; finite-time convergence; spectral gap
3995	Revisiting Consensus Error: A Fine-grained Analysis of Local SGD under Second-order Data Heterogeneity Authors: Kumar Kshitij Patel; Ali Zindari; Sebastian U Stich; Lingxiao Wang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Averaging; Local SGD; Convergence Analysis; Communication Complexity; Data Heterogeneity
3996	Revisiting Frank-Wolfe for Structured Nonconvex Optimization Authors: Hoomaan Maskan; Yikun Hou; Suvrit Sra; Alp Yurtsever Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Frank-Wolfe; nonconvex optimization; difference of convex; gradient sliding
3997	Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency Authors: Peng Chen; Hailiang Zhao; Jiaji Zhang; Xueyan Tang; Yixuan Wang; Shuiguang Deng Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning-augmented Algorithms; Paging; Caching; Robustness; Consistency
3998	Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf’s Law Authors: Frederik Kunstner; Francis Bach Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: scaling law; optimization; gradient descent; sign descent; bigram model; high dimension; power-law; zipf's law
3999	Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits Authors: Abdurakhmon Sadiev; Peter Richtárik; Ilyas Fatkhullin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: hessian clipping; gradient clipping; optimal complexity; stochastic; second-order optimization; heavy tailed noise; normalization
4000	Semi-infinite Nonconvex Constrained Min-Max Optimization Authors: Cody Melcher; Zeinab Alizadeh; Lindsey Hiett; Afrooz Jalilzadeh; Erfan Yazdandoost Hamedani Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Semi-infinite Programming; Nonconvex Constrained Optimization; Min-Max Optimization
4001	Sketched Adaptive Distributed Deep Learning: A Sharp Convergence Analysis Authors: Zhijie Chen; Qiaobo Li; Arindam Banerjee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Distributed Learning; Communication Efficiency
4002	Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints Authors: Hyungki Im; Wyame Benslimane; Paul Grigas Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: decision-focused learning; contextual stochastic optimization; robust optimization
4003	Solver-Free Decision-Focused Learning for Linear Optimization Problems Authors: Senne Berden; Ali İrfan Mahmutoğulları; Dimos Tsouros; Tias Guns Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Decision-Focused Learning; Predict-then-Optimize; Contextual Optimization; Linear Programming
4004	Solver-Informed RL: Grounding Large Language Models for Authentic Optimization Modeling Authors: Yitian Chen; Jingfan Xia; Siyu Shao; Dongdong Ge; Yinyu Ye Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Optimization Problem Formulation; Problem Definition; Foundation Model
4005	Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization Authors: Weiming Liu; Xinting Liao; Jun Dan; Fan Wang; Hua Yu; Junhao Dong; Shunjie Dong; Lianyong Qi; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Discrete Semi-Unbalanced Optimal Transport; Domain Adaptation with Applications
4006	Solving the Asymmetric Traveling Salesman Problem via Trace-Guided Cost Augmentation Authors: Zhen Zhang; Javen Qinfeng Shi; Wee Sun Lee Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: TSP; Combinatorial Optimization
4007	Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Authors: Yong Liu; Zirui Zhu; Chaoyu Gong; Minhao Cheng; Cho-Jui Hsieh; Yang You Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Zeroth-Order Optimization; Parameter-Efficient Fine Tuning
4008	Sparse Polyak: an adaptive step size rule for high-dimensional M-estimation Authors: Tianqi Qiao; Marie Maros Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: high-dimensional statistics; non-convex optimization; adaptive step size
4009	Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes Authors: WEI-KAI CHANG; Rajiv Khanna Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Coreset Selection; Loss Landscape; Smoothed Loss; Training Efficiency; Robust Optimization
4010	Stochastic Gradients under Nuisances Authors: Facheng Yu; Ronak Mehta; Alex Luedtke; Zaid Harchaoui Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Stochastic gradient; orthogonal statistical learning; nonparametric statistics
4011	Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization Authors: Xingyu Chen; Bokun Wang; Ming Yang; Qihang Lin; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: finite-sum coupled compositional optimization; non-convex constrained optimization
4012	Streaming Federated Learning with Markovian Data Authors: Tan-Khiem HUYNH; Malcolm Egan; Giovanni Neglia; Jean-Marie Gorce Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization - Non-convex; Federated Learning; Markovian Processes; Stochastic Approximation
4013	Streaming Stochastic Submodular Maximization with On-Demand User Requests Authors: Honglian Wang; Sijing Tu; Lutz Oettershagen; Aristides Gionis Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Streaming; Submodular Maximization; Stochastic Algorithms; Coverage; User Request
4014	TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks Authors: Xiang Meng; Mehdi Makni; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: large language models; network pruning; N:M sparsity; optimization; entropy regularization; optimal transport
4015	Targeted Maximum Likelihood Learning: An Optimization Perspective Authors: Diyang Li; Kyra Gan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Targeted MLE; Iterative Optimization; Semi-parametric Learning
4016	The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Authors: Haixiang Lan; Luofeng Liao; Adam N. Elmachtoub; Christian Kroer; Henry Lam; Haofeng Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Data-driven optimization; model misspecification; local asymptotic analysis; contiguity theory; bias-variance tradeoff
4017	The Rich and the Simple: On the Implicit Bias of Adam and SGD Authors: Bhavya Vasudeva; Jung Whan Lee; Vatsal Sharan; Mahdi Soltanolkotabi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: adam; sgd; implicit bias; simplicity bias
4018	Theoretical Investigation of Adafactor for Non-Convex Smooth Optimization Authors: Yusu Hong; Junhong Lin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Adafactor; stochastic optimization; non-convex smooth optimization; convergence rate
4019	Tight High-Probability Bounds for Nonconvex Heavy-Tailed Scenario under Weaker Assumptions Authors: Weixin An; Yuanyuan Liu; Fanhua Shang; Han Yu; Junkang Liu; Hongying Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: weaker assumptions; heavy-tailed noise; (L_0; L_1)-smoothness; optimization; generalization
4020	Tight Lower Bounds and Improved Convergence in Performative Prediction Authors: Pedram Khorsandi; Rushil Gupta; Mehrnaz Mofakhami; Simon Lacoste-Julien; Gauthier Gidel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Performative Prediction; Optimization; Strategic Classification
4021	Tight analyses of first-order methods with error feedback Authors: Daniel Berg Thomsen; Adrien Taylor; Aymeric Dieuleveut Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributed optimization; distributed learning; error feedback; EF; EF21; tight analysis; performance estimation; convex optimization; large-scale machine lear…
4022	Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling Authors: Inguk Choi; Woo-Jin Shin; Sanghyun Cho; Hyun-Jung Kim Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Job Scheduling Problems; Multi-Policy Optimization
4023	Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Authors: Dandan Liang; Jianing Zhang; Evan Chen; Zhe Li; Rui Li; Haibo Yang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Split Federated Learning; Unbalanced Updates; Zeroth-Order Optimization; Communication Efficiency
4024	Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback Authors: Jing Dong; Baoxiang Wang; Yaoliang Yu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Game theory; online learning
4025	Understanding Data Influence in Reinforcement Finetuning Authors: Haoru Tan; Xiuzhe Wu; Sitong Wu; Shaofeng Zhang; Yanfeng Chen; Xingwu Sun; Jeanne Shen; XIAOJUAN QI Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Reinforcement Fine-Tuning; Large Language Models; Data-centric AI
4026	Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration Authors: Ahmed Khaled; Satyen Kale; Arthur Douillard; Chi Jin; Rob Fergus; Manzil Zaheer Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: communication-efficient optimization; local sgd; stochastic optimization; distributed optimization
4027	Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization Authors: Mohammad Pedramfar; Christopher John Quinn; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: DR-submodular Optimization; Convex Optimization
4028	Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise Authors: Haocheng Luo; Mehrtash Harandi; Dinh Phung; Trung Le Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; Sharpness-aware Minimization; Stochastic Differential Equations
4029	When majority rules, minority loses: bias amplification of gradient descent Authors: François Bachoc; Jerome Bolte; Ryan Boustany; Jean-Michel Loubes Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bias; fairness training; gradient descent; unbalanced learning
4030	Zeroth-Order Optimization Finds Flat Minima Authors: Liang Zhang; Bingcong Li; Kiran Koshy Thekumparampil; Sewoong Oh; Michael Muehlebach; Niao He Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Zeroth-order optimization; Convex optimization; Implicit regularization; Flat minima
4031	$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning Authors: Simone Ricci; Niccolò Biondi; Federico Pernici; Ioannis Patras; Alberto Del Bimbo Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Deep Learning; Representation Learning; Compatible Learning
4032	70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11) Authors: Tianyi Zhang; Mohsen Hariri; Shaochen Zhong; Vipin Chaudhary; Yang Sui; Xia Hu; Anshumali Shrivastava Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Compression; Lossless Compression; LLM; Efficiency; Diffusion Models
4033	An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models Authors: Bo Peng; Jie Lu; Guangquan Zhang; Zhen Fang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Out-of-distribution Detection; Pretrained Vision-Language Models; Point-wise Mutual Information
4034	Analog Foundation Models Authors: Julian Büchel; Iason Chalas; Giovanni Acampa; An Chen; Omobayode Fagbohungbe; Hsinyu Tsai; Kaoutar El Maghraoui; Manuel Le Gallo; Abbas Rahimi; Abu Sebastian Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: analog in-memory computing; robustness; large language models; foundation models
4035	Anchor-based Maximum Discrepancy for Relative Similarity Testing Authors: Zhijian Zhou; Liuhua Peng; Xunye Tian; Feng Liu Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: relative similarity testing; kernel-based hypothesis testing; deep kernel
4036	Backdoor Mitigation via Invertible Pruning Masks Authors: Kealan Dunnett; Reza Arablouei; Volkan Dedeoglu; Dimity Miller; Raja Jurdak Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: backdoor attack; backdoor mitigation; model pruning; adversarial machine learning; machine learning security
4037	Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation Authors: Mingyang Liu; Xinyang Chen; Xiucheng Li; Weili Guan; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: time series; domain adaptation; implicit temporal dynamics
4038	DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing Authors: Zhijian Zhou; Xunye Tian; Liuhua Peng; Chao Lei; Antonin Schrab; Danica J. Sutherland; Feng Liu Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: two-sample testing; independence testing; diverse kernels; aggregated U-statistic
4039	DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition Authors: Donghao Luo; Xue Wang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Time series forecasting; Time series enhancement framework; Time series decomposition; Deep learning
4040	Diffusion-Guided Graph Data Augmentation Authors: Maria Marrium; Arif Mahmood; Muhammad Haris Khan; M. Saad Shakeel; Wenxiong Kang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: diffusion based graph data augmentation; node classification; link prediction; graph classification
4041	DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Authors: Wenyao Zhang; Hongsi Liu; Zekun Qi; Yunnan Wang; XinQiang Yu; Jiazhao Zhang; Runpei Dong; Jiawei He; He Wang; Zhizheng Zhang; Li Yi; Wenjun Zeng; Xin Jin Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Vision language action models; comprehensive knowledge forecasting; robot learning
4042	Enhancing Privacy in Multimodal Federated Learning with Information Theory Authors: Tianzhe Xiao; Yichen Li; Yining Qi; YI LIU; wangshi.ww; Haozhao Wang; Yi Wang; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Learning; Multimodal Learning; Privacy Protection; Information Theory
4043	Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth Authors: Yichi Zhang; Jinlong Pang; Zhaowei Zhu; Yang Liu Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: LLM-contamination; crowdsourcing; peer prediction; data evaluation
4044	Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning Authors: Yichen Li; Xiuying Wang; Wenchao Xu; Haozhao Wang; Yining Qi; Jiahua Dong; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Learning; Model-Heterogeneity
4045	FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning Authors: Fan Wu; Xinyu Yan; Jiabei Liu; Wei Yang Bryan Lim Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Learning; Multi-Task Learning
4046	Flick: Empowering Federated Learning with Commonsense Knowledge Authors: Ran Zhu; Mingkun Yang; Shiqiang Wang; Jie Yang; Qing Wang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Learning; Data Heterogeneity
4047	From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review Authors: Yaohui Zhang; Haijing ZHANG; Wenlong Ji; Tianyu Hua; Nick Haber; Hancheng Cao; Weixin Liang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Large Language Models; Peer Review Redesign; Comparative Paper Evaluation
4048	From Sequence to Structure: Uncovering Substructure Reasoning in Transformers Authors: Xinnan Dai; Kai Yang; Jay Revolinsky; Kai Guo; Aoran Wang; Bohang Zhang; Jiliang Tang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: LLMs for graph reasoning; interpretation for Transformers
4049	GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents Authors: Yuqi Zhou; Sunhao Dai; Shuai Wang; Kaiwen Zhou; Qinglin Jia; Jun Xu Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: R1-Zero-Like Training; GUI Agents; Grounding
4050	Generating and Checking DNN Verification Proofs Authors: Hai Duong; ThanhVu Nguyen; Matthew B. Dwyer Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: DNN Verification; Proof Generation; Proof Format
4051	IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs Authors: Zhaoqun Li; Beishui Liao; Qiwei Ye Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Olympiad Inequality Proving; Neuro-Symbolic Method
4052	ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model Authors: Sagnik Bhattacharya; Abhiram Rao Gorle; Ahsan Bilal; Connor Ding; Amit Kumar Singh Yadav; Tsachy Weissman Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: poisson diffusion; information-theoretic framework; discrete modeling; negative log likelihood
4053	Learning Shared Representations from Unpaired Data Authors: Amitai Yacobi; Nir Ben-Ari; Ronen Talmon; Uri Shaham Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Multimodal Learning; Unpaired data; Spectral Embedding; universal embedding
4054	MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction Authors: Xuhui Chen; Fei Hou; Wencheng Wang; Hong Qin; Ying He Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Unsigned distance fields; neural implicit field; zero-level sets; non-manifold surface reconstruction; material interfaces
4055	Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers Authors: Jiacheng You; Xinyang Chen; Yu Sun; Weili Guan; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: data imputation; time series; inductive bias; non-stationarity; periodicity
4056	Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming Authors: Yinxu Tang; Stylianos Loukas Vasileiou; Vincent Derkinderen; William Yeoh Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: model reconciliation; probabilistic logic programming; most probable explanations (MPE)
4057	Monotone and Separable Set Functions: Characterizations and Neural Models Authors: SOUTRIK SARANGI; Yonatan Sverdlov; Nadav Dym; Abir De Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: DeepSets; Monotone functions; Data Retrieval; separability
4058	More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation Authors: Derui Zhu; Dingfan Chen; jinfu chen; Jens Grossklags; Walter Pretschner; Weiyi Shang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Code Generation; Performance; Software Engineering; AI4SE
4059	Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation Authors: Leqi Zheng; Chaokun Wang; Zixin Song; Cheng Wu; Shannan Yan; Jiajun Zhang; Ziyang Liu Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Recommender Systems; Graph Contrastive Learning; Negative Feedback
4060	On Reasoning Strength Planning in Large Reasoning Models Authors: Leheng Sheng; An Zhang; Zijian Wu; Weixiang Zhao; Changshuo Shen; Yi Zhang; Xiang Wang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Large reasoning models; mechanism explanation; reasoning strength; activation steering
4061	On the creation of narrow AI: hierarchy and nonlocality of neural network skills Authors: Eric J Michaud; Asher Parker-Sartori; Max Tegmark Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: safety; mechanistic interpretability; theory; curriculum learning; pruning; connectionism; unlearning
4062	One Filters All: A Generalist Filter For State Estimation Authors: Shiqi Liu; Wenhan Cao; Chang Liu; Zeyu He; Tianyi Zhang; Yinuo Wang; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: State Estimation; Large Language Model; Bayesian Filtering
4063	OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling Authors: Haoyang Liu; Jie Wang; Yuyang Cai; Xiongwei Han; Yufei Kuang; Jianye HAO Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Optimization Modeling; Operations research; Large language models
4064	Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search Authors: Sebastian Bruch; Aditya Krishnan; Franco Maria Nardini Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: maximum inner product search; clustering-based nearest neighbor search; query routing; sketching; optimism principle
4065	Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation Authors: Xiao Cui; Yulei Qin; Wengang Zhou; Hongsheng Li; Houqiang Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Dataset Distillation; Optimal Transport
4066	R$^2$ec: Towards Large Recommender Models with Reasoning Authors: Runyang You; Yongqi Li; Xinyu Lin; Xin Zhang; Wenjie Wang; Wenjie Li; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Generative Recommendation; LLM-based Recommendation
4067	RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards Authors: Jingnan Zheng; Xiangtian Ji; Yijun Lu; Chenhang Cui; Weixiang Zhao; Gelei Deng; Zhenkai Liang; An Zhang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: large language model; safety; moderation
4068	Resource-Constrained Federated Continual Learning: What Does Matter? Authors: Yichen Li; Yuying Wang; Jiahua Dong; Haozhao Wang; Yining Qi; Rui Zhang; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Continual Learning; Federated Learning
4069	Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits Authors: Md Mobasshir Arshed Naved; Wenbo Xie; Wojciech Szpankowski; Ananth Grama Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Quantum Machine Learning; Parameter Learning; Quantum Circuits; Noise Mitigation; Pauli Noise; Integrated Learning; Inverse Noise learning; Pauli-Lindblad equa…
4070	SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts Authors: Haoyuan Liang; Shilei Cao; Guowen Li; Zhiyu Ye; Haohuan Fu; Juepeng Zheng Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Federated Learning， Domain Shift， Category Shift
4071	Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens Authors: Samuele Bortolotti; Emanuele Marconato; Paolo Morettin; Andrea Passerini; Stefano Teso Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Concept-based models; Neuro-Symbolic AI; Identifiability; Shortcuts
4072	Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array Authors: Qinghong Ye; Yiqian Chang; Jianing Li; Haoran Xu; Xuan Wang; Wei Zhang; Yonghong Tian; Peixi Peng Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: High-speed scene; Novel view synthesis; Multiple views; Spike camera
4073	SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding Authors: Malyaban Bal; Brian Matejek; Susmit Jha; Adam D. Cobb Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Spiking Neural Networks; Efficient AI
4074	Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions Authors: Shubo Li; Yizhe Ding; Lingzhou Xue; Runze Li Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: optimal transport; sieve estimation
4075	TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE Authors: Yifeng Peng; Xinyi Li; Samuel Yen-Chi Chen; Kaining Zhang; Zhiding Liang; Ying Wang; Yuxuan Du Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Barren Plateau; Variational Quantum Algorithms; Circuit Optimization; Measurement Overhead; VQE; Parameter Freezing
4076	The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches Authors: Omri Lev; Vishwak Srinivasan; Moshe Shenfeld; Katrina Ligett; Ayush Sekhari; Ashia C. Wilson Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Differential Privacy; Renyi Divergence; Sketching; Private Linear Regression
4077	Think before Recommendation: Autonomous Reasoning-enhanced Recommender Authors: Xiaoyu Kong; Junguang Jiang; Bin Liu; Ziru Xu; Han Zhu; Jian Xu; Bo Zheng; Jiancan Wu; Xiang Wang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Recommendation; Large Language Models; Reinforcement Learning; Rating Prediction
4078	Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models Authors: Hongqiong Zhong; Qingyang Teng; Baolin Zheng; Guanlin Chen; Yingshui Tan; Zhendong Liu; Jiaheng Liu; Wenbo Su; Xiaoyong Zhu; Bo Zheng; Kaifu Zhang Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: jailbreak attack; large visual language models; visual thoughts
4079	Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree Authors: Xingbo Du; Ruizhe Zhong; Junchi Yan Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: rectilinear Steiner minimum tree; Obstacle-avoiding rectilinear Steiner minimum tree; reinforcement learning; end-to-end
4080	VLMLight: Safety-Critical Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning Architecture Authors: Maonan Wang; Yirong Chen; Aoyu Pang; Yuxin Cai; Chung Shue Chen; Yuheng KAN; Man On Pun Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: traffic signal control; urban systems; multimodal language model
4081	ViSPLA: Visual Iterative Self-Prompting for Language-Guided 3D Affordance Learning Authors: Hritam Basak; Zhaozheng Yin Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: Robotics; Affordance Estimation; Vision-language Model
4082	What Does It Take to Build a Performant Selective Classifier? Authors: Stephan Rabanser; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: other Recognition: Poster/Regular Keywords: selective prediction; selective classification; calibration; ranking; abstention; rejection; uncertainty quantification
4083	$\text{G}^2\text{M}$: A Generalized Gaussian Mirror Method to Boost Feature Selection Power Authors: Hongyu Shen; Zhizhen Zhao Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Feature Selection; FDR Control; Hypothesis Testing; Gaussian Mirror; Boosting Power
4084	A Black-Box Debiasing Framework for Conditional Sampling Authors: Han Cui; Jingbo Liu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conditional sampling; Bayesian Inference; Posterior Approximation; Bias Correction
4085	A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference Authors: Harsh Parikh; Trang Quynh Nguyen; Elizabeth Stuart; Kara E. Rudolph; Caleb H Miles Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal inference; data integration; semiparametric statistics; double robustness
4086	A Counterfactual Semantics for Hybrid Dynamical Systems Authors: Andy Zane; Dmitry Batenkov; Rafal Urbaniak; Jeremy D Zucker; Sam Witty Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: counterfactual; causal; hybrid dynamical systems; differential equations; intervention; twin world
4087	A Hierarchy of Graphical Models for Counterfactual Inferences Authors: Hongshuo Yang; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Graphical Models; Causal Inference; do-calculus; counterfactual-calculus; Bayesian Networks; Causal Bayesian Networks; Counterfactual Bayesian Networks
4088	A Latent Multilayer Graphical Model For Complex, Interdependent Systems Authors: Martin Ondrus; Ivor Cribben; Yang Feng Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: multilayer networks; neuroimaging; graphical models; latent models; graph learning
4089	A Unified Framework for the Transportability of Population-Level Causal Measures Authors: Ahmed BOUGHDIRI; Clément Berenfeld; Julie Josse; Erwan Scornet Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal inference; Generalisation; Causal measure
4090	Abstract Counterfactuals for Language Model Agents Authors: Edoardo Pona; Milad Kazemi; Yali Du; David Watson; Nicola Paoletti Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal inference; counterfactual inference; language models; agents; causality; interpretability
4091	Accelerating Feature Conformal Prediction via Taylor Approximation Authors: Zihao Tang; Boyuan Wang; Chuan Wen; Jiaye Teng Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conformal prediction; Taylor; fast; feature; uncertainty; deep learning; representation
4092	Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls Authors: Qinwei Yang; Jingyi Li; Peng Wu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Adaptive Selection; Causal Inference; Data Fusion; Efficiency Improvement
4093	Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs Authors: Richard Cornelius Suwandi; Feng Yin; Juntao Wang; Renjie Li; Tsung-Hui Chang; Sergios Theodoridis Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Kernel design; Gaussian processes; Bayesian optimization; large language models
4094	Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation Authors: Matteo Ceriscioli; Karthika Mohan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causality; POMDP; Multi-agent systems
4095	Amortized Active Generation of Pareto Sets Authors: Daniel M. Steinberg; Asiri Wijesinghe; Rafael Oliveira; Piotr Koniusz; Cheng Soon Ong; Edwin V. Bonilla Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: multi-objective optimization; multi-objective generation; black-box optimization; guided generation; multi-objective Bayesian optimization; discrete optimizati…
4096	Asymptotically exact variational flows via involutive MCMC kernels Authors: Zuheng Xu; Trevor Campbell Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian; variational inference; MCMC; convergence
4097	Bayesian Concept Bottleneck Models with LLM Priors Authors: Jean Feng; Avni Kothari; Lucas Zier; Chandan Singh; Yan Shuo Tan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian inference; concept bottleneck models; explainable AI; large language models
4098	Beyond the Average: Distributional Causal Inference under Imperfect Compliance Authors: Undral Byambadalai; Tomu Hirata; Tatsushi Oka; Shota Yasui Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: distributional treatment effects; causal inference; instrumental variables; semiparametric estimation
4099	Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation Authors: Maximilian Egger; Rawad Bitar; Antonia Wachter-Zeh; Nir Weinberger; Deniz Gunduz Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Communication-efficiency; Importance sampling; Minimal Random Coding; Stochastic federated learning
4100	Brain-like Variational Inference Authors: Hadi Vafaii; Dekel Galor; Jacob L. Yates Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: variational inference; free energy; ELBO; sparse coding; predictive coding; iterative inference; VAE
4101	C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models Authors: Amir Hossein Rahmati; Sanket Jantre; Weifeng Zhang; Yucheng Wang; Byung-Jun Yoon; Nathan Urban; Xiaoning Qian Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Low-rank Adaptation; Uncertainty Quantification; Probabilistic Modeling
4102	Causal Discovery over Clusters of Variables in Markovian Systems Authors: Tara Vafai Anand; Adèle H. Ribeiro; Jin Tian; George Hripcsak; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Inference
4103	Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors Authors: Wen Dong Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: PAC-Bayes generalization; Data-dependent bounds; Bayesian neural networks; Adversarial robustness; Model calibration; Trustworthy AI
4104	Channel Simulation and Distributed Compression with Ensemble Rejection Sampling Authors: Buu Phan; Ashish J Khisti Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Channel Simmulation; Distributed Compression; Probabilistic Method
4105	Characterization and Learning of Causal Graphs from Hard Interventions Authors: Zihan Zhou; Muhammad Qasim Elahi; Murat Kocaoglu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Markov Equivalence Class; Bayesian Network; Causal Discovery
4106	Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks Authors: Roberto Gheda; Abele Mălan; Thiago Guzella; Carlo Lancia; Robert Birke; Lydia Y. Chen Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian Networks; Collaboration; Secure Multi-Party Computation
4107	Conformal Prediction Beyond the Seen: A Missing Mass Perspective for Uncertainty Quantification in Generative Models Authors: Sima Noorani; Shayan Kiyani; George J. Pappas; Hamed Hassani Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conformal prediction; Uncertainty quantification
4108	Conformal Prediction for Causal Effects of Continuous Treatments Authors: Maresa Schröder; Dennis Frauen; Jonas Schweisthal; Konstantin Hess; Valentyn Melnychuk; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causality; dosage response curves; conformal prediction; uncertainty quantification
4109	Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation Authors: Yash Patel; Eduardo Ochoa Rivera; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: uncertainty quantification; conformal prediction; conformal aggregation; ensembling
4110	Conformal Prediction for Time-series Forecasting with Change Points Authors: Sophia Huiwen Sun; Rose Yu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conformal prediction; time series; uncertainty quantification
4111	Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations Authors: Liviu Aolaritei; Qianyu Julie Zhu; Zheyu Oliver Wang; Michael I. Jordan; Youssef Marzouk Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conformal prediction; distribution shifts; optimal transport
4112	Conformal Risk Training: End-to-End Optimization of Conformal Risk Control Authors: Christopher Yeh; Nicolas Christianson; Adam Wierman; Yisong Yue Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conformal risk control; decision-focused learning; conditional value-at-risk; CVAR
4113	Confounding Robust Deep Reinforcement Learning: A Causal Approach Authors: Mingxuan Li; Junzhe Zhang; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Inference; Reinforcement Learning; Deep Learning
4114	Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning Authors: Reuben Dorent; Polina Golland; William M Wells Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: mutual information; f-divergence; joint range; representation learning
4115	Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective Authors: Emmanuel Anaya Gonzalez; Sairam Vaidya; Kanghee Park; Ruyi Ji; Taylor Berg-Kirkpatrick; Loris D'Antoni Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Language Models; Context-Free Grammars; Markov Chain Monte Carlo
4116	Counterfactual Image Editing with Disentangled Causal Latent Space Authors: Yushu Pan; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Inference; Generative model; Causal representation learning; Image editing
4117	Counterfactual Implicit Feedback Modeling Authors: Chuan Zhou; Lina Yao; Haoxuan Li; Mingming Gong Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Implicit Feedback; Recommendation System; Counterfactual Estimation; Missing Treatment
4118	Coupling Generative Modeling and an Autoencoder with the Causal Bridge Authors: Ruolin Meng; Ming-Yu Chung; Dhanajit Brahma; Ricardo Henao; Lawrence Carin Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Effect Estimation; Proxy Causal Learning; Causal Bridge
4119	Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Authors: Natalie Maus; Kyurae Kim; Yimeng Zeng; Haydn Thomas Jones; Fangping Wan; Marcelo Der Torossian Torres; Cesar de la Fuente-Nunez; Jacob R. Gardner Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian optimization; coverage optimization; high-dimensional black-box optimization; multi-objective Bayesian optimization; drug design
4120	Curious Causality-Seeking Agents in Open-ended Worlds Authors: Zhiyu Zhao; Haoxuan Li; Haifeng Zhang; Jun Wang; Francesco Faccio; Jürgen Schmidhuber; Mengyue Yang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causality; World Model
4121	DSCS: Fast CPDAG-Based Verification of Collapsible Submodels in High-Dimensional Bayesian Networks Authors: Wentao Wu; Shiyuan He; Jianhua Guo Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: directed acyclic graph; Bayesian network; Markov equivalence class; estimation-collapsibility; completed partially directed acyclic graph
4122	Data Fusion for Partial Identification of Causal Effects Authors: Quinn Lanners; Cynthia Rudin; Alexander Volfovsky; Harsh Parikh Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal inference; partial identification; data fusion; double machine learning; double robustness; causality
4123	Data-Adaptive Exposure Thresholds under Network Interference Authors: Vydhourie Thiyageswaran; Tyler McCormick; Jennifer Rogers Brennan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Network Interference; Experimentation; Causal Inference; Average Treatment Effect
4124	Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery Authors: Zekun Wang; Ethan Haarer; Tianyi Zhu; Zhiyi Dai; Christopher J. MacLellan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: unsupervised learning; hierarchical clustering; representation learning; latent variable models; prototype discovery
4125	Density Ratio-Free Doubly Robust Proxy Causal Learning Authors: Bariscan Bozkurt; Houssam Zenati; Dimitri Meunier; Liyuan Xu; Arthur Gretton Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Proxy causal learning; doubly robust estimation; kernel mean embeddings
4126	Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference Authors: Zichen Wang; Haoyang Hong; Chuanhao Li; Haoxuan Li; Zhiheng Zhang; Huazheng Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal inference; Adversarial bandits; Network interference
4127	Differentiable Constraint-Based Causal Discovery Authors: Jincheng Zhou; Mengbo Wang; Anqi He; Yumeng Zhou; Hessam Olya; Murat Kocaoglu; Bruno Ribeiro Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Discovery; Constraint-based; d-Separation; Continuous optimization; Structure learning
4128	Differentiable Structure Learning and Causal Discovery for General Binary Data Authors: Chang Deng; Bryon Aragam Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: differentiable structure learning; causal discovery; discrete data; binary data; DAG
4129	Discrete Neural Flow Samplers with Locally Equivariant Transformer Authors: Zijing Ou; Ruixiang ZHANG; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: discrete diffusion models; discrete energy-based models; sampling
4130	Disentangling misreporting from genuine adaptation in strategic settings: a causal approach Authors: Dylan Zapzalka; Trenton Chang; Lindsay Warrenburg; Sae-Hwan Park; Daniel K Shenfeld; Ravi B Parikh; Jenna Wiens; Maggie Makar Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Inference; Machine Learning; Strategic Adaptation; Misreporting
4131	Distance-informed Neural Processes Authors: Aishwarya Venkataramanan; Joachim Denzler Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: neural processes; Bi-Lipschitz regularization; Uncertainty estimation; uncertainty calibration; Out-of-distribution (OOD) detection; gaussian processes; stocha…
4132	Distributed mediation analysis with communication efficiency Authors: Shaomin Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Distributed inference; mediation analysis; indirect causal effects; communication efficiency
4133	Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability Authors: Hoang-Son Nguyen; Xiao Fu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: identifiability; Jacobian; component analysis; nonlinear mixture
4134	Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the Role of Model Complexity Authors: Mouin Ben Ammar; David Brellmann; Arturo Mendoza; Antoine Manzanera; Gianni Franchi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: OOD; Uncertainty quantification; Double descent.
4135	Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings Authors: Houssam Zenati; Bariscan Bozkurt; Arthur Gretton Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: off-policy evaluation; causal inference; doubly robust; kernel mean embeddings; kernel two sample tests
4136	Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy Authors: Inkook Chun; Seungjae Lee; Michael Samuel Albergo; Saining Xie; Eric Vanden-Eijnden Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: stochastic interpolants; test-time compute scaling; generative robot control; diffusion policy; flow matching; robotic manipulation; difficulty classification;…
4137	EUGens: Efficient, Unified and General Dense Layers Authors: Sang Min Kim; Byeongchan Kim; Arijit Sehanobish; Somnath Basu Roy Chowdhury; Rahul Kidambi; Dongseok Shim; Kumar Avinava Dubey; Snigdha Chaturvedi; Min-hwan Oh; Krzysztof Marcin C… Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: feedforward fully-connected layers; MLPs; random features; general dense layers; linear time complexity layers
4138	Edit Flows: Variable Length Discrete Flow Matching with Sequence-Level Edit Operations Authors: Marton Havasi; Brian Karrer; Itai Gat; Ricky T. Q. Chen Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Discrete Flow Matching
4139	Efficient Adaptive Experimentation with Noncompliance Authors: Miruna Oprescu; Brian M Cho; Nathan Kallus Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: adaptive experimentation; instrumental variables; causal inference; semiparametric efficiency; multiply robust estimation; sequential design
4140	Efficient Randomized Experiments Using Foundation Models Authors: Piersilvio De Bartolomeis; Javier Abad; Guanbo Wang; Konstantin Donhauser; Raymond M Duch; Fanny Yang; Issa Dahabreh Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: statistical efficiency; causal inference; average treatment effect; data fusion; randomized trials
4141	Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models Authors: Julius Vetter; Manuel Gloeckler; Daniel Gedon; Jakob H. Macke Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: simulation-based inference; foundation models; Bayesian inference; density estimation
4142	Embeddings as Probabilistic Equivalence in Logic Programs Authors: Jaron Maene; Efthymia Tsamoura Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: probabilistic programming; neurosymbolic AI; logic programming; knowledge graph embeddings; soft unification
4143	Energy-based generator matching: A neural sampler for general state space Authors: Dongyeop Woo; Minsu Kim; Minkyu Kim; Kiyoung Seong; Sungsoo Ahn Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: neural sampler; Boltzmann distributions; diffusion model; flow model
4144	Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning Authors: Anish Dhir; Cristiana Diaconu; Valentinian Mihai Lungu; James Requeima; Richard E. Turner; Mark van der Wilk Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian causal inference; Meta learning; neural processes; causal inference
4145	Exploiting the Asymmetric Uncertainty Structure of Pre-trained VLMs on the Unit Hypersphere Authors: Li Ju; Max Andersson; Stina Fredriksson; Edward Glöckner; Andreas Hellander; Ekta Vats; Prashant Singh Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Uncertainty Quantification; Vision-Language Models; Probabilistic Modeling
4146	Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data Authors: Harsh Poonia; Felix Divo; Kristian Kersting; Devendra Singh Dhami Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Granger causality; xLSTM; time series
4147	Exploring and Exploiting Model Uncertainty in Bayesian Optimization Authors: Zishi Zhang; Tao Ren; Yijie Peng Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian Process; Bayesian Optimization; Uncertainty Quantification
4148	FEAT: Free energy Estimators with Adaptive Transport Authors: Yuanqi Du; Jiajun He; Francisco Vargas; Yuanqing Wang; Carla P Gomes; José Miguel Hernández-Lobato; Eric Vanden-Eijnden Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: escorted Jarzynski equality; free energy calculation; stochastic differential equation; Monte Carlo method
4149	FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators Authors: Guy Moss; Leah Sophie Muhle; Reinhard Drews; Jakob H. Macke; Cornelius Schröder Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: simulation-based inference; Fourier Neural Operators; flow matching; applications
4150	Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing Authors: Kijung Jeon; Michael Muehlebach; Molei Tao Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: constrained sampling; nonconvex manifold; overdamped Langevin dynamics
4151	Faster Generic Identification in Tree-Shaped Structural Causal Models Authors: Yasmine Briefs; Markus Bläser Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causality; generic identification; structural causal models; linear structural equation models
4152	Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises Authors: Abdellah Rahmani; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian structure learning; Bayesian expectation maximisation; non stationarity; time series; heteroscedasticity
4153	From stability of Langevin diffusion to convergence of proximal MCMC for non-log-concave sampling Authors: Marien Renaud; Valentin De Bortoli; Arthur Leclaire; Nicolas Papadakis Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Sampling; Langevin diffusion; Monte Carlo Markov Chain; Inverse Problem
4154	Functional Complexity-adaptive Temporal Tensor Decomposition Authors: Panqi Chen; Lei Cheng; Jianlong Li; Weichang Li; Weiqing Liu; Jiang Bian; Shikai Fang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: functional tensor decomposition，Bayesian Method
4155	GMM-based VAE model with Normalising Flow for effective stochastic segmentation Authors: Conghui Li; Chern Hong Lim; Xin Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Stochastic segmentation; Variational Inference; Medical segmentation; Curvilinear structure segmentation
4156	GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding Authors: Miruna Oprescu; David Keetae Park; Xihaier Luo; Shinjae Yoo; Nathan Kallus Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: spatiotemporal causal inference; time-varying confounding; G-computation; observational studies; neural networks; treatment effects; observational data
4157	Gaussian Processes for Shuffled Regression Authors: Masahiro Kohjima Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: shuffled regression; gaussian processes
4158	Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Authors: Debargha Ganguly; Vikash Singh; Sreehari Sankar; Biyao Zhang; Xuecen Zhang; Srinivasan Iyengar; Xiaotian Han; Amit Sharma; Shivkumar Kalyanaraman; Vipin Chaudhary Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Large Language Models; Formal Verification; Uncertainty Quantification; Stochastic Context-Free Grammars; Automated Reasoning; SMT-based Autoformalization; Sel…
4159	Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation Authors: Zhenghao Zeng; David Arbour; Avi Feller; Ishita Dasgupta; Atanu R. Sinha; Edward Kennedy Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Missing data; cluster dependence; doubly robust estimation; causal inference; evaluation; human annotation
4160	HoT-VI: Reparameterizable Variational Inference for Capturing Instance-Level High-Order Correlations Authors: Junxi Xiao; Qinliang Su; Zexin Yuan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Probabilistic Models; Variational Inference; Instance-level Correlation; Reparameterization; High-order Correlation
4161	Identifying Macro Causal Effects in C-DMGs over DMGs Authors: Simon Ferreira; Charles K. Assaad Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causality; Cluster graph; do-calculus; sigma-separation
4162	Image Super-Resolution with Guarantees via Conformalized Generative Models Authors: Eduardo Adame; Daniel Csillag; Guilherme Tegoni Goedert Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conformal prediction; conformal risk control; image super-resolution; generative models; uncertainty quantification
4163	Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization Authors: Yiran Yang; Rui Chen Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Discovery; Integer Programming; Column Generation
4164	Infinite Neural Operators: Gaussian processes on functions Authors: Daniel Augusto de Souza; Yuchen Zhu; Harry Jake Cunningham; Yuri Saporito; Diego Mesquita; Marc Peter Deisenroth Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: infinite-width neural networks; Gaussian process; neural operator
4165	Informed Initialization for Bayesian Optimization and Active Learning Authors: Carl Hvarfner; David Eriksson; Eytan Bakshy; Maximilian Balandat Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian Optimization; Gaussian Process; Experimental Design; Bayesian Active Learning
4166	Integral Imprecise Probability Metrics Authors: Siu Lun Chau; Michele Caprio; Krikamol Muandet Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Imprecise Probability; Integral Probability Metric; Uncertainty Quantification
4167	Large Language Bayes Authors: Justin Domke Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: bayesian inference; variational inference
4168	Learning Counterfactual Outcomes Under Rank Preservation Authors: Peng Wu; Haoxuan Li; Chunyuan Zheng; Yan Zeng; Jiawei Chen; Yang Liu; Ruocheng Guo; Kun Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Inference; Nonparametric Identifiability; Individualized Treatment Effects
4169	Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm Authors: James Cuin; Davide Carbone; O. Deniz Akyildiz Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Latent variable models; Parameter estimation; Sequential Monte Carlo; Langevin algorithms
4170	Learning normalized image densities via dual score matching Authors: Florentin Guth; Zahra Kadkhodaie; Eero P Simoncelli Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: energy-based models; image dimensionality; score matching; diffusion models; manifold hypothesis; negative log-likelihood
4171	Learning to Condition: A Neural Heuristic for Scalable MPE Inference Authors: Brij Malhotra; Shivvrat Arya; Tahrima Rahman; Vibhav Giridhar Gogate Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Most Probable Explanation; Probabilistic Graphical Models; Conditioning Heuristics
4172	Least squares variational inference Authors: Yvann Le Fay; Nicolas Chopin; Simon Barthelmé Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: variational inference; computational statistics; gradient-free methods; kullback-leibler divergence; bayesian statistics; stochastic optimization
4173	Less Greedy Equivalence Search Authors: Adiba Ejaz; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causality; reasoning under uncertainty; causal discovery; structure learning
4174	Leveraging semantic similarity for experimentation with AI-generated treatments Authors: Lei Shi; David Arbour; Raghavendra Addanki; Ritwik Sinha; Avi Feller Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Experimentation; Kernel methods; Causal inference; Embeddings; LLM-generated treatments
4175	List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression Authors: Joseph Rowan; Buu Phan; Ashish J Khisti Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: probability; sampling; compression; speculative decoding; multi-draft speculative sampling; large language models
4176	Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Authors: Zheng Li; Xichen Guo; Feng Xie; Yan Zeng; Hao Zhang; Zhi Geng Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Effect; Covariate Selection; Latent Variables; Local Learning; Causal Discovery
4177	Low-Rank Graphon Learning for Networks Authors: Xinyuan Fan; Feiyan Ma; Chenlei Leng; Weichi Wu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: low-rank graphon; subgraph counts; connection probability matrix; nonparametric statistics; network analysis
4178	MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control Authors: Yuchen Zhu; Wei Guo; Jaemoo Choi; Guan-Horng Liu; Yongxin Chen; Molei Tao Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Masked diffusion model; Continuous-time Markov Chain; Sampling; Markov-chain Monte Carlo; Optimal Control
4179	MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions Authors: Lam Ngo; Huong Ha; Jeffrey Chan; Hongyu Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian optimization; multi-objective optimization; Gaussian process
4180	Martingale Posterior Neural Networks for Fast Sequential Decision Making Authors: Gerardo Duran-Martin; Leandro Sánchez-Betancourt; Alvaro Cartea; Kevin Patrick Murphy Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: online learning; neural bandits; sequential decision making; Kalman filtering; frequentist; bayes; martingale posterior
4181	Max Entropy Moment Kalman Filter for Polynomial Systems with Arbitrary Noise Authors: Sangli Teng; Harry Zhang; David Jin; Ashkan Jasour; Ram Vasudevan; Maani Ghaffari; Luca Carlone Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayes Filter; Kalman Filter; Moment Problem; Convex Optimization; Robotics
4182	Measure-Theoretic Anti-Causal Representation Learning Authors: Arman Behnam; Binghui Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Representation Learning; Causality; Measure Theory
4183	Metropolis Adjusted Microcanonical Hamiltonian Monte Carlo Authors: Jakob Robnik; Reuben Cohn-Gordon; Uros Seljak Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: MCMC
4184	Model-Informed Flows for Bayesian Inference Authors: Joohwan Ko; Justin Domke Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian Inference; Autoregressive Flows; Non-Centering Parameterization
4185	Multi-Objective Hyperparameter Selection via Hypothesis Testing on Reliability Graphs Authors: Amirmohammad Farzaneh; Osvaldo Simeone Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Hyperparameter Selection; Conformal Prediction; Hypothesis Testing
4186	Multi-View Oriented GPLVM: Expressiveness and Efficiency Authors: Zi yang; Ying Li; Zhidi Lin; Michael Minyi Zhang; Pablo M. Olmos Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Multi-view representation learning; Kernel learning; Random Fourier feature
4187	Multilevel neural simulation-based inference Authors: Yuga Hikida; Ayush Bharti; Niall Jeffrey; Francois-Xavier Briol Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Simulation-based Inference; Multilevel Monte Carlo; Neural posterior estimation; Neural likelihood estimation
4188	Multivariate Latent Recalibration for Conditional Normalizing Flows Authors: Victor Dheur; Souhaib Ben Taieb Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Uncertainty Quantification; Model Calibration; Multi-response regression; Model Recalibration; Generative Models
4189	Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference Authors: Kyurae Kim; Yian Ma; Trevor Campbell; Jacob R. Gardner Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: variational inference; variational Bayes; mean-field approximation; stochastic optimization; SGD; Bayesian inference
4190	NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference Authors: Shengyuan Chen; Zheng Yuan; Qinggang Zhang; Wen Hua; Jiannong Cao; Xiao Huang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: entity alignment; neuro-symbolic reasoning; knowledge graphs
4191	Neural Hamiltonian Diffusions for Modeling Structured Geometric Dynamics Authors: Sungwoo Park Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: geometric deep learning; Riemannian diffusion; Hamiltonian diffusion
4192	Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions Authors: Naoki Kiyohara; Edward Johns; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Neural stochastic flows; stochastic differential equations; normalising flows; continuous-time models; latent dynamics; time series modelling
4193	NeuralSurv: Deep Survival Analysis with Bayesian Uncertainty Quantification Authors: Mélodie Monod; Alessandro Micheli; Samir Bhatt Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Survival analysis; Variational Inference; Deep Learning; Bayesian Neural Networks; Local Linearization; Polya-Gamma
4194	Neurosymbolic Diffusion Models Authors: Emile van Krieken; Pasquale Minervini; Edoardo Ponti; Antonio Vergari Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: neurosymbolic AI; discrete diffusion models; probabilistic reasoning; uncertainty; reasoning shortcuts
4195	Non-Stationary Structural Causal Bandits Authors: Yeahoon Kwon; Yesong Choe; Soungmin Park; Neil Dhir; Sanghack Lee Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Non-stationarity; Sequential Decision Making
4196	Non-equilibrium Annealed Adjoint Sampler Authors: Jaemoo Choi; Yongxin Chen; Molei Tao; Guan-Horng Liu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion sampler; stochastic optimal control; annealed sampling; adjoint matching; Boltzmann density
4197	Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data Authors: Alvaro Correia; Christos Louizos Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conformal prediction; optimal transport; non-exchangeability; stochastic dominance; unsupervised adaptation
4198	Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization Authors: Colin Doumont; Victor Picheny; Viacheslav Borovitskiy; Henry Moss Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian Optimization; Combinatorial Spaces; Heat Kernels
4199	On scalable and efficient training of diffusion samplers Authors: Minkyu Kim; Kiyoung Seong; Dongyeop Woo; Sungsoo Ahn; Minsu Kim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion sampler; Generative Flow Network
4200	One Sample is Enough to Make Conformal Prediction Robust Authors: Soroush H. Zargarbashi; Mohammad Sadegh Akhondzadeh; Aleksandar Bojchevski Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conformal Prediction; Robust Conformal Prediction; Uncertainty Quantification
4201	Online Experimental Design With Estimation-Regret Trade-off Under Network Interference Authors: Zhiheng Zhang; Zichen Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Online experimental design; Causal inference; Network interference; Multi-armed bandits
4202	Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect Authors: Ruiyang Lin; Yongyi Guo; Kyra Gan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Optimal adjustment sets; causal inference; weighted controlled direct effect; nonparametric estimation
4203	Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Authors: Dennis Frauen; Maresa Schröder; Konstantin Hess; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal inference; treatment effect estimation; survival analysis; orthogonal learning
4204	PUATE: Efficient ATE Estimation from Treated (Positive) and Unlabeled Units Authors: Masahiro Kato; Fumiaki Kozai; Ryo Inokuchi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal inference; PU learning; average treatment effect estimation
4205	Parallelizing MCMC Across the Sequence Length Authors: David M. Zoltowski; Skyler Wu; Xavier Gonzalez; Leo Kozachkov; Scott Linderman Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: probabilistic methods; Markov chain Monte Carlo; parallel algorithms
4206	Personalized Federated Conformal Prediction with Localization Authors: Yinjie Min; Chuchen Zhang; Liuhua Peng; Changliang Zou Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Personalized federated learning; Conformal prediction; Localization; Conditional coverage
4207	PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation Authors: Ziyan Wang; Sizhe Wei; Xiaoming Huo; Hao Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion Model; Probabilistic Methods
4208	Practical Kernel Selection for Kernel-based Conditional Independence Test Authors: Wenjie Wang; Mingming Gong; Biwei Huang; James Bailey; Bo Han; Kun Zhang; Feng Liu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: conditional independence testing; kernel method; causal discovery
4209	Prediction-Powered Causal Inferences Authors: Riccardo Cadei; Ilker Demirel; Piersilvio De Bartolomeis; Lukas Lindorfer; Sylvia Cremer; Cordelia Schmid; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Representation Learning; Causal Inference; Domain Generalization
4210	ProDAG: Projected Variational Inference for Directed Acyclic Graphs Authors: Ryan Thompson; Edwin V. Bonilla; Robert Kohn Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: structure learning; directed acyclic graph; variational inference
4211	Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling Authors: Wanpeng Zhang; Yuhao Fang; Xihang Qiu; Jiarong Cheng; Jialong Hong; Bin Zhai; Qing Zhou; Yao Lu; Ye Zhang; Chun Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Dirichlet Distribution; Proper Hölder–Kullback divergence; Non-Gaussian diffusion processes
4212	Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference Authors: Mizuki Niihori; Shuichi Nishino; Teruyuki Katsuoka; Tomohiro Shiraishi; Kouichi Taji; Ichiro Takeuchi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Anomaly Detection; k-Nearest Neighbors; Statistical Test; Selective Inference; Deep Learning
4213	Quantifying Uncertainty in the Presence of Distribution Shifts Authors: Yuli Slavutsky; David Blei Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Uncertainty estimation; distribution shift; variational inference; bayesian learning; out-of-distribution generalization
4214	Quantitative convergence of trained neural networks to Gaussian processes Authors: Andrea Agazzi; Eloy Mosig García; Dario Trevisan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Neural networks; NTK; Gaussian process; Wasserstein distance; Gaussian approximation; shallow neural networks; wide limit; infinite-width neural network
4215	Rao-Blackwellised Reparameterisation Gradients Authors: Kevin H. Lam; Thang D Bui; George Deligiannidis; Yee Whye Teh Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: reparameterisation trick; stochastic gradient estimation; Rao-Blackwellisation; variance reduction
4216	Recurrent Memory for Online Interdomain Gaussian Processes Authors: Wenlong Chen; Naoki Kiyohara; Harrison Bo Hua Zhu; Jacob Curran-Sebastian; Samir Bhatt; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian Processes; Online Learning; Continual Learning; Sequence Model; HiPPO
4217	Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering Authors: Clément Yvernes; Emilie Devijver; Adèle H. Ribeiro; Marianne Clausel; Eric Gaussier Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causality; Causal Inference; Cluster-DAGs; Do-Calculus for Higher-Level abstractions; Identification
4218	Resolution of Simpson's paradox via the common cause principle Authors: A. Hovhannisyan; Armen Allahverdyan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: probabilistic inference; decision making; Simpson's paradox; causality; common cause
4219	Rethinking Approximate Gaussian Inference in Classification Authors: Bálint Mucsányi; Nathaël Da Costa; Philipp Hennig Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Uncertainty quantification; Predictives; Predictive distribution; Sampling-free
4220	Rethinking Losses for Diffusion Bridge Samplers Authors: Sebastian Sanokowski; Lukas Gruber; Christoph Bartmann; Sepp Hochreiter; Sebastian Lehner Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion Samplers; Diffusion Bridges; Bayesian Learning; Diffusion Models
4221	Reverse Diffusion Sequential Monte Carlo Samplers Authors: Luhuan Wu; Yi Han; Christian A. Naesseth; John Patrick Cunningham Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: sampling; sequential monte carlo; diffusion models; probabilistic methods
4222	Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design Authors: Jake Callahan; Andrew Chin; Jason Pacheco; Tommie Catanach Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian optimal experiment design; expected information gain; mutual information; model evidence; sequential Monte Carlo; Markov chain Monte Carlo; Bayesian m…
4223	Reward-oriented Causal Representation Learning Authors: Zirui Yan; Emre Acartürk; Ali Tajer Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal representation learning; causal bandit; reward-oriented
4224	Robust Sampling for Active Statistical Inference Authors: Puheng Li; Tijana Zrnic; Emmanuel Candes Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: active statistical inference; data collection; robust sampling; prediction-powered inference
4225	Robust and Computation-Aware Gaussian Processes Authors: Marshal Arijona Sinaga; Julien Martinelli; Samuel Kaski Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian Processes; Bayesian optimization; Probabilist Numerics
4226	Root Cause Analysis of Outliers with Missing Structural Knowledge Authors: William Roy Orchard; Nastaran Okati; Sergio Hernan Garrido Mejia; Patrick Blöbaum; Dominik Janzing Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: root cause analysis; causality; contribution analysis; actual causation; outliers; anomalies
4227	SD-KDE: Score-Debiased Kernel Density Estimation Authors: Elliot L Epstein; Rajat Vadiraj Dwaraknath; Thanawat Sornwanee; John Winnicki; Jerry Weihong Liu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Kernel Density Estimation; Diffusion models; Score based models; Synthetic Data; Probabilistic modeling
4228	SING: SDE Inference via Natural Gradients Authors: Amber Hu; Henry Smith; Scott Linderman Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: latent SDEs; dynamical systems; variational inference; natural gradient
4229	STACI: Spatio-Temporal Aleatoric Conformal Inference Authors: Brandon R. Feng; David Keetae Park; Xihaier Luo; Arantxa Urdangarin; Shinjae Yoo; Brian Reich Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian Process; Spatio-Temporal; Conformal Inference; Deep Learning
4230	Sampling by averaging: A multiscale approach to score estimation Authors: Paula Cordero Encinar; Andrew B. Duncan; Sebastian Reich; O. Deniz Akyildiz Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: sampling from multi-modal densities; diffusion process; multiscale SDEs
4231	Scalable and adaptive prediction bands with kernel sum-of-squares Authors: Louis Allain; Sébastien Da Veiga; Brian Staber Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: kernel sum-of-squares; uncertainty quantification; conformal prediction; kernel methods
4232	Score-Based Diffusion Modeling for Nonparametric Empirical Bayes in Heteroscedastic Gaussian Mixtures Authors: Gongyu Chen; Ying Cui Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: empirical Bayes; Gaussian location mixture model; g-modeling; heteroscedastic noise; diffusion processes; score matching
4233	Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery Authors: Jiyeon Kang; Songseong Kim; Chanhui Lee; Doyeong Hwang; Joanie Hayoun Chung; Yunkyung Ko; Sumin Lee; Sungwoong Kim; Sungbin Lim Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Discovery; Score Matching; Diffusion Models; Neural Operator
4234	SimpleStrat: Diversifying Language Model Generation with Stratification Authors: Justin Wong; Yury Orlovskiy; Alexander Shypula; Michael Luo; Sanjit A. Seshia; Joseph E. Gonzalez Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Coverage; Language Model Sampling; Stratified Sampling; Evaluation; Dataset
4235	Simulation-Based Inference for Adaptive Experiments Authors: Brian M Cho; Aurelien Bibaut; Nathan Kallus Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Statistical Inference; Simulation; Multi-armed Bandit; Hypothesis Testing
4236	Small Resamples, Sharp Guarantees: Convergence Rates for Resampled Studentized Quantile Estimators Authors: Imon Banerjee; Sayak Chakrabarty Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: m-out-of-n bootstrap; sample quantiles; central limit theorem; Edgeworth expansion; Berry–Esseen bounds; L-statistics; robust inference
4237	Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial Associations Authors: David R. Burt; Renato Berlinghieri; Stephen Bates; Tamara Broderick Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Spatial; Confidence Intervals; Linear Regression; Lipschitz; Uncertainty Quantification
4238	Solving and Learning Partial Differential Equations with Variational Q-Exponential Processes Authors: Guangting Yu; Shiwei Lan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Probabilistic PDE Solvers; Bayesian Inverse Problems; Data Inhomogeneity; Modeling Derivatives; Uncertainty Quantification
4239	Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited Authors: Thang D Bui; Michalis Titsias Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian processes; approximate inference
4240	Spectral Convolutional Conditional Neural Processes Authors: Peiman Mohseni; Nick Duffield Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: neural process; stochastic process; meta learning; fourier neural operator
4241	Split Gibbs Discrete Diffusion Posterior Sampling Authors: Wenda Chu; Zihui Wu; Yifan Chen; Yang Song; Yisong Yue Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: discrete diffusion model; posterior sampling; inverse problem
4242	Squared families are useful conjugate priors Authors: Russell Tsuchida; Jiawei Liu; Cheng Soon Ong; Dino Sejdinovic Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian inference; conjugate families; Gaussian processes; squared families
4243	Structural Causal Bandits under Markov Equivalence Authors: Min Woo Park; Andy Arditi; Elias Bareinboim; Sanghack Lee Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal inference; structural causal bandits; markov equivalence; partial ancestral graph; maximal ancestral graph
4244	Synthetic-powered predictive inference Authors: Meshi Bashari; Roy Maor Lotan; Yonghoon Lee; Edgar Dobriban; Yaniv Romano Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Distribution-free Inference; Conformal Prediction; Uncertainty Quantification; Domain Adaptation; Generative Models
4245	Temporal-Difference Variational Continual Learning Authors: Luckeciano Carvalho Melo; Alessandro Abate; Yarin Gal Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: continual learning; online variational inference; temporal-difference learning
4246	Test Time Scaling for Neural Processes Authors: Hyungi Lee; Moonseok Choi; Hyunsu Kim; Kyunghyun Cho; Rajesh Ranganath; Juho Lee Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Neural Processes; Sequential Monte Carlo; Test Time Scaling; Latent Variational Posterior
4247	The Adaptive Complexity of Minimizing Relative Fisher Information Authors: Huanjian Zhou; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: parallel sampling; non-log-concave; relative fisher information
4248	The Quotient Bayesian Learning Rule Authors: Mykola Lukashchuk; Raphaël Trésor; Wouter W. L. Nuijten; Ismail Senoz; Bert de Vries Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian methods; Fisher information; Heavy-tailed distributions; Information geometry; Natural gradient; Riemannian optimization; Variational inference
4249	The third pillar of causal analysis? A measurement perspective on causal representations Authors: Dingling Yao; Shimeng Huang; Riccardo Cadei; Kun Zhang; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Causal Analysis; Representation Learning
4250	Towards Identifiability of Hierarchical Temporal Causal Representation Learning Authors: Zijian Li; Minghao Fu; Junxian Huang; Yifan Shen; Ruichu Cai; Yuewen Sun; Guangyi Chen; Kun Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal representation learning
4251	Training-Free Bayesianization for Low-Rank Adapters of Large Language Models Authors: Haizhou Shi; Yibin Wang; Ligong Han; Huan Zhang; Hao Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Large Language Models; Uncertainty Estimation; Bayesian Deep Learning
4252	Transferring Causal Effects using Proxies Authors: Manuel Iglesias-Alonso; Felix Schur; Julius von Kügelgen; Jonas Peters Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal inference; domain shift; unmeasured confounding; proxies; identifiability; causal effect estimation
4253	Treatment Effect Estimation for Optimal Decision-Making Authors: Dennis Frauen; Valentyn Melnychuk; Jonas Schweisthal; Mihaela van der Schaar; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: treatment effect estimation; policy learning; causal inference
4254	Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project Authors: Pratik Rathore; Zachary Frangella; Sachin Garg; Shaghayegh Fazliani; Michal Derezinski; Madeleine Udell Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian processes; inference; sketch-and-project; distributed methods; determinantal point processes
4255	Uncertainty Quantification with the Empirical Neural Tangent Kernel Authors: Joseph Wilson; Chris van der Heide; Liam Hodgkinson; Fred Roosta Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Neural Tangent Kernel; Bayesian Deep Learning; Uncertainty Quantification; Neural Network
4256	Unveiling Extraneous Sampling Bias with Data Missing-Not-At-Random Authors: Chunyuan Zheng; Haocheng Yang; Haoxuan Li; Mengyue Yang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Missing-Not-At-Random; Sampling Bias
4257	VERA: Variational Inference Framework for Jailbreaking Large Language Models Authors: Anamika Lochab; Lu Yan; Patrick Pynadath; Xiangyu Zhang; Ruqi Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Jailbreaking; LLM Security; Reinforcement Learning; Variational Inference
4258	VIKING: Deep variational inference with stochastic projections Authors: Samuel G. Fadel; Hrittik Roy; Nicholas Krämer; Yevgen Zainchkovskyy; Stas Syrota; Alejandro Valverde Mahou; Carl Henrik Ek; Søren Hauberg Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Bayesian deep learning; overparametrization; reparametrization invariance; linear algebra; matrix-free methods
4259	Variance-Reduced Long-Term Rehearsal Learning with Quadratic Programming Reformulation Authors: Wen-Bo Du; Tian Qin; Tian-Zuo Wang; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: decision-making; probabilistic optimization; structural model
4260	Variational Inference with Mixtures of Isotropic Gaussians Authors: Marguerite Petit-Talamon; Marc Lambert; Anna Korba Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: variational inference; optimization; optimal transport
4261	Variational Pólya Tree Authors: Lu Xu; Tsai Hor Chan; Lequan Yu; Kwok Fai Lam; Guosheng Yin Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Nonparametric Bayesian; Variational Inference; Tree Models; Deep Density Estimation
4262	Variational Uncertainty Decomposition for In-Context Learning Authors: I. Shavindra Jayasekera; Jacob Si; Filippo Valdettaro; Wenlong Chen; Aldo A. Faisal; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Uncertainty Quantification; Uncertainty Decomposition; In-Context Learning; Variational Methods; Large Language Models
4263	Wasserstein Convergence of Critically Damped Langevin Diffusions Authors: Stanislas Strasman; Sobihan Surendran; Claire Boyer; Sylvain Le Corff; Vincent Lemaire; Antonio Ocello Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Wasserstein convergence; score-based generative models; kinetic Langevin diffusion
4264	When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery Authors: Dominik Meier; Sujai Hiremath; PROMIT GHOSAL; Kyra Gan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: causal discovery; additive noise model; diffusion
4265	When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions Authors: Moritz Willig; Tim Tobiasch; Devendra Singh Dhami; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Meta-Causality; Causal Dynamics; Decision-Making; Reflection
4266	When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective Authors: Beatrix Miranda Ginn Nielsen; Emanuele Marconato; Andrea Dittadi; Luigi Gresele Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Identifiability; Representational Similarity; Distributional Distance; Robustness; Representation Learning
4267	Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion Authors: Alan Nawzad Amin; Nate Gruver; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Discrete diffusion; proteins; language; masking diffusion; structure
4268	$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training Authors: Jin Peng Zhou; Kaiwen Wang; Jonathan Daniel Chang; Zhaolin Gao; Nathan Kallus; Kilian Q Weinberger; Kianté Brantley; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: large language models; distributional RL; reasoning
4269	A Bayesian Fast-Slow Framework to Mitigate Interference in Non-Stationary Reinforcement Learning Authors: Yihuan Mao; Chongjie Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Non-stationary MDPs; Continual RL
4270	A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation Authors: Yang Peng; Kaicheng Jin; Liangyu Zhang; Zhihua Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Distributional Reinforcement Learning; Sample Complexity; Distributional TD Learning; Distributional Policy Evaluation; Stochastic Approximation
4271	A Generalized Bisimulation Metric of State Similarity between Markov Decision Processes: From Theoretical Propositions to Applications Authors: Zhenyu Tao; Wei Xu; Xiaohu You Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Markov decision process; reinforcement learning; bisimulation metric
4272	A Novel General Framework for Sharp Lower Bounds in Succinct Stochastic Bandits Authors: Guo Zeng; Jean Honorio Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Bandits; Lower bounds; Sparsity; Low rankness
4273	A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning Authors: Anjie Liu; Jianhong Wang; Samuel Kaski; Jun Wang; Mengyue Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; targeted intervention; pre-strategy intervention; multi-agent influence diagrams; multi-agent systems; hanabi
4274	A Provable Approach for End-to-End Safe Reinforcement Learning Authors: Akifumi Wachi; Kohei Miyaguchi; Takumi Tanabe; Rei Sato; Youhei Akimoto Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: safe reinforcement learning; gaussian process
4275	A Temporal Difference Method for Stochastic Continuous Dynamics Authors: Haruki Settai; Naoya Takeishi; Takehisa Yairi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Model-free RL; Continuous Control
4276	ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning Authors: Zeyuan Liu; Zhihe Yang; Jiawei Xu; Rui Yang; Jiafei Lyu; Baoxiang Wang; Yunjian Xu; Xiu Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline RL; Diffusion Model; Corruption-robust Offline RL
4277	Accelerating RL for LLM Reasoning with Optimal Advantage Regression Authors: Kianté Brantley; Mingyu Chen; Zhaolin Gao; Jason D. Lee; Wen Sun; Wenhao Zhan; Xuezhou Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; large language models; reasoning
4278	Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies Authors: Jing Wang; Weiting Peng; Jing Tang; Zeyu Gong; Xihua Wang; Bo Tao; Li cheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Diffusion Policy; Vector–Jacobian Product; Variational Inference; Latent Stochastic Differential Equation; Contrastive Learning
4279	ActiveVOO: Value of Observation Guided Active Knowledge Acquisition for Open-World Embodied Lifted Regression Planning Authors: Xiaotian Liu; Ali Pesaranghader; Jaehong Kim; Tanmana Sadhu; Hyejeong Jeon; Scott Sanner Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Open-world Planning; Embodied Agents; Active Knowledge Acquisition; Lifted Regression
4280	Actor-Free Continuous Control via Structurally Maximizable Q-Functions Authors: Yigit Korkmaz; Urvi Bhuwania; Ayush Jain; Erdem Biyik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Q-learning
4281	Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer Authors: Ruiqi Xue; Ziqian Zhang; Lihe Li; Cong Guan; Lei Yuan; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Safe Reinforcement Learning; Offline Reinforcement Learning; Multi-task Reinforcement Learning
4282	Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback Authors: Shinji Ito; Kevin Jamieson; Haipeng Luo; Arnab Maiti; Taira Tsuchiya Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: online MDPs; aggregate feedback; best of both worlds
4283	Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning Authors: Wenchang Duan; Yaoliang Yu; Jiwan He; Yi Shi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; adaptive context length; low-frequency truncation; long-term dependencies
4284	Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models Authors: Jiajun Fan; Tong Wei; Chaoran Cheng; Yuxin Chen; Ge Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; generative models; adaptive regularization; advantage estimation; fine-tuning; flow matching; text-to-image generation; exploration-exp…
4285	Adaptive Variance Inflation in Thompson Sampling: Efficiency, Safety, Robustness, and Beyond Authors: Feng Zhu; David Simchi-Levi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-armed bandit; variance inflation; Thompson Sampling; efficiency; safety; robustness
4286	Adaptively Coordinating with Novel Partners via Learned Latent Strategies Authors: Benjamin Li; Shuyang Shi; Lucia Romero; Huao Li; Yaqi Xie; Woojun Kim; Stefanos Nikolaidis; Charles Michael Lewis; Katia P. Sycara; Simon Stepputtis Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; human-ai collaboration; multi-agent systems; zero-shot coordination
4287	Adversarial Diffusion for Robust Reinforcement Learning Authors: Daniele Foffano; Alessio Russo; Alexandre Proutiere Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Diffusion; Robust; Model-Based Reinforcement Learning
4288	Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning Authors: Jiyuan Shi; Xinzhe Liu; dewei wang; ouyang lu; Sören Schwertfeger; Chi Zhang; Fuchun Sun; Chenjia Bai; Xuelong Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Humanoid Robots; Locomotion; Loco-Manipulation; Reinforcement Learning
4289	Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Authors: Jifeng Hu; Sili Huang; Zhejian Yang; Shengchao Hu; Li Shen; Hechang Chen; Lichao Sun; Yi Chang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: offline reinforcement learning; decision making; generative models
4290	Approximating Shapley Explanations in Reinforcement Learning Authors: Daniel Beechey; Özgür Şimşek Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Shapley values; explainable artificial intelligence; explainable reinforcement learning; feature-based explanations
4291	Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards Authors: Charles Arnal; Gaëtan Narozniak; Vivien Cabannes; Yunhao Tang; Julia Kempe; Remi Munos Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; off-policy RL; LLM finetuning; bandits
4292	Automaton Constrained Q-Learning Authors: Anastasios Manganaris; Vittorio Giammarino; Ahmed H Qureshi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Safe Reinforcement Learning; Temporal Logic; Automata
4293	Avoiding exp® scaling in RLHF through Preference-based Exploration Authors: Mingyu Chen; Yiding Chen; Wen Sun; Xuezhou Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RL theory; RLHF; sample complexity; llm
4294	Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning Authors: Wei Duan; Jie Lu; Junyu Xuan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: networked multi-agent reinforcement learning; Multi-Agent Reinforcement Learning; Decentralized Reinforcement Learning; Actor–Critic Methods
4295	Beyond Verifiable Rewards: Scaling Reinforcement Learning in Language Models to Unverifiable Data Authors: Yunhao Tang; Sid Wang; Lovish Madaan; Remi Munos Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; LLMs; Reasoning; Unverifiable; Verifiable
4296	Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning Authors: Junkai Zhang; Jinmin He; Yifan Zhang; Yifan Zang; Ning Xu; Jian Cheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: MARL; multi-task; policy generalization for zero-shot
4297	Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners Authors: Michal Nauman; Marek Cygan; Carmelo Sferrazza; Aviral Kumar; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; multi-task learning; data scaling; compute scaling
4298	Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames Authors: Ev Zisselman; Mirco Mutti; Shelly Francis-Meretzki; Elisei Shafer; Aviv Tamar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Robotics; Sequential Decision-making; Generalization; Video Games
4299	Bootstrap Off-policy with World Model Authors: Guojian Zhan; Likun Wang; Xiangteng Zhang; Jiaxin Gao; Masayoshi Tomizuka; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; Online Planning
4300	Boundary-to-Region Supervision for Offline Safe Reinforcement Learning Authors: Huikang Su; Dengyun Peng; Zifeng Zhuang; YuHan Liu; Qiguang Chen; Donglin Wang; Qinghe Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline safe reinforcement learning
4301	BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces Authors: Matthew Landers; Taylor W. Killian; Hugo Barnes; Thomas Hartvigsen; Afsaneh Doryab Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Batch Reinforcement Learning; Combinatorial Action Spaces; Reinforcement Learning; Discrete Action Spaces; Large Action Spaces;…
4302	BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models Authors: Peiyan Li; Yixiang Chen; Hongtao Wu; Xiao Ma; Xiangnan Wu; Yan Huang; Liang Wang; Tao Kong; Tieniu Tan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: 官方列表未公开
4303	CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning Authors: Ao Zhou; Jiayi Guan; Li Shen; Fan Lu; Sanqing Qu; Junqiao Zhao; Ziqiao Wang; Ya Wu; Guang Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; parameterized action spaces; constrained policy optimization.
4304	COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space Authors: Pengyi Li; Hongyao Tang; Yifu Yuan; Jianye HAO; Zibin Dong; YAN ZHENG Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Objective Reinforcement Learning
4305	CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning Authors: Pengyi Li; Shixiong Kai; Jianye HAO; Ruizhe Zhong; Hongyao Tang; Zhentao Tang; Mingxuan Yuan; Junchi Yan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Floorplanning; Evolutionary Algorithms; Reinforcement Learning
4306	Capturing Individual Human Preferences with Reward Features Authors: Andre Barreto; Vincent Dumoulin; Yiran Mao; Mark Rowland; Nicolas Perez-Nieves; Bobak Shahriari; Yann Dauphin; Doina Precup; Hugo Larochelle Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Reward Models; Preference Learning; Preference Optimisation
4307	Centralized Reward Agent for Knowledge Sharing and Transfer in Multi-Task Reinforcement Learning Authors: Haozhe Ma; Zhengding Luo; Thanh Vinh Vo; Kuankuan Sima; Tze-Yun Leong Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Shaping; Knowledge Distillation and Distribution; Knowledge Transfer
4308	Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code Authors: Augusto B. Corrêa; André Grahl Pereira; Jendrik Seipp Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: automated planning; planning; heuristic search; search
4309	Coarse-to-fine Q-Network with Action Sequence for Data-Efficient Reinforcement Learning Authors: Younggyo Seo; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Action Sequence; Humanoid
4310	Cognitive Predictive Processing: A Human-inspired Framework for Adaptive Exploration in Open-World Reinforcement Learning Authors: boheng liu; Ziyu Li; Chenghua Duan; YuTian Liu; Zhuo Wang; Xiuxing Li; Qing Li; Xia Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Open-World Reinforcement Learning; Human-inspired Artificial Intelligence; Cognitive Architectures
4311	Computational Hardness of Reinforcement Learning with Partial $q^{\pi}$-Realizability Authors: Shayan Karimi; Xiaoqi Tan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Linear Function Approximation; Computational Complexity; NP-Hardness
4312	Compute-Optimal Scaling for Value-Based Deep RL Authors: Preston Fu; Oleh Rybkin; Zhiyuan Zhou; Michal Nauman; Pieter Abbeel; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: scaling laws; online reinforcement learning; q-learning
4313	Conditioning Matters: Training Diffusion Policies is Faster Than You Think Authors: Zibin Dong; Yicheng Liu; Yinchuan Li; Hang Zhao; Jianye HAO Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Embodied AI; Diffusion policies; Imitation learning; Diffusion models; Flow matching; Vision-language action models
4314	Conformal Prediction Beyond the Horizon: Distribution-Free Inference for Policy Evaluation Authors: Feichen Gan; Lu Youcun; Yingying Zhang; Yukun Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Conformal Prediction; Reinforcement Learning; Policy Evaluation; Infinite-Horizon
4315	Constrained Best Arm Identification Authors: Tyron Darnell Lardy; Christina Katsimerou; Wouter M Koolen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: best arm identification; cost constraints; track and stop
4316	Constructing an Optimal Behavior Basis for the Option Keyboard Authors: Lucas N. Alegre; Ana L. C. Bazzan; Andre Barreto; Bruno Castro da Silva Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; option keyboard; generalized policy improvement; transfer learning; multi-task reinforcement learning
4317	Continual Knowledge Adaptation for Reinforcement Learning Authors: Jinwu Hu; ZiHao Lian; Zhiquan Wen; ChenghaoLi; Guohao Chen; Xutao Wen; Bin Xiao; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Markov Decision Process
4318	Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control Authors: Chengxiu HUA; Jiawen Gu; Yushun Tang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Stochastic Control; Reinforcement Learning; Diffusion Policy; Continuous Q-Learning; Martingale Orthogonality Condition
4319	Continuous Soft Actor-Critic: An Off-Policy Learning Method Robust to Time Discretization Authors: Huimin Han; Shaolin Ji Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Continuous-time; Off-policy
4320	Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning Authors: Yash Jhaveri; Harley Wiltzer; Patrick Shafto; Marc G Bellemare; David Meger Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; distributional reinforcement learning; entropy-regularized reinforcement learning
4321	Convergent Functions, Divergent Forms Authors: Hyeonseong Jeon; Ainaz Eftekhar; Aaron Walsman; Kuo-Hao Zeng; Ali Farhadi; Ranjay Krishna Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Morphology Evolution; Embodiment Co-Design; Quality-Diversity
4322	Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMs Authors: Georgios Tzannetos; Parameswaran Kamalaruban; Adish Singla Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Curriculum Design; Large Language Models; Reinforcement Learning; Chain-of-Thought Reasoning
4323	DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning Authors: Runpeng Xie; Quanwei Wang; Hao Hu; Zherui Zhou; Ni Mu; Xiyun Li; Yiqin Yang; Shuang Xu; Qianchuan Zhao; Bo XU Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Language-conditioned Reinforcement Learning; Representation Learning
4324	DEAL: Diffusion Evolution Adversarial Learning for Sim-to-Real Transfer Authors: Wentao Xu; Huiqiao Fu; Haoyu Dong; Zhehao Zhou; Chunlin Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Diffusion evolution with adversarial learning; reinforcement learning; Sim-to-Real transfer; system identification
4325	DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning Authors: Leander Diaz-Bone; Marco Bagatella; Jonas Hübotter; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; test-time training; test-time reinforcement learning; sparse-reward reinforcement learning; goal selection; goal-conditioned reinforcem…
4326	Diffusion Guided Adversarial State Perturbations in Reinforcement Learning Authors: Xiaolin Sun; Feidi Liu; Zhengming Ding; Zizhan Zheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; State Perturbation Attack; Diffusion Model
4327	Diffusion Models Meet Contextual Bandits Authors: Imad Aouali Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Diffusion models; Bayesian contextual bandits
4328	Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy Authors: Sreevardhan Sirigiri; Christian Hughes; Ian Abraham; Fabio Ramos Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: robotics exploration; trajectory optimization; ergodic search; signature transform
4329	Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL Authors: Junyu Guo; Zhi Zheng; Donghao Ying; Ming Jin; Shangding Gu; Costas Spanos; Javad Lavaei Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Safe Reinforcement Learning; Diffusion Models
4330	DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving Authors: ShuYao Shang; Yuntao Chen; Yuqi Wang; Yingyan Li; Zhaoxiang Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: End-to-End Autonomous Driving; Direct Preference Optimization; Imitation Learning
4331	DyMoDreamer: World Modeling with Dynamic Modulation Authors: Boxuan Zhang; Runqing Wang; Wei Xiao; Weipu Zhang; Jian Sun; Gao Huang; Jie Chen; Gang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Model-based reinforcement learning; world model; dynamic modulation; recurrent state space model
4332	Dyn-O: Building Structured World Models with Object-Centric Representations Authors: Zizhao Wang; Kaixin Wang; Li Zhao; Peter Stone; Jiang Bian Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: World Model; Object-centric representation
4333	DynaAct: Large Language Model Reasoning with Dynamic Action Spaces Authors: Xueliang Zhao; Wei Wu; Jian Guan; Qintong Li; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Sequential Decision-Making; Action Space Optimization; Submodular Function
4334	DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation Authors: Jingyi Tian; Le Wang; Sanping Zhou; Sen Wang; lijiayi; Gang Hua Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: embodied AI; robotic manipulation; representation learning
4335	Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization Authors: Frank Röder; Jan Benad; Manfred Eppe; Pradeep Kr. Banerjee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: world models; contextual reinforcement learning; representation learning; counterfactual consistency
4336	ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs Authors: Yunuo Zhang; Baiting Luo; Ayan Mukhopadhyay; Gabor Karsai; Abhishek Dubey Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: POMDPs; Particle-based Variational Inference; Reinforcement Learning
4337	Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives Authors: Qixin Zhang; Yan Sun; Can Jin; Xikun ZHANG; Yao Shu; Puning Zhao; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Coordination; Policy Learning; Continuous Relaxation; Online Non-Submodular Maximization; Surrogate Functions
4338	Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Authors: Sourav Ganguly; Kishan Panaganti; Arnob Ghosh; Adam Wierman Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust MDP; CMDP; Primal-dual optimization; iteration complexity; Natural Policy Gradient
4339	Efficient Preference-Based Reinforcement Learning: Randomized Exploration meets Experimental Design Authors: Andreas Schlaginhaufen; Reda Ouhamma; Maryam Kamgarpour Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RLHF; Preference learning; RL; Optimal design
4340	Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety Authors: Siyuan Xu; Minghui Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning
4341	EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data Authors: Ryan Punamiya; Dhruv Patel; Patcharapong Aphiwetsa; Pranav Kuppili; Lawrence Y. Zhu; Simar Kareer; Judy Hoffman; Danfei Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robot Learning; Imitation Learning; Cross-Embodiment Learning; Learning from Human Data; Domain Adaptation
4342	Embodied Crowd Counting Authors: Runling Long; Yunlong Wang; Jia Wan; Xiang Deng; Xinting Zhu; Weili Guan; Antoni B. Chan; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: crowd counting; embodied AI
4343	Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Authors: Simin Li; Zihao Mao; Hanxiao Li; Zonglei Jing; Zhuohang bian; Jun Guo; Li Wang; Zhuoran Han; Ruixiao Xu; Xin Yu; Chengdong Ma; Yuqing Ma; Bo An; Yaodong Yang; Weifeng Lv; Xianglon… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Trustworthy AI
4344	Encouraging metric-aware diversity in contrastive representation space Authors: Tianxu Li; Kun Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; Exploration; Multi-agent diversity; Wasserstein distance
4345	Enhancing Interpretability in Deep Reinforcement Learning through Semantic Clustering Authors: Liang Zhang; Justin Lieffers; Adarsh Pyarelal Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Interpretability; Reinforcement Learning; Clustering; Visualization; Neural Networks
4346	Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Authors: Xiyue Peng; Hengquan Guo; jiawei zhang; Dongqing Zou; Ziyu Shao; Honghao Wei; Xin Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Safe Reinforcement Learning; Reinforcement Learning with Human Feedback; Large Language Model; Safety Alignment
4347	Enhancing Tactile-based Reinforcement Learning for Robotic Control Authors: Elle Miller; Trevor McInroe; David Abel; Oisin Mac Aodha; Sethu Vijayakumar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; tactile sensing; representation learning; robotic manipulation
4348	Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games Authors: Runyu Lu; Peng Zhang; Ruochuan Shi; Yuanheng Zhu; Dongbin Zhao; Yang Liu; Dong Wang; Cesare Alippi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Nash equilibrium; zero-shot generalization; pursuit-evasion game; reinforcement learning; dynamic programming; policy decomposition; shortest path distance; gr…
4349	Explainably Safe Reinforcement Learning Authors: Sabine Rieder; Stefan Pranger; Debraj Chakraborty; Jan Kretinsky; Bettina Könighofer Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Shielding; Decision Tree; Safe AI; Explainability
4350	Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Authors: Wei Shen; Guanlin Liu; YuYue; Ruofei Zhu; Qingping Yang; Chao Xin; Lin Yan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: LLM; RLHF; Data Scaling
4351	FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning Authors: Da Wang; Yi Ma; Ting Guo; Hongyao Tang; Wei Wei; Jiye Liang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: offline reinforcement learning; generalization; structuration
4352	Failure Prediction at Runtime for Generative Robot Policies Authors: Ralf Römer; Adrian Kobras; Luca Worbis; Angela P. Schoellig Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Diffusion Policies; Robotics; Safety; Generative Models
4353	FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning Authors: Woosung Kim; Jinho Lee; Jongmin Lee; Byung-Jun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Multi-objective Reinforcement Learning
4354	Faithful Dynamic Imitation Learning from Human Intervention with Dynamic Regret Minimization Authors: Bo Ling; Zhengyu Gan; Wanyuan Wang; Guanyu Gao; Weiwei Wu; Yan Lyu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Human-in-the-loop Imitation Learning; Dynamic Regret; Online Learning; Off-policy Imitation Learning
4355	Faster Fixed-Point Methods for Multichain MDPs Authors: Matthew Zurek; Yudong Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Markov decision processes; value iteration; fixed-point methods; Halpern iteration; average-reward RL
4356	Federated Multi-armed Bandits with Efficient Bit-Level Communications Authors: Haoran Zhang; Yang Xu; Xuchuang Wang; Hao-Xu Chen; Hao Qiu; Lin Yang; Yang Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: federated multi-armed bandit; communication-efficient algorithm
4357	Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features Authors: Zixuan Xie; Xinyu Liu; Rohan Chandra; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: temporal difference learning; convergence rate; reinforcement learning; linear function approximation
4358	Finite-Time Bounds for Average-Reward Fitted Q-Iteration Authors: Jongmin Lee; Ernest K. Ryu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning theory; average-reward MDP; fitted Q-iteration; value iteration; sample complexity; anchoring; single-trajectory data; IID data
4359	Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling Authors: Tianyi Tan; Yinan Zheng; Ruiming Liang; Zexu Wang; Kexin ZHENG; Jinliang Zheng; Jianxiong Li; Xianyuan Zhan; Jingjing Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Autonomous Driving Planning; Flow Matching
4360	Flow-Based Policy for Online Reinforcement Learning Authors: Lei Lv; Yunfei Li; Yu Luo; Fuchun Sun; Tao Kong; Jiafeng Xu; Xiao Ma Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Online Reinforcemen Learning; Flow Matching
4361	Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments Authors: Jiahui Wang; Chao Chen; Jiacheng Xu; Zongzhang Zhang; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; visual domain adaptation
4362	ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation Authors: Jiawen Yu; Hairuo Liu; Qiaojun Yu; Jieji Ren; Ce Hao; Haitong Ding; Guangyu Huang; Guofan Huang; Yan Song; Panpan Cai; Wenqiang Zhang; Cewu Lu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: VLA; Robotics; Contact-rich Manipulation; Robotics and Control
4363	Fuz-RL: A Fuzzy-Guided Robust Framework for Safe Reinforcement Learning under Uncertainty Authors: Xu Wan; Chao Yang; Cheng Yang; Jie Song; Mingyang Sun Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust Safe Reinforcement Learning; Risk-sensitive Decision-making
4364	GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning Authors: Haolong Yan; Yeqing Shen; Xin Huang; Jia Wang; Kaijun Tan; Zhixuan Liang; Hongxin Li; Zheng Ge; Osamu Yoshie; Si Li; Xiangyu Zhang; Daxin Jiang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: GUI Environment; Large Vision Language Model; Multi-Turn Reinforcement Learning; Agent
4365	GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning Authors: Shutong Ding; Ke Hu; Shan Zhong; Haoyang Luo; Weinan Zhang; Jingya Wang; Jun Wang; Ye Shi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; On Policy Learning; Generative Diffusion Models
4366	Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training Authors: Shuo Cheng; Liqian Ma; Zhenyang Chen; Ajay Mandlekar; Caelan Reed Garrett; Danfei Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Optimal Transport; Sim-to-Real
4367	Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions Authors: Marc Brooks; Gabriel Durham; Kihyuk Hong; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Bandits; Generative Models; Large Language Models; Mobile Health; Personalized Interventions; Sequential Decision Making
4368	GoalLadder: Incremental Goal Discovery with Vision-Language Models Authors: Alexey Zakharov; Shimon Whiteson Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; vision-language models
4369	Graph Neural Network Based Action Ranking for Planning Authors: Rajesh Devaraddi Mangannavar; Stefan Lee; Alan Fern; Prasad Tadepalli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: graph neural networks (GNN); policy learning; planning; relational learning
4370	Greedy Sampling Is Provably Efficient For RLHF Authors: Di Wu; Chengshuai Shi; Jing Yang; Cong Shen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RLHF; Greedy Sampling; General Preference Model
4371	Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited Data Authors: Andrew C Li; Toryn Q. Klassen; Andrew Wang; Parand A. Alamdari; Sheila A. McIlraith Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; RL; Formal Language; Reward Machine; LTL; Language; Grounding; Compositional
4372	HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems Authors: H M Sabbir Ahmad; Ehsan Sabouni; Alexander Wasilkoff; Param Budhraja; Zijian Guo; Songyuan Zhang; Chuchu Fan; Christos Cassandras; Wenchao Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Hierarchical RL; Multi-Agent RL; Safe RL; Control Barrier Functions; Safety-Critical Systems
4373	Hadamax Encoding: Elevating Performance in Model-Free Atari Authors: Jacob Eeuwe Kooi; Zhao Yang; Vincent Francois-Lavet Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Atari; Encoder Design
4374	High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning Authors: Qinyu Xu; Yuanyang Zhu; Xuefei Wu; Chunlin Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Continued fraction Q-learning; high-order interaction; interpretability; multi-agent reinforcement learning
4375	How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning Authors: Max Weltevrede; Moritz Akiya Zanger; Matthijs T. J. Spaan; Wendelin Boehmer Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Generalization; Policy Distillation; Symmetries
4376	HypRL: Reinforcement Learning of Control Policies for Hyperproperties Authors: Tzu-Han Hsu; Arshia Rafieioskouei; Borzoo Bonakdarpour Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; formal methods; hyperproperties; temporal logics; specification-based RL; multi-agent RL; reward shaping; HyperLTL; MDP
4377	HyperMARL: Adaptive Hypernetworks for Multi-Agent RL Authors: Kale-ab Tessera; Arrasy Rahman; Amos Storkey; Stefano V. Albrecht Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Parameter Sharing; Specialisation; Behavioural Diversity
4378	IOSTOM: Offline Imitation Learning from Observations via State Transition Occupancy Matching Authors: Quang Anh Pham; Janaka Chathuranga Brahmanage; Tien Anh Mai; Akshat Kumar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Learning from Observations; Imitation Learning
4379	Imagine Beyond ! Distributionally Robust Autoencoding for State Space Coverage in Online Reinforcement Learning Authors: Nicolas Castanet; Olivier Sigaud; Sylvain Lamprier Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Goal-Conditionned Reinforcement Learning; States representation learning; Intrinsic motivation; Exploration
4380	Imagined Autocurricula Authors: Ahmet H. Güzel; Matthew Thomas Jackson; Jarek Luca Liesen; Tim Rocktäschel; Jakob Nicolaus Foerster; Ilija Bogunovic; Jack Parker-Holder Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: World Models; Reinforcement Learning; UED; Generalization
4381	Imitation Learning with Temporal Logic Constraints Authors: Zining Fan; He Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; linear temporal logic; imitation learning
4382	Improving Model-Based Reinforcement Learning by Converging to Flatter Minima Authors: Shrinivas Ramasubramanian; Benjamin Freed; Alexandre Capone; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Model-Based Reinforcement Learning; Flat Minima; Sharpness Aware Minimization
4383	Improving Monte Carlo Tree Search for Symbolic Regression Authors: Zhengyao Huang; Daniel Zhengyu Huang; Tiannan Xiao; Dina Ma; Zhenyu Ming; Hao Shi; Yuanhui Wen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Symbolic Regression; Monte Carlo Tree Search; Equation Discovery; Combinatorial Optimization
4384	Improving Regret Approximation for Unsupervised Dynamic Environment Generation Authors: Harry Mead; Bruno Lacerda; Jakob Nicolaus Foerster; Nick Hawes Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: UED; Reinforcement Learning
4385	Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning Authors: Yiwen Zhu; Jinyi Liu; Pengjie Gu; Yifu Yuan; Zhenxing Ge; Wenya Wei; Zhou Fang; Yujing Hu; Bo An Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Preference-based Reinforcement Learning
4386	Improving planning and MBRL with temporally-extended actions Authors: Palash Chatterjee; Roni Khardon Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: macro-actions; temporally-extended actions; model-based reinforcement learning; reinforcement learning; planning
4387	In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning Authors: Chao Li; Bingkun BAO; Yang Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Cooperative multi-agent reinforcement learning; Fully decentralized setting; Context modeling
4388	Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning Authors: Yichen Li; Chicheng Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: imitation learning; online learning; reinforcement learning
4389	Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning Authors: Ke Sun; Yingnan Zhao; Enze Shi; Yafei Wang; Xiaodong Yan; Bei Jiang; Linglong Kong Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: distributional learning; reinforcement learning; exploration; uncertainty
4390	Inverse Q-Learning Done Right: Offline Imitation Learning in $Q^\pi$-Realizable MDPs Authors: Antoine Moulin; Gergely Neu; Luca Viano Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: imitation learning; primal dual methods; sample complexity guarantees
4391	Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs Authors: Zhangyin Feng; Qianglong Chen; Ning Lu; Yongqian Li; Siqi Cheng; Shuangmu Peng; Duyu Tang; Shengcai Liu; Zhirui Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: PRM; LLM; RL; Reasoning
4392	KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity Authors: Gholamali Aminian; Amir R. Asadi; Idan Shenfeld; Youssef Mroueh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Alignment; multiple reference model; RLHF; Sample complexity
4393	KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration Authors: Dengwei Zhao; Shikui Tu; Yanan Sun; Lei Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: A* search; neural guided heuristic search; retrosynthesis planning
4394	Kinaema: a recurrent sequence model for memory and pose in motion Authors: Mert Bülent Sarıyıldız; Philippe Weinzaepfel; Guillaume Bono; Gianluca Monaci; Christian Wolf Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Embodied AI; sequence model; agent memory; relative pose estimation
4395	KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills Authors: Weiji Xie; Jinrui Han; Jiakun Zheng; Huanyu Li; Xinzhe Liu; Jiyuan Shi; Weinan Zhang; Chenjia Bai; Xuelong Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Humanoid Robots; Whole-Body Locomotion; Motion Imitation
4396	LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas Authors: Yun Hua; Shang Gao; Wenhao Li; Haosheng Chen; Bo Jin; Xiangfeng Wang; Jun Luo; Hongyuan Zha Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Sequential Social Dilemma
4397	LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search Authors: Pengyi Li; Hongyao Tang; Jinbin Qiao; YAN ZHENG; Jianye HAO Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Evolutionary Reinforcement Learning
4398	Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning Authors: Till Freihaut; Luca Viano; Volkan Cevher; Matthieu Geist; Giorgia Ramponi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Multi-Agent Reinforcement Learning; Imitation Learning; Multi-Agent Imitation Learning
4399	Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization Authors: Jian-Ting Guo; Yu-Cheng Chen; Ping-Chun Hsieh; Kuo-Hao Ho; Po-Wei Huang; Ti-Rong Wu; I-Chen Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Trajectory Optimization; Human-likeness; Reinforcement Learning; VQVAE
4400	Learning Interactive World Model for Object-Centric Reinforcement Learning Authors: Fan Feng; Phillip Lippe; Sara Magliacane Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: World Model; Object-Centric RL
4401	Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization Authors: Ziqi Wang; Jiashun Liu; Ling Pan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; multimodal policies; diversity
4402	Learning Parameterized Skills from Demonstrations Authors: Vedant Gupta; Haotian Fu; Calvin Luo; Yiding Jiang; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Skill Learning; Hierarchical Reinforcement Learning; Imitation Learning
4403	Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach Authors: Haitong Ma; Haoran Yu; Haobo Fu; Shuai Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Cooperative AI; offline preference learning; online adaptation
4404	Learning and Planning Multi-Agent Tasks via an MoE-based World Model Authors: Zijie Zhao; Zhongyue Zhao; Kaixuan Xu; Yuqian Fu; Jiajun Chai; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-task learning; Multi-agent reinforcement learning; Mixture of Experts; World model
4405	Learning from Demonstrations via Capability-Aware Goal Sampling Authors: Yuanlin Duan; Yuning Wang; Wenjie Qiu; He Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Demonstration; Goal-Conditioned Reinforcement Learning; Model-Based Reinforcement Learning; Exploration Strategies; Imitation Learning;…
4406	Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models Authors: Vlad Sobal; Wancong Zhang; Kyunghyun Cho; Randall Balestriero; Tim G. J. Rudner; Yann LeCun Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: self-supervised learning; representation learning; dynamic learning; offline rl; reward-free RL; goal-conditoined RL; zero-shot RL
4407	Learning to Control Free-Form Soft Swimmers Authors: Changyu Hu; Yanke Qu; Qiuan Yang; Xiaoyu Xiong; Kui Wu; Wei Li; Tao Du Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Soft Swimmer Agents; Swimming Simulation Environment; Morphological Generalization; Reinforcement Learning
4408	Learning to Plan Like the Human Brain via Visuospatial Perception and Semantic-Episodic Synergistic Decision-Making Authors: Tianyuan Jia; Ziyu Li; Qing Li; Xiuxing Li; Xiang Li; Chen Wei; Li Yao; Xia Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Brain-inspired learning; Motion planning; Graph neural networks
4409	Less is More: an Attention-free Sequence Prediction Modeling for Offline Embodied Learning Authors: Wei Huang; Jianshu Zhang; Leiyu Wang; Heyue Li; Luoyi Fan; Yichen Zhu; Nanyang Ye; Qinying Gu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Embodied Learning
4410	Leveraging Conditional Dependence for Efficient World Model Denoising Authors: Shaowei Zhang; Jiahan Cao; Dian Cheng; Xunlan Zhou; Shenghua Wan; Le Gan; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Model-Based Reinforcement Learning; Visual Inputs with Distractors; Conditional Dependence
4411	Linear Mixture Distributionally Robust Markov Decision Processes Authors: Zhishuai Liu; Pan Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: off dynamic reinforcement learning; distributionally robust MDP; linear mixture MDP
4412	Logic.py: Bridging the Gap between LLMs and Constraint Solvers Authors: Pascal Kesseli; Peter O'Hearn; Ricardo Silveira Cabral Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: formal reasoning; machine learning; large language models; constraint solvers
4413	MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures Authors: Elena Zamaraeva; Christopher Collins; George R Darling; Matthew Stephen Dyer; Bei Peng; Rahul Savani; Dmytro Antypov; Vladimir Gusev; Judith Clymo; Paul G. Spirakis; Matthew Rosse… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; learning to optimize; geometry optimization; local optimization; atomic structure optimization; crystal structure
4414	MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning Authors: Sizhe Tang; Jiayu Chen; Tian Lan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Monte Carlo Tree Search; Reinforcement Learning; Multi-Agent System
4415	MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning Authors: Yuchen Xia; Yunjian Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent offline safe reinforcement learning; decision transformer; self-distillation
4416	Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning Authors: Jiashun Liu; Zihao Wu; Johan Obando-Ceron; Pablo Samuel Castro; Aaron Courville; Ling Pan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Dormant Neurons; Neuron Resetting
4417	Meta-Learning Objectives for Preference Optimization Authors: Carlo Alfano; Silvia Sapora; Jakob Nicolaus Foerster; Patrick Rebeschini; Yee Whye Teh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Preference Optimisation; Evolution Strategies; Meta-Learning; Mirror Maps
4418	Meta-learning how to Share Credit among Macro-Actions Authors: Ionel Hosu; Traian Rebedea; Razvan Pascanu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: deep reinforcement learning; macro-actions; exploration
4419	MetaKoopman: Bayesian Meta-Learning of Koopman Operators for Modeling Structured Dynamics under Distribution Shifts Authors: Mahmoud Selim; Sriharsha Bhat; Karl Henrik Johansson Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Meta Learning; Koopman Theory; Motion Planning
4420	Mind the GAP! The Challenges of Scale in Pixel-based Deep Reinforcement Learning Authors: Ghada Sokar; Pablo Samuel Castro Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep RL; Scaling RL networks
4421	MisoDICE: Multi-Agent Imitation from Mixed-Quality Demonstrations Authors: The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Offline Imitation Learning; Large Language Models; Value Factorization
4422	Mixture-of-Experts Meets In-Context Reinforcement Learning Authors: Wenhao Wu; Fuhong Liu; Haoru Li; Zican Hu; Daoyi Dong; Chunlin Chen; Zhi Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: In-context reinforcement learning; mixture-of-experts; offline reinforcement learning; contrastive learning; transformers
4423	Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol Authors: Pai Liu; LingfengZhao; Shivangi Agarwal; Jinghan Liu; Audrey Huang; Philip Amortila; Nan Jiang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: model selection; off-policy evaluation
4424	Model-Based Policy Adaptation for Closed-Loop End-to-end Autonomous Driving Authors: Haohong Lin; Yunzhi Zhang; Wenhao Ding; Jiajun Wu; Ding Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Autonomous Driving; World Model; Policy Adaptation
4425	Multi-Agent Imitation by Learning and Sampling from Factorized Soft Q-Function Authors: Yi-Chen Li; Zhongxiang Ling; Tao Jiang; Fuxiang Zhang; Pengyuan Wang; Lei Yuan; Zongzhang Zhang; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Imitation Learning; Energy-Based Models; Inverse Reinforcement Learning
4426	Multi-Agent Reinforcement Learning with Communication-Constrained Priors Authors: Guang Yang; Tianpei Yang; Jingwen Qiao; Yanqing Wu; Jing Huo; Xingguo Chen; Yang Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; mutual information; lossy communication; communication-constrained prior
4427	Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach Authors: Woohyeon Byeon; Giseung Park; Jongseong Chae; Amir Leshem; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Multi-objective reinforcement learning
4428	Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP Authors: Yuxin Pan; Zhiguang Cao; Chengyang GU; Liu Liu; Peilin Zhao; Yize Chen; Fangzhen Lin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: vehicle routing problems; combinatorial optimization problems; reinforcement learning
4429	NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning Authors: Wonje Choi; Jooyoung Kim; Honguk Woo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Neurosymbolic; Large Language Model; Embodied Agent
4430	No Experts, No Problem: Avoidance Learning from Bad Demonstrations Authors: Huy Hoang; Tien Anh Mai; Pradeep Varakantham Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Imitation Learning; Imitation Learning; Avoidance Learning; Undesirable Demonstrations; Q Learning
4431	No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes Authors: Jasmine Bayrooti; Sattar Vakili; Amanda Prorok; Carl Henrik Ek Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Thompson sampling; reinforcement learning; Gaussian processes; regret bounds
4432	NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation Authors: Longtian Qiu; Shan Ning; Jiaxuan Sun; Xuming He Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Model; Reinforcement learning
4433	Non-rectangular Robust MDPs with Normed Uncertainty Sets Authors: Navdeep Kumar; Adarsh Gupta; Maxence Mohamed ELFATIHI; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust MDPs; Non-rectangular uncertainty sets; Robust Policy evaluation
4434	Normalizing Flows are Capable Models for Continuous Control Authors: Raj Ghugare; Benjamin Eysenbach Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Normalizing Flows; Control as Inference; Offline RL; Imitation Learning; Unsupervised Goal Conditioned RL
4435	Novel Exploration via Orthogonality Authors: Andreas Theophilou; Özgür Şimşek Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Laplacian; Novelty; Reinforcement Learning; Exploration; Eigenvectors; Spectral Methods
4436	OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation Authors: Raktim Gautam Goswami; Prashanth Krishnamurthy; Yann LeCun; Farshad Khorrami Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: One-Shot Visual Imitation Learning; World Model; Robot Learning
4437	Off-policy Reinforcement Learning with Model-based Exploration Augmentation Authors: Likun Wang; Xiangteng Zhang; Yinuo Wang; Guojian Zhan; Wenxuan Wang; Haoyu Gao; Jingliang Duan; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Model-based reinforcement learning; Model-based Exploration; Generative model; World model
4438	Offline Actor-Critic for Average Reward MDPs Authors: William Powell; Jeongyeol Kwon; Qiaomin Xie; Hanbaek Lyu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline; Actor-Critic
4439	Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations Authors: Vivek Myers; Bill Zheng; Benjamin Eysenbach; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Goal-conditioned reinforcement learning; metric learning
4440	On Evaluating Policies for Robust POMDPs Authors: Merlijn Krale; Eline M. Bovy; Maris F. L. Galesloot; Thiago D. Simão; Nils Jansen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust POMDPs; Policy evaluation; Planning under uncertainty
4441	On the Convergence of Single-Timescale Actor-Critic Authors: Navdeep Kumar; Priyank Agrawal; Giorgia Ramponi; Kfir Yehuda Levy; Shie Mannor Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Policy Gradient; Reinforcement Learning; Actor-Critic Algorithms; Sample Complexity; Convergence
4442	On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning Authors: Anas Barakat; Souradip Chakraborty; Peihong Yu; Pratap Tokekar; Amrit Singh Bedi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: policy gradient methods; reinforcement learning with general utilities
4443	On the Sample Complexity Bounds of Bilevel Reinforcement Learning Authors: Mudit Gaur; Utsav Singh; Amrit Singh Bedi; Raghu Pasupathy; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Bilevel Reinforcement Learning; Sample Complexity; Gradient Descent; Bilevel Optimization
4444	One Subgoal at a Time: Zero-Shot Generalization to Arbitrary Linear Temporal Logic Requirements in Multi-Task Reinforcement Learning Authors: Zijian Guo; İlker Işık; H M Sabbir Ahmad; Wenchao Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Linear Temporal Logic; Safe Reinforcement Learning; Zero-shot Generalization
4445	Online Optimization for Offline Safe Reinforcement Learning Authors: Yassine Chemingui; Aryan Deshwal; Alan Fern; Thanh Nguyen-Tang; Jana Doppa Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Sequential Decision Making; Offline Safe RL; Minimax Optimization; No-Regret Algorithms
4446	Open-World Drone Active Tracking with Goal-Centered Rewards Authors: Haowei Sun; Jinwu Hu; Zhirui Zhang; Haoyuan Tian; Xinze Xie; Yufeng Wang; Xiaohua Xie; Yun Lin; Zhuliang Yu; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Drone Tracking Agent; Drone Active Tracking; Goal-Centered Reward Design; Open-World Tracking Benchmark; Cross-Domain Generalization in Drone Tracking
4447	Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning Authors: Baiyuan Chen; Shinji Ito; Masaaki Imaizumi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: transformer; in-context learning; reinforcement learning; bandit problem; non-stationary
4448	Optimal Regret Bounds via Low-Rank Structured Variation in Non-Stationary Reinforcement Learning Authors: Tuan Quang Dam Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Non-Stationary Reinforcement Learning
4449	Optimal Single-Policy Sample Complexity and Transient Coverage for Average-Reward Offline RL Authors: Matthew Zurek; Guy Zamir; Yudong Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RL theory; offline RL; average-reward RL; sample complexity; minimax lower bounds
4450	Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Authors: Jiarui Yao; Yifan HAO; Hanning Zhang; Hanze Dong; Wei Xiong; Nan Jiang; Tong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Large Language Models; Reinforcement Learning; Math Reasoning; Gradient Variance Minimization
4451	OrbitZoo: Real Orbital Systems Challenges for Reinforcement Learning Authors: Alexandre Oliveira; Katarina Dyreby; Francisco Miguel Caldas; Claudia Soares Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Orbital Dynamics; Data Generation
4452	Oryx: a Scalable Sequence Model for Many-Agent Coordination in Offline MARL Authors: Juan Claude Formanek; Omayma Mahjoub; Louay Ben Nessir; Sasha Abramowitz; Ruan John de Kock; Wiem Khlifi; Daniel Rajaonarivonivelomanantsoa; Simon Verster Du Toit; Arnol Manuel Fo… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; offline reinforcement learning; multi-agent reinforcement learning; offline multi-agent reinforcement learning
4453	PARCO: Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Authors: Federico Berto; Chuanbo Hua; Laurin Luttmann; Jiwoo Son; Junyoung Park; Kyuree Ahn; Changhyun Kwon; Lin Xie; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-agent Combinatorial Optimization; Multi-agent Reinforcement Learning; Neural Combinatorial Optimization
4454	Partner Modelling Emerges in Recurrent Agents (But Only When It Matters) Authors: Ruaridh Mon-Williams; Max Taylor-Davies; Elizabeth Mieczkowski; Natalia Vélez; Neil R Bramley; Yanwei Wang; Thomas L. Griffiths; Christopher G. Lucas Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; partner modelling; emergent representations; collaboration
4455	Periodic Skill Discovery Authors: Jonghae Park; Daesol Cho; Jusuk Lee; Dongseok Shim; Inkyu Jang; H. Jin Kim Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; unsupervised skill discovery; periodicity
4456	Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning Authors: Vittorio Giammarino; Ruiqi Ni; Ahmed H Qureshi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline Goal-Conditioned RL; Physics-informed Neural Networks
4457	Planning and Learning in Average Risk-aware MDPs Authors: Weikai Wang; Erick Delage Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: average cost markov decision processes; dynamic risk measure; relative value iteration; Q-learning; reinforcement learning
4458	Planning without Search: Refining Frontier LLMs with Offline Goal-Conditioned RL Authors: Joey Hong; Anca Dragan; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: LLM; reasoning; planning; reinforcement learning
4459	PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning Authors: Xiaogang Jia; Qian Wang; Anrui Wang; Han A. Wang; Balázs Gyenes; Emiliyan Gospodinov; Xinkai Jiang; Ge Li; Hongyi Zhou; Weiran Liao; Xi Huang; Maximilian Beck; Moritz Reuss; Rudol… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Point Cloud; Robot Manipulation
4460	Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning Authors: Jongchan Park; Mingyu Park; Donghwan Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Data Efficiency
4461	Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward Authors: Dipendra Misra; Aldo Pacchiano; Ta-Chung Chi; Ge Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: LLM post-training; Learning from interaction; user-edits; reinforcement learning; preference learning
4462	Prior-Guided Diffusion Planning for Offline Reinforcement Learning Authors: Donghyeon Ki; JunHyeok Oh; Seong-Woong Shim; Byung-Jun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Diffusion Models; Offline Reinforcement Learning; Planning
4463	Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning Authors: Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Process-Supervision; Agentic RAG
4464	Progress Reward Model for Reinforcement Learning via Large Language Models Authors: Xiuhui Zhang; Ning Gao; Xingyu Jiang; Yihui Chen; Yuheng Pan; Mohan Zhang; Yue Deng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Large Language Models; Reward Design
4465	Prompt Tuning Decision Transformers with Structured and Scalable Bandits Authors: Finn Rietz; Oleg Smirnov; Sara Karimi; Lele Cao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Decision Transformer; Prompt tuning; Bandits; Multi-task transfer
4466	Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMs Authors: Yifan Zhou; Sachin Grover; Mohamed El Mistiri; Kamalesh Kalirathinam; Pratyush Kerhalkar; Swaroop Mishra; Neelesh Kumar; Sanket Gaurav; Oya Aran; Heni Ben Amor Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; LLM; In-Context Learning; Linguistic and Numerical Optimization
4467	Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents Authors: Zhizhen Zhang; Lei Zhu; Zhen Fang; Zi Huang; Yadan Luo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: multimodal pretraining; embodied AI; robot manipulation
4468	Provably Efficient Online RLHF with One-Pass Reward Modeling Authors: Long-Fei Li; Yu-Yang Qian; Peng Zhao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RLHF; LLMs; reinforcement learning; online learning; online mirror descent; contextual bandit
4469	RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks Authors: Mingxuan Yan; Yuping Wang; Zechun Liu; Jiachen Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Sub-task Discovery; Robotic Learning
4470	REINFORCE Converges to Optimal Policies with Any Learning Rate Authors: Samuel McLaughlin Robertson; Thang D. Chu; Bo Dai; Dale Schuurmans; Csaba Szepesvari; Jincheng Mei Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Policy gradient; Convergence; Bandits
4471	RLZero: Direct Policy Inference from Language Without In-Domain Supervision Authors: Harshit Sikchi; Siddhant Agarwal; Pranaya Jajoo; Samyak Parajuli; Caleb Chuck; Max Rudolph; Peter Stone; Amy Zhang; Scott Niekum Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Zero-shot RL; Unsupervised RL; Behavior Foundation Models
4472	Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays Authors: Songchen Fu; Siang Chen; Shaojing Zhao; Letian Bai; Hong Liang; Ta Li; Yonghong Yan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Signal Delay; Multi-agent System
4473	Real-DRL: Teach and Learn at Runtime Authors: Yanbing Mao; Yihao Cai; Lui Sha Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Safety; Dual Self-Learning and Teaching-to-Learn; Safety-Status-Dependent Batch Sampling; Autonomous Systems
4474	Real-Time Execution of Action Chunking Flow Policies Authors: Kevin Black; Manuel Y Galliker; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: diffusion policy; flow matching; realtime; real-time; action chunking; VLA; vision-language-action; robotics; control; manipulation
4475	Real-World Reinforcement Learning of Active Perception Behaviors Authors: Edward S. Hu; Jie Wang; Xingfang Yuan; Fiona Luo; Muyao Li; Gaspard Lambrechts; Oleh Rybkin; Dinesh Jayaraman Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: robotics; reinforcement learning; imitation learning; active perception; privileged information
4476	Rebalancing Return Coverage for Conditional Sequence Modeling in Offline Reinforcement Learning Authors: Wensong Bai; Chufan Chen; Yichao Fu; Qihang Xu; Chao Zhang; Hui Qian Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Conditional Sequence Modeling; Return Coverage Rebalancing
4477	Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach Authors: Swetha Ganesh; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Actor-Critic; Regret; Policy Gradient; Average-reward MDP; Unichain MDP
4478	Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems Authors: Utkarsh U. Chavan; Prashant Trivedi; Nandyala Hemachandra Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Lower Bounds; Decentralized MARL; Stochastic Shortest Path; Reinforcement Learning; Feature Design
4479	Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning Authors: Haochen Zhang; Zhong Zheng; Lingzhou Xue Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Federated Learning; Regret; Policy Switching Cost; Communication Cost
4480	ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning Authors: Tonghe Zhang; Chao Yu; Sichang Su; Yu Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Online Reinforcement Learning; Flow Matching Policy; Fine-tuning; Robot Learning
4481	Reinforcement Learning with Action Chunking Authors: Qiyang Li; Zhiyuan Zhou; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; offline-to-online RL; exploration
4482	Reinforcement learning for one-shot DAG scheduling with comparability identification and dense reward Authors: Xumai Qi; Dongdong Zhang; Taotao Liu; Hongcheng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: DAG scheduling; graph theory; combinatorial optimization problem; reinforcement learning
4483	Retrospective In-Context Learning for Temporal Credit Assignment with Large Language Models Authors: Wentse Chen; Jiayu Chen; Fahim Tajwar; Hao Zhu; Xintong Duan; Ruslan Salakhutdinov; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: In-Context Learning; Credit Assignment; Large Language Models; Reinforcement Learning
4484	Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective Authors: Yang Zhang; Xinran Li; Jianing Ye; Shuang Qiu; Delin Qu; Xiu Li; Chongjie Zhang; Chenjia Bai Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Model-based Reinforcement Learning; World Models; Learning in Imaginations; Diffusion Models
4485	Reward-Aware Proto-Representations in Reinforcement Learning Authors: Hon Tik Tse; Siddarth Chandrasekar; Marlos C. Machado Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Representation Learning; Proto-Representation; Default Representation; Successor Representation
4486	Reward-Instruct: A Reward-Centric Approach to Fast Photo-Realistic Image Generation Authors: Yihong Luo; Tianyang Hu; Weijian Luo; Kenji Kawaguchi; Jing Tang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reward-Centric Efficient Image Synthesis
4487	Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents Authors: Jane H. Lee; Baturay Saglam; Spyridon Pougkakiotis; Amin Karbasi; Dionysis Kalogerias Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: policy search; optimized certainty equivalents; risk aware learning
4488	Risk-Averse Total-Reward Reinforcement Learning Authors: Xihong Su; Jia Lin Hau; Gersi Doko; Kishan Panaganti; Marek Petrik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Q-learning; ERM; EVaR; total reward criterion
4489	RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics Authors: Enshen Zhou; Jingkun An; Cheng Chi; Yi Han; Shanyu Rong; Chi Zhang; Pengwei Wang; Zhongyuan Wang; Tiejun Huang; Lu Sheng; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Spatial Referring; Spatial Reasoning; Vision-Language Model; Robotics
4490	RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills Authors: Chunru Lin; Haotian Yuan; Yian Wang; Xiaowen Qiu; Tsun-Hsuan Wang; Minghao Guo; Bohan Wang; Yashraj Narang; Dieter Fox; Chuang Gan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robotic Tool Design; Robotic Tool Use; Soft Material Manipulation; Generative Models
4491	Robust Policy Expansion for Offline-to-Online RL under Diverse Data Corruption Authors: Longxiang He; Deheng Ye; Junbo Tan; Xueqian Wang; Li Shen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust RL; Offline-to-Online; Data Corruption
4492	Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets Authors: Shaocong Ma; Heng Huang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: finance; robust reinforcement learning; algorithmic trading; reinforcement learning
4493	Robust and Diverse Multi-Agent Learning via Rational Policy Gradient Authors: Niklas Lauffer; Ameesh Shah; Micah Carroll; Sanjit A. Seshia; Stuart Russell; Michael D Dennis Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; adversarial training; robustness; multi-agent learning; opponent shaping; general-sum
4494	Robust and Scalable Autonomous Reinforcement Learning in Irreversible Environments Authors: Sang-Hyun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Autonomous Reinforcement Learning
4495	Role-aware Multi-agent Reinforcement Learning for Coordinated Emergency Traffic Control Authors: Ming Cheng; Hao Chen; Zhiqing Li; Jia Wang; Senzhang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning
4496	SAFE: Multitask Failure Detection for Vision-Language-Action Models Authors: Qiao Gu; Yuanliang Ju; Shengxiang Sun; Igor Gilitschenski; Haruki Nishimura; Masha Itkina; Florian Shkurti Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Failure Detection; Vision-Language-Action Models; Conformal Prediction
4497	SAMPO: Scale-wise Autoregression with Motion Prompt for Generative World Models Authors: Sen Wang; Jingyi Tian; Le Wang; Zhimin Liao; lijiayi; Huaiyi Dong; Kun Xia; Sanping Zhou; Wei Tang; Gang Hua Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: World Model; Video Prediction; Robotic Control
4498	SOMBRL: Scalable and Optimistic Model-Based RL Authors: Bhavya Sukhija; Lenart Treven; Carmelo Sferrazza; Florian Dorfler; Pieter Abbeel; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; RL Regret bounds in Kernelized Setting; Deep RL
4499	SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes Authors: Xuyuan Xiong; Pedro Chumpitaz-Flores; Kaixun Hua; Cheng Hua Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Decision Tree; Markov Decision Processes
4500	SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer Authors: Yarden As; Chengrui Qu; Benjamin Unger; Dongho Kang; Max van der Hart; Laixi Shi; Stelian Coros; Adam Wierman; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Safe Reinforcement Learning; Deep Reinforcement Learning; Sim-to-Real; Constrained Markov Decision Processes
4501	SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning Authors: Peixian MA; Xialie Zhuang; Chengjin Xu; Xuhui Jiang; Ran Chen; Jian Guo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: NL2SQL; Reinforcement Learning; Synthetic Data; Model Reasoning
4502	STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning Authors: Yao Luan; Ni Mu; Yiqin Yang; Bo XU; Qing-Shan Jia Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; preference based reinforcement learning
4503	STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization Authors: Fengshuo Bai; Rui Zhao; Hongming Zhang; Sijia Cui; Shao Zhang; bo xu; Lei Han; Ying Wen; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: preference-based RL
4504	Safe and Stable Control via Lyapunov-Guided Diffusion Models Authors: Xiaoyuan Cheng; Xiaohang Tang; Yiming Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: safe and stable control; diffusion for control; Lyapunov-guided sampling
4505	Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning Authors: Zijun Chen; Shengbo Wang; Nian Si Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Distributional Robustness; Markov Decision Process; Ergodicity; Long-run Average Reward
4506	Scaffolding Dexterous Manipulation with Vision-Language Models Authors: Vincent de Bakker; Joey Hejna; Tyler Ga Wei Lum; Onur Celik; Aleksandar Taranovic; Denis Blessing; Gerhard Neumann; Jeannette Bohg; Dorsa Sadigh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Dexterous Manipulation; Vision-Language Models; Reinforcement Learning
4507	Scalable Exploration via Ensemble++ Authors: Yingru Li; Jiawei Xu; Baoxiang Wang; Zhi-Quan Luo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Ensemble Sampling; Thompson Sampling; Exploration; Posterior Approximation; Scalable Computation
4508	Scalable Neural Incentive Design with Parameterized Mean-Field Approximation Authors: Nathan Corecco; Batuhan Yardim; Vinzenz Thoma; Zebang Shen; Niao He Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Mean-Field Games; Equilibrium; Optimization; Mechanism Design; Auctions; Game Theory
4509	Scalable Policy-Based RL Algorithms for POMDPs Authors: Ameya Anjarlekar; S. Rasoul Etesami; R. Srikant Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Partially Observable Markov Decision Processes; TD Learning; Reinforcement Learning
4510	Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization Authors: Daniel Palenicek; Florian Vogt; Joe Watson; Jan Peters Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: deep reinforcement learning; batch normalization; weight normalization; update-to-data ratio
4511	Scaling Offline RL via Efficient and Expressive Shortcut Models Authors: Nicolas Espinosa-Dice; Yiyi Zhang; Yiding Chen; Bradley Guo; Owen Oertell; Gokul Swamy; Kianté Brantley; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; shortcut models
4512	Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning Authors: Yaorui Shi; Sihang Li; Chang Wu; Zhiyuan Liu; Junfeng Fang; Hengxing Cai; An Zhang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Large Language Model; Reinforcement Learning; Retrieval-Augmented Reasoning
4513	Seeing through Uncertainty: Robust Task-Oriented Optimization in Visual Navigation Authors: Yiyuan Pan; Yunzhe XU; Zhe Liu; Hesheng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Visual Navigation; Deep Reinforcement Learning; Task-based Model; Uncertainty Calibration
4514	Self-Improving Embodied Foundation Models Authors: Seyed Kamyar Seyed Ghasemipour; Ayzaan Wahid; Jonathan Tompson; Pannag R Sanketi; Igor Mordatch Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robotics; Foundation Models; Self-Improvement; Reinforcement Learning
4515	Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Authors: Hany Abdulsamad; Sahel Iqbal; Simo Särkkä Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: POMDP; Policy Optimization; Sequential Monte Carlo; Feynman–Kac; Control-as-Inference; Decision-Making under Uncertainty
4516	Sequential Multi-Agent Dynamic Algorithm Configuration Authors: Chen Lu; Ke Xue; Lei Yuan; Yao Wang; Yaoyuan Wang; Fu Sheng; Chao Qian Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Dynamic algorithm configuration; automl; reinforcement leraning; multi-agent reinforcement learning
4517	ShiQ: Bringing back Bellman to LLMs Authors: Pierre Clavier; Nathan Grinsztajn; Raphaël Avalos; Yannis Flet-Berliac; Irem Ergun; Omar Darwiche Domingues; Olivier Pietquin; Pierre Harvey Richemond; Florian Strub; Matthieu Gei… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning with Human Feedbacks; Reinforcement Learning; Q-Learning
4518	Simultaneous Statistical Inference for Off-Policy Evaluation in Reinforcement Learning Authors: Tianpai Luo; Xinyuan Fan; Weichi Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: off-policy evaluation; simultaneous confidence region; convex Gaussian approximation; bootstrap; reinforcement learning
4519	Skill-Driven Neurosymbolic State Abstractions Authors: Alper Ahmetoglu; Steven James; Cameron Allen; Sam Lobel; David Abel; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: state abstraction; reinforcement learning
4520	Social World Model-Augmented Mechanism Design Policy Learning Authors: Xiaoyuan Zhang; Yizhe Huang; Chengdong Ma; Zhixun Chen; Long Ma; Yali Du; Song-Chun Zhu; Yaodong Yang; Xue Feng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning
4521	Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics Authors: Lorenzo Magnino; Kai Shao; Zida Wu; Jiacheng Shen; Mathieu Lauriere Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Mean Field Games
4522	Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems Authors: Marcos Negre Saura; Richard Allmendinger; Wei Pan; Theodore Papamarkou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Computational Neuroscience; Deep Learning; Ring Attractors; Spatial Awareness; Bioinspired
4523	Spectral Learning for Infinite-Horizon Average-Reward POMDPs Authors: Alessio Russo; Alberto Maria Metelli; Marcello Restelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Infinite-Horizon; Average-Reward POMDPs; Spectral Learning; Regret Minimization
4524	Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement Learning Authors: Sid Bharthulwar; Stone Tao; Hao Su Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; robotics; ppo; on-policy; simulation
4525	State-Covering Trajectory Stitching for Diffusion Planners Authors: Kyowoon Lee; Jaesik Choi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Trajectory Optimization; Diffusion Models; Trajectory Stitching
4526	Strategyproof Reinforcement Learning from Human Feedback Authors: Thomas Kleine Buening; Jiarui Gan; Debmalya Mandal; Marta Kwiatkowska Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning from human feedback; pluralistic alignment; mechanism design; strategyproofness; incentive-compatibility
4527	Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning Authors: Xianghua Zeng; Hao Peng; Yicheng Pan; Angsheng Li; Guanlin Wu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: offline reinforcement learning; diffusion models; structural information principles
4528	Structure Matters: Dynamic Policy Gradient Authors: Sara Klein; Xiangyuan Zhang; Tamer Basar; Simon Weissmann; Leif Döring Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; policy gradient; dynamic programming
4529	Structured Reinforcement Learning for Combinatorial Decision-Making Authors: Heiko Hoppe; Léo Baty; Louis Bouvier; Axel Parmentier; Maximilian Schiffer Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: deep reinforcement learning; combinatorial action spaces; structured learning
4530	Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control Authors: Georgios Papoudakis; Thomas Coste; Jianye HAO; Jun Wang; Kun Shao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: App Control; Reinforcement Learning
4531	TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making Authors: Shanshan Li; Da Huang; Yu He; Yanwei Fu; Yu-Gang Jiang; Xiangyang Xue Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Long-Horizon Task Planning; Continuous Vision and Language Navigation; Demand-Driven Navigation; Autonomous Decision-Making; Unseen Environment; Large Vision-L…
4532	Tackling Continual Offline RL through Selective Weights Activation on Aligned Spaces Authors: Jifeng Hu; Sili Huang; Li Shen; Zhejian Yang; Shengchao Hu; Shisong Tang; Hechang Chen; Lichao Sun; Yi Chang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; continual learning
4533	Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Authors: Vivek Myers; Bill Zheng; Anca Dragan; Kuan Fang; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robotics; Representation Learning
4534	Text-to-Decision Agent: Offline Meta-Reinforcement Learning from Natural Language Supervision Authors: Shilin Zhang; Zican Hu; Wenhao Wu; Xinyi Xie; Jianxiang Tang; Chunlin Chen; Daoyi Dong; Yu Cheng; Zhenhong Sun; Zhi Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline meta-reinforcement learning; reinforcement learning; world model
4535	Thinker: Learning to Think Fast and Slow Authors: Stephen Chung; Wenyu Du; Jie Fu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reasoning; Large Language Models; Dual Process Theory
4536	Time Reversal Symmetry for Efficient Robotic Manipulations in Deep Reinforcement Learning Authors: Yunpeng Jiang; Jianshu Hu; Paul Weng; Yutong Ban Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Robotics Control
4537	Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper Authors: Xinyue Zhu; Binghao Huang; Yunzhu Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Visuo-Tactile Sensing; Fine-Grained Manipulation; Scalable Data Collection
4538	Toward Artificial Palpation: Representation Learning of Touch on Soft Bodies Authors: Zohar Rimon; Elisei Shafer; Tal Tepper; Efrat Shimron; Aviv Tamar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Tactile sensors; Touch processing; Robotics; Self-supervised learning
4539	Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds Authors: Fan Wang; Pengtao Shao; Yiming Zhang; Bo Yu; Shaoshan Liu; Ning Ding; Yang Cao; Yu Kang; Haifeng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Meta-Learning; In-Context Reinforcement Learning; In-Context Learning
4540	Towards Principled Unsupervised Multi-Agent Reinforcement Learning Authors: Riccardo Zamboni; Mirco Mutti; Marcello Restelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: unsupervised reinforcement learning; state entropy maximization; multi-agent reinforcement learning; convex reinforcement learning
4541	Towards Provable Emergence of In-Context Reinforcement Learning Authors: Jiuqi Wang; Rohan Chandra; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: in-context reinforcement learning; policy evaluation; transformers
4542	Towards Robust Zero-Shot Reinforcement Learning Authors: Kexin ZHENG; Lauriane Teyssier; Yinan Zheng; Yu Luo; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Zero-shot Reinforcement Learning; Offline Reinforcement Learning
4543	Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning Authors: Yurun Yuan; Fan Chen; Zeyu Jia; Alexander Rakhlin; Tengyang Xie Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: large language models; value-based reinforcement learning; LLM post-training
4544	Tree-Guided Diffusion Planner Authors: Hyeonseong Jeon; Cheolhong Min; Jaesik Park Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: diffusion-based planning; zero-shot planning; training-free guidance; decision making
4545	Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs Authors: Wenjing Tang; Xinyu He; Yongxi Huang; Yunxiao Xiao; Cewu Lu; Panpan Cai Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robotics; Planning under uncertainty; Robot task planning; Large language models; POMDPs
4546	Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm Authors: Yang Chen; Menglin Zou; Jiaqi Zhang; Yitan Zhang; Junyi Yang; Gael Gendron; Libo Zhang; Jiamou Liu; Michael J. Witbrock Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Imitation Learning; Stablization; Trust Region; Majorization-Minimization
4547	Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound Authors: Tal Fiskus; Uri Shaham Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep Reinforcement Learning; Causal Reinforcement Learning
4548	Uncertainty-Based Smooth Policy Regularisation for Reinforcement Learning with Few Demonstrations Authors: Yujie Zhu; Charles Alexander Hepburn; Matthew Thorpe; Giovanni Montana Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Learning from Demonstrations
4549	Uncertainty-Guided Exploration for Efficient AlphaZero Training Authors: Scott Cheng; Meng-Yu Tsai; Ding-Yong Hong; Mahmut Kandemir Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: AlphaZero; uncertainty; exploration
4550	Uncertainty-Sensitive Privileged Learning Authors: Fan-Ming Luo; Lei Yuan; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Gap; Reinforcement Learning; Privileged Learning; Teacher-Student Learning
4551	Uncertainty-aware Preference Alignment for Diffusion Policies Authors: Runqing Miao; Sheng Xu; Runyi Zhao; Wai Kin Victor Chan; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Preference-based Reinforcement Learning; Diffusion Model; Uncertainty Awareness
4552	Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization Authors: Haoran Xu; Liyuan Mao; Hui Jin; Weinan Zhang; Xianyuan Zhan; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: off-policy RL; offline RL; online RL; offline-to-online RL
4553	UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning Authors: Haoming Ye; Yunxiao Xiao; Cewu Lu; Panpan Cai Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robotics; Task Planning; Symbolic Planning; Vision Language Models; Robotic Knowledge Graph
4554	VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching Authors: Siyu Xu; Yunke Wang; Chenghao Xia; Dihao Zhu; Tao Huang; Chang Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Vision-Language-Action Model; Efficient Inference; Robotics
4555	Value Diffusion Reinforcement Learning Authors: Xiaoliang Hu; Fuyun Wang; Tong Zhang; Zhen Cui Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Value Diffusion learning; Distributional Reinforcement Learning
4556	Value Improved Actor Critic Algorithms Authors: Yaniv Oren; Moritz Akiya Zanger; Pascal R. Van der Vaart; Mustafa Mert Çelikok; Wendelin Boehmer; Matthijs T. J. Spaan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; actor critic; policy improvement operators
4557	Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings Authors: Hongling Zheng; Li Shen; Yong Luo; Deheng Ye; Shuhan Xu; Bo Du; Jialie Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Offline RL; Conditional Sequence Modeling; Decision Transformer
4558	Value-Guided Search for Efficient Chain-of-Thought Reasoning Authors: Kaiwen Wang; Jin Peng Zhou; Jonathan Daniel Chang; Zhaolin Gao; Nathan Kallus; Kianté Brantley; Wen Sun Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Value-Guided Search; Chain-of-Thought Reasoning; Competition Math
4559	Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations Authors: Xin Liu; Haoran Li; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation learning from videos; Online policy learning; Behavior cloning; Unsuerpvised learning; Visual reinforcement learning
4560	WHAT MAKES MATH PROBLEMS HARD FOR REINFORCEMENT LEARNING: A CASE STUDY Authors: Ali Shehper; Anibal M. Medina-Mardones; Lucas Fagan; Bartłomiej Lewandowski; Angus Gruen; Yang Qiu; Piotr Kucharski; Zhenghan Wang; Sergei Gukov Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning for mathematics; sparse-rewards search; long-horizon tasks; topological data analysis
4561	WeatherPrompt: Multi-modality Representation Learning for All-Weather Drone Visual Geo-Localization Authors: Jiahao Wen; Hang Yu; Zhedong Zheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Training-free; Geolocalization; Text Guidance; Drone Navigation
4562	What Can RL Bring to VLA Generalization? An Empirical Study Authors: Jijia Liu; Feng Gao; Bingwen Wei; Xinlei Chen; Qingmin Liao; Yi Wu; Chao Yu; Yu Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Vision-Language-Action Model; Policy Generalization
4563	When Can Model-Free Reinforcement Learning be Enough for Thinking? Authors: Josiah P. Hanna; Nicholas E. Corrado Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; thinking; model-free; planning
4564	When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses Authors: Antoine Moulin; Emmanuel Esposito; Dirk van der Hoeven Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: prediction with expert advice; adaptive algorithms; regret minimization
4565	Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration Authors: Yiyuan Pan; Zhe Liu; Hesheng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Intrinsic Reward; Artificial Curiosity
4566	World Models as Reference Trajectories for Rapid Motor Adaptation Authors: Carlos Stein Brito; Daniel C McNamee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Motor Adaptation; Model-based RL; Rapid Adaptation; Model Reference Control; Data Efficiency; Naturalistic Motor Control
4567	World-aware Planning Narratives Enhance Large Vision-Language Model Planner Authors: Junhao Shi; Zhaoye Fei; Siyin Wang; Qipeng Guo; Jingjing Gong; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: planning; embodied; LVLMs
4568	Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts Authors: James Chapman; Kedar Karhadkar; Guido Montufar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Zero-Shot Generalization; Contextual MDPs; Robust Machine Learning
4569	Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks Authors: Ruijia Liu; Ancheng Hou; Xiao Yu; Xiang Yin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: signal temporal logic; diffusion model; trajectory planning
4570	Zero-shot World Models via Search in Memory Authors: Federico Malato; Ville Hautamaki Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: world models; reinforcement learning; imitation learning; similarity search
4571	A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances Authors: Zongrui Zou; Chenglin Fan; Michael Dinitz; Jingcheng Liu; Jalaj Upadhyay Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; graph theory
4572	A Private Approximation of the 2nd-Moment Matrix of Any Subsamplable Input Authors: Bar Mahpud; Or Sheffet Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Second Moment Estimation; High-Dimensional Statistics; Subsampling; Private Learning
4573	A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation Authors: Yiwen Tu; Pingbang Hu; Jiaqi W. Ma Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Differential Privacy; Membership Inference Attacks; Cryptography
4574	A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances Authors: Zichong Wang; Zhipeng Yin; Wenbin Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fairness; Graph Generation; GNN
4575	AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs Authors: Lara Magdalena Lazier; Aritra Dhar; Vasilije Stambolic; Lukas Cavigelli Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Information access control; Secure LLM; corporate LLM; LoRA
4576	ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models Authors: Weifei Jin; Yuxin Cao; Junjie Su; Jason Xue; Jie Hao; Ke Xu; Jin Song Dong; Derui Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Audio-Language Model; Jailbreaking; Blue-teaming; AI Safety
4577	AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness Authors: Zhuoqun Huang; Neil G Marchant; Olga Ohrimenko; Benjamin I. P. Rubinstein Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Randomized Smoothing; Certified Robustness; Adversarial Training
4578	AdaptGrad: Adaptive Sampling to Reduce Noise Authors: Linjiang Zhou; Chao Ma; Zepeng Wang; Libing Wu; XIAOCHUAN SHI Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable Artificial Intelligence; Neural Networks; Gradient Smoothing
4579	Adaptive Data Analysis for Growing Data Authors: Neil G Marchant; Benjamin I. P. Rubinstein Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adaptive data analysis; generalization; differential privacy; false discovery
4580	Adaptive Sigmoid Clipping for Balancing the Direction–Magnitude Mismatch Trade-off in Differentially Private Learning Authors: Faeze Moradi Kalarde; Ali Bereyhi; Ben Liang; Min Dong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Stochastic Gradient Descent; Deep Learning
4581	Additive Models Explained: A Computational Complexity Approach Authors: Shahaf Bassan; Michal Moshkovitz; Guy Katz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: explainability; computational complexity; XAI; explainable AI; interpretability; GAM; Generalized Additive Models; formal XAI; NAM; EBM; neural additive model;…
4582	Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency Authors: Yukun Jiang; Mingjie Li; Michael Backes; Yang Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Jailbreak
4583	Advancing Interpretability of CLIP Representations with Concept Surrogate Model Authors: Nhat Hoang-Xuan; Xiyuan Wei; Wanli Xing; Tianbao Yang; My T. Thai Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Surrogate Model; Concept-based explanations; Representation Learning; Interpretability; CLIP
4584	Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment Authors: Xiaojun Jia; Sensen Gao; Simeng Qin; Tianyu Pang; Chao Du; Yihao Huang; Xinfeng Li; Yiming Li; Bo Li; Yang Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Transferable Adversarial Attacks; Feature Optimal Alignment
4585	AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference Authors: CHE WANG; Ziqi Zhang; Yinggui Wang; Tiantong Wang; Yurong Hao; Jianbo Gao; Tao Wei; YANG CAO; Zhong Chen; Wei Yang Bryan Lim Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Trusted Execution Environment; TEE; TEE-Shielded DNN Partition; Model Stealing Attack; Split inference
4586	AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents Authors: Hanjun Luo; Shenyu Dai; Chiming Ni; Xinfeng Li; Guibin Zhang; Kun Wang; Tongliang Liu; Hanan Salam Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Agent Safety; Agent Security; LLM-as-a-Judge
4587	Aligning Compound AI Systems via System-level DPO Authors: Xiangwen Wang; Yibo Jacky Zhang; Zhoujie Ding; Katherine Tsai; Haolun Wu; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: alignment; compound AI system; preference learning; DPO
4588	An Iterative Algorithm for Differentially Private $k$-PCA with Adaptive Noise Authors: Johanna Düngler; Amartya Sanyal Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Stochastic PCA; Adaptive Noise
4589	Analogy-based Multi-Turn Jailbreak against Large Language Models Authors: Mengjie Wu; Yihao Huang; Zhenjun Lin; Kangjie Chen; Yuyang zhang; Yuhan Huang; Run Wang; Lina Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Multi-turn jailbreak; large language models
4590	Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool Authors: Jiangtong Li; Dongyi Liu; Kun Zhu; Dawei Cheng; Changjun Jiang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Graph Backdoor Attack; Graph Neural Networks; Node Classification
4591	Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools Authors: Kanghua Mo; Li Hu; Yucheng Long; Zhihao li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Attractive Metadata Attack; Tool Metadata Manipulation; LLM Agent Security
4592	Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives Authors: Sarah H. Cen; Salil Goyal; Zaynah Javed; Ananya Karthik; Percy Liang; Daniel E. Ho Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI audits; less discriminatory alternatives; scaling laws; Pareto frontiers; burden of proof
4593	Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models Authors: Yue Xu; Chengyan Fu; Li Xiong; Sibei Yang; Wenjie Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: model biasevaluation; bias mitigation; ethical considerations in NLP applications
4594	AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration Authors: Andy Zhou; Kevin Wu; Francesco Pinto; Zhaorun Chen; Yi Zeng; Yu Yang; Shuang Yang; Sanmi Koyejo; James Zou; Bo Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adversarial robustness; large language models; jailbreaking; ai agents
4595	Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection Authors: Michelle Yuan; Khushbu Pahwa; Shuaichen Chang; Mustafa Devrim Kaba; Jiarong Jiang; Xiaofei Ma; Yi Zhang; MONICA SUNKARA Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: large language models; llm agents; combinatorial optimization; knapsack algorithm; agent composition
4596	Backdoor Cleaning without External Guidance in MLLM Fine-tuning Authors: Xuankun Rong; Wenke Huang; Jian Liang; Jinhe Bi; Xun Xiao; Yiming Li; Bo Du; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: MLLM Safety; Backdoor Defense; Unsupervised
4597	Best-of-N Jailbreaking Authors: John Hughes; Sara Price; Aengus Lynch; Rylan Schaeffer; Fazl Barez; Arushi Somani; Sanmi Koyejo; Henry Sleight; Erik Jones; Ethan Perez; Mrinank Sharma Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: robustness; adversarial robustness; jailbreaking; multi-modal jailbreaks; automatic red teaming; large language models; LLMs
4598	Beyond Prediction: Managing the Repercussions of Machine Learning Applications Authors: Aline Weber; Blossom Metevier; Yuriy Brun; Philip S. Thomas; Bruno Castro da Silva Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Classification algorithms; Repercussion-aware optimization; Data-driven guarantees
4599	Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing Authors: Jinhua Yin; Peiru Yang; Chen Yang; Huili Wang; Zhiyang Hu; Shangguang Wang; Yongfeng Huang; Tao Qi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Multi-modal Model; Membership Inference Attack
4600	BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing Authors: Jinsu Kim; Yunhun Nam; Minseon Kim; Sangpil Kim; Jongheon Jeong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: copyright protection; adversarial examples; text-to-image models; computer vision
4601	Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers Authors: Zhuomeng Zhang; Fangqi Li; Hanyi Wang; Shi-Lin Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Deep Neural Networks; Uniqueness; Fingerprints; Copyright Tracing
4602	BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection Authors: Yihan Wang; Yiwei Lu; Xiao-Shan Gao; Gautam Kamath; Yaoliang Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Data protection; availability attacks; diffusion bridge model; protection removal
4603	C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails Authors: Mintong Kang; Zhaorun Chen; Bo Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM safety; LLM guardrail
4604	CALM: Culturally Self-Aware Language Models Authors: Lingzhi Shen; Xiaohao Cai; YUNFEI LONG; Imran Razzak; Guanming Chen; Shoaib Jameel Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Cultural Awareness; Cultural Alignment; Cultural Reasoning; Large Language Models
4605	CHiQPM: Calibrated Hierarchical Interpretable Image Classification Authors: Thomas Norrenbrock; Timo Kaiser; Sovan Biswas; Neslihan Kose; Ramesh Manuvinakurike; Bodo Rosenhahn Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: XAI; Global Interpretability; Local Interpretability; Conformal Prediction; Image Classification
4606	Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework Authors: Laura Kopf; Nils Feldhus; Kirill Bykov; Philine Lou Bommer; Anna Hedström; Marina MC Höhne; Oliver Eberle Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretability; Explainable AI; Automated Interpretability; Feature Description; Mechanistic Interpretability; Concept-based explanations; Clustering
4607	Causally Reliable Concept Bottleneck Models Authors: Giovanni De Felice; Arianna Casanova; Francesco De Santis; Silvia Santini; Johannes Schneider; Pietro Barbiero; Alberto Termine Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable AI; Concept-based models; Causal reliability; Deep learning
4608	Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification Authors: Duo Zhou; Jorge Chavez; Hesun Chen; Grani A. Hanasusanto; Huan Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Neuron Network Verification; AI Safety; Robustness; Formal Methods
4609	CoP: Agentic Red-teaming for Large Language Models using Composition of Principles Authors: Chen Xiong; Pin-Yu Chen; Tsung-Yi Ho Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; Jailbreak Attack; LLM Agent
4610	CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring Authors: Benjamin Arnav; Pablo Bernabeu-Perez; Nathan Helm-Burger; Timothy Kostolansky; Hannes Whittingham; Mary Phuong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: ai safety; ai control; large language models; trusted monitoring; chain-of-thought; reasoning; natural language processing
4611	Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics Authors: Ahmad Reza Ehyaei; Ali Shirali; Samira Samadi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Counterfactual Explanation; Algorithmic Recourse; Population Dynamics; Unbalanced Optimal Transport
4612	Combining Cost Constrained Runtime Monitors for AI Safety Authors: Tim Tian Hua; James Baskerville; Henri Lemoine; Mia Hopman; Aryan Bhatt; Tyler Tracy Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI Safety; Agents; Constrained Maximization
4613	Concept Incongruence: An Exploration of Time and Death in Role Playing Authors: Xiaoyan Bai; Ike Peng; Aditya Singh; Chenhao Tan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: concept incongruence; temporal representations
4614	Concept-Guided Interpretability via Neural Chunking Authors: Shuchen Wu; Stephan Alaniz; Shyamgopal Karthik; Peter Dayan; Eric Schulz; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; LLM; cognitive science
4615	Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models Authors: William Overman; Mohsen Bayati Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; LLM; Alignment; Trustworthy AI; Model Routing; Conformal Prediction; Conformal Risk Control
4616	Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization Authors: Han Wang; Chao Ning Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Conformal prediction; Feedback; Trajectory optimization; Uncertainty quantification; Risk allocation
4617	Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations Authors: Shixin Li; Zewei Li; Xiaojing Ma; Xiaofan Bai; Pingyi Hu; Dongmei Zhang; Bin Benjamin Zhu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Black-box adversarial attack; Transferability
4618	Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Authors: Guangchen Lan; Huseyin A Inan; Sahar Abdelnabi; Janardhan Kulkarni; Lukas Wutschitz; Reza Shokri; Christopher Brinton; Robert Sim Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; LLM Reasoning; Contextual Integrity
4619	Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time Authors: Max Moebus; Björn Braun; Christian Holz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Irregular Time Series; Explainability; Interpretability; Explanations; Perturbations
4620	Continual Release Moment Estimation with Differential Privacy Authors: Nikita Kalinin; Jalaj Upadhyay; Christoph H. Lampert Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Continual Release; Moment Estimation
4621	Continuous Concepts Removal in Text-to-image Diffusion Models Authors: Tingxu Han; Weisong Sun; Yanrong Hu; Chunrong Fang; Yonglong zhang; Shiqing Ma; Tao Zheng; Zhenyu Chen; Zhenting Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: text-to-image diffusion model; continuous concept removal; responsible AI
4622	Controlling The Spread of Epidemics on Networks with Differential Privacy Authors: Dung Nguyen; Aravind Srinivasan; Renata Valieva; Anil Vullikanti; Jiayi Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential privacy; network science; computational epidemiology; public health
4623	CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Authors: Qinfeng Li; Tianyue Luo; Xuhong Zhang; Yangfan Xie; Zhiqiang Shen; Lijun Zhang; Yier Jin; Hao Peng; Xinkui Zhao; XianWei Zhu; Jianwei Yin Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Intellectual Property Protection; Large Language Model; Model Stealing; Proactive Defense; Trusted Execution Environment
4624	Correcting misinterpretations of additive models Authors: Benedict Clark; Rick Wilming; Hjalmar Schulz; Rustam Zhumagambetov; Danny Panknin; Stefan Haufe Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: explainability; correctness; benchmarking; additive models; fairness
4625	CryptoMoE: Privacy-Preserving and Scalable Mixture of Experts Inference via Balanced Expert Routing Authors: Yifan Zhou; Tianshi Xu; Jue Hong; Ye Wu; Meng Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Privacy-Preserving Deep Learning; Homomorphic Encryption; Multi-party Computation; Mixture of Experts; Large Language Model
4626	DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting Authors: Lingzhuang Meng; Mingwen Shao; Yuanjian Qiao; Xiang Lv Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Malicious editing defense; View-focal fusion; dual discrepancy optimization
4627	DKDR: Dynamic Knowledge Distillation for Reliability in Federated Learning Authors: Yueyang Yuan; Wenke Huang; Guancheng Wan; Kaiqi Guan; He Li; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Knowledge Distillation
4628	DPA: A one-stop metric to measure bias amplification in classification datasets Authors: Bhanu Tokas; Rahul Nair; Hannah Kerner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: algorithmic biases; fairness; accountability; AI ethics
4629	DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents Authors: Hao Li; Xiaogeng Liu; CHIU Hung Chun; Dianqi Li; Ning Zhang; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Prompt Injection Attack; Defense; LLM Agent
4630	Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions Authors: Zeyu Wang; Yidan Song; Shihao Qin; Yu Shanqing; Yujin Huang; Qi Xuan; Xin Zheng Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Recommender System; Model Security; Model Extraction Attack
4631	Deep Learning with Plausible Deniability Authors: Wenxuan Bao; Shan Jin; Hadi Abdullah; Anderson C. A. Nascimento; Vincent Bindschaedler; Yiwei Cai Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Privacy; Plausible Deniability; Privacy-Preserving Machine Learning
4632	Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts Authors: Andrea Pugnana; Riccardo Massidda; Francesco Giannini; Pietro Barbiero; Mateo Espinosa Zarlenga; Roberto Pellungrini; Gabriele Dominici; Fosca Giannotti; Davide Bacciu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Concept Bottleneck Models; Learning to Defer
4633	Dense SAE Latents Are Features, Not Bugs Authors: Xiaoqing Sun; Alessandro Stolfo; Joshua Engels; Ben Peng Wu; Senthooran Rajamanoharan; Mrinmaya Sachan; Max Tegmark Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: sae; sparse autoencoder; interpretability; mechanistic interpretability; language model
4634	DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches Authors: Yun Xing; Yue Cao; Nhat Chung; Jie Zhang; Ivor Tsang; Ming-Ming Cheng; Yang Liu; Lei Ma; Qing Guo Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Adversarial Attack; Depth Estimation; Stereo Matching
4635	Detecting High-Stakes Interactions with Activation Probes Authors: Alex McKenzie; Urja Pawar; Phil Blandfort; William Bankes; David Krueger; Ekdeep Singh Lubana; Dmitrii Krasheninnikov Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: linear probes; monitoring; mechanistic interpretability; large language models
4636	Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing Authors: Yisong Xiao; Aishan Liu; Siyuan Liang; Zonghao Ying; Xianglong Liu; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: toxicity mitigation; large language model
4637	DiCoFlex: Model-Agnostic Diverse Counterfactuals with Flexible Control Authors: Oleksii Furman; Ulvi Movsum-zada; Patryk Marszałek; Maciej Zieba; Marek Śmieja Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable AI; Counterfactual Explanations; Tabular Data; Normalizing Flows
4638	DictPFL: Efficient and Private Federated Learning on Encrypted Gradients Authors: Jiaqi Xue; Mayank Kumar; Yuzhang Shang; Shangqian Gao; Rui Ning; Mengxin Zheng; Xiaoqian Jiang; Qian Lou Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Homomorphic Encryption; Privacy
4639	DiffBreak: Is Diffusion-Based Purification Robust? Authors: Andre Kassis; Urs Hengartner; Yaoliang Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Adaptive Adversarial Attacks; Adversarial Purification; Diffusion Models
4640	Differential Privacy for Euclidean Jordan Algebra with Applications to Private Symmetric Cone Programming Authors: Zhao Song; Jianfei Xue; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; euclidean jordan algebra; symmetric cone programming
4641	Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates Authors: Andrew Lowy; Daogao Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; bilevel optimization; private optimization
4642	Differentially Private Gomory-Hu Trees Authors: Anders Aamand; Justin Y. Chen; Mina Dalirrooyfard; Slobodan Mitrović; Yuriy Nevmyvaka; Sandeep Silwal; Yinzhan Xu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; graph algorithms; cuts
4643	Differentially Private High-dimensional Variable Selection via Integer Programming Authors: Petros Prastakos; Kayhan Behdin; Rahul Mazumder Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Variable Selection; Best Subset Selection; Differential Privacy; Exponential Mechanism; Mixed Integer Programming; Sparse Linear Regression; Sparse Classificat…
4644	Differentially Private Quantiles with Smaller Error Authors: Jacob Imola; Fabrizio Boninsegna; Hannah Keller; Anders Aamand; Amrita Roy Chowdhury; Rasmus Pagh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; quantile estimation
4645	Differentially Private Relational Learning with Entity-level Privacy Guarantees Authors: Yinan Huang; Haoteng Yin; Eli Chien; Rongzhe Wei; Pan Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Relational Learning; Privacy Amplification
4646	Direct Alignment with Heterogeneous Preferences Authors: Ali Shirali; Arash Nasr-Esfahany; Abdullah Omar Alomar; Parsa Mirtaheri; Rediet Abebe; Ariel D. Procaccia Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Direct Alignment; Pluralistic Alignment; Heterogenous Preferences; Social Choice Theory
4647	Discretization-free Multicalibration through Loss Minimization over Tree Ensembles Authors: Hongyi Henry Jin; Zijun Ding; Dung Daniel Ngo; Steven Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Algorithmic Fairness; Multicalibration
4648	Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness Authors: Rongzhe Wei; Peizhi Niu; Hans Hao-Hsun Hsu; Ruihan Wu; Haoteng Yin; Mohsen Ghassemi; Yifan Li; Vamsi K. Potluru; Eli Chien; Kamalika Chaudhuri; Olgica Milenkovic; Pan Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Knowledge Unlearning; Knowledge Correlation; Large Language Models
4649	Does Representation Guarantee Welfare? Authors: Jakob de Raaij; Ariel D. Procaccia; Alexandros Psomas Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: sortition; citizens’ assemblies; governance
4650	DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Authors: Xuyang Zhong; Haochen Luo; Chen Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: machine unlearning
4651	E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis Authors: Zhisheng Zhang; Derui Wang; Yifan Mi; Zhiyong Wu; JieGao; Yuxin Cao; Kai Ye; Jason Xue; Jie Hao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Voice Protection; Adversarial Examples; Speech Synthesis; Data Poisoning
4652	EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification Authors: Lin Zhang; Wenshuo Dong; Zhuoran Zhang; Shu Yang; Lijie Hu; Ninghao Liu; Pan Zhou; Di Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; explainable AI; model interpretability
4653	EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation Authors: Dongyang Zeng; Yaping Liu; Wei Zhang; Shuo Zhang; Xinwang Liu; Binxing Fang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; Embedding-based Reranking; Document Adequacy Assessment
4654	EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions Authors: Xiaorui Wu; Fei Li; Xiaofeng Mao; Xin Zhang; Li Zheng; Yuxiang Peng; Chong Teng; Donghong Ji; Zhuang Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Prompt Optimization; LLM Over-Refusal; Data Synthesis
4655	Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery Authors: Shiji Zhou; Tianbai Yu; Zhi Zhang; Heng Chang; Xiao Zhou; Dong Wu; Han Zhao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Multi-objective optimization
4656	Emergent Risk Awareness in Rational Agents under Resource Constraints Authors: Daniel Jarne Ornia; Nicholas George Bishop; Joel Dyer; Wei-Chen Lee; Ani Calinescu; J. Doyne Farmer; Michael J. Wooldridge Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Decision Making; Alignment; Interpretability; Planning
4657	Epistemic Uncertainty for Generated Image Detection Authors: Jun Nie; Yonggang Zhang; Tongliang Liu; Yiu-ming Cheung; Bo Han; Xinmei Tian Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI-generated image detection; Uncertainty Estimation
4658	Erasing Conceptual Knowledge from Language Models Authors: Rohit Gandikota; Sheridan Feucht; Samuel Marks; David Bau Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Concept Unlearning; Erasing Bio Threat; Erasing Cyber Threat; safety
4659	Evaluating LLMs in Open-Source Games Authors: Swadesh Sistla; Max Kleiman-Weiner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM evaluation; program equilibrium; game theory; open source game; cooperative AI; multi-agent safety
4660	Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Authors: Hubert Baniecki; Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier; Przemyslaw Biecek Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: explainability; feature interactions; Shapley interactions; Banzhaf value; CLIP
4661	Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction Authors: Jin Hu; Jiakai Wang; linna Jing; Haolin Li; Haodong Liu; Haotong Qin; Aishan Liu; Ke Xu; Xianglong Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Adversarial Example; Generative Models
4662	Exploring the Translation Mechanism of Large Language Models Authors: Hongbin Zhang; Kehai Chen; Xuefeng Bai; Xiucheng Li; Yang Xiang; Min Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; Multilingual; Machine Translation; Interpretability and Analysis of Models for NLP; Multilingualism and Cross-Lingual NLP
4663	Exploring the limits of strong membership inference attacks on large language models Authors: Jamie Hayes; Ilia Shumailov; Christopher A. Choquette-Choo; Matthew Jagielski; Georgios Kaissis; Milad Nasr; Meenatchi Sundaram Muthu Selva Annamalai; Niloofar Mireshghallah; Igor… Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: membership inference; memorization
4664	FACE: Faithful Automatic Concept Extraction Authors: Dipkamal Bhusal; Michael Clifford; Sara Rampazzi; Nidhi Rastogi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: computer vision; faithful interpretability; concept based explanations; interpretability; explainable AI
4665	FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model Authors: Jinwei Hu; Zhenglin Huang; Xiangyu Yin; Wenjie Ruan; Guangliang Cheng; Yi Dong; Xiaowei Huang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM Unlearning; Contrastive Learning; Responsible AI
4666	FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts Authors: Dario Fenoglio; Mohan Li; Pietro Barbiero; Nicholas D. Lane; Marc Langheinrich; Martin Gjoreski Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: federated learning; clustered federated learning; privacy; distribution shifts; scalability; efficiency; unsupervised clustering; test-time adaptation
4667	Fair Continuous Resource Allocation with Equality of Impact Authors: Blossom Metevier; Dennis Wei; Karthikeyan Natesan Ramamurthy; Philip S. Thomas Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: resource allocation; fairness; machine learning; fair machine learning; equality of impact; group fairness; fair resource allocation; fairness regret; constant…
4668	Fair Deepfake Detectors Can Generalize Authors: Harry Cheng; Ming-Hui Liu; Yangyang Guo; Tianyi Wang; Liqiang Nie; Mohan Kankanhalli Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Deepfake Detection; Causal Inference; Generalization; Fairness; Back-door Adjustment
4669	Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference Authors: Yuhong Luo; Austin Hoag; Xintong Wang; Philip S. Thomas; Przemyslaw A. Grabowicz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fair Representation Learning; Statistical Guarantees; Controllable Guarantees
4670	FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models Authors: Zihao Fu; Ryan Brown; Shun Shao; Kai Rawal; Eoin D. Delaney; Chris Russell Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fairness; Generative Fairness; Image Generation; Stable Diffusion
4671	FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA Authors: Songqi Zhou; Zeyuan Liu; Benben Jiang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fair machine learning; Fairness; Bias mitigation
4672	Fairness under Competition Authors: Ronen Gradwohl; Eilam Shapira; Moshe Tennenholtz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: fairness; classification; strategic machine learning; competition
4673	Fairness-aware Bayes Optimal Functional Classification Authors: Xiaoyu Hu; Gengyu Xue; Zhenhua Lin; Yi Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Classification; excess risk; fairness; functional data
4674	Fairshare Data Pricing via Data Valuation for Large Language Models Authors: Luyang Zhang; Cathy Jiao; Beibei Li; Chenyan Xiong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: data pricing; data market; large language model; data valuation; data attribution
4675	Faithful Group Shapley Value Authors: Kiljae Lee; Ziqi Liu; Weijing Tang; Yuan Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Shapley value; data valuation; group evaluation
4676	Fast Computation and Optimization for Opinion-Based Quantities of Friedkin-Johnsen Model Authors: Haoxin Sun; Yubo Sun; Xiaotian Zhou; Zhongzhi Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: forest matrix; fast algorithm; FJ model; opinion dynamics，optimization problems
4677	FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning Authors: Li Zhang; Zhongxuan Han; XiaoHua Feng; Jiaming Zhang; Yuyuan Li; Chaochao Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Fairness; Multi-Class Classification
4678	FedRACE: A Hierarchical and Statistical Framework for Robust Federated Learning Authors: Gang Yan; Sikai Yang; Wan Du Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Robustness; Poisoning Attacks; Generalized Linear Model; Statistical Detection
4679	FedRW: Efficient Privacy-Preserving Data Reweighting for Enhancing Federated Learning of Language Models Authors: Pukang Ye; Junwei Luo; Jiachen Shen; Saipan Zhou; Shangmin Dou; Zhenfu Cao; Hanzhe Yao; Xiaolei Dong; Yunbo Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM Privacy; Data Deduplication; Federated Learning; Secure Multi-Party Computation
4680	Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods Authors: Dennis Wei; Inkit Padhi; Soumya Ghosh; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Maria Chang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: training data attribution; influence functions; further training
4681	Finding and Reactivating Post-Trained LLMs' Hidden Safety Mechanisms Authors: Mingjie Li; Wai Man Si; Michael Backes; Yang Zhang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM safety; Alignment
4682	FlexAC: Towards Flexible Control of Associative Reasoning in Multimodal Large Language Models Authors: Shengming Yuan; Xinyu Lyu; Shuailong Wang; Beitao Chen; Jingkuan Song; Lianli Gao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: hallucination; creativity; multimodal large language model
4683	From Black-box to Causal-box: Towards Building More Interpretable Models Authors: Inwoo Hwang; Yushu Pan; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Causal inference; Interpretability; XAI
4684	From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit Authors: Valérie Costa; Thomas Fel; Ekdeep Singh Lubana; Bahareh Tolooshams; Demba E. Ba Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretability; Explainability; Computer Vision; Representation Learning; Dictionary Learning; Sparse Autoencoders
4685	From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring Authors: Yang Li; Qiang Sheng; Yehan Yang; Xueyao Zhang; Juan Cao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: harmful content detection; streaming content moderation; LLM safety
4686	From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers Authors: Praneet Suresh; Jack Stanley; Sonia Joseph; Luca Scimeca; Danilo Bzdok Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Mechanistic interpretability; sparse autoencoders; transformer hallucinations; concept steering; vision transformers; large language models; noise‑trained repr…
4687	From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes Authors: Long Ma; Zhiyuan Yan; Jin Xu; Yize Chen; Qinglang Guo; Zhen Bi; Yong Liao; Hui Lin Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Universal / Generalizable Deepfake Detection
4688	Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs Authors: Xander Davies; Eric Winsor; Alexandra Souly; Tomek Korbak; Robert Kirk; Christian Schroeder de Witt; Yarin Gal Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM; AI security; harmful fine-tuning; AI safety; jailbreaking
4689	GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs Authors: Advik Raj Basani; Xiao Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM safety; jailbreak attacks; adversarial prompting; Latent Bayesian optimization; red-teaming
4690	GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling Authors: Jialong Zhou; Lichao Wang; Xiao Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM-based agent; defense; safety
4691	Generative Model Inversion Through the Lens of the Manifold Hypothesis Authors: Xiong Peng; Bo Han; Fengfei Yu; Tongliang Liu; Feng Liu; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Generative Model Inversion Attacks
4692	Generative RLHF-V: Learning Principles from Multi-modal Human Preference Authors: Jiayi Zhou; Jiaming Ji; Boyuan Chen; Jiapeng Sun; Wenqi Chen; Donghai Hong; Sirui Han; Yike Guo; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Alignment; Safety; RLHF; Preference Learning; Multi-modal LLMs
4693	GeoClip: Geometry-Aware Clipping for Differentially Private SGD Authors: Atefeh Gilani; Naima Tasnim; Lalitha Sankar; Oliver Kosut Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Gradient Clipping; Adaptive Clipping; DP-SGD; Private Machine Learning
4694	Geometric Imbalance in Semi-Supervised Node Classification Authors: Liang Yan; Shengzhong Zhang; Bisheng Li; Menglin Yang; Chen Yang; Min Zhou; Weiyang Ding; Yutong Xie; Zengfeng Huang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Geometric Imbalance; GNNs; Semi-Supervised Node Classification
4695	Geometric Logit Decoupling for Energy-Based Graph Out-of-distribution Detection Authors: Min Wang; Hao Yang; Qing Cheng; Jincai Huang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: out-of-distribution detection; confidence calibration
4696	GraSS: Scalable Data Attribution with Gradient Sparsification and Sparse Projection Authors: Pingbang Hu; Joseph Melkonian; Weijing Tang; Han Zhao; Jiaqi W. Ma Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: data attribution; influence function; gradient compression
4697	Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs Authors: Hao Fang; Changle Zhou; Jiawei Kong; Kuofeng Gao; Bin Chen; Tao Liang; Guojun Ma; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Hallucination Mitigation; Decoding Strategy
4698	Guiding LLM Decision-Making with Fairness Reward Models Authors: Zara Hall; Melanie Subbiah; Thomas P Zollo; Kathleen McKeown; Richard Zemel Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: fairness; bias mitigation; test-time compute; language models
4699	Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability Authors: Jiani Liu; Zhiyuan Wang; Zeliang Zhang; Chao Huang; Susan Liang; Yunlong Tang; Chenliang Xu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adversarial attack; model sparisty
4700	HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions Authors: Dor Tsur; Carol Xuan Long; Claudio Mayrink Verdun; Sajani Vithana; Hsiang Hsu; Chun-Fu Chen; Haim H. Permuter; Flavio Calmon Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large language models; watermarking; coding theory; heavy-tail distributions
4701	Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Authors: Nathanael Jo; Ashia C. Wilson; Kathleen Creel; Manish Raghavan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Algorithmic Pricing; Personalized Pricing; Collusion; Competition; Outcome Homogenization; Algorithmic Monoculture; Antitrust; Tacit Collusion
4702	Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection Authors: Cong Zeng; Shengkun Tang; Yuanzhou Chen; Zhiqiang Shen; Wenchao Yu; Xujiang Zhao; Haifeng Chen; Wei Cheng; zhiqiang xu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM Detection
4703	ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination Authors: Xiaoyi Pang; Xuanyi Hao; Song Guo; Qi Luo; Zhibo Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: backdoor detection; LLM
4704	IF-Guide: Influence Function-Guided Detoxification of LLMs Authors: Zachary Coalson; Juhan Bae; Nicholas Carlini; Sanghyun Hong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: influence functions; LLM toxicity
4705	ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation Authors: Ziyuan Luo; Yangyi Zhao; Ka Chun Cheung; Simon See; Renjie Wan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: RAG; watermarking; copyright protection
4706	Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning Authors: Marlon Tobaben; Hibiki Ito; Joonas Jälkö; Yuan He; Antti Honkela Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Membership Inference Attack; Transfer Learning; Few-shot Learning; Image Classification
4707	Improving Task-Specific Multimodal Sentiment Analysis with General MLLMs via Prompting Authors: Haoyu Zhang; Yinan Zhang; Chaolong Ying; Xiaoying Tang; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Multimodal Sentiment Analysis
4708	In-Context Learning Strategies Emerge Rationally Authors: Daniel Wurgaft; Ekdeep Singh Lubana; Core Francisco Park; Hidenori Tanaka; Gautam Reddy; Noah Goodman Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: In-Context Learning; Loss-Complexity tradeoff; Bayesian Modeling; Algorithmic Complexity
4709	Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty Authors: Valia Efthymiou; Chara Podimata; Diptangshu Sen; Juba Ziani Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: strategic classification; causality; uncertainty; desirable effort; classifier design
4710	Incentivizing Time-Aware Fairness in Data Sharing Authors: Jiangwei Chen; Kieu Thao Nguyen Pham; Rachael Hwee Ling Sim; Arun Verma; Zhaoxuan Wu; Chuan-Sheng Foo; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Cooperative Game Theory; Incentives; Data Sharing
4711	Individual Fairness In Strategic Classification Authors: Zhiqun Zuo; Mohammad Mahdi Khalili Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Individual Fairness; Strategic Classification; Group Fairness
4712	Individually Fair Diversity Maximization Authors: Ruien Li; Yanhao Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: fairness; diversity maximization
4713	Information Retrieval Induced Safety Degradation in AI Agents Authors: Cheng Yu; Benedikt Stroebl; Diyi Yang; Orestis Papakyriakopoulos Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Responsible AI; LLM Agents; Safety; Bias
4714	Intermediate Domain Alignment and Morphology Analogy for Patent-Product Image Retrieval Authors: Haifan Gong; Xuanye Zhang; Ruifei Zhang; Yun Su; Zhuo Li; Yuhao Du; Anningzhe Gao; Xiang Wan; Haofeng Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: open-set patent-product image retrieval; domain align; morphology analogy
4715	Interpretable and Parameter Efficient Graph Neural Additive Models with Random Fourier Features Authors: Thummaluru Siddartha Reddy; Vempalli Naga Sai Saketh; Mahesh Chandran Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretability; Graph Neural networks; Finite Impulse Response Filters; Random Fourier Features
4716	Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions Authors: Leilei Wen; Liwei Zheng; Hongda Li; Lijun Sun; Zhihua Wei; Wen Shen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable Artificial Intelligence; Large Language Models; Arithmetic Reasoning; Interactions; Interpretability; Deep Learning
4717	Interpreting vision transformers via residual replacement model Authors: Jinyeong Kim; Junhyeok Kim; Yumin Shim; Joohyeok Kim; Sunyoung Jung; Seong Jae Hwang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: vision transformer; mechanistic interpretability; sparse autoencoder; circuit discovery; replacement model; spurious correlation
4718	InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy Authors: Vishnu Vinod; Krishna Pillutla; Abhradeep Guha Thakurta Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Text Generation; Synthetic Data; Private Inference
4719	JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models Authors: Jiaxin Song; Yixu Wang; Jie Li; Xuan Tong; rui yu; Yan Teng; Xingjun Ma; Yingchun Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI safety; Adversarial attack and defense; Jailbreak; Multimodal learning
4720	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy Authors: Jie Ren; Zhenwei DAI; Xianfeng Tang; Yue Xing; Shenglai Zeng; Hui Liu; Jingying Zeng; Qiankun Peng; Samarth Varshney; Suhang Wang; Qi He; Charu C. Aggarwal; Hui Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Unlearning; Attack; Robustness
4721	Knowledge Distillation Detection for Open-weights Models Authors: Qin Shi; Amber Yijia Zheng; Qifan Song; Raymond A. Yeh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Distillation Detection
4722	LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs Authors: Ran Li; Hao Wang; Chengzhi Mao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Jailbreak; LLM
4723	LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory Authors: Jingru Jia; Zehua Yuan; Junhao Pan; Paul E McNamara; Deming Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; Reasoning; Fairness; Interpretability; Multi-agent
4724	LLM Unlearning via Neural Activation Redirection Authors: William F. Shen; Xinchi Qiu; Meghdad Kurmanji; Alex Iacob; Lorenzo Sani; Yihong Chen; Nicola Cancedda; Nicholas D. Lane Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM unlearning
4725	LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models Authors: Yihao LIU; Xinqi LYU; Dong Wang; Yanjie Li; Bin Xiao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Label-Only Membership Inference Attack; Large Vision-Language Models
4726	Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations Authors: Li Ji-An; Hua-Dong Xiong; Robert Wilson; Marcelo G Mattar; Marcus K. Benna Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: large language model; metacognition; safety; neurofeedback; in-context learning
4727	Layer-Wise Modality Decomposition for Interpretable Multimodal Sensor Fusion Authors: Park Jae Hyun; Konyul Park; Daehun Kim; Junseo Park; Jun Won Choi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretable AI; Deep Taylor Decomposition; BEV Perception
4728	LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching Authors: Zhuo Cao; Xuan Zhao; Lena Krieger; Hanno Scharr; Ira Assent Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: XAI; Counterfactual Explanation; AI4Science; Flow Matching
4729	Learning Gradient Boosted Decision Trees with Algorithmic Recourse Authors: Kentaro Kanamori; Ken Kobayashi; Takuya Takagi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: algorithmic recourse; gradient boosted decision trees; counterfactual explanation
4730	Learning to Steer: Input-dependent Steering for Multimodal LLMs Authors: Jayneel Parekh; Pegah KHAYATAN; Mustafa Shukor; Arnaud Dapogny; Alasdair Newson; Matthieu Cord Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: multimodal large language models; large multimodal models; steering; representation steering; safety alignment; hallucinations; vision-language models
4731	Lie Detector: Unified Backdoor Detection via Cross-Examination Framework Authors: Xuan Wang; Siyuan Liang; Dongping Liao; Han Fang; Aishan Liu; Xiaochun Cao; Yu-liang Lu; Ee-Chien Chang; Xitong Gao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Backdoor Detection; Backdoor Attack
4732	Lifelong Safety Alignment for Language Models Authors: Haoyu Wang; Yifei Zhao; Zeyu Qin; Chao Du; Min Lin; Xueqian Wang; Tianyu Pang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Safety Alignment; Language Models
4733	LoRO: Real-Time on-Device Secure Inference for LLMs via TEE-Based Low Rank Obfuscation Authors: Gaojian Xiong; Yu Sun; Jianhua Liu; Jian Cui; Jianwei Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: secure inference; large language models; trusted execution environments; intellectual property protection
4734	Locally Optimal Private Sampling: Beyond the Global Minimax Authors: Hrad Ghoukasian; Bonwoo Lee; Shahab Asoodeh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: private sampling; local minimax; local differential privacy; functional LDP
4735	Look-Ahead Reasoning on Learning Platforms Authors: Haiqing Zhu; Tijana Zrnic; Celestine Mendler-Dünner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: performative prediction; strategic classification; collective action; performative shift; performativity
4736	MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Authors: Ke Wang; Yiming QIN; Nikolaos Dimitriadis; Alessandro Favero; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Lifelong model editing; Catastrophic forgetting; Large language model; LLM
4737	MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework Authors: Qirui Mi; Mengyue Yang; Xiangning Yu; Zhiyu Zhao; Cheng Deng; Bo An; Haifeng Zhang; Xu Chen; Jun Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: social simulation; large langauge model; population; decision making; mean-field
4738	MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs Authors: Tobias Lorenz; Marta Kwiatkowska; Mario Fritz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Mixed Integer Bilinear Programming; Certified Robustness; Provable Defenses; Data Poisoning; Robust Training; Adversarial Machine Learning; Optimization-based…
4739	MIX: A Multi-view Time-Frequency Interactive Explanation Framework for Time Series Classification Authors: Viet-Hung Tran; Ngoc Phu Doan; Zichi Zhang; Tuan Dung Pham; Phi Hung Nguyen; Xuan Hoang NGUYEN; Hans Vandierendonck; Ira Assent; Son T. Mai Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; time series; deep learning
4740	MLEP: Multi-granularity Local Entropy Patterns for Generalized AI-generated Image Detection Authors: Lin Yuan; Xiaowan Li; Yan Zhang; Jiawei Zhang; Hongbo Li; Xinbo Gao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI-generated image detection; entropy; multi-granularity; deepfake detection
4741	MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning Authors: Guancheng Wan; Fengyuan Ran; Ruikang Zhang; Wenke Huang; Xuankun Rong; Guibin Zhang; Yuxin Wu; Bo Du; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning; Continual Learning
4742	MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference Authors: Wenxuan Zeng; Ye Dong; Jinjin Zhou; Jin Tan; Lei Wang; Tao Wei; Runsheng Wang; Meng Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; KV Cache Compression; Sparse Attention; Private Inference; Multi-party Computation
4743	Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework Authors: Shixuan Wang; Jingwen Ye; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; 3D Tasks; Perspective Acceleration; Multi-View Efficiency
4744	Machine Unlearning via Task Simplex Arithmetic Authors: Junhao Dong; Hao Zhu; Yifei Zhang; Xinghua Qu; Yew-Soon Ong; Piotr Koniusz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Simplex; VLM
4745	Manipulating Feature Visualizations with Gradient Slingshots Authors: Dilyara Bareeva; Marina MC Höhne; Alexander Warnecke; Lukas Pirch; Klaus Robert Muller; Konrad Rieck; Sebastian Lapuschkin; Kirill Bykov Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable AI; Mechanistic Interpretability; Machine Learning; Computer Vision
4746	Many LLMs Are More Utilitarian Than One Authors: Anita Keshmirian; Razan Baltaji; Babak Hemmatian; Hadi Asghari; Lav R. Varshney Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: multi-agent systems; group moral reasoning; collective moral judgement; ethical alignment; AI ethics; emergent behavior; large language models
4747	Mask Image Watermarking Authors: Runyi Hu; Jie Zhang; Shiqian Zhao; Nils Lukas; Jiwei Li; Qing Guo; Han Qiu; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: image watermarking
4748	Mechanism Design for LLM Fine-tuning with Multiple Reward Models Authors: Haoran Sun; Yurong Chen; Siwei Wang; Xu Chu; Wei Chen; Xiaotie Deng Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Mechanism Design; RLHF; LLMs; Incentive Compatibility
4749	Memory Injection Attacks on LLM Agents via Query-Only Interaction Authors: Shen Dong; Shaochen Xu; Pengfei He; Yige Li; Jiliang Tang; Tianming Liu; Hui Liu; Zhen Xiang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM agent; LLM; Memory Injection; Trustworthy
4750	Metritocracy: Representative Metrics for Lite Benchmarks Authors: Ariel D. Procaccia; Benjamin Schiffer; Serena Lutong Wang; Shirley Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Evaluation; benchmarks; social choice
4751	Minimizing False-Positive Attributions in Explanations of Non-Linear Models Authors: Anders Gjølbye; Stefan Haufe; Lars Kai Hansen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainable AI; Interpretability; Suppressor Variables; Non-Linear Problems; Machine Learning; EEG
4752	Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models Authors: Jaesin Ahn; Heechul Jung Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Safety; NSFW; Generative Model; Machine Unlearning; Concept Erasure; Text-to-Image Generation
4753	MixAT: Combining Continuous and Discrete Adversarial Training for LLMs Authors: Csaba Dékány; Stefan Balauca; Dimitar Iliev Dimitrov; Robin Staab; Martin Vechev Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM; Large Language Models; Adversarial Robustness; Jailbreak Attacks; Adversarial Training; Adversarial Examples
4754	Modeling the Economic Impacts of AI Openness Regulation Authors: Tori Qiu; Benjamin Laufer; Jon Kleinberg; Hoda Heidari Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: game theory; AI regulation; openness
4755	Monoculture or Multiplicity: Which Is It? Authors: Mila Gorecki; Moritz Hardt Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: monoculture; multiplicity; large language models
4756	Multi-Class Support Vector Machine with Differential Privacy Authors: Jinseong Park; Yujin Choi; Jaewook Lee Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; support vector machine; multi-class classification; all-in-one SVM
4757	Multi-order Orchestrated Curriculum Distillation for Model-Heterogeneous Federated Graph Learning Authors: Guancheng Wan; Xu Cheng; Run Liu; Wenke Huang; Zitong Shi; Pinyi Jin; Guibin Zhang; Bo Du; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning; Knowledge Distillation
4758	Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go Authors: Sascha Xu; Nils Philipp Walter; Jilles Vreeken Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; rule lists; differentiable relaxation
4759	Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models Authors: Cameron Tice; Philipp Alexander Kreer; Nathan Helm-Burger; Prithviraj Singh Shahani; Fedor Ryzhenkov; Fabien Roger; Clement Neo; Jacob Haimes; Felix Hofstätter; Teun van der Weij Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Sandbagging; Noise Injection; Deception Detection
4760	OASIS: One-Shot Federated Graph Learning via Wasserstein Assisted Knowledge Integration Authors: Guancheng Wan; Jiaru Qian; Wenke Huang; Qilin Xu; Xianda Guo; Boheng Li; Guibin Zhang; Bo Du; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning
4761	ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation Authors: Haoqi Wu; Wei Dai; Ming Xu; Wang Li; Qiang Yan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Text-to-image; diffusion model; prompt privacy
4762	Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure Authors: Ramin Akbari; Milad Afshari; Vishnu Boddeti Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Concept Erasure; kernel methods; adversarial training; model bias/unfairness mitigation; representation learning
4763	On Fairness of Unified Multimodal Large Language Model for Image Generation Authors: Ming Liu; Hao Chen; Jindong Wang; Liwen Wang; Bhiksha Raj; Wensheng Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fairness; Unified Multimodal Large Language Model; Bias
4764	On Group Sufficiency Under Label Bias Authors: Haoran Zhang; Olawale Elijah Salaudeen; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: algorithmic fairness; label noise; label bias; group sufficiency
4765	On Logic-based Self-Explainable Graph Neural Networks Authors: Alessio Ragno; Marc Plantevit; Céline Robardet Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: graph neural networks; explainable ai; self-explainable gnns; interpretability
4766	On Optimal Steering to Achieve Exact Fairness Authors: mohit sharma; Amit Deshpande; Chiranjib Bhattacharyya; Rajiv Ratn Shah Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: steering; fairness; representation; bayes optimal classifiers; data bias; ideal distributions
4767	On the Coexistence and Ensembling of Watermarks Authors: Aleksandar Petrov; Shruti Agarwal; Philip Torr; Adel Bibi; John Collomosse Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Watermarking; Ensembling; Machine Learning
4768	On the Sample Complexity of Differentially Private Policy Optimization Authors: Yi He; Xingyu Zhou Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Policy optimization; differential privacy; policy gradient; natural policy gradient; sample complexity
4769	One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head Authors: Junhao Xia; Haotian Zhu; Shuchao Pang; Zhigang Lu; Bing Li; Yongbin Zhou; Jason Xue Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Vision-Language Models; Security; Adversarial and Jailbreak attacks
4770	One Token Embedding Is Enough to Deadlock Your Large Reasoning Model Authors: Mohan Zhang; Yihua Zhang; Jinghan Jia; Zhangyang Wang; Sijia Liu; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Deadlock Attack; Large Language Model
4771	One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models Authors: Viacheslav Surkov; Chris Wendler; Antonio Mari; Mikhail Terekhov; Justin Deschenaux; Robert West; Caglar Gulcehre; David Bau Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: sparse autoencoders; SAE; unet; diffusion; mechanistic interpretability; text to image interpretability; activation engineering
4772	OrdShap: Feature Position Importance for Sequential Black-Box Models Authors: Davin Hill; Brian L. Hill; Aria Masoomi; Vijay S Nori; Robert E. Tillman; Jennifer Dy Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretability; Explainability; XAI; Shapley
4773	Out-of-Distribution Detection with Relative Angles Authors: Berker Demirel; Marco Fumero; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: out-of-distribution; out-of-distribution detection; decision boundaries
4774	Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning Authors: Julian Minder; Clément Dumas; Caden Juang; Bilal Chughtai; Neel Nanda Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; mechanistic interpretability; model diffing; chat-tuning; crosscoder; sparse autoencoder; ai safety; sae
4775	Pairwise Calibrated Rewards for Pluralistic Alignment Authors: Daniel Halpern; Evi Micha; Ariel D. Procaccia; Itai Shapira Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Pluralistic alignment; Reinforcement learning from human feedback
4776	Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation Authors: Yibo Wang; Tiansheng Huang; Li Shen; Huanjin Yao; Haotian Luo; Rui Liu; Naiqiang Tan; Jiaxing Huang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Harmful fine-tuning; LLM; Safety alignment
4777	Path-specific effects for pulse-oximetry guided decisions in critical care Authors: Kevin Zhang; Yonghan Jung; Divyat Mahajan; Karthikeyan Shanmugam; Shalmali Joshi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Causal inference; Computational healthcare; Algorithmic fairness
4778	Performative Validity of Recourse Explanations Authors: Gunnar König; Hidde Fokkema; Timo Freiesleben; Celestine Mendler-Dünner; Ulrike von Luxburg Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: recourse; explainable machine learning; XAI; performativity; causality; distribution shift; robustness
4779	Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach Authors: Yuchen Wu; Edward Sun; Kaijie Zhu; Jianxun Lian; Jose Hernandez-Orallo; Aylin Caliskan; Jindong Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM Safety; Evaluation; Personalized Safety; Structured User Context; Monte Carlo Tree Search (MCTS)
4780	Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models Authors: Tae-Young Lee; Juwon Seo; Jong Hwan Ko; Gyeong-Moon Park Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: text-to-image diffusion models; personalization; privacy
4781	Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services Authors: Gefei Tan; Ali Shahin Shamsabadi; Ellen Kolesnikova; Hamed Haddadi; Xiao Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Model Editing; PPML; Secure Computation; Diffusion Models; Cryptography
4782	Pinpointing Attention-Causal Communication in Language Models Authors: Gabriel Franco; Mark Crovella Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; interpretability; causal analysis; circuit tracing
4783	Practical Bayes-Optimal Membership Inference Attacks Authors: Marcus Lassila; Johan Östman; Khac-Hoang Ngo; Alexandre Graell i Amat Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Membership Inference Attacks; Privacy; Security; Graph Neural Networks; Machine Learning
4784	Predicting the Performance of Black-box Language Models with Follow-up Queries Authors: Dylan Sam; Marc Anton Finzi; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: monitoring; language models; black-box language models
4785	Privacy Reasoning in Ambiguous Contexts Authors: Ren Yi; Octavian Suciu; Adrian Gascon; Sarah Meiklejohn; Eugene Bagdasarian; Marco Gruteser Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Personal Agents; Privacy Reasoning; Context Disambiguation; Benchmarks
4786	Private Continual Counting of Unbounded Streams Authors: Ben Jacobsen; Kassem Fawaz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: privacy; differential privacy; continual counting; matrix mechanism; online learning
4787	Private Geometric Median in Nearly-Linear Time Authors: Syamantak Kumar; Daogao Liu; Kevin Tian; Chutong Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Geometric Median; Stochastic Convex Optimization
4788	Private Zeroth-Order Optimization with Public Data Authors: Xuchen Gong; Tian Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Zeroth-Order Optimization; Differential Privacy
4789	Probabilistic Stability Guarantees for Feature Attributions Authors: Helen Jin; Anton Xue; Weiqiu You; Surbhi Goel; Eric Wong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainability; Interpretability; Feature Attributions; Safety; Robustness
4790	Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Authors: Sai Sumedh R. Hindupur; Ekdeep Singh Lubana; Thomas Fel; Demba E. Ba Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: sparse autoencoders; dictionary learning; interpretability
4791	ProtoPairNet: Interpretable Regression through Prototypical Pair Reasoning Authors: Rose Gurung; Ronilo Ragodos; Chiyu Ma; Tong Wang; Chaofan Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: deep learning; interpretability; prototype-based neural network; case-based reasoning
4792	Quantifying Cross-Modality Memorization in Vision-Language Models Authors: Yuxin Wen; Yangsibo Huang; Tom Goldstein; Ravi Kumar; Badih Ghazi; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Memorization; VLM Memorization
4793	Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph Authors: Gautam Kamath; Alireza F. Pour; Matthew Regehr; David Woodruff Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; hypothesis selection
4794	RUAGO: Effective and Practical Retain-Free Unlearning via Adversarial Attack and OOD Generator Authors: SangYong Lee; Sangjun Chung; Simon S. Woo Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Right to be forgetten; User Privacy; Data Forgetting; Training Dataset Privacy
4795	Reasoning Models Sometimes Output Illegible Chains of Thought Authors: Arun Jose Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: 官方列表未公开
4796	Rectifying Shortcut Behaviors in Preference-based Reward Learning Authors: Wenqian Ye; Guangtao Zheng; Aidong Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Reinforcement Learning with Human Feedback; Shortcut Learning; Reward Hacking
4797	Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling Authors: Yichuan Cao; Yibo Miao; Xiao-Shan Gao; Yinpeng Dong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Text-to-Image Systems; Rule-based Preference Modeling; Red-Teaming
4798	Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation Authors: Zuhair Hasan Shaik; Abdullah Mazhar; Aseem Srivastava; Md Shad Akhtar Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI Safety; Responsible AI; Toxicity; Controlled generation; Steering AI; Interpretability
4799	Regional Explanations: Bridging Local and Global Variable Importance Authors: Salim I. Amoukou; Nicolas J-B. Brunel Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: variable importance; shapley values; lime; feature importance; explainability; interpretability; leave-one-out importance
4800	Regression Trees Know Calculus Authors: Nathan Wycoff Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: regression tree; gradient learning; interpretability; variable importance
4801	Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values Authors: R. Teal Witter; Yurong Liu; Christopher Musco Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Shapley values; Regression-adjustment; Kernel SHAP; Maximum sample reuse; Permutation SHAP
4802	Removing Concepts from Text-to-Image Models with Only Negative Samples Authors: Hanwen Liu; Yadong MU Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: diffusion model; machine unlearning; contrastive learning
4803	Representational Difference Explanations Authors: Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; explainability; XAI; graph; comparison; similarity; differences; representational similarity
4804	Residual Stream Analysis of Overfitting And Structural Disruptions Authors: Quan Liu; Han Zhou; Wenquan Wu; Hua Wu; Sen Su Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: large language model; safety; residual stream; false refusal
4805	RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation Authors: Silpa Vadakkeeveetil Sreelatha; Sauradip Nag; Muhammad Awais; Serge Belongie; Anjan Dutta Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Responsible T2I generation; Fairness; Safe generation; Debiasing; Diffusion models; Stable Diffusion
4806	Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates Authors: Hang Chen; Jiaying Zhu; Xinyu Yang; Wenya Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; language models; circuit discovery; logical gates
4807	Rethinking Fair Federated Learning from Parameter and Client View Authors: Kaiqi Guan; Wenke Huang; Xianda Guo; Yueyang Yuan; Bin Yang; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Federated learning; Fairness
4808	Rethinking the Role of Verbatim Memorization in LLM Privacy Authors: Tom Sander; Bargav Jayaraman; Mark Ibrahim; Kamalika Chaudhuri; Chuan Guo Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM; memorization; privacy
4809	Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability Authors: Yarden Bakish; Itamar Zimerman; Hila Chefer; Lior Wolf Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Explainability; Interpretability; Transformers; LRP
4810	Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Authors: Siqiao Mu; Diego Klabjan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: machine unlearning; privacy; nonconvex; nonconvex optimization; differential privacy; first-order methods; gradient descent; deep neural networks
4811	RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents Authors: Yang JingYi; Shuai Shao; Dongrui Liu; Jing Shao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Agent Safety; Safety Evaluation Benchmark
4812	Robust Distortion-Free Watermark for Autoregressive Audio Generation Models Authors: Yihan Wu; Georgios Milis; Ruibo Chen; Heng Huang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Audio watermarking
4813	Robust Explanations of Graph Neural Networks via Graph Curvatures Authors: Yazheng Liu; Xi Zhang; Sihong Xie; Hui Xiong Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: robust; explanation; graph curvature; GNN
4814	SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment Authors: Wonje Jeung; Sangyeon Yoon; Minsuk Kahng; Albert No Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Reasoning Models (LRMs); Chain-of-Thought Reasoning; Safety Alignment; Zero-shot Alignment
4815	SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification Authors: ZhengLin Lai; Mengyao Liao; Bingzhe Wu; Dong Xu; Zebin Zhao; Zhihang Yuan; Chao Fan; Jianqiang Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Trustworthy AI
4816	SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations Authors: Buyun Liang; Liangzu Peng; Jinqi Luo; Darshan Thaker; Kwan Ho Ryan Chan; Rene Vidal Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Adversarial Attack; Red Teaming; LLM Hallucination; Robustness Evaluation; Trustworthy AI
4817	SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism Authors: Reda Marzouk; Shahaf Bassan; Guy Katz Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Tensor networks; Tensor trains; explainability; explainable AI; XAI; SHAP; Shapley values; interpretability; game theory
4818	SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries Authors: Darin Tsui; Aryan Musharaf; Yigit Efe Erginbas; Justin Singh Kang; Amirali Aghazadeh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fourier transform; Möbius transform; Shapley values; Shapley interactions; Biological sequences; Genomics; Proteins
4819	SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation Authors: He Yang; Dongyi Lv; Song Ma; Wei Xi; Jizhong Zhao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Dataset Distillation; Backdoor Attacks
4820	STEAD: Robust Provably Secure Linguistic Steganography with Diffusion Language Model Authors: Yuang Qi; Na Zhao; Qiyi Yao; Benlong Wu; Weiming Zhang; Nenghai Yu; Kejiang Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: provably secure; steganography; robust; diffusion model
4821	Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback Authors: Jiaming Ji; Xinyu Chen; Rui Pan; Han Zhu; Jiahao Li; Donghai Hong; Boyuan Chen; Jiayi Zhou; Kaile Wang; Juntao Dai; Chi-Min Chan; Sirui Han; Yike Guo; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI Safety; AI Alignment
4822	Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking Authors: Zihan Su; Xuerui Qiu; Hongbin Xu; Tangyu Jiang; Jun-hao Zhuang; Chun Yuan; Ming Li; Shengfeng He; Fei Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI Safety; Copyright-Preservation
4823	Safety Depth in Large Language Models: A Markov Chain Perspective Authors: Ching-Chia Kao; Chia-Mu Yu; Chun-Shien Lu; Chu-Song Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Safety Alignment; Large Language Models; Markov Chain; Group Theory; Ensemble
4824	Safety Pretraining: Toward the Next Generation of Safe AI Authors: Pratyush Maini; Sachin Goyal; Dylan Sam; Alexander Robey; Yash Savani; Yiding Jiang; Andy Zou; Matt Fredrikson; Zachary Chase Lipton; J Zico Kolter Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Safe LLMs; Pretraining; Data Centric ML
4825	Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions Authors: Hidde Fokkema; Tim van Erven; Sara Magliacane Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Interpretability; Concepts; Causal Representation Learning
4826	Scalable Neural Network Geometric Robustness Validation via Hölder Optimisation Authors: Yanghao Zhang; Panagiotis Kouvaros; Alessio Lomuscio Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Robustness Validation; Hölder Optimisation; Geometric robustness; Hilbert curve dimensionality-reduction
4827	Scalable Valuation of Human Feedback through Provably Robust Model Alignment Authors: Masahiro Fujisawa; Masaki Adachi; Michael A Osborne Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Direct Preference Optimization; Robustness; Label Flip; Valuation of Human Feedback
4828	Second-Order Convergence in Private Stochastic Non-Convex Optimization Authors: Youming Tao; Zuyuan Zhang; Dongxiao Yu; Xiuzhen Cheng; Falko Dressler; Di Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; non-convex optimization; saddle points
4829	Secure and Confidential Certificates of Online Fairness Authors: Olive Franzese; Ali Shahin Shamsabadi; Carter Luck; Hamed Haddadi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: auditing; fairness; zero-knowledge proofs; privacy-preserving ML
4830	Semantic Representation Attack against Aligned Large Language Models Authors: Jiawei Lian; Jianhong Pan; Lefan Wang; Yi Wang; Shaohui Mei; Lap-Pui Chau Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Semantic Representation; Attack; Aligned Large Language Models
4831	Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models Authors: Lexiang Xiong; Liu Chengyu; Jingwen Ye; YAN LIU; Yuecong Xu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Concept Erasure; Text-to-Image Diffusion Model; Safe generation; Text-to-image generation
4832	Sequentially Auditing Differential Privacy Authors: Tomás González; Mateo Dulce Rubio; Aaditya Ramdas; Mónica Ribero Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential privacy; testing by betting
4833	Short-length Adversarial Training Helps LLMs Defend Long-length Jailbreak Attacks: Theoretical and Empirical Evidence Authors: Shaopeng Fu; Liang Ding; Jingfeng Zhang; Di Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: In-context Learning; Adversarial Training; Jailbreak Attacks; Large Language Models; Learning Theory
4834	Simple and Effective Specialized Representations for Fair Classifiers Authors: Alberto Sinigaglia; Davide Sartor; Marina Ceccon; Gian Antonio Susto Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fairness; Invariant Representations; Characteristic Function; Neural Networks
4835	Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Authors: Chongyu Fan; Jiancheng Liu; Licong Lin; Jinghan Jia; Ruiqi Zhang; Song Mei; Sijia Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; Machine Unlearning; Preference Optimization
4836	Size-adaptive Hypothesis Testing for Fairness Authors: Antonio Ferrara; Francesco Cozzi; Alan Perotti; André Panisson; Francesco Bonchi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Fairness; Fairness Metrics; Hypothesis Testing; Bayesian Statistics
4837	Smoothed Differentiation Efficiently Mitigates Shattered Gradients in Explanations Authors: Adrian Hill; Neal McKee; Johannes Maeß; Stefan Bluecher; Klaus Robert Muller Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: explainable ai; interpretability; feature attribution; saliency; automatic differentiation
4838	SpEx: A Spectral Approach to Explainable Clustering Authors: Tal Argov; Tal Wagner Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: explainable clustering; spectral clustering; interpretable clustering; cheeger
4839	Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models Authors: Mateusz Pach; Shyamgopal Karthik; Quentin Bouniot; Serge Belongie; Zeynep Akata Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: sparse autoencoders; interpretability; steering; vision and language models
4840	Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection Authors: Reihaneh Zohrabi; Hosein Hasani; Mahdieh Soleymani Baghshah; Anna Rohrbach; Marcus Rohrbach; Mohammad Hossein Rohban Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Out-of-Distribution Detection; Spurious Correlations; Prototype Refinement; Robustness; Post-hoc Methods; Trustworthy AI
4841	StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models Authors: Haoxin Yang; Bangzhen Liu; Xuemiao Xu; Cheng Xu; Yuyang Yu; Zikai Huang; Yi Wang; Shengfeng He Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Copyright protection; tampering localization; mixture-of-experts guided forensics; latent diffusion models.
4842	SteerConf: Steering LLMs for Confidence Elicitation Authors: Ziang Zhou; Tianyuan Jin; Jieming Shi; Li Qing Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: calibration; uncertainty; prompting; black-box; LLM
4843	StegoZip: Enhancing Linguistic Steganography Payload in Practice with Large Language Models Authors: Jun Jiang; Zijin Yang; Weiming Zhang; Nenghai Yu; Kejiang Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: linguistic steganography; payloads; generative steganography
4844	Strategic Classification with Non-Linear Classifiers Authors: Benyamin Trachtenberg; Nir Rosenfeld Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: strategic classification
4845	StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations Authors: Yanjie Li; Wenxuan Zhang; Xinqi LYU; Yihao LIU; Bin Xiao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adversarial attack; style mimicry attack; Dreambooth; diffusion model
4846	Subgraph Federated Learning via Spectral Methods Authors: Javad Aliakbari; Johan Östman; Ashkan Panahi; Alexandre Graell i Amat Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Subgraph Federated Learning; Graph neural networks; Federated Learning; Interconnected Graphs; Laplacian Smoothing
4847	Sum Estimation under Personalized Local Differential Privacy Authors: Dajun Sun; Wei Dong; Yuan Qiu; Ke Yi; Graham Cormode Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Differential Privacy; Sum Estimation
4848	Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Authors: Haoxiang Wang; Zinan Lin; Da Yu; Huishuai Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; private evolution; private text bridges
4849	TAI3: Testing Agent Integrity in Interpreting User Intent Authors: Shiwei Feng; Xiangzhe Xu; Xuan Chen; Kaiyuan Zhang; Syed Yusuf Ahmed; Zian Su; Mingwei Zheng; Xiangyu Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLM Agent; Agent Testing; Stress Testing; Software Engineering; API-Calling; Agent Safety
4850	TRAP: Targeted Redirecting of Agentic Preferences Authors: Hangoo Kang; Jehyeok Yeon; Gagandeep Singh Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Agentic AI; Trustworthy Machine Learning; Multimodal; Autonomous Decision Making; Large Language Model (LLM); Vision Language Model (VLM))
4851	Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining Authors: Weiyi Wang; Junwei Deng; Yuzheng Hu; Shiyuan Zhang; Xirui Jiang; Runting Zhang; Han Zhao; Jiaqi W. Ma Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Data Attribution; Influence Function; Hyperparameter Tuning
4852	Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack Authors: Yukun Chen; Boheng Li; Yu Yuan; Leyi Qi; Yiming Li; Tianwei Zhang; Zhan Qin; Kui Ren Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Backdoor Attack; Knowledge Distillation; Backdoor Learning; AI Security; Trustworthy ML
4853	Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving Authors: Xuan Chen; Shiwei Feng; Zikang Xiong; Shengwei An; Yunshu Mao; Lu Yan; Guanhong Tao; Wenbo Guo; Xiangyu Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: backdoor attack; autonomous driving security; offline RL
4854	The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation Authors: Patrick Kahardipraja; Reduan Achtibat; Thomas Wiegand; Wojciech Samek; Sebastian Lapuschkin Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: feature attribution; in-context learning; function vectors; retrieval-augmented language models; transformers; explainable AI; mechanistic Interpretability
4855	The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective Authors: Thai-Hoang Pham; Jiayuan Chen; Seungyeon Lee; Yuanlong Wang; Sayoko E. Moroi; Xueru Zhang; Ping Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: fairness; time-to-event; survival analysis; bias; distribution shift; causal
4856	The Cost of Compression: Tight Quadratic Black-Box Attacks on Sketches for $\ell_2$ Norm Estimation Authors: Sara Ahmadian; Edith Cohen; Uri Stemmer Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: $\ell_2$ sketches; dimensionality reduction; robustness
4857	The Fluorescent Veil: A Stealthy and Effective Physical Adversarial Patch Against Traffic Sign Recognition Authors: Shuai Yuan; Xingshuo Han; Hongwei Li; Guowen Xu; Wenbo Jiang; Tao Ni; Qingchuan Zhao; Yuguang Fang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Physical adversarial patch; Traffic sign recognition; Fluorescent ink.
4858	The Future Unmarked: Watermark Removal in AI-Generated Images via Next-Frame Prediction Authors: Huming Qiu; Zhaoxiang Wang; Mi Zhang; Xiaohan Zhang; Xiaoyu You; Min Yang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Deep Learning; Image Watermarking; Watermark Removal Attack
4859	The Price of Opportunity Fairness in Matroid Allocation Problems Authors: Rémi Castera; Felipe Garrido; Patrick Loiseau; Simon Mauras; Mathieu Molina; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Bipartite Matching; Opportunity Fairness; Matroids; Price of Fairness
4860	The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples Authors: Hsiang Hsu; Pradeep Niroula; Zichang He; Ivan Brugere; Freddy Lecue; Chun-Fu Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; robustness; adversarial; perturbation; disagreement; residual knowledge.
4861	The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense Authors: Yangyang Guo; Fangkai Jiao; Liqiang Nie; Mohan Kankanhalli Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Vision Large Language Model; Safety Alignment; Jailbreak Attack; Jailbreak Defense
4862	Time-uniform and Asymptotic Confidence Sequence of Quantile under Local Differential Privacy Authors: Leheng Cai; Qirui Hu; Juntao Sun; Shuyuan Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Confidence sequence; local differential privacy; quantile; stochastic gradient decent
4863	Too Late to Recall: Explaining the Two-Hop Problem in Multimodal Knowledge Retrieval Authors: Constantin Venhoff; Ashkan Khakzar; Sonia Joseph; Philip Torr; Neel Nanda Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Vision Language Models; Multimodal Alignment
4864	Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts Authors: Li Bai; Qingqing Ye; Xinwei Zhang; Sen Zhang; Zi Liang; Jianliang Xu; Haibo Hu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: shadow model technique; data privacy; membership inference attacks
4865	Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement Authors: Yinlin Zhu; Xunkai Li; Jishuo Jia; Miao Hu; Di Wu; Meikang Qiu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Graph Machine Learning; Federated Graph Learning; Graph Foundation Model
4866	Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders Authors: James Oldfield; Shawn Im; Sharon Li; Mihalis Nicolaou; Ioannis Patras; Grigorios Chrysos Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; mixture of experts
4867	Towards Irreversible Attack: Fooling Scene Text Recognition via Multi-Population Coevolution Search Authors: Jingyu Li; Pengwen Dai; Mingqing Zhu; Chengwei Wang; Haolong Liu; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adversarial attack; scene text recognition; evolution algorithm; computer vision
4868	Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning Authors: Boheng Li; Renjie Gu; Junjie Wang; Leyi Qi; Yiming Li; Run Wang; Zhan Qin; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Diffusion Models; AI Safety; Model Personalization
4869	Towards Understanding Safety Alignment: A Mechanistic Perspective from Safety Neurons Authors: Jianhui Chen; Xiaozhi Wang; Zijun Yao; Yushi Bai; Lei Hou; Juanzi Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Models; Mechanistic Interpretability; Safety Alignment; Neuron Analysis; Alignment Tax
4870	ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training Authors: Xin Yao; Haiyang Zhao; Yimin Chen; Jiawei Guo; Kecheng Huang; Ming Zhao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: CLIP; text-based attack; data poisoning; backdoor attack; adversarial training
4871	Train to Defend: First Defense Against Cryptanalytic Neural Network Parameter Extraction Attacks Authors: Ashley Kurian; Aydin Aysu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Neural network; cryptanalytic attack; parameter extraction; neuron similarity; training
4872	Training-free Detection of AI-generated images via Cropping Robustness Authors: Sungik Choi; Hankook Lee; Moontae Lee Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI-generated image detection; Training-free; self-supervised model; RandomResizedCrop
4873	Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders Authors: Mengyu Ye; Jun Suzuki; Tatsuro Inaba; Tatsuki Kuribayashi Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: interpretability; key-value memories; sparse autoencoders
4874	Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Authors: Mengru Wang; Xingyu Chen; Yue Wang; Zhiwei He; Jiahao Xu; Tian Liang; Qiuzhi Liu; Yunzhi Yao; Wenxuan Wang; Ruotian Ma; Haitao Mi; Ningyu Zhang; Zhaopeng Tu; Xiaolong Li; Dong Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: MoE; cognitive experts; thinking; large reasoning model
4875	Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks Authors: Gavin McCracken; Gabriela Moisescu-Pareja; Vincent Létourneau; Doina Precup; Jonathan Love Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: mechanistic interpretability; interpretability; universality; modular addition; group theory
4876	Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis Authors: Enze Shi; Pankaj Bhagwat; Zhixian Yang; Linglong Kong; Bei Jiang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Algorithmic Fairness; Fairness–Utility Trade-off; Sufficient Dimension Reduction; Influence Functions
4877	Understanding and Improving Adversarial Robustness of Neural Probabilistic Circuits Authors: Weixin Chen; Han Zhao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Concept Bottleneck Models; Neuro-Symbolic AI; Interpretability; Adversarial Robustness
4878	Understanding and Improving Fast Adversarial Training against $l_0$ Bounded Perturbations Authors: Xuyang Zhong; Yixiao Huang; Chen Liu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: adversarial robustness; adversarial training
4879	Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness Authors: Stephen R Pfohl; Natalie Harris; Chirag Nagpal; David Madras; Vishwali Mhasawade; Olawale Elijah Salaudeen; Awa Dieng; Shannon Sequeira; Santiago Eduardo Arciniegas; Lillian Sung;… Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: fairness; distribution shift; causality
4880	Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy Authors: Bogdan Kulynych; Juan Felipe Gomez; Georgios Kaissis; Jamie Hayes; Borja Balle; Flavio Calmon; Jean Louis Raisaro Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: differential privacy; privacy risk; re-identification; singling out; attribute inference; data reconstruction; machine learning
4881	Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM Authors: Xiaoyu Wu; Yifei Pang; Terrance Liu; Steven Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: data extraction; privacy; unlearning; model guidance; large language models
4882	Unlearning-Aware Minimization Authors: Hoki Kim; Keonwoo Kim; Sungwon Chae; Sangwon Yoon Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Machine Unlearning; Min-Max Optimization; Unlearning-Aware Minimization
4883	Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing Authors: Danial Samadi Vahdati; Tai Duc Nguyen; Ekta Prashnani; Koki Nagano; david luebke; Orazio Gallo; Matthew Stamm Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Multimedia Forensics; Talking Head Videos; Talking Head Videoconferencing; Puppeteering Attacks
4884	Unveiling Concept Attribution in Diffusion Models Authors: Quang H Nguyen; Hoang Phan; Khoa D Doan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: generative models; diffusion models; interpretability; concept erasure
4885	Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization Authors: Xinyan Su; Zhiheng Zhang; Jiyan Qiu; Zhaojuan Yue; Jun Li Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: influence maximization; causal inference; social networks
4886	Unveiling the Uncertainty in Embodied and Operational Carbon of Large AI Models through a Probabilistic Carbon Accounting Model Authors: Xiaoyang Zhang; He Fang; Yang Deng; Dan Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Carbon footprint; Large AI models; Large language models
4887	V-CECE: Visual Counterfactual Explanations via Conceptual Edits Authors: Nikolaos Spanos; Maria Lymperaiou; Giorgos Filandrianos; Konstantinos Thomas; Athanasios Voulodimos; Giorgos Stamou Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: counterfactual explanations; diffusion models; LVLMs; XAI
4888	VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set Authors: Shufan Shen; Junshu Sun; Qingming Huang; Shuhui Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Representation Interpretability; Vision-Language Alignment; Sparse Autoencoder
4889	VLMs can Aggregate Scattered Training Patches Authors: Zhanhui Zhou; Lingjie Chen; Chao Yang; Chaochao Lu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: vision-language model; safety; out-of-context reasoning
4890	Vector Database Watermarking Authors: zhiwen ren; Wei Fan; Qiyi Yao; Jing Qiu; Weiming Zhang; Nenghai Yu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Watermark; ANN; Vector database
4891	Versatile Transferable Unlearnable Example Generator Authors: Zhihao Li; Jiale Cai; Gezheng Xu; Hao Zheng; Qiuyue Li; Fan Zhou; Shichun Yang; Charles Ling; Boyu Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: unlearnable examples; data privacy
4892	Vid-SME: Membership Inference Attacks against Large Video Understanding Models Authors: Qi Li; Runpeng Yu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Membership Inference; Video-Language Models
4893	WMCopier: Forging Invisible Watermarks on Arbitrary Images Authors: Ziping Dong; Chao Shuai; Zhongjie Ba; Peng Cheng; Zhan Qin; Qinglong Wang; Kui Ren Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: AI-generated content Watermarking; Forgery Attack
4894	Watermarking Autoregressive Image Generation Authors: Nikola Jovanović; Ismail Labiad; Tomas Soucek; Martin Vechev; Pierre Fernandez Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: watermarking; autoregressive; text; image; LLM; multimodal
4895	What Really is a Member? Discrediting Membership Inference via Poisoning Authors: Neal Mangaokar; Ashish Hooda; Zhuohang Li; Bradley A. Malin; Kassem Fawaz; Somesh Jha; Atul Prakash; Amrita Roy Chowdhury Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Membership Inference; Poisoning Attacks; Robustness
4896	What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions Authors: Sang Keun Choe; Hwijeen Ahn; Juhan Bae; Kewen Zhao; Youngseog Chung; Adithya Pratapa; Willie Neiswanger; Emma Strubell; Teruko Mitamura; Jeff Schneider; Eduard Hovy; Roger Baker G… Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: data attribution; data valuation; influence functions
4897	When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration Authors: Quan Shi; Carlos E Jimenez; Shunyu Yao; Nick Haber; Diyi Yang; Karthik R Narasimhan Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: LLMs for coding; LLMs for math; Human Study; HCI; AI-assisted ideation
4898	Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers Authors: Xin Zhao; Xiaojun Chen; Bingshan Liu; Haoyu Gao; Zhendong Zhao; Yilong Chen Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Backdoor Attacks; Mixture-of-Experts; Large Language Models
4899	Wisdom is Knowing What not to Say: Hallucination-Free LLMs Unlearning via Attention Shifting Authors: Chenchen Tan; Youyang Qu; Xinghao Li; Hui Zhang; Shujie Cui; Cunjian Chen; Longxiang Gao Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: machine unlearning; large language model; LLM unlearn
4900	X2-DFD: A framework for explainable and extendable Deepfake Detection Authors: Yize Chen; Zhiyuan Yan; Guangliang Cheng; Kangran Zhao; Siwei Lyu; Baoyuan Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Deepfake Detection; Forgery Detection; Fake Image Detection
4901	You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM Authors: Binqian Xu; Haiyang Mei; Zechen Bai; Jinjin Gong; Rui Yan; Guo-Sen Xie; Yazhou Yao; Basura Fernando; Xiangbo Shu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: MLLMs; One-shot FL; LoRA; Adaptive Ensemble; True One-shot Communication
4902	Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model Authors: Runheng Liu; Heyan Huang; Xingchen Xiao; Zhijing Wu Affiliation: 官方页面未列出 Official area / track: social_and_economic_aspects_of_machine_learning Recognition: Poster/Regular Keywords: Large Language Model; LLM Generated Text Detection; Reward Model; Zero-Shot Detection
4903	A CLT for Polynomial GNNs on Community-Based Graphs Authors: Luciano Vinas; Arash A. Amini Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Graph Neural Networks; Neighbor Aggregation; Convergence of Measures; Central Limit Theorem; GNN Oversmoothing; Stochastic Block Model
4904	A Closer Look at NTK Alignment: Linking Phase Transitions in Deep Image Regression Authors: Giuseppe Castiglione; Christopher Buckley; Ivor J A Simpson Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: neural tangent kernel; phase transitions; learning dynamics
4905	A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing Authors: Alex Clinton; Thomas Zeng; Yiding Chen; Jerry Zhu; Kirthevasan Kandasamy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data sharing; two-sample testing; mechanism design
4906	A Differential and Pointwise Control Approach to Reinforcement Learning Authors: Minh Phuong Nguyen; Chandrajit L. Bajaj Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Hamiltonian Dynamics; Policy Optimization; Pointwise Convergence; Continuous-Time Control; Physics-Informed Learning; Scientific Computing
4907	A Dynamic Learning Strategy for Dempster-Shafer Theory with Applications in Classification and Enhancement Authors: Linlin Fan; Xingyu Liu; Mingliang Zhou; Xuekai Wei; Weizhi Xian; Jielu Yan; Weijia Jia Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Dempster–Shafer theory; Dynamic learning strategy; Adaptive diffusion probability transformation; Collaborative decision optimization
4908	A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging Authors: Sajad Khodadadian; Martin Zubeldia Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stochastic Approximation; Polyak-Ruppert Averaging; high-probability bound
4909	A Geometric Analysis of PCA Authors: Ayoub El Hanchi; Murat A Erdogdu; Chris J. Maddison Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: PCA; learning theory; CLT; self-concordance; Grassmannian; block rayleigh quotient
4910	A Learning-Augmented Approach to Online Allocation Problems Authors: Ilan Reuven Cohen; Debmalya Panigrahi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online algorithm; learning-augmented algorithm; virtual circuit routing
4911	A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers Authors: William Merrill; Ashish Sabharwal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: looped transformers; expressivity; state tracking; graph connectivity; circuit complexity
4912	A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics Authors: Licong Lin; Song Mei Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Contrastive learning; data augmentation; SimCLR; approximate sufficient statistics
4913	A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant Models Authors: YuQing Xie; Tess Smidt Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: equivariance; loss landscape; optimization; group theory; parameter symmetry; symmetry
4914	A Theory for Worst-Case vs. Average-Case Guarantees for LLMs Authors: Noga Amit; Shafi Goldwasser; Orr Paradise; Guy N. Rothblum Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Trustworthy ML; Interactive Proofs; Computational Complexity Theory
4915	A Unified Approach to Submodular Maximization Under Noise Authors: Kshipra Bhawalkar; Yang Cai; Zhe Feng; Christopher Liaw; Tao Lin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: submodular maximization; noisy submodular maximization; robustness; continuous greedy algorithm
4916	A solvable model of learning generative diffusion: theory and insights Authors: Hugo Cui; Cengiz Pehlevan; Yue M. Lu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: high-dimensional asymptotics; statistical physics; diffusion model
4917	A unified framework for establishing the universal approximation of transformer-type architectures Authors: Jingpu Cheng; Ting Lin; Zuowei Shen; Qianxiao Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: transformers; approximation theory; equivariance
4918	Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models Authors: Yuchen Liang; Renxiang Huang; Lifeng Lai; Ness Shroff; Yingbin Liang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Discrete diffusion models; absorbing rate; tau-leaping; uniformization
4919	Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold Authors: Xinghan Li; Haodong Wen; Kaifeng Lyu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Adam; adaptive gradient methods; implicit bias; regularization; deep learning theory
4920	Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees Authors: Chenguang Duan; Yuling Jiao; Huazhen Lin; Wensen Ma; Jerry Zhijian Yang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: self-supervised representation learning; transfer learning; adversarial training; error analysis
4921	Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order Acceleration Authors: Yifeng Yu; Lu Yu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion model; Wasserstein convergence; Convergence Analysis
4922	Adversarial Robustness of Nonparametric Regression Authors: Parsa Moradi; Hanzaleh Akbari Nodehi; Mohammad Ali Maddah-Ali Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Nonparametric regression; Adversarial Robustness; Smoothing Spline
4923	Adversarial generalization of unfolding (model-based) networks Authors: Vicky Kouni Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: unfolding networks; adversarial generalization; adversarial Rademacher complexity
4924	Agnostic Continuous-Time Online Learning Authors: Pramith Devulapalli; Changlong Wu; Ananth Grama; Wojciech Szpankowski Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: continuous-time online learning; query efficiency; adaptive adversaries; importance weighting; Littlestone dimension
4925	Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models Authors: Benjamin Dupuis; Dario Shariatian; Maxime Haddouche; Alain Oliviero Durmus; Umut Simsekli Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion models; Generalization bounds; Score-based generative models
4926	AlphaBeta is not as good as you think: a simple class of synthetic games for a better analysis of deterministic game-solving algorithms Authors: Raphael Boige; Amine Boumaza; Bruno Scherrer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Algorithmic Game Theory; Probabilistic Models; Minimax; Planning; Synthetic Game; Complexity Analysis
4927	Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks Authors: Daniel Kunin; Giovanni Luca Marchetti; Feng Chen; Dhruva Karkada; James B Simon; Michael R DeWeese; Surya Ganguli; Nina Miolane Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: feature learning; saddle-to-saddle dynamics; incremental learning; vanishing initialization; emergence; modular addition; Fourier features
4928	An Adaptive Quantum Circuit of Dempster's Rule of Combination for Uncertain Pattern Classification Authors: Fuyuan Xiao; Yu Zhou; Witold Pedrycz Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Uncertain pattern classification; Quantum evidence theory; Adaptive quantum circuit; Dempster's rule of combination; Quantum amplitude encoding mechanism; Quan…
4929	An Improved Algorithm for Adversarial Linear Contextual Bandits via Reduction Authors: Tim van Erven; Jack Mayo; Julia Olkhovskaya; Chen-Yu Wei Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online learning; contextual bandits; linear bandits
4930	Analyzing the Power of Chain of Thought through Memorization Capabilities Authors: Lijia Yu; Xiao-Shan Gao; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Theory; Chain of Thought; Transformer; Memorization
4931	Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions Authors: Guoji Fu; Wee Sun Lee Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion models; Score-based generative models; Approximation; Generalization
4932	Are Greedy Task Orderings Better Than Random in Continual Linear Regression? Authors: Matan Tsipory; Ran Levinstein; Itay Evron; Mark Kong; Deanna Needell; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: continual learning; lifelong learning; task ordering; curriculum learning; forgetting; kaczmarz
4933	Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds Authors: Vahan Arsenyan; Elen Vardanyan; Arnak S. Dalalyan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generative Modeling; Diffusion Processes; DDPM; Wasserstein Distance; Error Bounds; Log-Concave Distributions; Score Estimation
4934	Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions Authors: Jiehua Chen; Jiong Guo; Yinghui Wen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Fair resource allocation; preferences with congestion aversion; congestion games; polynomial-time algorithms; complexity analysis
4935	Asymptotic theory of SGD with a general learning-rate Authors: Or Goldreich; Ziyang Wei; Soham Bonnerjee; Jiaqi Li; Wei Biao Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning Rate Schedules; Convergence Analysis; Stochastic Gradient Descent; Online Learning
4936	Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks Authors: Luca Arnaboldi; Bruno Loureiro; Ludovic Stephan; Florent Krzakala; Lenka Zdeborova Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: single index model; sequential data; attention; SGD
4937	Attention-based clustering Authors: Rodrigo Maulen-Soto; Pierre Marion; Claire Boyer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Theory of neural networks; Clustering; Transformers; Attention-based models; Mixture models; Optimization; Unsupervised learning
4938	Backward Conformal Prediction Authors: Etienne Gauthier; Francis Bach; Michael I. Jordan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: conformal prediction; e-values; uncertainty quantification; machine learning; statistics
4939	Bandit and Delayed Feedback in Online Structured Prediction Authors: Yuki Shibukawa; Taira Tsuchiya; Shinsaku Sakaue; Kenji Yamanishi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online learning; structured prediction; bandit feedback; delayed feedback
4940	Bayes optimal learning of attention-indexed models Authors: Fabrizio Boncoraglio; Emanuele Troiani; Vittorio Erba; Lenka Zdeborova Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bayes optimal analysis; Transformers; Self-attention mechanism; Random matrix theory; Matrix models; Extensive-rank analysis
4941	Benign Overfitting in Single-Head Attention Authors: Roey Magen; Shuning Shang; Zhiwei Xu; Spencer Frei; Wei Hu; Gal Vardi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: benign overfitting; single-head attention; transformers
4942	Bernstein–von Mises for Adaptively Collected Data Authors: Kevin Du; Yash Nair; Lucas Janson Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bernstein–von Mises; Uncertainty Quantification; Reinforcement Learning; Multi-armed Bandits; Asymptotic Normality; Frequentist Coverage of Credible Intervals
4943	Better NTK Conditioning: A Free Lunch from (ReLU) Nonlinear Activation in Wide Neural Networks Authors: Chaoyue Liu; Han Bi; Like Hui; Xiao Liu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Activation function; condition number; NTK; wide neural network
4944	Beyond Benign Overfitting in Nadaraya-Watson Interpolators Authors: Daniel Barzilai; Guy Kornowski; Ohad Shamir Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Benign overfitting; tempered overfitting; interpolation; generalization; Nadaraya-Watson; kernel
4945	Beyond Last-Click: An Optimal Mechanism for Ad Attribution Authors: Nan An; Weian Li; Qi Qi; Changyuan Yu; Liang Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Ad Attribution; Mechanism Design; Accuracy; Dominant Strategy Incentive Compatible
4946	Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification Authors: Davide Maran; Csaba Szepesvari Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Uniform error; Regression; Lebesgue constant
4947	Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity Assumptions Authors: Nayel Bettache Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Matrix-valued regression; High-dimensional statistics; Sparse estimation; Multivariate analysis; Structured linear models
4948	Block Coordinate Descent for Neural Networks Provably Finds Global Minima Authors: Shunta Akiyama Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Deep learning theory; block coordinate descent; global convergence; generalization error analysis
4949	Breaking AR’s Sampling Bottleneck: Provable Acceleration via Diffusion Language Models Authors: Gen Li; Changxiao Cai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: diffusion model; large language model (LLM); iteration complexity; mutual information
4950	Breaking the Order Barrier: Off-Policy Evaluation for Confounded POMDPs Authors: Qi Kuang; Jiayi Wang; Fan Zhou; Zhengling Qi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: off-policy evaluation; confounded POMDPs; identification
4951	Can Diffusion Models Disentangle? A Theoretical Perspective Authors: Liming Wang; Muhammad Jehanzeb Mirza; Yishu Gong; Yuan Gong; Jiaqi Zhang; Brian H. Tracey; Katerina Placek; Marco Vilela; James R. Glass Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: diffusion models; disentanglement; learning theory
4952	Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies Authors: Vincent Leon; Iosif Sakos; Ryann Sim; Antonios Varvitsiotis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: concave games; monotone games; sum of squares; verifying convexity
4953	Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Authors: Kehan Long; Jorge Cortes; Nikolay Atanasov Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Lyapunov Stability; Reinforcement Learning; Generalized Lyapunov Stability; Stability of Reinforcement Learning Policies
4954	Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models Authors: Dhruva Karkada; James B Simon; Yasaman Bahri; Michael R DeWeese Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning dynamics; contrastive learning; feature learning; word embeddings; matrix factorization
4955	Co-Regularization Enhances Knowledge Transfer in High Dimensions Authors: Shuo Shuo Liu; Haotian Lin; Matthew Reimherr; Runze Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: High Dimensional Statistics; Transfer Learning; Generalized Linear Models; Statistical Learning
4956	Combinatorial Ski Rental Problem: Robust and Learning-Augmented Algorithms Authors: Ziwei Li; Bo Sun; Zhiqiu Zhang; Mohammad Hajiesmaili; Binghan Wu; Lin Yang; Yang Gao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: combinatorial ski rental problem; competitive analysis; learning-augmented algorithm; online optimization
4957	Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization Authors: Marius Potfer; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Auction; Online Learning
4958	Composing Global Solutions to Reasoning Tasks via Algebraic Objects in Neural Nets Authors: Yuandong Tian Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: landscape analysis; modular addition; gradient dynamics; reasoning; symmetry; representation learning
4959	Compositional Reasoning with Transformers, RNNs, and Chain of Thought Authors: Gilad Yehudai; Noah Amsel; Joan Bruna Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning theory; expressiveness; transformers
4960	Computable universal online learning Authors: Dariusz Kalociński; Tomasz Steifer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: universal learning; computable learners; online learning; computational learning theory; agnostic learning
4961	Concentration and excess risk bounds for imbalanced classification with synthetic oversampling Authors: Touqeer Ahmad; Mohammadreza Mousavi Kalan; François Portier; Gilles Stupfler Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Synthetic oversampling; Imbalanced classification; Concentration inequality; Excess risk bound; AM-risk
4962	Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions Authors: Philip Boeken; Onno Zoeter; Joris M. Mooij Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: performative prediction; conditional forecasts; proper scoring rules; divergence; IPW; causality
4963	Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization Authors: Sunay Joshi; Shayan Kiyani; George J. Pappas; Edgar Dobriban; Hamed Hassani Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: conformal prediction; covariate shift; uncertainty quantification; distribution shift; distribution-free prediction; prediction sets; high-dimensional data
4964	Consistency Conditions for Differentiable Surrogate Losses Authors: Drona Khurana; Anish Thilagar; Dhamma Kimpara; Rafael Frongillo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Statistical consistency; surrogate loss functions; calibration; property elicitation
4965	Consistency of the $k_n$-nearest neighbor rule under adaptive sampling Authors: Robi Bhattacharjee; Geelon So; Sanjoy Dasgupta Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Smoothed analysis; online learning; non-parametric estimation; consistency
4966	Constant Bit-size Transformers Are Turing Complete Authors: Qian Li; Yuyi Wang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformer; Turing complete; Post machine; context window length; space complexity
4967	Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits Authors: Shaoang Li; Jian Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Non-stationary bandits; constrained feedback; query budget; query-reward tradeoff
4968	Constrained Linear Thompson Sampling Authors: Aditya Gangrade; Venkatesh Saligrama Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Safe Bandits; Linear Bandits; Thompson Sampling
4969	Constrained Optimization From a Control Perspective via Feedback Linearization Authors: Runyu Zhang; Arvind Raghunathan; Jeff S Shamma; Na Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Constrained Optimization; Control Theory; Feedback Linearization
4970	Contextual Dynamic Pricing with Heterogeneous Buyers Authors: Thodoris Lykouris; Sloan Nietert; Princewill Okoroafor; Chara Podimata; Julian Zimmert Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: dynamic pricing; bandits; contextual
4971	Contextual Thompson Sampling via Generation of Missing Data Authors: Kelly W. Zhang; Tiffany Cai; Hongseok Namkoong; Daniel Russo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contextual bandits; Thompson sampling; sequence modeling; Bayesian modeling; uncertainty quantification; decision-making
4972	Contrastive Learning with Data Misalignment: Feature Purity, Training Dynamics and Theoretical Generalization Guarantees Authors: Jiawei Sun; Shuai Zhang; Hongkang Li; Meng Wang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Contrastive Learning; Training Dynamics; Generalization Guarantees; Learning Theory
4973	Convergence Rates for Gradient Descent on the Edge of Stability for Overparametrised Least Squares Authors: Lachlan Ewen MacDonald; Hancheng Min; Leandro Palma; Salma Tarmoun; Ziqing Xu; Rene Vidal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: optimization; edge of stability; large learning rate; gradient descent; theory; manifold; sharpness; flat minima
4974	Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles Authors: Kushagra Gupta; Surya Murthy; Mustafa O. Karabag; ufuk topcu; David Fridovich-Keil Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: cooperative bargaining; game theory
4975	Coresets for Clustering Under Stochastic Noise Authors: Lingxiao Huang; Zhize Li; Nisheeth K. Vishnoi; Runkai Yang; Haoyu Zhao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: coreset; clustering; stochastic noise; error metrics
4976	Cyclic Counterfactuals under Shift–Scale Interventions Authors: Saptarshi Saha; Dhruv Vansraj Rathore; Utpal Garain Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Counterfactuals; Causality; cyclic SCM
4977	Data-Dependent Regret Bounds for Constrained MABs Authors: Gianmarco Genalti; Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data-Dependent Bounds; MAB; Hard Constraints
4978	Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency Authors: Naoki Nishikawa; Rei Higuchi; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Degrees of Freedom; Linear Attention
4979	Demystifying Spectral Feature Learning for Instrumental Variable Regression Authors: Dimitri Meunier; Antoine Moulin; Jakub Wornbard; Vladimir R Kostic; Arthur Gretton Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: instrumental variable regression; NPIV; nonparametric statistics; feature learning; causal inference; operator learning
4980	Deployment Efficient Reward-Free Exploration with Linear Function Approximation Authors: Zihan Zhang; Yuxin Chen; Jason D. Lee; Simon Shaolei Du; Lin Yang; Ruosong Wang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Reinforcement learning; linear MDP; deployment efficiency
4981	Dimension-free Score Matching and Time Bootstrapping for Diffusion Models Authors: Syamantak Kumar; Dheeraj Mysore Nagaraj; Purnamrita Sarkar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion Models; Score Matching; Empirical Risk Minimization; Generalization; Markov Chain; Learning from Markov Dependent Data
4982	Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees Authors: Yuchen Liang; Yingbin Liang; Lifeng Lai; Ness Shroff Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Discrete diffusion models; convergence analysis; tau-leaping; Euler method; Tweedie tau-leaping
4983	Distances for Markov chains from sample streams Authors: Sergio Calo; Anders Jonsson; Gergely Neu; Ludovic Schwartz; Javier Segovia-Aguas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Optimal Transport; Markov Chains; bisimulation; primal dual; stochastic methods
4984	Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences? Authors: Paul Gölz; Nika Haghtalab; Kunhe Yang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: social choice; distortion; RLHF; PPO; DPO; Nash Learning from Human Feedback
4985	Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks Authors: Jingyuan Liu; Hao Qiu; Lin Yang; Mengfan Xu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: distributed stochastic bandit
4986	Do Neural Networks Need Gradient Descent to Generalize? A Theoretical Study Authors: Yotam Alexander; Yonatan Slutzky; Yuval Ran-Milo; Nadav Cohen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Neural Networks; Generalization; Implicit Bias; Theory; Matrix Factorization
4987	Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond Authors: Kiarash Banihashem; Jeff Giliberti; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Dynamic algorithm; diameter problem; adaptive adversary; high dimensional space
4988	Dynamic Regret Reduces to Kernelized Static Regret Authors: Andrew Jacobsen; Alessandro Rudi; Francesco Orabona; Nicolò Cesa-Bianchi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: dynamic regret; online learning; parameter-free; non-stationary; kernels; reproducing kernel hilbert space; RKHS
4989	Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding Authors: Duy-Tung Pham; An Nguyen The; Viet-Hoang Tran; Nhan-Phu Chung; Xin T. Tong; Tan Minh Nguyen; Thieu Vo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: dynamical property of tokens; deep neural network; attention; attention with positional encoding
4990	Efficient Kernelized Learning in Polyhedral Games beyond Full Information: From Colonel Blotto to Congestion Games Authors: Andreas Kontogiannis; Vasilis Pollatos; Gabriele Farina; Panayotis Mertikopoulos; Ioannis Panageas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Colonel Blotto; Congestion Games; CCE; No-Regret Learning; Kernelization
4991	Efficient Last-Iterate Convergence in Solving Extensive-Form Games Authors: Linjian Meng; Tianpei Yang; Youzhi Zhang; Zhenxing Ge; Shangdong Yang; Tianyu Ding; Wenbin Li; Bo An; Yang Gao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Counterfactual Regret Minimization; Extensive-Form Games; Last-Iterate Convergence
4992	Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates Authors: Shivani Agarwal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: PAC learning; surrogate losses; proper composite losses; multiclass classification; multi-label prediction; subset ranking; generalized linear models
4993	Efficient Spectral Control of Partially Observed Linear Dynamical Systems Authors: Anand Paresh Brahmbhatt; Gon Buzaglo; Sofiia Druchyna; Elad Hazan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online Convex Optimization; Online Control; Linear Dynamical Systems
4994	Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles Authors: Aadirupa Saha; Robert E. Schapire Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contextual dueling bandits; relative; dueling feedback; preference; offline regression oracle; regret minimization; continuous decision spaces
4995	Efficiently Verifiable Proofs of Data Attribution Authors: Ari Karchmer; Seth Neel; Martin Pawelczyk Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data Attribution; Component Attribution; Verifiable ML; Interactive Proofs; PAC-Verification
4996	Emergence and scaling laws in SGD learning of shallow neural networks Authors: Yunwei Ren; Eshaan Nichani; Denny Wu; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: scaling laws; stochastic gradient descent; shallow neural network; multi-index model
4997	Escaping Collapse: The Strength of Weak Data for Large Language Model Training Authors: Kareem Amin; Sara Babakniya; Alex Bie; Weiwei Kong; Umar Syed; Sergei Vassilvitskii Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Large-language models; synthetic data
4998	Estimating Hitting Times Locally at Scale Authors: Themistoklis Haris; Fabian Christian Spaeh; Spyros Dragazis; Charalampos Tsourakakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: random walks; hitting times; local algorithms; graphs; effective resistance; markov chains
4999	Estimation of Stochastic Optimal Transport Maps Authors: Sloan Nietert; Ziv Goldfeld Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: optimal transport; map estimation; non-parametric statistics; robust statistics
5000	Estimation of Treatment Effects in Extreme and Unobserved Data Authors: Jiyuan Tan; Vasilis Syrgkanis; Jose Blanchet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Causal Inference; Extreme Value Theory; Treatment Effect
5001	Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits Authors: Yuzhou Gu; Yanjun Han; Jian Qian Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multi-armed bandits; mutual information; Fano's inequality
5002	Evolutionary Prediction Games Authors: Eden Saig; Nir Rosenfeld Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Evolutionary Game Theory; Feedback Loops; Stateful Performative Prediction; Potential Games; Replicator Dynamics
5003	Exact Expressive Power of Transformers with Padding Authors: William Merrill; Ashish Sabharwal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: transformers; padding tokens; looped transformers; expressivity; circuit complexity; inference-time compute
5004	Explaining the Law of Supply and Demand via Online Learning Authors: Stratis Skoulakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online Learning; Game Theory; No Regret Minimization
5005	Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL Authors: Tong Yang; Bo Dai; Lin Xiao; Yuejie Chi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: exploration-exploitation trade-off; actor-critic; RL theory
5006	Exponential Convergence Guarantees for Iterative Markovian Fitting Authors: Marta Gentiloni Silveri; Giovanni Conforti; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Iterative Markovian Fitting; Convergence guarantees; Schrödinger Bridge; Generative Models
5007	Fair Matroid Selection Authors: Kiarash Banihashem; MohammadTaghi Hajiaghayi; Danny Mittal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online algorithms; Fairness; Secretary problem
5008	Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity Authors: Lutz Oettershagen; Othon Michail Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: fairness; temporal graphs; reachability; resource efficiency; approximation algorithms; optimization; group-level coverage; multi-source learning; communicatio…
5009	Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies Authors: Junyu Huang; Zhen Zhang; Beirong Cui; Jianxin Wang; Qilong Feng Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Local Search; Clustering Approximation
5010	Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes Authors: Hossein Zakerinia; Christoph H. Lampert Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multitask learning; generalization bounds; PAC-Bayes; fast-rate; unbalanced
5011	Fast attention mechanisms: a tale of parallelism Authors: Jingwen Liu; Hantao Yu; Clayton Sanford; Alexandr Andoni; Daniel Hsu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformer theory; representational strength; nearest neighbor search; massively parallel computation
5012	Fast exact recovery of noisy matrix from few entries: the infinity norm approach Authors: BaoLinh Tran; Van Vu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Matrix Completion; Matrix Perturbation; Recommendation System; Random Matrices
5013	Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control Authors: Hongyi Zhou; Jingwei Li; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online control; system identification; continuous-time linear system
5014	Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning Authors: Yang Xu; Washim Uddin Mondal; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Robust Reinforcement Learning; Policy Evaluation; Finite-Sample Analysis; Average Reward MDPs; Stochastic Approximation
5015	Formal Models of Active Learning from Contrastive Examples Authors: Farnam Mansouri; Hans U. Simon; Adish Singla; Yuxin Chen; Sandra Zilles Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: membership queries; self-directed learning; learning boolean functions; learning from contrastive examples
5016	Foundations of Top-$k$ Decoding for Language Models Authors: Georgy Noarov; Soham Mallick; Tao Wang; Sunay Joshi; Yan Sun; Yangxinyu Xie; Mengxin Yu; Edgar Dobriban Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Large Language Models; Top-$k$ Decoding; Adaptive Decoding; Sparse Optimization; $\ell_0$-Regularization; Bregman Divergence
5017	FraPPE: Fast and Efficient Preference-Based Pure Exploration Authors: Udvas Das; Apurv Shukla; Debabrota Basu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bandits; Pareto Set Identification; Pure Exploration; Fixed Confidence; Sample Complexity; Preference Cone
5018	From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications Authors: Yang Cai; Haipeng Luo; Chen-Yu Wei; Weiqiang Zheng Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Last-Iterate Convergence; Learning in Games; Zero-Sum Games; Bandit Feedback; Online Learning
5019	From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards Authors: Liad Erez; Tomer Koren Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multiclass; classification; bandit; combinatorial; online; pac; exploration
5020	From Information to Generative Exponent: Learning Rate Induces Phase Transitions in SGD Authors: Konstantinos Christopher Tsiolis; Alireza Mousavi-Hosseini; Murat A Erdogdu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Feature learning; stochastic gradient descent; single-index model
5021	From Kolmogorov to Cauchy: Shallow XNet Surpasses KANs Authors: Xin Li; Xiaotao Zheng; Zhihong Jeff Xia Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Universal Approximation Theory; Rational Activation Functions; Scientific Machine Learning; Function Approximation; Symbolic Reasoning
5022	From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning Authors: Junsoo Oh; Jerry Song; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: weak-to-strong generalization; theory; feature learning
5023	Functional data analysis for multivariate distributions through Wasserstein slicing Authors: Han Chen; Hans-Georg Müller Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Distributional data analysis; multivariate distributional data; Radon transform; Sliced Wasserstein distance
5024	G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks Authors: Alireza Aghasi; Nicholas F. Marshall; Saeid Pourmand; Wyatt D. Whiting Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Hyperdimensional Computing; Random Binary Neural Networks
5025	Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits Authors: Shogo Iwazaki Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Gaussian process bandits; regret analysis; near optimality
5026	Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel Authors: Yilan Chen; Zhichao Wang; Wei Huang; Andi Han; Taiji Suzuki; Arya Mazumdar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generalization bound; algorithm-dependent bound; data-dependent kernel; neural tangent kernel
5027	Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity Authors: Pengqi Li; Lizhong Ding; Jiarun Fu; ChunhuiZhang; Guoren Wang; Ye Yuan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generalization bounds; Kolmogorov-Arnold Networks; Model complexity.
5028	Generalization Bounds for Model-based Algorithm Configuration Authors: Zhiyang Chen; Hailong Yao; Xia Yin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: generalization bound; data-driven algorithm design; theory of algorithm configuration; algorithmic stability
5029	Generalization Bounds for Rank-sparse Neural Networks Authors: Antoine Ledent; Rodrigo Alves; Yunwen Lei Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning Theory; Generalization Bounds; Schatten Norms; Low-rank
5030	Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention Authors: Arya Honarpisheh; Mustafa Bozdag; Octavia Camps; Mario Sznaier Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generalization Bounds; State-Space Models; Selective Scan; Stability; Transformers; Rademacher Complexity; Covering Numbers
5031	Generalization or Hallucination? Understanding Out-of-Context Reasoning in Transformers Authors: Yixiao Huang; Hanlin Zhu; Tianyu Guo; Jiantao Jiao; Somayeh Sojoudi; Michael I. Jordan; Stuart Russell; Song Mei Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Factual implication; Transformer; Implicit bias
5032	Generalization vs Specialization under Concept Shift Authors: Alex Nguyen; David J. Schwab; Vudtiwat Ngampruetikorn Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: concept shift; distribution shift; ridge regression; thermodynamic limit; high-dimensional learning; solvable model; out-of-distribution generalization
5033	Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update Authors: Yu-Jie Zhang; Sheng-An Xu; Peng Zhao; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generalized Linear Bandits; Online Mirror Descent; Computational Efficiency; Regret Analysis
5034	Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms Authors: Davide Straziota; Elizaveta Demyanenko; Carlo Baldassi; Carlo Lucibello Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: generative diffusion; approximate message passing; perceptron; spin glasses; statistical physics; markov chain monte carlo
5035	Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm Authors: Yang Xu; Swetha Ganesh; Washim Uddin Mondal; Qinbo Bai; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Reinforcement Learning; Actor-Critic Methods; Constrained Markov Decision Processes; Policy Gradient; Global Convergence
5036	Global Minimizers of $\ell^p$-Regularized Objectives Yield the Sparsest ReLU Neural Networks Authors: Julia B Nakhleh; Robert D Nowak Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: neural networks; sparsity; path norm; min norm interpolators; representational cost
5037	Global Minimizers of Sigmoid Contrastive Loss Authors: Kiril Bangachev; Guy Bresler; Iliyas Noman; Yury Polyanskiy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Representation Learning; Contrastive Learning; Multimodal Encoders; Sigmoid Loss; Modality Gap
5038	Globally Optimal Policy Gradient Algorithms for Reinforcement Learning with PID Control Policies Authors: Vipul Kumar Sharma; Wesley A. Suttle; S Sivaranjani Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: policy gradient; proportional-integral-derivative control; reinforcement learning; non-convex optimization
5039	Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules Authors: John Vastola; Samuel J. Gershman; Kanaka Rajan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: gradient descent; optimization; momentum; natural gradient; Adam; learning rules; theory; optimal control; normative framework; variational principles; continu…
5040	Graph Alignment via Birkhoff Relaxation Authors: Sushil Mahavir Varma; Irène Waldspurger; Laurent Massoulié Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Graph Alignment; Quadratic Assignment Problem; Convex Relaxation; Sensitivity Analysis
5041	Greedy Algorithms for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure Authors: Aleksandrs Slivkins; Yunzong Xu; Shiliang Zuo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-arm bandits; contextual bandits; structured bandits; greedy algorithm; regret
5042	Hadamard Test is Sufficient for Efficient Quantum Gradient Estimation with Lie Algebraic Symmetries Authors: Mohsen Heidari; Masih Mozakka; Wojciech Szpankowski Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: quantum machine learning; sample complexity; Lie algebras; shadow tomography
5043	Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis Authors: Bochen Lyu; Xiaojing Zhang; Fangyi Zheng; He Wang; Zheng Wang; Zhanxing Zhu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: continuous approximation; momentum; HB
5044	How Classifier Features Transfer to Downstream: An Asymptotic Analysis in a Two-Layer Model Authors: HEE BIN YOO; Sungyoon Lee; Cheongjae Jang; Dong-Sig Han; Jaein Kim; Seunghyeon Lim; Byoung-Tak Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: open-set clustering; feature transfer; two-layer neural network; feature learning; metric learning; retrieval
5045	How Data Mixing Shapes In-Context Learning: Asymptotic Equivalence for Transformers with MLPs Authors: Samet Demir; Zafer Dogan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformer; in-context learning; nonlinear MLP; data mixing; Gaussian universality
5046	How Does Label Noise Gradient Descent Improve Generalization in the Low SNR Regime? Authors: Wei Huang; Andi Han; Yujin Song; Yilan Chen; Denny Wu; Difan Zou; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Label noise gradient descent; low signal-to-noise ratio; optimization and generalization
5047	How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension Authors: Cynthia Dwork; Lunjia Hu; Han Shao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Domain generalization; PAC learning; sample complexity; shattering dimension; partial concepts
5048	How Patterns Dictate Learnability in Sequential Data Authors: Mario Morawski; Anaïs Després; Remi Rehm Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Time Series; Sequential Data; Autoregressive Models; Mutual Information; Generalization Error
5049	How to Learn a Star: Binary Classification with Starshaped Polyhedral Sets Authors: Marie-Charlotte Brandenburg; Katharina Jochemko Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: binary classification; starshaped polyhedral sets; VC dimension; convex optimization; sublevel sets; polyhedral geometry
5050	Impartial Selection with Predictions Authors: Javier Cembrano; Felix Fischer; Max Klimm Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: impartial selection; mechanisms with predictions
5051	Improved Approximation Algorithms for Chromatic and Pseudometric-Weighted Correlation Clustering Authors: Chenglin Fan; Dahoon Lee; Euiwoong Lee Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Correlation Clustering; Chromatic Clustering; Approximation Algorithms; Graph Algorithms
5052	Improved Balanced Classification with Theoretically Grounded Loss Functions Authors: Corinna Cortes; Mehryar Mohri; Yutao Zhong Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: balanced loss; imbalanced data; consistency; surrogate loss; learning theory
5053	Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback Authors: Ofir Schlisselberg; Tal Lancewicki; Peter Auer; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bandits; Delayed Feedback; multi-armed bandit; Best-of-Both-Worlds; regret minimization
5054	Improved Regret and Contextual Linear Extension for Pandora's Box and Prophet Inequality Authors: Junyan Liu; Ziyun Chen; Kun Wang; Haipeng Luo; Lillian J. Ratliff Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Pandora's Box; Prophet Inequality; Semi-bandits; Regret minimization
5055	Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point Authors: Hongjie Chen; Jingqiu Ding; Yiding Hua; Stefan Tiegel Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Robust statistics; random graph estimation; sum-of-squares
5056	Improved Scaling Laws in Linear Regression via Data Reuse Authors: Licong Lin; Jingfeng Wu; Peter Bartlett Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Scaling laws; linear regression; multi-pass SGD; data reuse
5057	Improving Decision Trees through the Lens of Parameterized Local Search Authors: Juha Harviainen; Frank Sommer; Manuel Sorge Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: efficient algorithms; running time lower bounds; dynamic programming; threshold adjustment; cut exchange; node disturbance
5058	In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation Authors: Frank Cole; Yuxuan Zhao; Yulong Lu; Tianhao Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: In-context learning; linear dynamical systems; depth-separation
5059	Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints Authors: Yan Dai; Negin Golrezaei; Patrick Jaillet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Mechanism Design; Online Resource Allocation; Strategic Agents; Primal-Dual; Online Learning
5060	Incentivizing Truthful Language Models via Peer Elicitation Games Authors: Baiting Chen; Tong Zhu; Jiale Han; Lexin Li; Gang Li; Xiaowu Dai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Large language models; Mechanism design; Nash equilibrium; Peer prediction
5061	Individual Regret in Cooperative Stochastic Multi-Armed Bandits Authors: Idan Barnea; Tal Lancewicki; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: MAB; Multi-armed bandit; stochastic MAB; cooperation
5062	Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination Authors: Ilias Diakonikolas; Chao Gao; Daniel Kane; John Lafferty; Ankit Pensia Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning theory; information computation tradeoff; robust statistics; statistical query algorithms
5063	Information-Theoretic Discrete Diffusion Authors: Moongyu Jeon; Sangwoo Shin; Dongjae Jeon; Albert No Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Discrete Diffusion Models; Information Theory; Score Matching; Denoising Score Entropy (DSE); Denoising Cross-Entropy (DCE)
5064	Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables Authors: Futoshi Futami; Masahiro Fujisawa Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Information theoretic generalization analysis; IT analysis; generalization error analysis; VQ-VAE; vector quantized VAE
5065	Infrequent Exploration in Linear Bandits Authors: Harin Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: linear bandits; greedy selection
5066	Instance-Dependent Regret Bounds for Nonstochastic Linear Partial Monitoring Authors: Federico Di Gennaro; Khaled Eldowa; Nicolò Cesa-Bianchi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Partial monitoring; exploration-by-optimization; linear bandits; online learning
5067	It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation Authors: Jikai Jin; Lester Mackey; Vasilis Syrgkanis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: structure-agnostic causal inference; minimax; causal machine learning; semiparametric inference; Neyman orthogonality; double machine learning; higher-order ro…
5068	Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry Authors: Chengyuan Deng; Jie Gao; Kevin Lu; Feng Luo; Cheng Xin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Johnson-Lindenstrauss Lemma; Non-Euclidean Geometry
5069	Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization Authors: Antonio H. Ribeiro; David Vävinggren; Dave Zachariah; Thomas B. Schön; Francis Bach Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Kernel learning; adversarial training; generalization bounds
5070	Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning Authors: Dechen Zhang; Zhenmei Shi; Yi Zhang; Yingyu Liang; Difan Zou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: kernel ridge regression; generalization; sample complexity; diffusion model
5071	Kernel conditional tests from learning-theoretic bounds Authors: Pierre-François Massiani; Christian Fiedler; Lukas Haverbeck; Friedrich Solowjow; Sebastian Trimpe Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: kernel methods; hypothesis testing; statistical learning
5072	Kernel von Mises Formula of the Influence Function Authors: Yaroslav Mukhin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Influence function; Fisher-Rao gradient; first variation; tangential interpolation; semiparametric estimation; distributional robustness; kernel PCA; Mercer ke…
5073	Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning Authors: Yijin Ni; Xiaoming Huo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Fair Representation Learning; Kernel Methods; Equalized Odds; Demographic Parity; Fairness-Accuracy Trade-off
5074	Knee-Deep in C-RASP: A Transformer Depth Hierarchy Authors: Andy Yang; Michaël Cadilhac; David Chiang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformers; Depth; Layers; Formal Language Theory; Temporal Logic; Expressivity
5075	LLM Query Scheduling with Prefix Reuse and Latency Constraints Authors: Gregory Dexter; Shao Tang; Ata Fatahibaarzi; Qingquan Song; Tejas Dharamsi; Aman Gupta Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: queueing theory; scheduling theory; Large Language Models (LLMs); prefix caching
5076	Last Iterate Convergence in Monotone Mean Field Games Authors: Noboru Isobe; Kenshi Abe; Kaito Ariu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: mean-field game; learning in games
5077	Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria Authors: Linjian Meng; Youzhi Zhang; Zhenxing Ge; Tianyu Ding; Shangdong Yang; Zheng Xu; Wenbin Li; Yang Gao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Regret Matching$^+$; Last-Iterate Convergence; Nash Equilibrium
5078	Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data Authors: Qijia He; Minghan Wang; Xutong Liu; Zhiyong Wang; Fang Kong Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online learning; multi-armed bandit; dueling bandit; hybrid feedback
5079	Learning Juntas under Markov Random Fields Authors: Gautam Chandrasekaran; Adam Klivans Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: pac learning; learning juntas; smoothed analysis; ising models; markov random fields
5080	Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis Authors: Yunwei Ren; Jason D. Lee Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multi-index model; online stochastic gradient descent; information exponent; sample complexity
5081	Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards Authors: Yuwei Cheng; Zifeng Zhao; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online learning; Contextual Markov Decision Process; maximum likelihood estimation; delayed reward; reinforcement learning; auto-bidding
5082	Learning Theory for Kernel Bilevel Optimization Authors: Fares El Khoury; Edouard Pauwels; Samuel Vaiter; Michael Arbel Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: bilevel optimization; kernel methods; learning theory; empirical process theory; U-statistic; generalization error bounds
5083	Learning from Delayed Feedback in Games via Extra Prediction Authors: Yuma Fujimoto; Kenshi Abe; Kaito Ariu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning in Games; Delayed Feedback; Regret Analysis
5084	Learning from positive and unlabeled examples -Finite size sample bounds Authors: Farnam Mansouri; Shai Ben-David Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning Theory; PU Learning; Domain Adaptation
5085	Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis Authors: Sihan Zeng; Benjamin Patrick Evans; Sujay Bhatt; Leo Ardon; Sumitra Ganesh; Alec Koppel Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Mean field game; Stackelberg game; reinforcement learning
5086	Learning quadratic neural networks in high dimensions: SGD dynamics and scaling laws Authors: Gerard Ben Arous; Murat A Erdogdu; Nuri Mert Vural; Denny Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: scaling laws; stochastic gradient descent; shallow neural network; multi-index model
5087	Learning single index models via harmonic decomposition Authors: Nirmit Joshi; Hugo Koubbi; Theodor Misiakiewicz; Nathan Srebro Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: single-index models; statistical and computational complexity
5088	Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks Authors: Artur Back de Luca; George Giapitzakis; Kimon Fountoulakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: neural networks; arithmetic; instruction execution
5089	Learning with Restricted Boltzmann Machines: Asymptotics of AMP and GD in High Dimensions Authors: Yizhou Xu; Florent Krzakala; Lenka Zdeborova Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Restricted Boltzmann Machine; Approximate Message Passing; High-dimensional Limit; Multi-index Models
5090	Learning-Augmented Algorithms for $k$-median via Online Learning Authors: Anish Hebbar; Rong Ge; Amit Kumar; Debmalya Panigrahi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning-augmented algorithm; k-median; online learning
5091	Learning-Augmented Facility Location Mechanisms for Envy Ratio Authors: Haris Aziz; Yuhang Guo; Alexander Lam; Houyu Zhou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning Augmentation; Facility Location Game; Fairness; Envy Ratio; Mechanism Design
5092	Learning-Augmented Online Bidding in Stochastic Settings Authors: Spyros Angelopoulos; Bertrand Simon Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning-augmented algorithms; online algorithms; competitive analysis; randomized algorithms; distributional advice
5093	Learning-Augmented Online Bipartite Fractional Matching Authors: Davin Choo; Billy Jin; Yongho Shin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning-augmented algorithms; algorithms with predictions; algorithms with advice; robustness-consistency tradeoff; online bipartite matching; AdWords; online…
5094	Learning-Augmented Streaming Algorithms for Correlation Clustering Authors: Yinhao Dong; Shan Jiang; Shi Li; Pan Peng Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Correlation Clustering; graph streaming algorithms; learning-augmented algorithms
5095	Length Generalization via Auxiliary Tasks Authors: Pranjal Awasthi; Anupam Gupta; Ravi Kumar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: length generalization; theory
5096	Low Precision Streaming PCA Authors: Sanjoy Dasgupta; Syamantak Kumar; Shourya Pandey; Purnamrita Sarkar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Streaming PCA; Low-Precision Quantization; Oja’s Algorithm; Stochastic Quantization; Finite-Sample Convergence; Spectral Gap Assumption; Minimax Lower Bounds
5097	Low Rank Gradients and Where to Find Them Authors: Rishi Sonthalia; Michael Murray; Guido Montufar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: One step gradient; low-rank gradients; two-layer neural networks; spiked covariance; regularization; high dimensional probability
5098	Lyapunov-Stable Adaptive Control for Multimodal Concept Drift Authors: Tianyu Pan; Mengdi Zhu; Alexa Jordyn Cole; Ronald Wilson; Damon L. Woodard Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multimodal learning; concept drift; adaptive control; online gradient descent; modality-specific fusion
5099	Machine Unlearning under Overparameterization Authors: Jacob L. Block; Aryan Mokhtari; Sanjay Shakkottai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Machine Unlearning Theory; Overparameterization
5100	Marginal-Nonuniform PAC Learnability Authors: Steve Hanneke; Shay Moran; Maximilian Thiessen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: statistical learning theory; nonuniform learning; PAC learning; universal learning; VC dimension
5101	Markov Persuasion Processes: Learning to Persuade From Scratch Authors: Francesco Bacchiocchi; Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bayesian Persuasion; MPP
5102	Matchings Under Biased and Correlated Evaluations Authors: Amit Kumar; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stable matching; Evaluation Bias; Correlated rankings; Equilibrium analysis; Representation ratio
5103	Maximizing the Value of Predictions in Control: Accuracy Is Not Enough Authors: Yiheng Lin; Christopher Yeh; Zaiwei Chen; Adam Wierman Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online control; predictions; linear quadratic regulator; model predictive control
5104	Mechanism Design via the Interim Relaxation Authors: Kshipra Bhawalkar; Marios Mertzanidis; Divyarthi Mohan; Alexandros Psomas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: mechanism design; auctions; OCRS; CRS; revenue maximization; Bernoulli factories
5105	Median Selection with Noisy and Structural Information Authors: Chenglin Fan; Mingyu Kang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: median selection; unreliable oracles; persistent comparison model; lazy select algorithm; partially ordered data
5106	Metric Automata Theory: A Unifying Theory of RNNs Authors: Adam Dankowiakowski; Alessandro Ronca Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: RNNs; Recurrent Neural Networks; SSMs; State Space Models; Expressivity; Formal Languages; Automata Theory; Algebraic Automata Theory; Metric Spaces; Topology;…
5107	Minimum Width for Deep, Narrow MLP: A Diffeomorphism Approach Authors: Geonho Hwang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Universal Approimation; continuous functions; deep narrow MLPs; deep learning
5108	Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning Authors: Yuyang Deng; Samory Kpotufe Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transfer learning; domain adaptation
5109	Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability Authors: Eline M. Bovy; Caleb Probine; Marnix Suilen; ufuk topcu; Nils Jansen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: POMDPs; Robustness; Multi-environment
5110	Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent Authors: Tong Yang; Yu Huang; Yingbin Liang; Yuejie Chi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: transformer theory; training dynamics; multi-step reasoning
5111	Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables Authors: Yu Gui; Cong Ma; Zongming Ma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contrastive learning; multi-modal learning; machine learning theory
5112	Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification Authors: Matan Schliserman; Tomer Koren Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Gradient Descent; Separable Data; Generalization bounds
5113	Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms Authors: William Réveillard; Richard Combes Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-armed bandits; Structured bandits; Non-convex optimization
5114	Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games Authors: Tongyang Li; Xinzhao Wang; Yexin Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Quantum algorithms; equilibrium computation; correlated equilibrium; query complexity; online learning in games
5115	Near-Optimal Regret-Queue Length Tradeoff in Online Learning for Two-Sided Markets Authors: Zixian Yang; Sushil Mahavir Varma; Lei Ying Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: online learning; two-sided markets; queueing; pricing; regret; tradeoff
5116	Near-Optimal Sample Complexity for Online Constrained MDPs Authors: Chang Liu; Yunfan Li; Lin Yang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Reinforcement learning; constrained MDPs; online learning; sample complexity; learning theory
5117	Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor Authors: Maryam Aliakbarpour; Zhan Shi; Ria Stevens; Vincent X. Wang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: differential privacy; hypothesis selection; computational constraints; density estimation; distribution learning; private hypothesis selection
5118	Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity Authors: Kevin Aydin; Honghao Lin; David Woodruff; Peilin Zhong Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: K-anonymity; Nearly-linear time; Massively parallel
5119	Network two-sample test for block models Authors: Chung Kyong Nguen; Arash A. Amini; OSCAR HERNAN MADRID PADILLA Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stochastic block model; SBM; two-sample test; spectral graph matching
5120	No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need! Authors: Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti; Christian Kroer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online Learning; Online Allocation; Resource Constraints; Budget Constraints; Spending Plan
5121	No-Regret Online Autobidding Algorithms in First-price Auctions Authors: Yilin LI; Yuan Deng; Wei Tang; Hanrui Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Autobidding; No-regret Autobidding algorithm; Repeated auctions; ROI constraint
5122	Non-Asymptotic Guarantees for Average-Reward Q-Learning with Adaptive Stepsizes Authors: Zaiwei Chen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Average-reward Q-learning; adaptive stepsizes; non-asymptotic analysis; non-Markovian stochastic approximation.
5123	Non-Stationary Lipschitz Bandits Authors: Nicolas Nguyen; Solenne Gaucher; Claire Vernade Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: non-stationary bandits; Lipschitz bandits; tracking most significant shifts
5124	Non-Uniform Multiclass Learning with Bandit Feedback Authors: Steve Hanneke; Amirreza Shaeiri; Hongao Wang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Non-Uniform Learning; Bandit Feedback; Multiclass Learning
5125	Non-monotone Submodular Optimization: $p$-Matchoid Constraints and Fully Dynamic Setting Authors: Kiarash Banihashem; Samira Goudarzi; MohammadTaghi Hajiaghayi; Peyman Jabbarzade; Morteza Monemizadeh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: optimization; submodular; p-matchoid; non-monotone; dynamic
5126	Non-stationary Bandit Convex Optimization: A Comprehensive Study Authors: Xiaoqi Liu; Dorian Baudry; Julian Zimmert; Patrick Rebeschini; Arya Akhavan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bandit Convex Optimization; non-stationary environments; online learning; dynamic regret; adaptive regret; zeroth-order optimization
5127	Normalization in Attention Dynamics Authors: Nikita Karagodin; Shu Ge; Yury Polyanskiy; Philippe Rigollet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformers; Self-Attention; normalization; continuous-time interacting particle systems; clustering; representation collapse
5128	Nyström-Accelerated Primal LS-SVMs: Breaking the $O(an^3)$ Complexity Bottleneck for Scalable ODEs Learning Authors: Weikuo Wang; Yue Liao; Huan Luo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Closed-form approximate solution; Nyström-accelerated learning theory; least squares support vector machines (LS-SVMs); ordinary differential equations (ODEs)
5129	On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness Authors: Arnav Mehra; Alexandros Psomas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: fair division; cake cutting; fairness
5130	On Learning Verifiers and Implications to Chain-of-Thought Reasoning Authors: Maria Florina Balcan; Avrim Blum; Zhiyuan Li; Dravyansh Sharma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning theory; LLM reasoning; Chain-of-Thought
5131	On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model Authors: Alexander Pluska; SAGAR MALHOTRA Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Random Graphs; Sparse Random Graphs; Graph Neural Networks
5132	On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts Authors: Fanqi Yan; Huy Nguyen; Le Quang Dung; Pedram Akbarian; Nhat Ho; Alessandro Rinaldo Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: mixture of experts; contamination; minimax estimation
5133	On Union-Closedness of Language Generation Authors: Steve Hanneke; Amin Karbasi; Anay Mehrotra; Grigoris Velegkas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: language generation; union-closedness; online learning; learning theory
5134	On the Emergence of Linear Analogies in Word Embeddings Authors: Daniel James Korchinski; Dhruva Karkada; Yasaman Bahri; Matthieu Wyart Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: word embedding; analogy structure; random matrix theory
5135	On the Entropy Calibration of Language Models Authors: Steven Cao; Gregory Valiant; Percy Liang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: language models; language generation; calibration; entropy; error accumulation; scaling laws; language model theory; rl theory
5136	On the Existence and Complexity of Core-Stable Data Exchanges Authors: Jiaxin Song; Pooja Ravi Kulkarni; Parnian Shahkar; Bhaskar Ray Chaudhury Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data Economics; Core-Stability; Complexity; Scarf's Lemma
5137	On the Mechanisms of Weak-to-Strong Generalization: A Theoretical Perspective Authors: Behrad Moniri; Hamed Hassani Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: weak-to-strong generalization; deep learning theory; linear regression; feature learning; regularization; ridge penalty; over-parameterization
5138	On the Optimality of the Median-of-Means Estimator under Adversarial Contamination Authors: Xabier de Juan; Santiago Mazuelas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: mean estimation; median of means; adversarial contamination; robust estimation; minimax bounds; minimax optimality; robustness; mom; concentration inequalities
5139	On the Relation between Rectified Flows and Optimal Transport Authors: Johannes Hertrich; Antonin Chambolle; Julie Delon Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: rectified flows; optimal transport; flow matching
5140	On the Robustness of Transformers against Context Hijacking for Linear Classification Authors: Tianle Li; Chenyang Zhang; Xingwu Chen; Yuan Cao; Difan Zou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: in-context learning; transformers; robustness; deep learning theory; learning theory
5141	On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels Authors: Wenjun Ding; Jingling Liu; Lixing Chen; Xiu Su; Tao Sun; Fan Wu; Zhe Qu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stability and Generalization; Meta-Learning
5142	On the VC dimension of deep group convolutional neural networks Authors: Anna Sepliarskaia; Sophie Langer; Johannes Schmidt-Hieber Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: VC-dimension; generalization error; group convolutional neural networks
5143	On topological descriptors for graph products Authors: Mattie Ji; Amauri H Souza; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: topological data analysis; graph neural networks; graph machine learning
5144	Online Bilateral Trade With Minimal Feedback: Don’t Waste Seller’s Time Authors: Francesco Bacchiocchi; Matteo Castiglioni; Roberto Colomboni; Alberto Marchesi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bilateral Trade; Online Learning; Censored Feedback
5145	Online Inverse Linear Optimization: Efficient Logarithmic-Regret Algorithm, Robustness to Suboptimality, and Lower Bound Authors: Shinsaku Sakaue; Taira Tsuchiya; Han Bao; Taihei Oki Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: inverse optimization; online learning
5146	Online Learning in the Repeated Mediated Newsvendor Problem Authors: Nataša Bolić; Tommaso Cesari; Roberto Colomboni; Christian Paravalos Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Theory; theoretical analysis; regret guarantees; bandits; online learning; newsvendor problem
5147	Online Learning of Neural Networks Authors: Amit Daniely; Idan Mehalel; Elchanan Mossel Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online learning; Neural networks; Deep learning
5148	Online Learning of Pure States is as Hard as Mixed States Authors: Maxime Meyer; Soumik Adhikary; Naixu Guo; Patrick Rebentrost Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: quantum state learning; tomography; pure and mixed states; online learning; sequential fat-shattering dimension; smoothed analysis
5149	Optimal Best Arm Identification under Differential Privacy Authors: Marc Jourdan; Achraf Azize Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Bandit Algorithms; Differential Privacy; Best Arm Identification; Fixed-Confidence; Bernoulli Distribution
5150	Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs Authors: Geonho Hwang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Universal Approimation; Sobolev norm; Continuously differentiable functions; deep narrow MLPs; deep learning
5151	Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification Authors: Yuanfan Li; Yunwen Lei; Zheng-Chu Guo; Yiming Ying Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: statistical learning theory; generlization analysis; SGD; neural tangent kernel; optimal rates
5152	Optimal Rates in Continual Linear Regression via Increasing Regularization Authors: Ran Levinstein; Amit Attia; Matan Schliserman; Uri Sherman; Daniel Soudry; Tomer Koren; Itay Evron Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: continual learning; lifelong learning; last iterate; forgetting; task ordering; regularization
5153	Optimal Regret of Bandits under Differential Privacy Authors: Achraf Azize; Yulian Wu; Junya Honda; Francesco Orabona; Shinji Ito; Debabrota Basu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Differential Privacy; Multi-armed Bandits; Regret Analysis; Lower Bound
5154	Optimal Spectral Transitions in High-Dimensional Multi-Index Models Authors: Leonardo Defilippis; Yatin Dandi; Pierre Mergny; Florent Krzakala; Bruno Loureiro Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: spectral methods; multi-index models; approximate message passing; weak recovery; phase transitions; generalized linear model
5155	Optimal community detection in dense bipartite graphs Authors: Julien Chhor; Parker Knight Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: bipartite random graphs; minimax hypothesis testing; signal detection
5156	Optimal kernel regression bounds under energy-bounded noise Authors: Amon Lahr; Johannes Köhler; Anna Scampicchio; Melanie Zeilinger Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: kernel regression; Gaussian process regression; uncertainty bounds
5157	Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions Authors: Yanna Ding; Songtao Lu; Yingdong Lu; Tomasz J Nowicki; Jianxi Gao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: In-Context Learning; Markovian Dynamics; Transformers; Optimization
5158	Optimism Without Regularization: Constant Regret in Zero-Sum Games Authors: John Lazarsfeld; Georgios Piliouras; Ryann Sim; Stratis Skoulakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: optimistic fictitious play; learning in games; zero-sum games
5159	Oracle-Efficient Combinatorial Semi-Bandits Authors: Jung-hun Kim; Milan Vojnovic; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Combinatorial Bandits; Oracle-Efficiency
5160	Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits Authors: Fan Chen; Zeyu Jia; Alexander Rakhlin; Tengyang Xie Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: reinforcement learning theory; online exploration; outcome-based RL; sample efficient RL
5161	PAC-Bayes Bounds for Multivariate Linear Regression and Linear Autoencoders Authors: Ruixin Guo; Ruoming Jin; Xinyu Li; Yang Zhou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: PAC-Bayes bound; multivariate linear regression; linear autoencoder; recommender system
5162	PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors Authors: Hilal Asi; Vitaly Feldman; Hannah Keller; Guy N. Rothblum; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Differential Privacy; Vector Aggregation; Two-server model
5163	Parameter-free Algorithms for the Stochastically Extended Adversarial Model Authors: Shuche Wang; Adarsh Barik; Peng Zhao; Vincent Y. F. Tan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online Convex Optimization; Parameter-free Algorithm
5164	Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards Authors: Kyungjae Lee; Dohyeong Kim; Taehyun Cho; Chaeyeon Kim; Yunkyung Ko; Seungyub Han; Seokhun Ju; Dohyeok Lee; Sungbin Lim Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-Objective Bandits; Bandits with Heavy-Tail Rewards; Robust Distribution Estimation
5165	Parsimonious Predictions for Strategyproof Scheduling Authors: Richard Cole; Anupam Gupta; Pranav Jangir Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: algorithmic game theory; mechanism design; scheduling; learning with predictions
5166	Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers Authors: Charles London; Varun Kanade Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: complexity theory; transformers; learning theory; circuit complexity
5167	Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity Authors: Victor Li; Baiting Chen; Yuzhen Mao; Qi Lei; Zhun Deng Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: risk control; performative prediction; statistical learning theory
5168	Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games Authors: Fivos Kalogiannis; Gabriele Farina Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: policy gradient methods; policy optimization; MARL; extensive-form games; zero-sum extensive-form games; imperfect-information; PL; Polyak- Łojasiewicz; natura…
5169	Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality Authors: Kyeongwon Lee; Lizhen Lin; Jaewoo Park; Seonghyun Jeong Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: posterior contraction; Bayesian neural networks; Besov space; intrinsic dimensionality
5170	Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics Authors: Zhiyang Xun; Shivam Gupta; Eric Price Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion Models; Posterior Sampling; Langevin Dynamics; Compressed Sensing
5171	Prediction with expert advice under additive noise Authors: Alankrita Bhatt; Victoria Kostina Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: information theory; no-regret; communication constraints; mean squared error; exponential weights; noisy communication; feedback control
5172	Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options Authors: Joongkyu Lee; Seouh-won Yi; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Preference-based Reinforcement Learning; Ranking Feedback; Plackett–Luce Model; Reinforcement Learning from Human Feedback; Dueling Bandit
5173	Price of Parsimony: Complexity of Fourier Sparsity Testing Authors: Arijit Ghosh; Manmatha Roy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Fourier Sparsity; Boolean Function; Fourier Analysis; Computational Learning Theory; Property Testing
5174	Principled Long-Tailed Generative Modeling via Diffusion Models Authors: Pranoy Das; Kexin Fu; Abolfazl Hashemi; Vijay Gupta Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generative Conditional Diffusion Models; Deep Mutual Learning; Long-Tailed Learning; Learning in Games
5175	Private Evolution Converges Authors: Tomás González; Giulia Fanti; Aaditya Ramdas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Differential Privacy; Synthetic Data; Private Evolution
5176	Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings Authors: Bo Li; Wei Wang; Peng Ye Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: differential privacy; online learning
5177	Private Statistical Estimation via Truncation Authors: Manolis Zampetakis; Felix Zhou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Theory; Differential Privacy; Truncated Statistics; Computationally Efficient Estimation
5178	Probably Approximately Precision and Recall Learning Authors: Lee Cohen; Yishay Mansour; Shay Moran; Han Shao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: PAC learning; multi-label learning; sample complexity
5179	Procurement Auctions with Predictions: Improved Frugality for Facility Location Authors: Eric Balkanski; Nicholas DeFilippis; Vasilis Gkatzelis; Xizhi Tan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Algorithm with predictions; Uncapacited facility locations; mechanism design
5180	Protocols for Verifying Smooth Strategies in Bandits and Games Authors: Miranda Christ; Daniel Reichman; Jonathan Shafer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-armed bandits; Interactive proofs; Normal-form games
5181	Provable Meta-Learning with Low-Rank Adaptations Authors: Jacob L. Block; Sundararajan Srinivasan; Liam Collins; Aryan Mokhtari; Sanjay Shakkottai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Meta-Learning; Low-Rank Adaptation; Parameter-Efficient Fine-Tuning; Non-convex Optimization
5182	Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning Authors: Ziheng Cheng; Tianyu Xie; Shiyue Zhang; Cheng Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: conditional diffusion model; transfer learning; sample complexity
5183	Provable Watermarking for Data Poisoning Attacks Authors: Yifan Zhu; Lijia Yu; Xiao-Shan Gao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: data poisoning; provable watermarking; generalization theory
5184	Purest Quantum State Identification Authors: Yingqi Yu; Honglin Chen; Jun Wu; Wei Xie; Xiangyang Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: quantum property learning; best arm identification; online learning
5185	Replicable Online Learning Authors: Saba Ahmadi; Siddharth Bhandari; Avrim Blum Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Online Learning; Replicability
5186	Replicable Online pricing Authors: Kiarash Banihashem; Mohammadhossein Bateni; Hossein Esfandiari; Samira Goudarzi; MohammadTaghi Hajiaghayi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Replicable; online; pricing
5187	Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis Authors: Alistair Shilton; Sunil Gupta; Santu Rana; Svetha Venkatesh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: uniform convergence; rademacher complexity; resnet; transformer
5188	Rescaled Influence Functions: Accurate Data Attribution in High Dimension Authors: Ittai Rubinstein; Samuel B. Hopkins Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: data attribution; influence functions; high-dimensional models; overparameterized models; model interpretability; robustness; training data influence; rescaled…
5189	Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions Authors: Jhanvi Garg; Krishna Balasubramanian; Quan Zhou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Simulated tempering; Multimodal sampling; Mixing time; Markov chain decomposition; Restricted spectral gap
5190	Revisiting Agnostic Boosting Authors: Arthur da Cunha; Mikael Møller Høgsgaard; Andrea Paudice; Yuxin Sun Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Weak-to-Strong Learning; Agnostic Learning; Sample Complexity; Margin-based Analysis; Boosting
5191	Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems Authors: Jongyeong Lee; Junya Honda; Shinji Ito; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multi-armed bandits; best-of-both-worlds; FTPL; utility model; extreme value theory
5192	Revisiting Glorot Initialization for Long-Range Linear Recurrences Authors: Noga Bar; Mariia Seleznova; Yotam Alexander; Gitta Kutyniok; Raja Giryes Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Recurrent Networks; Initialization; Signal Propagation
5193	Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds Authors: Yunrui Guan; Krishna Balasubramanian; Shiqian Ma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: High-accuracy sampling; Riemannian manifolds; Proximal Sampler; Heat-kernels
5194	Risk Bounds For Distributional Regression Authors: Carlos Misael Madrid Padilla; OSCAR HERNAN MADRID PADILLA; Sabyasachi Chatterjee Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Nonparametric distribution estimation; isotonic; trend filtering; dense ReLU networks.
5195	Robust Contextual Pricing Authors: Anupam Gupta; Guru Guruganesh; Renato Paes Leme; Jon Schneider Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: pricing; contextual search; corruptions; online learning
5196	Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means Authors: Anna van Elst; Igor Colin; Stephan Clémençon Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Decentralized Learning; Gossip Algorithms; Ranking; Rate Bound Analysis; Robust Estimation
5197	Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness Authors: Kyriakos Lotidis; Panayotis Mertikopoulos; Nicholas Bambos; Jose Blanchet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: game theory; Nash equilibrium; robust equilibrium; regularized learning
5198	Robust Estimation Under Heterogeneous Corruption Rates Authors: Syomantak Chaudhuri; Jerry Li; Thomas Courtade Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: robust statistics; robust estimation; robust regression; minimax estimation
5199	Robust Minimax Boosting with Performance Guarantees Authors: Santiago Mazuelas; Veronica Alvarez Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: boosting; robust methods; label noise; performance guarantees; supervised classification
5200	Robust Regression of General ReLUs with Queries Authors: Ilias Diakonikolas; Daniel Kane; Mingchen Ma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Learning Theory; Active Learning; ReLU Regression; Agnostic Learning
5201	Robustly Learning Monotone Single-Index Models Authors: Puqian Wang; Nikos Zarifis; Ilias Diakonikolas; Jelena Diakonikolas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: agnostic learning; PAC Learning; single-index models
5202	SAD Neural Networks: Divergent Gradient Flows and Asymptotic Optimality via o-minimal Structures Authors: Julian Kranz; Davide Gallon; Steffen Dereich; Arnulf Jentzen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: theory of deep learning; gradient flow; o-minimal structures; GELU function; optimization; loss landscapes; generalized critical values; divergence
5203	STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals Authors: Vaclav Voracek; Francesco Orabona Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: confidence intervals; testing by betting; concentration inequality; empirical bernstein bound
5204	Safely Learning Controlled Stochastic Dynamics Authors: Luc Brogat-Motte; Alessandro Rudi; Riccardo Bonalli Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Kernel Methods; Dynamical Systems; Exploration; Density Estimation; Learning Theory
5205	Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function Authors: Maria Florina Balcan; Anh Tuan Nguyen; Dravyansh Sharma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data-driven algorithm design; generalization guarantee; PAC-learnable bound; provable hyperparameter tuning
5206	Sample-Conditional Coverage in Split-Conformal Prediction Authors: John Duchi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Conformal prediction; predictive inference; coverage
5207	Sample-Efficient Tabular Self-Play for Offline Robust Reinforcement Learning Authors: Na Li; Zewu Zheng; Wei Ni; Hangguan Shan; Wenjie Zhang; Xinyu Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: robust Markov games; self-play; distribution shift; model uncertainty; reinforcement learning
5208	Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion Authors: Adrien Vacher; Omar Chehab; Anna Korba Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Diffusion; Sampling; Multi-modal; Complexity
5209	Scaling Epidemic Inference on Contact Networks: Theory and Algorithms Authors: Guanghui Min; Yinhan He; Chen Chen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Computational Epidemiology; Graph Theory; Algorithm Acceleration
5210	Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing Authors: Adel Javanmard; Rudrajit Das; Alessandro Epasto; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Retraining; Predicted Labels; Label Noise; Approximate Message Passing
5211	Self-Verification Provably Prevents Model Collapse in Recursive Synthetic Training Authors: Shi Fu; Yingjie Wang; Yuzhu Chen; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Model Collapse; Learning Theory; Synthetic Data; Self-Verification; LLMs
5212	Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Authors: Heyang Zhao; Chenlu Ye; Quanquan Gu; Tong Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Contextual bandits; regularization
5213	Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs Authors: Shulun Chen; Runlong Zhou; Zihan Zhang; Maryam Fazel; Simon Shaolei Du Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Reinforcement learning; gap-dependent; variance-dependent; instance-dependent
5214	Sharp Matrix Empirical Bernstein Inequalities Authors: Hongjian Wang; Aaditya Ramdas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: random matrix; empirical bernstein inequality; concentration inequality
5215	Simple and Optimal Sublinear Algorithms for Mean Estimation Authors: Beatrice Bertolotti; Matteo Russo; Chris Schwiegelshohn; Sudarshan Shyam Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Sublinear Algorithms; Mean Estimation
5216	Smooth Quadratic Prediction Markets Authors: Enrique Nueve; Bo Waggoner Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Prediction Markets
5217	Smoothed Agnostic Learning of Halfspaces over the Hypercube Authors: Yiwen Kou; Raghu Meka Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Agnostic learning; Smoothed analysis; Boolean halfspaces; Polynomial approximation; Learning theory
5218	Sound Logical Explanations for Mean Aggregation Graph Neural Networks Authors: Matthew Morris; Ian Horrocks Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: graph neural networks; explainability; formal logic; expressivity
5219	Sparse Optimistic Information Directed Sampling Authors: Ludovic Schwartz; Hamish Flynn; Gergely Neu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: regret minimization; sparse linear models; Information Directed Sampling; Bayesian methods
5220	Split conformal classification with unsupervised calibration Authors: Santiago Mazuelas Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: conformal prediction; performance guarantees; conformal classification; unsupervised split conformal prediction
5221	Stab-SGD: Noise-Adaptivity in Smooth Optimization with Stability Ratios Authors: David A. R. Robin; Killian Bakong; Kevin Scaman Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning theory; noise-adaptive hyperparameters; schedule-free gradient descent; smooth last-iterate optimization
5222	Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$ Authors: Bowei Zhu; Shaojie Li; Mingyang Yi; Yong Liu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: algorithmic stability; generalization bounds; excess risk bounds; stochastic gradiet descent
5223	Stabilizing LTI Systems under Partial Observability: Sample Complexity and Fundamental Limits Authors: Ziyi Zhang; Yorie Nakahira; Guannan Qu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Linear dynamical system; Learning-based control; Learn-to-stabilize; Sample complexity; Unknown system
5224	Stable Matching with Ties: Approximation Ratios and Learning Authors: Shiyun Lin; Simon Mauras; Nadav Merlis; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stable Matching; Bandit Learning; Approximation Ratio; Optimal Stable Regret
5225	Stackelberg Learning with Outcome-based Payment Authors: Tom Yan; Chicheng Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-agent learning; Learning with Incentives; Outcome-based Payments
5226	Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr&quot;{o}dinger Bridge Estimation Authors: Ibuki Maeda; Rentian Yao; Atsushi Nitanda Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Schrödinger bridge; Sinkhorn algorithm; statistical analysis
5227	Statistical Guarantees for High-Dimensional Stochastic Gradient Descent Authors: Jiaqi Li; Zhipeng Lou; Johannes Schmidt-Hieber; Wei Biao Wu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: stochastic gradient descent; high dimension; constant learning rate; geometric-moment contraction; tail probability
5228	Statistical Inference under Performativity Authors: Xiang Li; Yunai Li; Huiying Zhong; Lihua Lei; Zhun Deng Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: statistical inference; performative prediction
5229	Statistical Parity with Exponential Weights Authors: Stephen Pasteris; Chris Hicks; Vasilios Mavroudis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: bandits; statistical parity; fairness; privacy
5230	Statistical inference for Linear Stochastic Approximation with Markovian Noise Authors: Sergey Samsonov; Marina Sheshukova; Eric Moulines; Alexey Naumov Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Markovian LSA; Polyak-Ruppert averaging; Berry-Esseen type bounds; Bootstrap methods; Asymptotic variance estimation
5231	Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies Authors: Jiarui Gan; R Majumdar; Debmalya Mandal; Goran Radanovic Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: stochastic games; Markov games; Stackelberg games; information design; mechanism design
5232	Stochastic Shortest Path with Sparse Adversarial Costs Authors: Emmeran Johnson; Alberto Rumi; Ciara Pike-Burke; Patrick Rebeschini Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: SSP; sparsity; OMD
5233	Stochastically Dominant Peer Prediction Authors: Yichi Zhang; Shengwei Xu; Grant Schoenebeck; David Pennock Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Information elicitation; mechanism design; crowdsourcing
5234	Strategic Cost Selection in Participatory Budgeting Authors: Piotr Faliszewski; Łukasz Janeczko; Andrzej Kaczmarczyk; Grzegorz Lisowski; Piotr Skowron; Stanisław Szufa; Mateusz Szwagierczak Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Participatory Budgeting; Social Choice; Game Theory; Equilibria
5235	Structure-Aware Spectral Sparsification via Uniform Edge Sampling Authors: Kaiwen He; Petros Drineas; Rajiv Khanna Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Spectral Clustering; Graph Sparsification
5236	Subsampled Ensemble Can Improve Generalization Tail Exponentially Authors: Huajie Qian; Donghao Ying; Henry Lam; Wotao Yin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: ensemble method; subsampling; heavy tail; exponential convergence; excess risk; generalization
5237	Taming Adversarial Constraints in CMDPs Authors: Francesco Emanuele Stradi; Anna Lunghi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: CMDP; Online Learning; Constraints
5238	Taxonomy of reduction matrices for Graph Coarsening Authors: Antonin Joly; Nicolas Keriven; Aline Roumy Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: graph coarsening; graph machine learning
5239	The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control Authors: Yichen Wang; Yudong Chen; Lorenzo Rosasco; Fanghui Liu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: generalization; norm-based capacity; deterministic equivalence
5240	The Burden of Interactive Alignment with Inconsistent Preferences Authors: Ali Shirali Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Human AI Interaction; Alignment; Strategic Behavior; Stackelberg Equilibrium
5241	The Complexity of Correlated Equilibria in Generalized Games Authors: Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Gabriele Farina Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: computational complexity; PPAD; correlated equilibrium; generalized games; equilibrium; game theory; nash
5242	The Complexity of Finding Local Optima in Contrastive Learning Authors: Jingming Yan; Yiyuan Luo; Vaggos Chatziafratis; Ioannis Panageas; Parnian Shahkar; Stelios Andrew Stavroulakis Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contrastive learning; computational complexity; local search; PLS; CLS; reductions
5243	The Computational Complexity of Counting Linear Regions in ReLU Neural Networks Authors: Moritz Stargalla; Christoph Hertrich; Daniel Reichman Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: ReLU Neural Networks; Linear Regions; Counting Complexity
5244	The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets Authors: Yujun Kim; Chaewon Moon; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Robust memorization; Memorization; Adversarial training; Parameter Complexity
5245	The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Authors: Kaito Takanami; Takashi Takahashi; Ayaka Sakata Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: knowledge distillation; self distillation; statistical physics; replica method; dynamics; machine learning
5246	The Flood Complex: Large-Scale Persistent Homology on Millions of Points Authors: Florian Graf; Paolo Pellizzoni; Martin Uray; Stefan Huber; Roland Kwitt Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: persistent homology; topological data analysis
5247	The Good, the Bad and the Ugly: Meta-Analysis of Watermarks, Transferable Attacks and Adversarial Defenses Authors: Grzegorz Gluch; Berkant Turan; Sai Ganesh Nagarajan; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Interactive Proof Systems; Cryptography; Backdoors; Game Theory; Learning Theory; Transferable Attacks; Adversarial Robustness
5248	The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics Authors: Marco Sälzer; Przemysław Andrzej Wałęga; Martin Lange Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: temporal graph neural networks; temporal logic; expressiveness
5249	The Nuclear Route: Sharp Asymptotics of ERM in Overparameterized Quadratic Networks Authors: Vittorio Erba; Emanuele Troiani; Lenka Zdeborova; Florent Krzakala Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: neural networks; quadratic activation; global minima; nuclear norm; regularisation
5250	The Parameterized Complexity of Computing the VC-Dimension Authors: Florent Foucaud; Harmender Gahlawat; Fionn Mc Inerney; Prafullkumar Tale Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: VC-dimension; parameterized complexity; hypergraphs; graphs; treewidth
5251	The Persistence of Neural Collapse Despite Low-Rank Bias Authors: Connall Garrod; Jonathan P. Keating Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Neural collapse; low-rank bias; unconstrained feature models; loss landscape analysis; deep learning theory; optimization dynamics
5252	The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements Authors: Youssef Chaabouni; David Gamarnik Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Sparse linear regression; Data sparsification; Sparse support recovery; Sparse data; Compressed sensing; High-dimensional statistics; Information-theoretic lim…
5253	The Structural Complexity of Matrix-Vector Multiplication Authors: Emile Timothy Anand; Jan van den Brand; Rose McCarty Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: data structures; VC-dimension; matrix-vector multiplication; matrix multiplication; dynamic high-accuracy algorithms
5254	Theoretical Guarantees for the Retention of Strict Nash Equilibria by Coevolutionary Algorithms Authors: Alistair Benford; Per Kristian Lehre Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: coevolution; adversarial optimisation; Nash equilibria
5255	Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Authors: Haiyun He; Yepeng Liu; Ziqiao Wang; Yongyi Mao; Yuheng Bu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Watermarking; Large Language Models; Hypothesis Testing; Information Theory
5256	Thompson Sampling for Multi-Objective Linear Contextual Bandit Authors: Somangchan Park; Heesang Ann; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Multi-Objective Multi-armed Bandit; Linear Contextual Bandit; Pareto Optimality; Thompson Sampling
5257	Thresholds for sensitive optimality and Blackwell optimality in stochastic games Authors: Stephane Gaubert; Julien Grand-Clément; Ricardo D. Katz Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Stochastic games; Blackwell optimality; mean-payoff optimality
5258	Tight Asymptotics of Extreme Order Statistics Authors: Jose Correa; Frederik Mallmann-Trenn; Matias Romero Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Order statistics; Asymptotic analysis
5259	Tight Bounds for Answering Adaptively Chosen Concentrated Queries Authors: Emma Rapoport; Edith Cohen; Uri Stemmer Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Adaptive data analysis; Differential privacy; Concentrated Queries; Correlations
5260	Tight Bounds for Maximum Weight Matroid Independent Set and Matching in the Zero Communication Model Authors: Ilan Doron-Arad Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: matroids; matching; distributed algorithms; parallel algorithms; lower bounds
5261	Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting Authors: Mohammad Abam; Davoud Kareshki; Marzie Nilipour; MohammadHossein Paydar; Masoud Seddighin Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Distributed voting; Distortion; Metric; Randomization
5262	Tightening Regret Lower and Upper Bounds in Restless Rising Bandits Authors: Cristiano Migali; Marco Mussi; Gianmarco Genalti; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Restless Bandits; Rising Bandits; Regret; Lower Bounds
5263	Towards Understanding Transformers in Learning Random Walks Authors: Wei Shi; Yuan Cao Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: transformer; self-attention; random walk
5264	Towards the Resistance of Neural Network Fingerprinting to Fine-tuning Authors: Ling Tang; YueFeng Chen; Hui Xue; Quanshi Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Neural Network Fingerprinting; Fourier analysis
5265	Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities Authors: Taehyun Hwang; Dahngoon Kim; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: multinomial logit choice model; contextual bandit; non-linear function approximation; regret analysis
5266	Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression Authors: Jiarui Jiang; Wei Huang; Miao Zhang; Taiji Suzuki; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: state space model; Mamba; in-context learning; training dynamics
5267	Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization Authors: Yu Huang; Zixin Wen; Aarti Singh; Yuejie Chi; Yuxin Chen Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: transformers; chain of thought; length generalization; deep learning theory; non-convex optimization
5268	Transformers are almost optimal metalearners for linear classification Authors: Roey Magen; Gal Vardi Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: metalearning; in-context learning; linear classification; transformers
5269	True Impact of Cascade Length in Contextual Cascading Bandits Authors: Hyunjun Choi; Joongkyu Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contextual bandit; cascading bandit; upper confidence bound; online leaning
5270	Truthful Aggregation of LLMs with an Application to Online Advertising Authors: Ermis Soumalias; Michael Curry; Sven Seuken Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Market Design; LLMs; Large Language Models; Auctions; Economics and Computation; LLM Aggregation; Online Advertising Auctions; Preference Aggregation
5271	Unbalanced Optimal Total Variation Transport: A Theoretical Approach to Spatial Resource Allocation Problems Authors: Nhan-Phu Chung; Jinhui Han; Bohan Li; Zehao Li Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Unbalanced optimal transport; Total variation; Spatial resource allocation; Theory
5272	Understanding Generalization in Physics Informed Models through Affine Variety Dimensions Authors: Takeshi Koshizuka; Issei Sato Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Physics-Informed Models; Learning Theory; Generalization bound; Affine Variety
5273	Understanding Softmax Attention Layers:\ Exact Mean-Field Analysis on a Toy Problem Authors: Elvis Dohmatob Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: softmax self-attention; theory of transformers; statistical physics; optimization dynamics
5274	Understanding the Gain from Data Filtering in Multimodal Contrastive Learning Authors: Divyansh Pareek; Sewoong Oh; Simon Shaolei Du Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Data filtering; Multimodal contrastive learning; Theory of contrastive learning; CLIP; Teacher-student filtering
5275	Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks Authors: Xuan Tang; Han Zhang; Yuan Cao; Difan Zou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Generalization Error; Implicit Bias; Stochastic Gradient; Adam
5276	Unlabeled Data Can Provably Enhance In-Context Learning of Transformers Authors: Renpu Liu; Jing Yang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Large Language Models; In‑Context Learning; Chain‑of‑Thought Reasoning
5277	Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits Authors: Xuheng Li; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Thompson sampling; variance aware; contextual bandits
5278	Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding Authors: Qian Ma; Ruoxiang Xu; Yongqiang Cai Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformer; Universal Approximation; In-context Learning; Vocabulary
5279	Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning Authors: Xiaoyu Yang; Jie Lu; En Yu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Concept Drift; Reinforced Fine-tuning; MLLMs
5280	What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization Authors: Omar Bennouna; Amine Bennouna; Saurabh Amin; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: data informativeness; linear optimization; Blackwell's informativeness theory; data value; data-driven decision-making
5281	When Do Transformers Outperform Feedforward and Recurrent Networks? A Statistical Perspective Authors: Alireza Mousavi-Hosseini; Clayton Sanford; Denny Wu; Murat A Erdogdu Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Transformer; RNN; Generalization Bounds; Sample Complexity
5282	When Does Curriculum Learning Help? A Theoretical Perspective Authors: Raman Arora; Yunjuan Wang; Kaibo Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: curriculum learning; learning theory; generalization; biased regularization; convex learning problems
5283	When Models Don’t Collapse: On the Consistency of Iterative MLE Authors: Daniel Barzilai; Ohad Shamir Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Model Collapse; Generative Models; Maximum Likelihood; Generalization
5284	Why Playing Against Diverse and Challenging Opponents Speeds Up Coevolution: A Theoretical Analysis on Combinatorial Games Authors: Alistair Benford; Per Kristian Lehre Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: coevolution; runtime analysis; combinatorial games
5285	Why Popular MOEAs Are Popular: Proven Advantages in Approximating the Pareto Front Authors: Mingfeng Li; Qiang Zhang; Weijie Zheng; Benjamin Doerr Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Evolutionary Computation; Runtime Modeling
5286	(\varepsilon)-Optimally Solving Two-Player Zero-Sum POSGs Authors: Erwan escudie; Matthia Sabatelli; Olivier Buffet; Jilles Steeve Dibangoye Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Zero-Sum Partially Observable Stochastic Games; Transition-Independent Stochastic Games; Planning; Linear Programming