2025 ICML 中稿论文分布与清单 | blog

2025 ICML 中稿论文分布与清单

• 状态：available
• 官方入口：https://openreview.net/group?id=ICML.cc/2025/Conference
• 备注：OpenReview accepted submissions available.
• 纳入论文数：3257

Best / Outstanding Papers

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Highlight / Spotlight / Oral Papers

Type	Title	Authors
Oral	A Generalization Result for Convergence in Learning-to-Optimize	Michael Sucker; Peter Ochs
Oral	A Generalization Theory for Zero-Shot Prediction	Ronak Mehta; Zaid Harchaoui
Oral	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization	Nuojin Cheng; Leonard Papenmeier; Stephen Becker; Luigi Nardi
Oral	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence	Guanghui Wang; Zhiyong Yang; Zitai Wang; Shi Wang; Qianqian Xu; Qingming Huang
Oral	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies	Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Gaurav Jain; Oren Pereg; Moshe Wasserblat; David Harel
Oral	AdaSplash: Adaptive Sparse Flash Attention	Nuno Gonçalves; Marcos V Treviso; Andre Martins
Oral	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration	Antoine Wehenkel; Juan L. Gamella; Ozan Sener; Jens Behrmann; Guillermo Sapiro; Joern-Henrik Jacobsen; marco cuturi
Oral	AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models	Zheng Lian; Haoyu Chen; Lan Chen; Haiyang Sun; Licai Sun; Yong Ren; Zebang Cheng; Bin Liu; Rui Liu; Xiaojiang Peng; Jiangyan Yi; Jianhua Tao
Oral	Algorithm Development in Neural Networks: Insights from the Streaming Parity Task	Loek van Rossem; Andrew M Saxe
Oral	All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance	Jasper C.H. Lee; Walter McKelvie; Maoyuan Song; Paul Valiant
Oral	An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer	Lifu Liu; Shiyuan He; Jianhua Guo
Oral	An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions	Yuhan Ye; Ying Cui; Jingyi Wang
Oral	An analytic theory of creativity in convolutional diffusion models	Mason Kamb; Surya Ganguli
Oral	Auditing $f$-differential privacy in one run	Saeed Mahloujifar; Luca Melis; Kamalika Chaudhuri
Oral	AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses	Nicholas Carlini; Edoardo Debenedetti; Javier Rando; Milad Nasr; Florian Tramèr
Oral	AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization	Haibo Chen; Xin Wang; Zeyang Zhang; Haoyang Li; Ling Feng; Wenwu Zhu
Oral	Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation	Tiansheng Wen; Yifei Wang; Zequn Zeng; Zhong Peng; Yudi Su; Xinyang Liu; Bo Chen; Hongwei Liu; Stefanie Jegelka; Chenyu You
Oral	Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs	Jie Hu; Yi-Ting Ma; Do Young Eun
Oral	Blink of an eye: a simple theory for feature localization in generative models	Marvin Li; Aayush Karan; Sitan Chen
Oral	Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark	Yunzhuo Hao; Jiawei Gu; Huichen Will Wang; Linjie Li; Zhengyuan Yang; Lijuan Wang; Yu Cheng
Oral	CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction	Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu; Junxian He
Oral	CollabLLM: From Passive Responders to Active Collaborators	Shirley Wu; Michel Galley; Baolin Peng; Hao Cheng; Gavin Li; Yao Dou; Weixin Cai; James Zou; Jure Leskovec; Jianfeng Gao
Oral	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features	Alec Helbling; Tuna Han Salih Meral; Benjamin Hoover; Pinar Yanardag; Duen Horng Chau
Oral	Conformal Prediction as Bayesian Quadrature	Jake C. Snell; Thomas L. Griffiths
Oral	Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration	Shiqing Gao; Jiaxin Ding; Luoyi Fu; Xinbing Wang
Oral	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination	Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon Shaolei Du; Max Kleiman-Weiner; Natasha Jaques
Oral	DeFoG: Discrete Flow Matching for Graph Generation	Yiming QIN; Manuel Madeira; Dorina Thanou; Pascal Frossard
Oral	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs	Jongwoo Ko; Tianyi Chen; Sungnyun Kim; Tianyu Ding; Luming Liang; Ilya Zharkov; Se-Young Yun
Oral	EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents	Rui Yang; Hanyang Chen; Junyu Zhang; Mark Zhao; Cheng Qian; Kangrui Wang; Qineng Wang; Teja Venkat Koripella; Marziyeh Movahedi; Manling Li; Heng Ji; Huan Zhan…
Oral	Emergence in non-neural models: grokking modular arithmetic via average gradient outer product	Neil Rohit Mallinar; Daniel Beaglehole; Libin Zhu; Adityanarayanan Radhakrishnan; Parthe Pandit; Mikhail Belkin
Oral	Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs	Jan Betley; Daniel Chee Hian Tan; Niels Warncke; Anna Sztyber-Betley; Xuchan Bao; Martín Soto; Nathan Labenz; Owain Evans
Oral	Equivalence is All: A Unified View for Self-supervised Graph Learning	Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Ling Li; Jiapu Wang; Fangting Li; Miaomiao Huang; Shirui Pan; Xingwei Wang
Oral	Expected Variational Inequalities	Brian Hu Zhang; Ioannis Anagnostides; Emanuel Tewolde; Ratip Emin Berker; Gabriele Farina; Vincent Conitzer; Tuomas Sandholm
Oral	Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards	Yangsibo Huang; Milad Nasr; Anastasios Nikolas Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielsk…
Oral	Flowing Datasets with Wasserstein over Wasserstein Gradient Flows	Clément Bonet; Christophe Vauthier; Anna Korba
Oral	Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection	Zhijing Wan; Zhixiang Wang; Zheng Wang; Xin Xu; Shin'ichi Satoh
Oral	From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control	Chi Zhang; REN Lianhai; Jingpu Cheng; Qianxiao Li
Oral	Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time	Gramoz Goranci; Peter Kiss; Neel Patel; Martin P. Seybold; Eva Szilagyi; Da Wei Zheng
Oral	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton	Chengmei Niu; Zhenyu Liao; Zenan Ling; Michael W. Mahoney
Oral	General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization	Kwangjun Ahn; Gagik Magakyan; Ashok Cutkosky
Oral	Generative Social Choice: The Next Generation	Niclas Boehmer; Sara Fish; Ariel D. Procaccia
Oral	Going Deeper into Locally Differentially Private Graph Neural Networks	Longzhu He; Chaozhuo Li; Peng Tang; Sen Su
Oral	Hierarchical Refinement: Optimal Transport to Infinity and Beyond	Peter Halmos; Julian Gold; Xinhao Liu; Benjamin Raphael
Oral	High-Dimensional Prediction for Sequential Decision Making	Georgy Noarov; Ramya Ramalingam; Aaron Roth; Stephan Xie
Oral	How Do Large Language Monkeys Get Their Power (Laws)?	Rylan Schaeffer; Joshua Kazdan; John Hughes; Jordan Juravsky; Sara Price; Aengus Lynch; Erik Jones; Robert Kirk; Azalia Mirhoseini; Sanmi Koyejo
Oral	ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks	Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zh…
Oral	Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent	Santhosh Karnik; Anna Veselovska; Mark Iwen; Felix Krahmer
Oral	Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance	Shogo Iwazaki; Shion Takeno
Oral	Improving the Scaling Laws of Synthetic Data with Deliberate Practice	Reyhane Askari-Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano
Oral	In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval	Matthew Smart; Alberto Bietti; Anirvan M. Sengupta
Oral	Inductive Moment Matching	Linqi Zhou; Stefano Ermon; Jiaming Song
Oral	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models	Parshin Shojaee; Ngoc-Hieu Nguyen; Kazem Meidani; Amir Barati Farimani; Khoa D Doan; Chandan K. Reddy
Oral	Layer by Layer: Uncovering Hidden Representations in Language Models	Oscar Skean; Md Rifat Arefin; Dan Zhao; Niket Nikul Patel; Jalal Naghiyev; Yann LeCun; Ravid Shwartz-Ziv
Oral	Learning Dynamics in Continual Pre-Training for Large Language Models	Xingjin Wang; Howe Tissue; Lu Wang; Linjing Li; Daniel Dajun Zeng
Oral	Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction	Xiang Fu; Brandon M Wood; Luis Barroso-Luque; Daniel S. Levine; Meng Gao; Misko Dzamba; C. Lawrence Zitnick
Oral	Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes	Weihan Li; Yule Wang; Chengrui Li; Anqi Wu
Oral	Learning dynamics in linear recurrent neural networks	Alexandra Maria Proca; Clémentine Carla Juliette Dominé; Murray Shanahan; Pedro A. M. Mediano
Oral	Learning with Expected Signatures: Theory and Applications	Lorenzo Lucchese; Mikko S. Pakkanen; Almut E. D. Veraart
Oral	LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail)	Junsu Kim; Jaeyeon Kim; Ernest K. Ryu
Oral	LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently	Yuanhe Zhang; Fanghui Liu; Yudong Chen
Oral	Long-Form Speech Generation with Spoken Language Models	Se Jin Park; Julian Salazar; Aren Jansen; Keisuke Kinoshita; Yong Man Ro; RJ Skerry-Ryan
Oral	MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models	Jeffrey A Chan Santiago; praveen tirupattur; Gaurav Kumar Nayak; Gaowen Liu; Mubarak Shah
Oral	Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics	Herman Chau; Helen Jenne; Davis Brown; Jesse He; Mark Raugas; Sara C. Billey; Henry Kvinge
Oral	Mixture of Lookup Experts	Shibo Jie; Yehui Tang; Kai Han; Yitong Li; Duyu Tang; Zhi-Hong Deng; Yunhe Wang
Oral	Model Immunization from a Condition Number Perspective	Amber Yijia Zheng; Site Bai; Brian Bullins; Raymond A. Yeh
Oral	Multi-agent Architecture Search via Agentic Supernet	Guibin Zhang; Luyang Niu; Junfeng Fang; Kun Wang; LEI BAI; Xiang Wang
Oral	Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning	Fangwen Wu; Lechao Cheng; Shengeng Tang; Xiaofeng Zhu; Chaowei Fang; Dingwen Zhang; Meng Wang
Oral	Near-Optimal Decision Trees in a SPLIT Second	Varun Babbar; Hayden McTavish; Cynthia Rudin; Margo Seltzer
Oral	Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning	Guozheng Ma; Lu Li; Zilin Wang; Li Shen; Pierre-Luc Bacon; Dacheng Tao
Oral	Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?	Konrad Mundinger; Max Zimmer; Aldo Kiem; Christoph Spiegel; Sebastian Pokutta
Oral	Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness	Konstantinos Oikonomidis; Jan Quan; Emanuel Laude; Panagiotis Patrinos
Oral	Normalizing Flows are Capable Generative Models	Shuangfei Zhai; Ruixiang ZHANG; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista; Navdeep Jaitly; Joshua M. S…
Oral	On Differential Privacy for Adaptively Solving Search Problems via Sketching	Shiyuan Feng; Ying Feng; George Zhaoqi Li; Zhao Song; David Woodruff; Lichen Zhang
Oral	On Path to Multimodal Generalist: General-Level and General-Bench	Hao Fei; Yuan Zhou; Juncheng Li; Xiangtai Li; Qingshan Xu; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; Liangtao S…
Oral	One-Step Generalization Ratio Guided Optimization for Domain Generalization	Sumin Cho; Dongwon Kim; Kwangsu Kim
Oral	Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection	Zhiyuan Yan; Jiangming Wang; Peng Jin; Ke-Yue Zhang; Chengchun Liu; Shen Chen; Taiping Yao; Shouhong Ding; Baoyuan Wu; Li Yuan
Oral	Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models	Anshuman Chhabra; Bo Li; Jian Chen; Prasant Mohapatra; Hongfu Liu
Oral	Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data	Erez Peterfreund; Ofir Lindenbaum; Yuval Kluger; Boris Landa
Oral	Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules	Tian-Zuo Wang; Wen-Bo Du; Zhi-Hua Zhou
Oral	Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All	Ermis Soumalias; Jakob Heiss; Jakob Weissteiner; Sven Seuken
Oral	ReferSplat: Referring Segmentation in 3D Gaussian Splatting	Shuting He; Guangquan Jie; Changshuo Wang; Yun Zhou; Shuming Hu; Guanbin Li; Henghui Ding
Oral	Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG	Wenbin Wang; Yongcheng Jing; Liang Ding; Yingjie Wang; Li Shen; Yong Luo; Bo Du; Dacheng Tao
Oral	Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction	Vaishnavh Nagarajan; Chen Henry Wu; Charles Ding; Aditi Raghunathan
Oral	Rényi Neural Processes	Xuesong Wang; He Zhao; Edwin V. Bonilla
Oral	SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs	Xin Su; Man Luo; Kris W Pan; Tien Pei Chou; Vasudev Lal; Phillip Howard
Oral	STAIR: Improving Safety Alignment with Introspective Reasoning	Yichi Zhang; Siyuan Zhang; Yao Huang; Zeyu Xia; Zhengwei Fang; Xiao Yang; Ranjie Duan; Dong Yan; Yinpeng Dong; Jun Zhu
Oral	SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?	Samuel Miserendino; Michele Wang; Tejal Patwardhan; Johannes Heidecke
Oral	Sanity Checking Causal Representation Learning on a Simple Real-World System	Juan L. Gamella; Simon Bing; Jakob Runge
Oral	Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks	Shikai Qiu; Lechao Xiao; Andrew Gordon Wilson; Jeffrey Pennington; Atish Agarwala
Oral	Score Matching with Missing Data	Josh Givens; Song Liu; Henry Reeve
Oral	Statistical Collusion by Collectives on Learning Platforms	Etienne Gauthier; Francis Bach; Michael I. Jordan
Oral	Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise	Ilias Diakonikolas; Mingchen Ma; Lisheng Ren; Christos Tzamos
Oral	Statistical Test for Feature Selection Pipelines by Selective Inference	Tomohiro Shiraishi; Tatsuya Matsukawa; Shuichi Nishino; Ichiro Takeuchi
Oral	Strategy Coopetition Explains the Emergence and Transience of In-Context Learning	Aaditya K Singh; Ted Moskovitz; Sara Dragutinović; Felix Hill; Stephanie C.Y. Chan; Andrew M Saxe
Oral	Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings	Angéline Pouget; Mohammad Yaghini; Stephan Rabanser; Nicolas Papernot
Oral	Sundial: A Family of Highly Capable Time Series Foundation Models	Yong Liu; Guo Qin; Zhiyuan Shi; Zhi Chen; Caiyin Yang; Xiangdong Huang; Jianmin Wang; Mingsheng Long
Oral	Temporal Difference Flows	Jesse Farebrother; Matteo Pirotta; Andrea Tirinzoni; Remi Munos; Alessandro Lazaric; Ahmed Touati
Oral	The Value of Prediction in Identifying the Worst-Off	Unai Fischer-Abaigar; Christoph Kern; Juan Carlos Perdomo
Oral	The dark side of the forces: assessing non-conservative force models for atomistic machine learning	Filippo Bigi; Marcel F. Langer; Michele Ceriotti
Oral	Theoretical Limitations of Ensembles in the Age of Overparameterization	Niclas Dern; John Patrick Cunningham; Geoff Pleiss
Oral	Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions	Jaeyeon Kim; Kulin Shah; Vasilis Kontonis; Sham M. Kakade; Sitan Chen
Oral	Training a Generally Curious Agent	Fahim Tajwar; Yiding Jiang; Abitha Thankaraj; Sumaita Sadia Rahman; J Zico Kolter; Jeff Schneider; Russ Salakhutdinov
Oral	Transformative or Conservative? Conservation laws for ResNets and Transformers	Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré
Oral	VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data	Thomas Zeng; Shuibai Zhang; Shutong Wu; Christian Classen; Daewon Chae; Ethan Ewer; Minjae Lee; Heeju Kim; Wonjun Kang; Jackson Kunde; Ying Fan; Jungtaek Kim;…
Oral	VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models	Hila Chefer; Uriel Singer; Amit Zohar; Yuval Kirstain; Adam Polyak; Yaniv Taigman; Lior Wolf; Shelly Sheynin
Oral	VideoRoPE: What Makes for Good Video Rotary Position Embedding?	Xilin Wei; Xiaoran Liu; Yuhang Zang; Xiaoyi Dong; Pan Zhang; Yuhang Cao; Jian Tong; Haodong Duan; Qipeng Guo; Jiaqi Wang; Xipeng Qiu; Dahua Lin
Oral	What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities	Wendong Bu; Yang Wu; Qifan Yu; Minghe Gao; Bingchen Miao; Zhenkui Zhang; Kaihang Pan; liyunfei; Mengze Li; Wei Ji; Juncheng Li; Siliang Tang; Yueting Zhuang
Oral	rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking	Xinyu Guan; Li Lyna Zhang; Yifei Liu; Ning Shang; Youran Sun; Yi Zhu; Fan Yang; Mao Yang
Spotlight	$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting	Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang; Chenjuan Guo
Spotlight	A Closer Look at Multimodal Representation Collapse	Abhra Chaudhuri; Anjan Dutta; Tu Bui; Serban Georgescu
Spotlight	A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO	Xingyu Zhou; Yulian Wu; Francesco Orabona
Spotlight	Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks	Liyuan Liang; Xinyi Chen; Gan Luo; Kun Yuan
Spotlight	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation	Yupeng Hou; Jianmo Ni; Zhankui He; Noveen Sachdeva; Wang-Cheng Kang; Ed H. Chi; Julian McAuley; Derek Zhiyuan Cheng
Spotlight	Ad-Hoc Human-AI Coordination Challenge	Tin Dizdarević; Ravi Hammond; Tobias Gessler; Anisoara Calinescu; Jonathan Cook; Matteo Gallici; Andrei Lupu; Jakob Nicolaus Foerster
Spotlight	Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation	Jintao Tong; Ran Ma; Yixiong Zou; Guangyao Chen; Yuhua Li; Ruixuan Li
Spotlight	Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection	Matteo Zecchin; Sangwoo Park; Osvaldo Simeone
Spotlight	Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection	Xiang Fang; Arvind Easwaran; Blaise Genest
Spotlight	Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough?	Guiomar Pescador-Barrios; Sarah Lucie Filippi; Mark van der Wilk
Spotlight	Algorithms with Calibrated Machine Learning Predictions	Judy Hanwen Shen; Ellen Vitercik; Anders Wikum
Spotlight	Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models	Yinhong Liu; Zhijiang Guo; Tianya Liang; Ehsan Shareghi; Ivan Vulić; Nigel Collier
Spotlight	An Analysis for Reasoning Bias of Language Models with Small Initialization	Junjie Yao; Zhongwang Zhang; Zhi-Qin John Xu
Spotlight	An Error Analysis of Flow Matching for Deep Generative Modeling	Zhengyu Zhou; Weiwei Liu
Spotlight	Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios	Xihong Yang; Siwei Wang; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu; En Zhu; Xinwang Liu; Yueming Jin
Spotlight	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders	Zhengxuan Wu; Aryaman Arora; Atticus Geiger; Zheng Wang; Jing Huang; Dan Jurafsky; Christopher D Manning; Christopher Potts
Spotlight	BaxBench: Can LLMs Generate Correct and Secure Backends?	Mark Vero; Niels Mündler; Victor Chibotaru; Veselin Raychev; Maximilian Baader; Nikola Jovanović; Jingxuan He; Martin Vechev
Spotlight	Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety	Zihan Guan; Mengxuan Hu; Ronghang Zhu; Sheng Li; Anil Vullikanti
Spotlight	Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance	Fan Li; Xuan Wang; Min Qi; Zhaoxiang Zhang; Yuelei Xu
Spotlight	Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion	Binchi Zhang; Zaiyi Zheng; Zhengzhang Chen; Jundong Li
Spotlight	Bridging Layout and RTL: Knowledge Distillation based Timing Prediction	Mingjun Wang; Yihan Wen; Bin Sun; Jianan Mu; Juan Li; Xiaoyi Wang; Jing Justin Ye; Bei Yu; Huawei Li
Spotlight	CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation	Aditya Gorla; Ryan Wang; Zhengtong Liu; Ulzee An; Sriram Sankararaman
Spotlight	CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities	Yuxuan Zhu; Antony Kellermann; Dylan Bowman; Philip Li; Akul Gupta; Adarsh Danda; Richard Fang; Conner Jensen; Eric Ihli; Jason Benn; Jet Geronimo; Avi Dhir; S…
Spotlight	Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models	Yiyang Fang; Jian Liang; Wenke Huang; He Li; Kehua Su; Mang Ye
Spotlight	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards	Chenlu Ye; Yujia Jin; Alekh Agarwal; Tong Zhang
Spotlight	Causal Attribution Analysis for Continuous Outcomes	Shanshan Luo; Yu yixuan; Chunchen LIU; Feng Xie; Zhi Geng
Spotlight	CoPINN: Cognitive Physics-Informed Neural Networks	Siyuan Duan; Wenyuan Wu; Peng Hu; Zhenwen Ren; Dezhong Peng; Yuan Sun
Spotlight	Continual Reinforcement Learning by Planning with Online World Models	Zichen Liu; Guoji Fu; Chao Du; Wee Sun Lee; Min Lin
Spotlight	Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization	Zhangyi Liu; Feng Liu; Rui Gao; Shuang Li
Spotlight	Counterfactual Graphical Models: Constraints and Inference	Juan D. Correa; Elias Bareinboim
Spotlight	Covered Forest: Fine-grained generalization analysis of graph neural networks	Antonis Vasileiou; Ben Finkelshtein; Floris Geerts; Ron Levie; Christopher Morris
Spotlight	DPO Meets PPO: Reinforced Token Optimization for RLHF	Han Zhong; Zikang Shan; Guhao Feng; Wei Xiong; Xinle Cheng; Li Zhao; Di He; Jiang Bian; Liwei Wang
Spotlight	Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development	Daoyuan Chen; Haibin Wang; Yilun Huang; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou
Spotlight	Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets	Charita Dellaporta; Patrick O'Hara; Theodoros Damoulas
Spotlight	Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents	Shayan Kiyani; George J. Pappas; Aaron Roth; Hamed Hassani
Spotlight	Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective	Weizhong Huang; Yuxin Zhang; Xiawu Zheng; Fei Chao; Rongrong Ji
Spotlight	Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain	Gaozheng Pei; Ke Ma; Yingfei Sun; Qianqian Xu; Qingming Huang
Spotlight	Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator	Kaiwen Zheng; Yongxin Chen; Huayu Chen; Guande He; Ming-Yu Liu; Jun Zhu; Qinsheng Zhang
Spotlight	Discovering Symbolic Cognitive Models from Human and Animal Behavior	Pablo Samuel Castro; Nenad Tomasev; Ankit Anand; Navodita Sharma; Rishika Mohanta; Aparna Dev; Kuba Perlin; Siddhant Jain; Kyle Levin; Noemi Elteto; Will Dabne…
Spotlight	Discovering a Zero (Zero-Vector Class of Machine Learning)	Harikrishna Metta; Venkatesh Babu Radhakrishnan
Spotlight	Discrepancy Minimization in Input-Sparsity Time	Yichuan Deng; Xiaoyu Li; Zhao Song; OMRI WEINSTEIN
Spotlight	Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective	Yujin Oh; Pengfei Jin; Sangjoon Park; Sekeun Kim; Siyeop yoon; Jin Sung Kim; Kyungsang Kim; Xiang Li; Quanzheng Li
Spotlight	Do Multiple Instance Learning Models Transfer?	Daniel Shao; Richard J. Chen; Andrew H. Song; Joel Runevic; Ming Y. Lu; Tong Ding; Faisal Mahmood
Spotlight	Do We Really Need Message Passing in Brain Network Modeling?	Liang Yang; Yuwei Liu; Jiaming Zhuo; Di Jin; Chuan Wang; Zhen Wang; Xiaochun Cao
Spotlight	Doubly Robust Conformalized Survival Analysis with Right-Censored Data	Matteo Sesia; Vladimir Svetnik
Spotlight	Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance	Lisha Chen; Quan Xiao; Ellen Hidemi Fukuda; Xinyi Chen; Kun Yuan; Tianyi Chen
Spotlight	Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization	Xiuyuan Wang; Chaochao Chen; Weiming Liu; Xinting Liao; Fan Wang; Xiaolin Zheng
Spotlight	Efficient and Separate Authentication Image Steganography Network	Junchao Zhou; Yao Lu; Jie Wen; Guangming Lu
Spotlight	Efficiently Vectorized MCMC on Modern Accelerators	Hugh Dance; Pierre Glaser; Peter Orbanz; Ryan P Adams
Spotlight	Elucidating the Design Space of Multimodal Protein Language Models	Cheng-Yen Hsieh; Xinyou Wang; Daiheng Zhang; Dongyu Xue; Fei Ye; Shujian Huang; Zaixiang Zheng; Quanquan Gu
Spotlight	Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective	Seungwook Han; Jinyeop Song; Jeff Gore; Pulkit Agrawal
Spotlight	Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation	Alessandro Palma; Sergei Rybakov; Leon Hetzel; Stephan Günnemann; Fabian J Theis
Spotlight	Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss	Bo-Han Lai; Pin-Han Huang; Bo-Han Kung; Shang-Tse Chen
Spotlight	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition	Zheyang Xiong; Ziyang Cai; John Cooper; Albert Ge; Vasilis Papageorgiou; Zack Sifakis; Angeliki Giannou; Ziqian Lin; Liu Yang; Saurabh Agarwal; Grigorios Chrys…
Spotlight	Exogenous Isomorphism for Counterfactual Identifiability	Yikang Chen; Dehui du
Spotlight	Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry	Chi-Ning Chou; Hang Le; Yichen Wang; SueYeon Chung
Spotlight	Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions	Fabiola Ricci; Lorenzo Bardone; Sebastian Goldt
Spotlight	FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence	Yichen Li; Yuying Wang; Haozhao Wang; Yining Qi; Tianzhe Xiao; Ruixuan Li
Spotlight	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework	Terje Mildner; Oliver Hamelijnck; Paris Giampouras; Theodoros Damoulas
Spotlight	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts	Marta Skreta; Tara Akhound-Sadegh; Viktor Ohanesian; Roberto Bondesan; Alan Aspuru-Guzik; Arnaud Doucet; Rob Brekelmans; Alexander Tong; Kirill Neklyudov
Spotlight	Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator	Yu Xin Li; Felix Dangel; Derek Tam; Colin Raffel
Spotlight	FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials	Seung Yul Lee; Hojoon Kim; Yutack Park; Dawoon Jeong; Seungwu Han; Yeonhong Park; Jae W. Lee
Spotlight	Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency	Georg Bökman; David Nordström; Fredrik Kahl
Spotlight	FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields	Gwanhyeong Koo; Sunjae Yoon; Younghwan Lee; Ji Woo Hong; Chang D. Yoo
Spotlight	From Language Models over Tokens to Language Models over Characters	Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell
Spotlight	From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models	Etowah Adams; Liam Bai; Minji Lee; Yiyang Yu; Mohammed AlQuraishi
Spotlight	Functional Alignment Can Mislead: Examining Model Stitching	Damian Smith; Harvey Mannering; Antonia Marcu
Spotlight	G-Adaptivity: optimised graph-based mesh relocation for finite element methods	James Rowbottom; Georg Maierhofer; Teo Deveney; Eike Hermann Müller; Alberto Paganini; Katharina Schratz; Pietro Lio; Carola-Bibiane Schönlieb; Chris Budd
Spotlight	G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks	Guibin Zhang; Yanwei Yue; Xiangguo Sun; Guancheng Wan; Miao Yu; Junfeng Fang; Kun Wang; Tianlong Chen; Dawei Cheng
Spotlight	GMAIL: Generative Modality Alignment for generated Image Learning	Shentong Mo; Sukmin Yun
Spotlight	Generalized Random Forests Using Fixed-Point Trees	David Fleischer; David A. Stephens; Archer Y. Yang
Spotlight	Geometric Hyena Networks for Large-scale Equivariant Learning	Artem Moskalev; Mangal Prakash; Junjie Xu; Tianyu Cui; Rui Liao; Tommaso Mansi
Spotlight	Geometric Representation Condition Improves Equivariant Molecule Generation	Zian Li; Cai Zhou; Xiyuan Wang; Xingang Peng; Muhan Zhang
Spotlight	Graph Adaptive Autoregressive Moving Average Models	Moshe Eliasof; Alessio Gravina; Andrea Ceni; Claudio Gallicchio; Davide Bacciu; Carola-Bibiane Schönlieb
Spotlight	Graph Diffusion for Robust Multi-Agent Coordination	Xianghua Zeng; Hang Su; Zhengyi Wang; Zhiyuan LIN
Spotlight	Great Models Think Alike and this Undermines AI Oversight	Shashwat Goel; Joschka Strüber; Ilze Amanda Auzina; Karuna K Chandra; Ponnurangam Kumaraguru; Douwe Kiela; Ameya Prabhu; Matthias Bethge; Jonas Geiping
Spotlight	Gridded Transformer Neural Processes for Spatio-Temporal Data	Matthew Ashman; Cristiana Diaconu; Eric Langezaal; Adrian Weller; Richard E. Turner
Spotlight	HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation	Tianwei Lin; Wenqiao Zhang; Sijing Li; Yuqian Yuan; Binhe Yu; Haoyuan Li; Wanggui He; Hao Jiang; Mengze Li; Song xiaohui; Siliang Tang; Jun Xiao; Hui Lin; Yuet…
Spotlight	Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It	Marvin F. da Silva; Felix Dangel; Sageev Oore
Spotlight	Hyperspherical Normalization for Scalable Deep Reinforcement Learning	Hojoon Lee; Youngdo Lee; Takuma Seno; Donghu Kim; Peter Stone; Jaegul Choo
Spotlight	Identifying Causal Direction via Variational Bayesian Compression	Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen
Spotlight	Implicit Language Models are RNNs: Balancing Parallelization and Expressivity	Mark Schöne; Babak Rahmani; Heiner Kremer; Fabian Falck; Hitesh Ballani; Jannes Gladrow
Spotlight	Improving Consistency Models with Generator-Augmented Flows	Thibaut Issenhuth; Sangchul Lee; Ludovic Dos Santos; Jean-Yves Franceschi; Chansoo Kim; Alain Rakotomamonjy
Spotlight	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices	Junhao Dong; Piotr Koniusz; Yifei Zhang; Hao Zhu; Weiming Liu; Xinghua Qu; Yew-Soon Ong
Spotlight	Independence Tests for Language Models	Sally Zhu; Ahmed M Ahmed; Rohith Kuditipudi; Percy Liang
Spotlight	InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective	yuanhong zhang; Muyao Yuan; Weizhan Zhang; Tieliang Gong; Wen Wen; Jiangyong Ying; Weijie Shi
Spotlight	Instance Correlation Graph-based Naive Bayes	Chengyuan Li; Liangxiao Jiang; Wenjun Zhang; Liangjun Yu; Huan Zhang
Spotlight	Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency	Zexu Sun; Qiyu Han; Hao Yang; Anpeng Wu; Minqin Zhu; Dugang Liu; Chen Ma; Yunpeng Weng; Xing Tang; xiuqiang He
Spotlight	Investigating Non-Transitivity in LLM-as-a-Judge	Yi Xu; Laura Ruis; Tim Rocktäschel; Robert Kirk
Spotlight	Is Complex Query Answering Really Complex?	Cosimo Gregucci; Bo Xiong; Daniel Hernández; Lorenzo Loconte; Pasquale Minervini; Steffen Staab; Antonio Vergari
Spotlight	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D	Paul McVay; Sergio Arnaud; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax;…
Spotlight	Language Models May Verbatim Complete Text They Were Not Explicitly Trained On	Ken Liu; Christopher A. Choquette-Choo; Matthew Jagielski; Peter Kairouz; Sanmi Koyejo; Percy Liang; Nicolas Papernot
Spotlight	Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems	Huigen Ye; Hua Xu; An Yan; Yaoyang Cheng
Spotlight	Latent Diffusion Planning for Imitation Learning	Amber Xie; Oleh Rybkin; Dorsa Sadigh; Chelsea Finn
Spotlight	Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models	Saketh Bachu; Erfan Shayegani; Rohit Lal; Trishna Chakraborty; Arindam Dutta; Chengyu Song; Yue Dong; Nael B. Abu-Ghazaleh; Amit Roy-Chowdhury
Spotlight	Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures	Dongzhe Zheng; Wenjie Mei
Spotlight	Learning Parametric Distributions from Samples and Preferences	Marc Jourdan; Gizem Yüce; Nicolas Flammarion
Spotlight	Learning Safety Constraints for Large Language Models	Xin Chen; Yarden As; Andreas Krause
Spotlight	Learning Soft Sparse Shapes for Efficient Time-Series Classification	Zhen Liu; Yicheng Luo; Boyuan Li; Emadeldeen Eldele; Min Wu; Qianli Ma
Spotlight	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING	Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma; Kumar Avinava Dubey; Ayzaan Wahid; S…
Spotlight	Learning to (Learn at Test Time): RNNs with Expressive Hidden States	Yu Sun; Xinhao Li; Karan Dalal; Jiarui Xu; Arjun Vikram; Genghan Zhang; Yann Dubois; Xinlei Chen; Xiaolong Wang; Sanmi Koyejo; Tatsunori Hashimoto; Carlos Gues…
Spotlight	Learning with Exact Invariances in Polynomial Time	Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet
Spotlight	Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection	Jinyu Cai; Yunhe Zhang; Fusheng Liu; See-Kiong Ng
Spotlight	Lightweight Protocols for Distributed Private Quantile Estimation	Anders Aamand; Fabrizio Boninsegna; Abigail Gentle; Jacob Imola; Rasmus Pagh
Spotlight	Linearization Turns Neural Operators into Function-Valued Gaussian Processes	Emilia Magnani; Marvin Pförtner; Tobias Weber; Philipp Hennig
Spotlight	LipsNet++: Unifying Filter and Controller into a Policy Network	Xujie Song; Liangfa Chen; Tong Liu; Wenxuan Wang; Yinuo Wang; Shentao Qin; Yinsong Ma; Jingliang Duan; Shengbo Eben Li
Spotlight	Local Identifying Causal Relations in the Presence of Latent Variables	Zheng Li; Zeyu Liu; Feng Xie; Hao Zhang; Chunchen LIU; Zhi Geng
Spotlight	Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning	Armin Behnamnia; Gholamali Aminian; Alireza Aghaei; Chengchun Shi; Vincent Y. F. Tan; Hamid R. Rabiee
Spotlight	LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression	Haotian Wu; Gongpu Chen; Pier Luigi Dragotti; Deniz Gunduz
Spotlight	MCU: An Evaluation Framework for Open-Ended Game Agents	Xinyue Zheng; Haowei Lin; Kaichen He; Zihao Wang; QIANG FU; Haobo Fu; Zilong Zheng; Yitao Liang
Spotlight	MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding	Zhicheng Zhang; Wuyou Xia; Chenxi Zhao; Zhou Yan; Xiaoqiang Liu; Yongjie Zhu; Wenyu Qin; Pengfei Wan; Di ZHANG; Jufeng Yang
Spotlight	MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models	Mahir Labib Dihan; MD Tanvir Hassan; MD TANVIR PARVEZ; Md Hasebul Hasan; Md Almash Alam; Muhammad Aamir Cheema; Mohammed Eunus Ali; Md Rizwan Parvez
Spotlight	Masked Autoencoders Are Effective Tokenizers for Diffusion Models	Hao Chen; Yujin Han; Fangyi Chen; Xiang Li; Yidong Wang; Jindong Wang; Ze Wang; Zicheng Liu; Difan Zou; Bhiksha Raj
Spotlight	Mastering Board Games by External and Internal Planning with Language Models	John Schultz; Jakub Adamek; Matej Jusup; Marc Lanctot; Michael Kaisers; Sarah Perrin; Daniel Hennes; Jeremy Shar; Cannada A. Lewis; Anian Ruoss; Tom Zahavy; Pe…
Spotlight	Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization	Phillip Huang Guo; Aaquib Syed; Abhay Sheshadri; Aidan Ewart; Gintare Karolina Dziugaite
Spotlight	Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance	Linxi Zhao; Yihe Deng; Weitong Zhang; Quanquan Gu
Spotlight	Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws	Xiyuan Wei; Ming Lin; Fanjiang Ye; Fengguang Song; Liangliang Cao; My T. Thai; Tianbao Yang
Spotlight	Monte Carlo Tree Diffusion for System 2 Planning	Jaesik Yoon; Hyeonseo Cho; Doojin Baek; Yoshua Bengio; Sungjin Ahn
Spotlight	Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport	Tuan Quang Dam; Pascal Stenger; Lukas Schneider; Joni Pajarinen; Carlo D'Eramo; Odalric-Ambrym Maillard
Spotlight	Multi-Turn Code Generation Through Single-Step Rewards	Arnav Kumar Jain; Gonzalo Gonzalez-Pumariega; Wayne Chen; Alexander M Rush; Wenting Zhao; Sanjiban Choudhury
Spotlight	Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime	Diyuan Wu; Marco Mondelli
Spotlight	Neural Encoding and Decoding at Scale	Yizi Zhang; Yanchen Wang; Mehdi Azabou; Alexandre Andre; Zixuan Wang; Hanrui Lyu; International Brain Laboratory; Eva L Dyer; Liam Paninski; Cole Lincoln Hurwi…
Spotlight	New Bounds for Sparse Variational Gaussian Processes	Michalis Titsias
Spotlight	No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks	Attila Szász; Balázs Bánhelyi; Márk Jelasity
Spotlight	Non-stationary Diffusion For Probabilistic Time Series Forecasting	Weiwei Ye; Zhuopeng Xu; Ning Gui
Spotlight	Nonparametric Teaching for Graph Property Learners	Chen Zhang; Weixin Bu; Zeyi Ren; Zhengwu Liu; Yik Chung WU; Ngai Wong
Spotlight	Not All Wrong is Bad: Using Adversarial Examples for Unlearning	Ali Ebrahimpour-Boroojeny; Hari Sundaram; Varun Chandrasekaran
Spotlight	Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks	Lukas Braun; Erin Grant; Andrew M Saxe
Spotlight	Novelty Detection in Reinforcement Learning with World Models	Geigh Zollicoffer; Kenneth Eaton; Jonathan C Balloch; Julia Kim; Wei Zhou; Robert Wright; Mark Riedl
Spotlight	On Learning Parallel Pancakes with Mostly Uniform Weights	Ilias Diakonikolas; Daniel Kane; Sushrut Karmalkar; Jasper C.H. Lee; Thanasis Pittas
Spotlight	On the Benefits of Active Data Collection in Operator Learning	Unique Subedi; Ambuj Tewari
Spotlight	On the Guidance of Flow Matching	Ruiqi Feng; Chenglei Yu; Wenhao Deng; Peiyan Hu; Tailin Wu
Spotlight	On the Power of Context-Enhanced Learning in LLMs	Xingyu Zhu; Abhishek Panigrahi; Sanjeev Arora
Spotlight	On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning	Yi-Rui Yang; Chang-Wei Shi; Wu-Jun Li
Spotlight	Optimizing Adaptive Attacks against Watermarks for Language Models	Abdulrahman Diaa; Toluwani Aremu; Nils Lukas
Spotlight	Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner	Chunhui Zhang; Zhongyu Ouyang; Kwonjoon Lee; Nakul Agarwal; Sean Dae Houlihan; Soroush Vosoughi; Shao-Yuan Lo
Spotlight	P(all-atom) Is Unlocking New Path For Protein Design	Wei Qu; Jiawei Guan; Rui Ma; kezhai; Weikun.Wu; Haobo Wang
Spotlight	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling	Avery Ma; Yangchen Pan; Amir-massoud Farahmand
Spotlight	PASS: Private Attributes Protection with Stochastic Data Substitution	Yizhuo Chen; Chun-Fu Chen; Hsiang Hsu; Shaohan Hu; Tarek F. Abdelzaher
Spotlight	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs	Jianqing Zhang; Yang Liu; JIE FU; Yang Hua; Tianyuan Zou; Jian Cao; Qiang Yang
Spotlight	Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models	Huanjian Zhou; Masashi Sugiyama
Spotlight	Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data	Jeonghye Kim; Yongjae Shin; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngchul Sung; Kanghoon Lee; Woohyung Lim
Spotlight	PokéChamp: an Expert-level Minimax Language Agent	Seth Karten; Andy Luu Nguyen; Chi Jin
Spotlight	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning	Zhenghai Xue; Lang Feng; Jiacheng Xu; Kang Kang; Xiang Wen; Bo An; Shuicheng YAN
Spotlight	Policy-labeled Preference Learning: Is Preference Enough for RLHF?	Taehyun Cho; Seokhun Ju; Seungyub Han; Dohyeong Kim; Kyungjae Lee; Jungwoo Lee
Spotlight	Prediction models that learn to avoid missing values	Lena Stempfle; Anton Matsson; Newton Mwai; Fredrik D. Johansson
Spotlight	Primal-Dual Neural Algorithmic Reasoning	Yu He; Ellen Vitercik
Spotlight	Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting	Jan Schuchardt; Mina Dalirrooyfard; Jed Guzelkabaagac; Anderson Schneider; Yuriy Nevmyvaka; Stephan Günnemann
Spotlight	Probabilistic Factorial Experimental Design for Combinatorial Interventions	Divya Shyamal; Jiaqi Zhang; Caroline Uhler
Spotlight	Procurement Auctions via Approximately Optimal Submodular Optimization	Yuan Deng; Amin Karbasi; Vahab Mirrokni; Renato Paes Leme; Grigoris Velegkas; Song Zuo
Spotlight	Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models	Taj Jones-McCormick; Aukosh Jagannath; Subhabrata Sen
Spotlight	RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding	Guanzheng Chen; Qilong Feng; Jinjie Ni; Xin Li; Michael Qizhe Shieh
Spotlight	RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts	Hjalmar Wijk; Tao Roa Lin; Joel Becker; Sami Jawhar; Neev Parikh; Thomas Broadley; Lawrence Chan; Michael Chen; Joshua M Clymer; Jai Dhyani; Elena Ericheva; Ka…
Spotlight	RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning	Jonas Gehring; Kunhao Zheng; Jade Copet; Vegard Mella; Taco Cohen; Gabriel Synnaeve
Spotlight	Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization	Shira Vansover-Hager; Tomer Koren; Roi Livni
Spotlight	Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models	Ulzee An; Moonseong Jeong; Simon Austin Lee; Aditya Gorla; Yuzhe Yang; Sriram Sankararaman
Spotlight	Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger	Qi Yang; Chenghao Zhang; Lubin Fan; Kun Ding; Jieping Ye; Shiming Xiang
Spotlight	Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games	Linjian Meng; Wubing Chen; Wenbin Li; Tianpei Yang; Youzhi Zhang; Yang Gao
Spotlight	Relational Invariant Learning for Robust Solvation Free Energy Prediction	yeyunchen
Spotlight	ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals	Utkarsh Saxena; Sayeh Sharify; Kaushik Roy; Xin Wang
Spotlight	Rethink GraphODE Generalization within Coupled Dynamical System	Guancheng Wan; Zijie Huang; Wanjia Zhao; Xiao Luo; Yizhou Sun; Wei Wang
Spotlight	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces	Henry Moss; Sebastian W. Ober; Tom Diethe
Spotlight	Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning	Shuai Yi; Yixiong Zou; Yuhua Li; Ruixuan Li
Spotlight	Robust Automatic Modulation Classification with Fuzzy Regularization	Xinyan Liang; Ruijie Sang; Yuhua Qian; Qian Guo; Feijiang Li; Liang Du
Spotlight	Robust ML Auditing using Prior Knowledge	Jade Garcia Bourrée; Augustin Godinot; Sayan Biswas; Anne-Marie Kermarrec; Erwan Le Merrer; Gilles Tredan; Martijn de Vos; Milos Vujasinovic
Spotlight	Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs	Greyson Brothers
Spotlight	SAFE: Finding Sparse and Flat Minima to Improve Pruning	Dongyeop Lee; Kwanhee Lee; Jinseok Chung; Namhoon Lee
Spotlight	SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming	Hong-Ming Chiu; Hao Chen; Huan Zhang; Richard Y. Zhang
Spotlight	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization	Hao Li; Qi Lv; Rui Shao; Xiang Deng; Yinchuan Li; Jianye HAO; Liqiang Nie
Spotlight	Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching	Tinglin Huang; Tianyu Liu; Mehrtash Babadi; Wengong Jin; Rex Ying
Spotlight	Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream	Abdulkadir Gokce; Martin Schrimpf
Spotlight	Scaling Test-Time Compute Without Verification or RL is Suboptimal	Amrith Setlur; Nived Rajaraman; Sergey Levine; Aviral Kumar
Spotlight	Scaling Trends in Language Model Robustness	Nikolaus H. R. Howe; Ian R. McKenzie; Oskar John Hollinsworth; Michał Zając; Tom Tseng; Aaron David Tucker; Pierre-Luc Bacon; Adam Gleave
Spotlight	Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions	Tejas Jayashankar; Jongha Jon Ryu; Gregory W. Wornell
Spotlight	Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum	Haoyang Li; Xin Wang; Zeyang Zhang; Zongyuan Wu; Linxin Xiao; Wenwu Zhu
Spotlight	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference	Hanshi Sun; Li-Wen Chang; Wenlei Bao; Size Zheng; Ningxin Zheng; Xin Liu; Harry Dong; Yuejie Chi; Beidi Chen
Spotlight	Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate	Yingzhen Yang
Spotlight	Signed Laplacians for Constrained Graph Clustering	John Stewart Fabila Carrasco; He Sun
Spotlight	Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration	Qinglin Zhu; Runcong Zhao; Hanqi Yan; Yulan He; Yudong Chen; Lin Gui
Spotlight	Sparse-pivot: Dynamic correlation clustering for node insertions	Mina Dalirrooyfard; Konstantin Makarychev; Slobodan Mitrović
Spotlight	Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints	Ruichuan Huang; Jiawei Zhang; Ahmet Alacaoglu
Spotlight	Stronger Neyman Regret Guarantees for Adaptive Experimental Design	Georgy Noarov; Riccardo Fogliato; Martin Andres Bertran; Aaron Roth
Spotlight	SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation	Jiayue Liu; Zhongchao Yi; Zhengyang Zhou; Qihe Huang; Kuo Yang; Xu Wang; Yang Wang
Spotlight	TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation	Hyeongwon Jang; Changhun Kim; Eunho Yang
Spotlight	TLLC: Transfer Learning-based Label Completion for Crowdsourcing	Wenjun Zhang; Liangxiao Jiang; Chaoqun Li
Spotlight	TabFlex: Scaling Tabular Learning to Millions with Linear Attention	Yuchen Zeng; Tuan Dinh; Wonjun Kang; Andreas C Mueller
Spotlight	Taming Knowledge Conflicts in Language Models	Gaotang Li; Yuzhong Chen; Hanghang Tong
Spotlight	The Jailbreak Tax: How Useful are Your Jailbreak Outputs?	Kristina Nikolić; Luze Sun; Jie Zhang; Florian Tramèr
Spotlight	The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes	Pedro Pinto Santos; Alberto Sardinha; Francisco S. Melo
Spotlight	The Role of Randomness in Stability	Max Hopkins; Shay Moran
Spotlight	The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data	Thomas Pouplin; Kasia Kobalczyk; Hao Sun; Mihaela van der Schaar
Spotlight	TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting	Qihe Huang; Zhengyang Zhou; Kuo Yang; Zhongchao Yi; Xu Wang; Yang Wang
Spotlight	Towards Better-than-2 Approximation for Constrained Correlation Clustering	Andreas Kalavas; Evangelos Kipouridis; Nithin Varma
Spotlight	Towards Practical Defect-Focused Automated Code Review	Junyi Lu; Lili Jiang; Xiaojia Li; Jianbing Fang; Fengjun Zhang; Li Yang; Chun Zuo
Spotlight	Towards Robustness and Explainability of Automatic Algorithm Selection	Xingyu Wu; Jibin Wu; Yu Zhou; Liang Feng; KC Tan
Spotlight	Towards a Mechanistic Explanation of Diffusion Model Generalization	Matthew Niedoba; Berend Zwartsenberg; Kevin Patrick Murphy; Frank Wood
Spotlight	Training Deep Learning Models with Norm-Constrained LMOs	Thomas Pethick; Wanyun Xie; Kimon Antonakopoulos; Zhenyu Zhu; Antonio Silveti-Falls; Volkan Cevher
Spotlight	Training Dynamics of In-Context Learning in Linear Attention	Yedi Zhang; Aaditya K Singh; Peter E. Latham; Andrew M Saxe
Spotlight	Trusted Multi-View Classification with Expert Knowledge Constraints	Xinyan Liang; Shijie Wang; Yuhua Qian; Qian Guo; Liang Du; Bingbing Jiang; Tingjin Luo; Feijiang Li
Spotlight	Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes	Dongjae Jeon; Dueun Kim; Albert No
Spotlight	UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control	Kaizhen Zhu; Mokai Pan; Yuexin Ma; Yanwei Fu; Jingyi Yu; Jingya Wang; Ye Shi
Spotlight	Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting	Sunny Sanyal; Hayden Prairie; Rudrajit Das; Ali Kavis; Sujay Sanghavi
Spotlight	Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations	Yucheng Hu; Yanjiang Guo; Pengchao Wang; Xiaoyu Chen; Yen-Jen Wang; Jianke Zhang; Koushil Sreenath; Chaochao Lu; Jianyu Chen
Spotlight	Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning	RINA BAO; Shilong Dong; Zhenfang Chen; Sheng He; Ellen Grant; Yangming Ou
Spotlight	Weakly-Supervised Contrastive Learning for Imprecise Class Labels	Zi-Hao Zhou; Jun-Jie Wang; Tong Wei; Min-Ling Zhang
Spotlight	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network	Dong Xiao; Guangyao Chen; Peixi Peng; Yangru Huang; Yifan Zhao; Yongxing Dai; Yonghong Tian
Spotlight	When and How Does CLIP Enable Domain and Compositional Generalization?	Elias Kempf; Simon Schrodi; Max Argus; Thomas Brox
Spotlight	Where is the Truth? The Risk of Getting Confounded in a Continual World	Florian Peter Busch; Roshni Ramanna Kamath; Rupert Mitchell; Wolfgang Stammer; Kristian Kersting; Martin Mundt
Spotlight	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems	Shaokun Zhang; Ming Yin; Jieyu Zhang; Jiale Liu; Zhiguang Han; Jingyang Zhang; Beibin Li; Chi Wang; Huazheng Wang; Yiran Chen; Qingyun Wu
Spotlight	am-ELO: A Stable Framework for Arena-based LLM Evaluation	Zirui Liu; Jiatong Li; Yan Zhuang; Qi Liu; Shuanghong Shen; Jie Ouyang; Mingyue Cheng; Shijin Wang
Spotlight	scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data	Olga Ovcharenko; Florian Barkmann; Philip Toma; Imant Daunhawer; Julia E Vogt; Sebastian Schelter; Valentina Boeva

Official Area / Track Distribution

Official area / track	篇数	占比
deep_learning->large_language_models	437	13.4%
applications->computer_vision	176	5.4%
deep_learning->generative_models_and_autoencoders	167	5.1%
applications->chemistry_physics_and_earth_sciences	115	3.5%
deep_learning->graph_neural_networks	105	3.2%
theory->learning_theory	86	2.6%
social_aspects->accountability_transparency_and_interpretability	74	2.3%
applications->health_medicine	70	2.1%
reinforcement_learning	68	2.1%
general_machine_learning->causality	67	2.1%
social_aspects->privacy	63	1.9%
deep_learning->robustness	62	1.9%
theory->online_learning_and_bandits	57	1.8%
deep_learning->algorithms	55	1.7%
general_machine_learning	54	1.7%
general_machine_learning->transfer_multitask_and_metalearning	54	1.7%
general_machine_learning->representation_learning	51	1.6%
deep_learning->foundation_models	50	1.5%
applications->everything_else	50	1.5%
deep_learning	48	1.5%
deep_learning->theory	46	1.4%
applications->neuroscience_cognitive_science	45	1.4%
optimization	44	1.4%
social_aspects->safety	44	1.4%
deep_learning->sequential_models_time_series	41	1.3%
reinforcement_learning->deep_rl	41	1.3%
general_machine_learning->supervised_learning	41	1.3%
deep_learning->attention_mechanisms	39	1.2%
general_machine_learning->evaluation	38	1.2%
deep_learning->everything_else	37	1.1%
applications->robotics	36	1.1%
applications->language_speech_and_dialog	35	1.1%
theory->deep_learning	35	1.1%
theory->reinforcement_learning_and_planning	34	1.0%
general_machine_learning->clustering	32	1.0%
applications	32	1.0%
theory->game_theory	31	1.0%
optimization->large_scale_parallel_and_distributed	31	1.0%
general_machine_learning->online_learning_active_learning_and_bandits	31	1.0%
social_aspects->security	30	0.9%
reinforcement_learning->multiagent	30	0.9%
deep_learning->other_representation_learning	29	0.9%
general_machine_learning->unsupervised_and_semisupervised_learning	29	0.9%
applications->time_series	27	0.8%
general_machine_learning->everything_else	27	0.8%
optimization->discrete_and_combinatorial_optimization	26	0.8%
theory->optimization	25	0.8%
reinforcement_learning->batchoffline	24	0.7%
social_aspects->fairness	23	0.7%
probabilistic_methods	20	0.6%
probabilistic_methods->monte_carlo_and_sampling_methods	20	0.6%
theory->everything_else	18	0.6%
general_machine_learning->sequential_network_and_time_series_modeling	17	0.5%
probabilistic_methods->bayesian_models_and_methods	16	0.5%
deep_learning->selfsupervised_learning	16	0.5%
theory	16	0.5%
theory->probabilistic_methods	15	0.5%
optimization->stochastic	14	0.4%
reinforcement_learning->planning	14	0.4%
probabilistic_methods->variational_inference	14	0.4%
social_aspects->robustness	13	0.4%
general_machine_learning->scalable_algorithms	13	0.4%
social_aspects->alignment	13	0.4%
optimization->nonconvex	12	0.4%
theory->domain_adaptation_and_transfer_learning	12	0.4%
social_aspects	12	0.4%
probabilistic_methods->gaussian_processes	11	0.3%
optimization->zeroorder_and_blackbox_optimization	11	0.3%
optimization->convex	10	0.3%
applications->social_sciences	8	0.2%
general_machine_learning->hardware_and_software	8	0.2%
probabilistic_methods->everything_else	8	0.2%
reinforcement_learning->online	8	0.2%
reinforcement_learning->inverse	7	0.2%
general_machine_learning->kernel_methods	7	0.2%
optimization->everything_else	7	0.2%
reinforcement_learning->everything_else	7	0.2%
probabilistic_methods->graphical_models	4	0.1%
theory->active_learning_and_interactive_learning	4	0.1%
probabilistic_methods->structure_learning	4	0.1%
reinforcement_learning->policy_search	2	0.1%
applications->energy	2	0.1%
social_aspects->everything_else	1	0.0%
probabilistic_methods->spectral_methods	1	0.0%
Total	3257	100.0%

关键词云图

Keywords / Topic Clusters

Official area / track	高频关键词
deep_learning->large_language_models	Large Language Models(82), large language models(42), LLM(34), Large Language Model(32), Reasoning(18), RLHF(16), reasoning(16), LLMs(16), large language model(13), language models(11)
applications->computer_vision	Diffusion Model(7), 3D Gaussian Splatting(6), Diffusion Models(6), computer vision(5), Autonomous Driving(4), Image Generation(4), Image Editing(4), Deepfake Detection(3), Diffusion(3), Semantic Segmentation(3)
deep_learning->generative_models_and_autoencoders	diffusion models(21), Diffusion Models(18), generative models(11), Diffusion Model(11), Diffusion models(11), Diffusion(7), Flow Matching(6), diffusion(6), flow matching(6), Generative Models(5)
applications->chemistry_physics_and_earth_sciences	AI for Science(5), drug discovery(4), flow matching(4), generative models(4), PDEs(4), Neural Operator(4), molecular dynamics(3), diffusion models(3), Molecular Dynamics(3), PDE(3)
deep_learning->graph_neural_networks	Graph Neural Networks(31), graph neural networks(12), Graph Neural Network(5), Link Prediction(4), Graph neural networks(4), Large Language Models(4), Graph Transformers(4), GNN(3), GNNs(3), Graph Learning(3)
theory->learning_theory	learning theory(6), sample complexity(5), Generalization Analysis(4), in-context learning(2), feature learning(2), single-index models(2), PAC Learning(2), high-dimensional statistics(2), Generalization Bound(2), generalization(2)
social_aspects->accountability_transparency_and_interpretability	Interpretability(16), interpretability(15), Mechanistic Interpretability(7), mechanistic interpretability(6), Sparse Autoencoders(5), LLM(4), XAI(4), explainability(3), Explainable AI(3), explainable AI(3)
applications->health_medicine	healthcare(3), generative models(3), Representation Learning(3), scRNA-seq(3), protein design(3), Benchmark(3), Healthcare(3), Deep Learning(2), benchmark(2), EHR(2)
reinforcement_learning	Reinforcement Learning(22), reinforcement learning(8), Reinforcement learning(4), Imitation Learning(3), Online Learning(2), Optimal Transport(2), Deep Reinforcement Learning(2), Actor-Critic(2), constrained RL(2), Offline-to-Online Reinforcement Learning(2)
general_machine_learning->causality	causal inference(11), causal discovery(8), Causality(6), Causal inference(4), causality(4), Causal Inference(4), Causal Discovery(4), neural networks(3), Treatment Effect Estimation(3), unmeasured confounding(3)
social_aspects->privacy	Differential Privacy(16), differential privacy(15), Federated Learning(9), federated learning(6), Differential privacy(4), Privacy(3), machine unlearning(3), large language models(2), synthetic data(2), Privacy Protection(2)
deep_learning->robustness	robustness(6), Robustness(5), CLIP(4), Adversarial Robustness(3), adversarial robustness(3), spurious correlation(2), Large Language Models(2), Machine Learning(2), certification(2), benchmark(2)
theory->online_learning_and_bandits	bandits(6), Bandits(6), online learning(6), Online Learning(5), pure exploration(4), linear bandits(3), bandit(2), linear bandit(2), Contextual bandits(2), Linear Bandits(2)
deep_learning->algorithms	Deep Learning(6), LLMs(4), deep learning(3), second-order optimization(2), Large Language Models(2), transformer(2), quantization(2), Spiking Neural Networks(2), Model Merging(2), Quantization(2)
general_machine_learning	conformal prediction(5), Federated Learning(3), uncertainty quantification(3), optimal transport(2), Optimization(2), conformal training(2), Federated learning(2), Conformal prediction(2), Regression(1), Segmented Regression(1)
general_machine_learning->transfer_multitask_and_metalearning	Model Merging(9), test-time adaptation(4), transfer learning(3), meta-learning(3), in-context learning(3), Transfer Learning(3), Continual Learning(3), Domain Generalization(2), parameter-efficient fine-tuning(2), Parameter-efficient fine-tuning(2)
general_machine_learning->representation_learning	Representation Learning(8), representation learning(3), Multimodal Learning(3), Contrastive Learning(3), Topological Deep Learning(2), Machine Learning(2), CLIP(2), density-based distance(1), Fermat distance(1), Riemannian geometry(1)
deep_learning->foundation_models	Foundation Model(5), Large Language Model(4), Foundation Models(3), Multimodal Large Language Models(3), Vision Language Models(2), foundation models(2), large language models(2), In-Context Learning(2), pre-training(2), post-training(2)
applications->everything_else	Large Language Models(2), Code Generation(2), Reasoning(2), LLMs(2), diffusion(2), synthetic data(2), Reinforcement Learning(2), Multi-class logistic regression model(1), Pairwise maximum likelihood estimation(1), Rare class analysis(1)
deep_learning	Continual Learning(4), continual learning(3), Optimization(3), equivariant neural network(3), deep learning(2), Deep Learning(2), Computer Vision(2), computer vision(2), Lie theory(2), Class-incremental learning(2)
deep_learning->theory	sharpness(3), loss landscape(3), optimization(3), Diffusion models(3), Implicit Bias(2), linear mode connectivity(2), convergence(2), Neural networks(2), $\mu$P(2), feature learning(2)
applications->neuroscience_cognitive_science	neuroscience(8), Neuroscience(5), Brain-Computer Interface(4), Spiking Neural Networks(3), spiking neural networks(3), robustness(2), computational neuroscience(2), psychology(2), cognitive science(2), multimodal(2)
optimization	adaptive optimization(3), stochastic gradient descent(2), optimization(2), Optimization(2), stochastic optimization(2), generalization(2), nonconvex optimization(2), generalized smoothness(2), tripe-optimitistic framework(1), contetxual bandits(1)
social_aspects->safety	safety(4), Safety(4), large language models(3), Alignment(3), LLM(3), AI safety(3), Jailbreaking(3), LLM safety(2), large language model(2), LLMs(2)
deep_learning->sequential_models_time_series	Time series forecasting(6), Time Series Forecasting(6), Time Series(5), time series(3), interpretability(3), Transformer(3), Foundation models(3), Deep Learning(3), mamba(2), in-context learning(2)
reinforcement_learning->deep_rl	Reinforcement Learning(11), reinforcement learning(6), World Models(4), online reinforcement learning(4), Deep Reinforcement Learning(4), Model-based Reinforcement Learning(3), Reinforcement Learning from Human Feedback(2), Machine Learning(2), q-learning(2), representation learning(2)
general_machine_learning->supervised_learning	Machine Learning(3), decision forests(2), consistency(2), learning theory(2), Knowledge Distillation(2), label distribution learning(2), label polysemy(2), Crowdsourcing learning(2), ensembles(1), model efficiency(1)
deep_learning->attention_mechanisms	attention(6), transformers(4), Transformers(4), Attention(3), Transformer(3), transformer(3), Sparse Attention(3), in-context learning(3), Training Dynamics(2), relational(2)
general_machine_learning->evaluation	Large Language Models(5), Evaluation(5), benchmark(5), evaluations(5), Benchmark(4), large language models(3), synthetic data(3), evaluation(3), llm(3), evals(2)
deep_learning->everything_else	deep learning(3), Hessian(2), Factorization(1), Compositionality(1), Compositional Generalization(1), Data Efficiency(1), Local symmetry discovery(1), symmetry discovery(1), equivariance(1), gauge equivariant neural network(1)
applications->robotics	Robotics(4), imitation learning(3), Imitation Learning(3), Vision-Language Models(2), Autonomous Driving(2), Planning(2), diffusion model(2), manipulation(2), Manipulation(2), Behavior Cloning(2)
applications->language_speech_and_dialog	Large Language Model(3), Automatic Speech Recognition(2), Large Language Models(2), Generative Model(2), NLP(1), Cryptic Crosswords(1), Reasoning(1), Proof/Verification(1), synthetic data(1), language model(1)
theory->deep_learning	deep learning(5), deep learning theory(3), Deep learning theory(2), transformers(2), theory(2), Implicit Regularization(2), Overparameterization(2), attention(2), representation(2), generalization(2)
theory->reinforcement_learning_and_planning	reinforcement learning(6), Reinforcement Learning(6), Function Approximation(3), Reinforcement learning(2), Regret Minimization(2), offline reinforcement learning(2), generalization(2), Reinforcement Learning Theory(2), Quantum Machine Learning(2), Reinforcement learning theory(2)
general_machine_learning->clustering	clustering(4), Clustering(3), Multi-view Clustering(3), Federated Learning(3), Multi-View Clustering(3), spectral clustering(2), Multi-modal clustering(2), Information bottleneck(2), Multi-view clustering(2), Correlation Clustering(1)
applications	Software Engineering(2), benchmark(2), large language models(2), multimodal emotion recognition(2), Large Language Models(2), LLM(2), Agents(2), agent(2), Automated Code Review(1), Merge Request Analysis(1)
theory->game_theory	Nash Equilibrium(5), game theory(3), Mechanism Design(2), policy gradient methods(2), Auction Design(2), Game Theory(2), online learning(2), Auction Theory(1), Testing Distributional Assumptions(1), Preference Aggregation(1)
optimization->large_scale_parallel_and_distributed	Optimization(4), federated learning(3), Federated Learning(3), Pipeline Parallelism(2), distributed optimization(2), Large Language Models(2), Distributed Learning(2), decentralized optimization(2), Asynchronous Optimization(2), stochastic optimization(2)
general_machine_learning->online_learning_active_learning_and_bandits	online learning(7), Best Arm Identification(2), active learning(2), optimal design(2), Dynamic Regret(2), machine learning(2), Online Learning(2), Active learning(2), test-time adaptation(2), Game theory(1)
social_aspects->security	large language models(3), security(3), large language model(2), code security(2), benchmark(2), adversarial attacks(2), prompt optimization(2), Diffusion Model(2), Adversarial Purification(2), Adversarial Attack(2)
reinforcement_learning->multiagent	Multi-Agent Reinforcement Learning(5), Multi-agent Reinforcement Learning(5), Reinforcement Learning(3), multi-agent systems(2), multi-agent reinforcement learning(2), reinforcement learning(2), multi-agent(2), Hypergraph Convolution(1), Dynamic Grouping(1), Multi-Agent Cooperation(1)
deep_learning->other_representation_learning	Transformer(3), Interpretability(2), representation alignment(2), diffusion model(2), Mixture of Experts(2), CLIP(2), representation learning(2), Trajectory representation learning(1), mobility learning(1), spatio-temporal learning(1)
general_machine_learning->unsupervised_and_semisupervised_learning	Anomaly Detection(3), semi-supervised learning(3), manifold learning(2), Representation Learning(2), unsupervised learning(2), Dimension Reduction(1), Denoising(1), Diffusion Maps(1), Laplacian(1), VAE(1)
applications->time_series	time series(3), Time Series(3), Time series forecasting(3), Multivariate time series forecasting(2), Time Series Foundation Models(2), Time Series Forecasting(2), Time Series Classification(2), machine learning(2), Large Language Models(2), Time Series Analysis(1)
general_machine_learning->everything_else	Federated learning(2), Conformal Prediction(2), language models(1), safety(1), interpretability(1), reliability(1), Machine unlearning(1), poisoning attack(1), thrust vector control theory(1), John's Theorem(1)
optimization->discrete_and_combinatorial_optimization	Combinatorial Optimization(6), Neural Combinatorial Optimization(3), Mixed Integer Linear Programming(3), submodular optimization(2), Large Language Model(2), Vehicle Routing Problem(1), Multi-Task Learning(1), Task-Specific Prompt(1), Dual Attention Mechanism(1), Cross-Problem Learning(1)
theory->optimization	differential privacy(2), algorithms(2), parameterized complexity(2), non-convex optimization(2), Clustering(2), optimization(2), Information theoretic generalization(1), Langevin(1), SGD(1), Permutation-based SGD(1)
reinforcement_learning->batchoffline	Offline Reinforcement Learning(4), reinforcement learning(3), Decision Transformer(2), offline reinforcement learning(2), Offline Goal-Conditioned Reinforcement Learning(2), latent action learning(1), imitation learning(1), learning from observations(1), learning from videos(1), latent action model(1)
social_aspects->fairness	fairness(9), Fairness(6), Large Language Models(2), Watermarking(1), Knowledge Graph(1), Diffusion Models(1), Generative Models(1), Counterfactual fairness(1), Principal strata(1), bias mitigation(1)
probabilistic_methods	sample complexity(2), Bayesian Inference(2), Diffusion Models(2), Conformal Prediction(2), Controlled Generation(1), Probabilistic Reasoning(1), Tractable Inference(1), Hidden Markov Models (HMM)(1), Detoxification(1), CTMC(1)
probabilistic_methods->monte_carlo_and_sampling_methods	sampling(2), Sampling(2), MCMC(2), Markov chain Monte Carlo(2), jarzynski(1), generative models(1), diffusion(1), monte carlo(1), Stochastic Optimal Control(1), Bridges(1)
theory->everything_else	distributed diffusion models(1), generation error bound(1), Tensors(1), Kronecker measurements(1), Sketching(1), Matrix-Vector(1), Lower Bound(1), Query Complexity(1), prediction-powered inference(1), L-statistics(1)
general_machine_learning->sequential_network_and_time_series_modeling	time series forecasting(3), Time Series(2), Invariances(1), Neural Networks(1), Convolutions(1), spatio-temporal modeling(1), time-series modeling(1), time-shift operator(1), Khatri-Rao neural operator(1), neural operator(1)
probabilistic_methods->bayesian_models_and_methods	Bayesian Deep Learning(2), Uncertainty Quantification(2), Bayesian Inference(2), Bayesian optimization(2), Kalman Filtering(1), Sensor Scheduling(1), Bayesian State-Space Models(1), Control(1), Bayesian Neural Networks(1), BNNs(1)
deep_learning->selfsupervised_learning	self-supervised learning(4), Self-supervised learning(2), Semi-supervised learning(2), contrastive learning(2), JEPA(1), MoE(1), multimodal(1), alignment(1), Contrastive learning(1), labeling error(1)
theory	learning-augmented algorithms(2), learning augmented algorithms(1), data driven algorithms(1), data-driven algorithms(1), combinatorial optimization(1), approximation algorithms(1), large language models(1), conformal risk control(1), human-machine alignment(1), model calibration(1)
theory->probabilistic_methods	Conformal prediction(2), Calibration(2), DDPM(1), Stochastic Localization(1), speculative decoding(1), probabilistic inference(1), tractable models(1), expressive-efficiency(1), Data Analysis Pipeline(1), AutoML(1)
optimization->stochastic	stochastic optimization(3), Optimization(1), Stochastic Optimization(1), Coordinate Descent(1), Random Permutations(1), Sample average approximation(1), diametrical risk minimization(1), confidence bound(1), heavy tails(1), Non-convex Optimization(1)
reinforcement_learning->planning	Monte-Carlo Tree Search(3), planning(3), Reinforcement Learning(2), iLQR(1), Differentiable control(1), Learning based control(1), Continuous Reinforcement Learning Planning(1), Planning under Uncertainty(1), Monte-carlo tree search(1), distributionally robust reinforcement learning(1)
probabilistic_methods->variational_inference	Variational Inference(5), Bayesian Inference(2), Multilayer matrix factorization(1), Variational inference(1), Variational diffusion models(1), Dimension reduction(1), Diffusion bridge(1), variational approximation(1), change of measure(1), Phylogenetic Inference(1)
social_aspects->robustness	Semantic Bias(1), Shortcut Learning(1), Siamese Networks(1), Model Generalization(1), Debiasing(1), Tabular LLM(1), Model Multiplicity(1), Few-shot Learning(1), Prediction Consistency(1), Certification(1)
general_machine_learning->scalable_algorithms	Extreme Multi-Label Classification(1), Low-Precision Training(1), Peak Memory Optimization(1), FLOAT8 training(1), Sci-ML(1), Physics Informed Neural Networks(1), Natural Gradients(1), Sketching(1), Dimensionality Reduction(1), Dimension Reduction(1)
social_aspects->alignment	RLHF(3), AI Alignment(2), Reinforcement Learning(2), preference learning(2), Safety Alignment(2), Value lock-in(1), Human-AI interaction(1), Myopic Optimization(1), LLM Agents(1), Process Supervision(1)
optimization->nonconvex	Contextual Optimization(1), Machine Learning(1), Constrained Optimization(1), primal-dual algorithms(1), stochastic optimization(1), single-loop algorithms(1), linear inequality constraints(1), Continual optimization(1), meta-parameter optimization(1), Matrix factorisation(1)
theory->domain_adaptation_and_transfer_learning	Domain adaptation(2), Transfer Learning(2), In-context learning(1), Generalization(1), OOD(1), out-of-distribution(1), Machine Learning(1), ICL(1), model ensemble(1), fine-tuning(1)
social_aspects	LLM(1), membership inference(1), dataset inference(1), watermarking(1), test set contamination(1), algorithmic monoculture(1), evaluations(1), LLMs(1), Healthcare(1), Safety(1)
probabilistic_methods->gaussian_processes	stochastic poisson surface reconstruction(1), geometric gaussian processes(1), computer graphics(1), Gaussian process(1), Kronecker(1), Bayesian(1), scalable(1), product kernel(1), gridded data(1), missing values(1)
optimization->zeroorder_and_blackbox_optimization	Bayesian optimization(2), Universal optimization(1), Offline optimization(1), discrete optimization(1), derivative-free optimization(1), black-box function(1), regret bounds(1), subspace learning(1), neural networks(1), surrogate modeling(1)
optimization->convex	convex optimization(3), Convex optimizaton(1), Nonsmooth optimization(1), Shuffling methods(1), neural operators(1), proximal optimization(1), bregman divergence(1), fourier neural operator(1), cutting plane method(1), active learning(1)
applications->social_sciences	interpretability(1), hypothesis generation(1), sparse autoencoders(1), computational social science(1), topic modeling(1), Pluralistic Alignment(1), Text-to-Image Diffusion(1), Intersectionality(1), Urban Planning(1), DPO(1)
general_machine_learning->hardware_and_software	PyTorch(2), Quantization(2), Rematerialization(1), Checkpointing(1), Memory-Efficient Training(1), Neural Networks(1), Integer Linear Programming(1), Training(1), Linear RNNs(1), Sparsity(1)
probabilistic_methods->everything_else	online multiple testing(1), generalized $\alpha$-investing(1), e-value(1), false discovery rate(1), prediction-powered inference(1), e-values(1), statistical inference(1), distribution-free methods(1), human-ai(1), consensus(1)
reinforcement_learning->online	Reinforcement Learning(2), Model-Free Reinforcement Learning(1), Policy Optimization(1), Offline-to-online RL(1), Unsupervised Pre-training(1), Exploration(1), Anomaly Detection(1), Safety Mechanisms(1), Distributional Reinforcement Learning(1), Risk Aversion(1)
reinforcement_learning->inverse	Inverse Reinforcement Learning(3), Imitation Learning(2), Learning from Videos(1), Reward Formulation(1), Learning from Human Feedback(1), Preference Based Reinforcement Learning(1), Robust Learning(1), Inverse game(1), Quantal Response Equilibrium(1), Reward recovery(1)
general_machine_learning->kernel_methods	kernel methods(2), Learning with Invariances(1), Kernels(1), Spectral Theory(1), point processes(1), kernel intensity estimators(1), representer theorem(1), least squares loss(1), probability metrics(1), quantiles(1)
optimization->everything_else	Manifold Denoising(1), Learning-to-optimize(1), Quantum Computing(1), QAOA(1), Correlation Clustering(1), Inverse problems(1), data-driven priors(1), deep equilibrium(1), iterative refinement(1), spatial adaptivity.(1)
reinforcement_learning->everything_else	Multi-Objective Optimization(1), Multi-Objective Reinforcement Learning(1), Embodied AI(1), Model implanting(1), World models(1), Large language model(1), Reinforcement learning(1), Biological agents(1), Comparative study(1), Variance-penalized temporal difference learning(1)
probabilistic_methods->graphical_models	decision-making(1), probabilistic optimization(1), structural model(1), Probabilistic Circuits(1), Density Estimation(1), High-dimensional graphical model(1), Maximum marginal likelihood estimation(1), Marginal recoverability(1), Mixture model(1), Gene regulatory network(1)
theory->active_learning_and_interactive_learning	Experimental Design(1), Factorial Experiment(1), Combinatorial Interventions(1), Multi-Armed Bandits(1), Causal Inference(1), Average Treatment Effect(1), Operator Learning(1), Active Learning(1), PDEs(1), graph(1)
probabilistic_methods->structure_learning	causal discovery(2), Causal discovery(1), discrete latent variables(1), graph neural network(1), time series(1), non-stationary(1), probabilistic modelling(1), identifiability(1), search-and-score structure learning(1), latent variable(1)
reinforcement_learning->policy_search	reinforcement learning(1), policy gradients(1), convergence(1), deterministic policies(1), Goal-Conditioned Reinforcement Learning(1), Policy Regularization(1), Continuity of Goal-Achievement Ability(1)
applications->energy	CPU(1), Inference(1), Power Grid Control(1), Large Language Models-enhanced Reinforcement Learning(1)
social_aspects->everything_else	suitability(1), reliability(1), robustness(1), classifier(1), unlabeled data(1)
probabilistic_methods->spectral_methods	Weight Matrix Compression(1), Noise-filtering(1), Generalization Performance(1), Random Matrix Theory(1)

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	Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency Authors: Zexu Sun; Qiyu Han; Hao Yang; Anpeng Wu; Minqin Zhu; Dugang Liu; Chen Ma; Yunpeng Weng; Xing Tang; xiuqiang He Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Uplift modeling; Invariant learning; Incentives assignment; Online marketing
2	Towards Practical Defect-Focused Automated Code Review Authors: Junyi Lu; Lili Jiang; Xiaojia Li; Jianbing Fang; Fengjun Zhang; Li Yang; Chun Zuo Affiliation: 官方页面未列出 Official area / track: applications Recognition: Spotlight Keywords: Automated Code Review; Merge Request Analysis; Large Language Models (LLMs); Defect Detection; Evaluation Metrics for Code Review; Code Context Extraction; Mul…
3	Elucidating the Design Space of Multimodal Protein Language Models Authors: Cheng-Yen Hsieh; Xinyou Wang; Daiheng Zhang; Dongyu Xue; Fei Ye; Shujian Huang; Zaixiang Zheng; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Spotlight Keywords: Multimodal protein language model; structure tokenization; improved structure generative modeling; bitwise modeling; hybrid data-space modeling; structure-awar…
4	FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials Authors: Seung Yul Lee; Hojoon Kim; Yutack Park; Dawoon Jeong; Seungwu Han; Yeonhong Park; Jae W. Lee Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Spotlight Keywords: Equivariant neural networks; Tensor Product; Software libraries; Efficiency; Machine-learned interatomic potential (MLIP); Machine Learning Force Fields (MLFF)
5	Relational Invariant Learning for Robust Solvation Free Energy Prediction Authors: yeyunchen Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Spotlight Keywords: Molecule relational learning; graph neural network; out of distribution generalization
6	Rethink GraphODE Generalization within Coupled Dynamical System Authors: Guancheng Wan; Zijie Huang; Wanjia Zhao; Xiao Luo; Yizhou Sun; Wei Wang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Spotlight Keywords: Graph Machine Learning; GraphODE; Dynamical System
7	Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection Authors: Xiang Fang; Arvind Easwaran; Blaise Genest Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Adaptive Multi-prompt Contrastive Network
8	Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance Authors: Fan Li; Xuan Wang; Min Qi; Zhaoxiang Zhang; Yuelei Xu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: semantic segmentation; domain generalization; diffusion model
9	Efficient and Separate Authentication Image Steganography Network Authors: Junchao Zhou; Yao Lu; Jie Wen; Guangming Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Image Steganograhy; Invertible Neural Network; Authentication Mechanism
10	Flopping for FLOPs: Leveraging Equivariance for Computational Efficiency Authors: Georg Bökman; David Nordström; Fredrik Kahl Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Equivariance; efficiency; scalable; image classification; vision
11	FlowDrag: 3D-aware Drag-based Image Editing with Mesh-guided Deformation Vector Flow Fields Authors: Gwanhyeong Koo; Sunjae Yoon; Younghwan Lee; Ji Woo Hong; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Drag-based editing; Image editing; Diffusion model
12	InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective Authors: yuanhong zhang; Muyao Yuan; Weizhan Zhang; Tieliang Gong; Wen Wen; Jiangyong Ying; Weijie Shi Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Segment Anything Model; Parameter-efficient fine-tuning; Mutual information; Knowledge distillation
13	LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D Authors: Paul McVay; Sergio Arnaud; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berge… Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: self-supervised learning; object localization; referring expressions; 3D language grounding
14	LotteryCodec: Searching the Implicit Representation in a Random Network for Low-Complexity Image Compression Authors: Haotian Wu; Gongpu Chen; Pier Luigi Dragotti; Deniz Gunduz Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Implicit neural representation; source coding; overfitted image compression; lottery codec hypothesis; low-complexity image codec.
15	When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network Authors: Dong Xiao; Guangyao Chen; Peixi Peng; Yangru Huang; Yifan Zhao; Yongxing Dai; Yonghong Tian Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Spotlight Keywords: Anomaly Detection; Multimodal Network; Autonomous Driving
16	Bridging Layout and RTL: Knowledge Distillation based Timing Prediction Authors: Mingjun Wang; Yihan Wen; Bin Sun; Jianan Mu; Juan Li; Xiaoyi Wang; Jing Justin Ye; Bei Yu; Huawei Li Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Spotlight Keywords: 官方列表未公开
17	CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities Authors: Yuxuan Zhu; Antony Kellermann; Dylan Bowman; Philip Li; Akul Gupta; Adarsh Danda; Richard Fang; Conner Jensen; Eric Ihli; Jason Benn; Jet Geronimo; Avi Dhir; Sudhit Rao; Kaicheng… Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Spotlight Keywords: benchmark; cybersecurity; llm; agent
18	MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models Authors: Mahir Labib Dihan; MD Tanvir Hassan; MD TANVIR PARVEZ; Md Hasebul Hasan; Md Almash Alam; Muhammad Aamir Cheema; Mohammed Eunus Ali; Md Rizwan Parvez Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Spotlight Keywords: MapLLM; Map Query; Geo-Spatial Question Answering; Geo-Spatial Reasoning; Location Based Service; Google Maps
19	Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective Authors: Yujin Oh; Pengfei Jin; Sangjoon Park; Sekeun Kim; Siyeop yoon; Jin Sung Kim; Kyungsang Kim; Xiang Li; Quanzheng Li Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Fairness Learning; Medical Image Segmentation; Distribution; Optimal Control
20	Do Multiple Instance Learning Models Transfer? Authors: Daniel Shao; Richard J. Chen; Andrew H. Song; Joel Runevic; Ming Y. Lu; Tong Ding; Faisal Mahmood Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Multiple Instance Learning; Transfer Learning; Finetuning; Computational Pathology
21	Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation Authors: Alessandro Palma; Sergei Rybakov; Leon Hetzel; Stephan Günnemann; Fabian J Theis Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: scRNA-seq; Riemannian geometry; representation learning; trajectory inference; VAEs; statistical manifolds
22	From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models Authors: Etowah Adams; Liam Bai; Minji Lee; Yiyang Yu; Mohammed AlQuraishi Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: protein language model; sparse autoencoder; mechanistic interpretability; scientific discovery
23	HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation Authors: Tianwei Lin; Wenqiao Zhang; Sijing Li; Yuqian Yuan; Binhe Yu; Haoyuan Li; Wanggui He; Hao Jiang; Mengze Li; Song xiaohui; Siliang Tang; Jun Xiao; Hui Lin; Yueting Zhuang; Beng Chi… Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Medical Large Vision-Language Models; Multi-Modal Comprehension and Generation
24	P(all-atom) Is Unlocking New Path For Protein Design Authors: Wei Qu; Jiawei Guan; Rui Ma; kezhai; Weikun.Wu; Haobo Wang Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Proteins; Generative models; Co-design; All-atom
25	Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models Authors: Ulzee An; Moonseong Jeong; Simon Austin Lee; Aditya Gorla; Yuzhe Yang; Sriram Sankararaman Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Embedding; Volumes; Foundation model; Random projection; Compression; MRI; CT
26	Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Authors: Tinglin Huang; Tianyu Liu; Mehrtash Babadi; Wengong Jin; Rex Ying Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Spatial transcriptomics; histology images
27	Visual and Domain Knowledge for Professional-level Graph-of-Thought Medical Reasoning Authors: RINA BAO; Shilong Dong; Zhenfang Chen; Sheng He; Ellen Grant; Yangming Ou Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Medical; Medical Reasoning
28	scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data Authors: Olga Ovcharenko; Florian Barkmann; Philip Toma; Imant Daunhawer; Julia E Vogt; Sebastian Schelter; Valentina Boeva Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Spotlight Keywords: Benchmark; self-supervised learning; single-cell data; single-cell RNA sequencing; batch integration; augmentations; contrastive learning
29	Discovering Symbolic Cognitive Models from Human and Animal Behavior Authors: Pablo Samuel Castro; Nenad Tomasev; Ankit Anand; Navodita Sharma; Rishika Mohanta; Aparna Dev; Kuba Perlin; Siddhant Jain; Kyle Levin; Noemi Elteto; Will Dabney; Alexander Novikov… Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: cognitive modeling; cognitive science; neuroscience; psychology
30	Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry Authors: Chi-Ning Chou; Hang Le; Yichen Wang; SueYeon Chung Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: Neural manifold; feature learning; manifold capacity; representational geometry
31	Neural Encoding and Decoding at Scale Authors: Yizi Zhang; Yanchen Wang; Mehdi Azabou; Alexandre Andre; Zixuan Wang; Hanrui Lyu; International Brain Laboratory; Eva L Dyer; Liam Paninski; Cole Lincoln Hurwitz Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: neural coding; multimodal; multi-task; transformer; masked modeling; electrophysiology; neuroscience; brain region; Neuropixels
32	Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks Authors: Lukas Braun; Erin Grant; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: deep learning; representational similarity; representation learning; deep linear networks; neuroscience
33	Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream Authors: Abdulkadir Gokce; Martin Schrimpf Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: scaling laws; neural alignment; behavioral alignment; computer vision; primate visual ventral stream
34	SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation Authors: Jiayue Liu; Zhongchao Yi; Zhengyang Zhou; Qihe Huang; Kuo Yang; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Spotlight Keywords: NeuroAI; spatiotemporal learning; cross-domain adaptation
35	Latent Diffusion Planning for Imitation Learning Authors: Amber Xie; Oleh Rybkin; Dorsa Sadigh; Chelsea Finn Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Spotlight Keywords: imitation learning; diffusion; planning; robotics
36	Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations Authors: Yucheng Hu; Yanjiang Guo; Pengchao Wang; Xiaoyu Chen; Yen-Jen Wang; Jianke Zhang; Koushil Sreenath; Chaochao Lu; Jianyu Chen Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Spotlight Keywords: Robot policy learning; diffusion model; inverse dynamics model
37	TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Authors: Hyeongwon Jang; Changhun Kim; Eunho Yang Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Spotlight Keywords: Time Series; XAI; Explainability
38	TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting Authors: Qihe Huang; Zhengyang Zhou; Kuo Yang; Zhongchao Yi; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Spotlight Keywords: Time series forecasting
39	STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization Authors: Hao Li; Qi Lv; Rui Shao; Xiang Deng; Yinchuan Li; Jianye HAO; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Embodied AI; Robotics; Skill Learning
40	Where is the Truth? The Risk of Getting Confounded in a Continual World Authors: Florian Peter Busch; Roshni Ramanna Kamath; Rupert Mitchell; Wolfgang Stammer; Kristian Kersting; Martin Mundt Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Spotlight Keywords: Continual Learning; Confounding; Computer Vision; Shortcut Learning; Dataset
41	Implicit Language Models are RNNs: Balancing Parallelization and Expressivity Authors: Mark Schöne; Babak Rahmani; Heiner Kremer; Fabian Falck; Hitesh Ballani; Jannes Gladrow Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Spotlight Keywords: State-space models; deep equilibrium models; RNN; transformer; large-language models; sequence models; regular languages; Chomsky hierarchy
42	Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Authors: Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma; Kumar Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wa… Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Spotlight Keywords: position encodings for Transformers; RoPE; Robotics; translation-invariance; Lie algebra
43	Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger Authors: Qi Yang; Chenghao Zhang; Lubin Fan; Kun Ding; Jieping Ye; Shiming Xiang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Spotlight Keywords: Large Vision Language Model; Multimodal Retrieval-Augmented Generation; In-context Learning; Monte Carlo Tree Search
44	SAFE: Finding Sparse and Flat Minima to Improve Pruning Authors: Dongyeop Lee; Kwanhee Lee; Jinseok Chung; Namhoon Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Spotlight Keywords: Pruning; Constrained optimization; Sharpness minimization
45	Training Deep Learning Models with Norm-Constrained LMOs Authors: Thomas Pethick; Wanyun Xie; Kimon Antonakopoulos; Zhenyu Zhu; Antonio Silveti-Falls; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Spotlight Keywords: non-euclidean; linear minimization oracle; deep learning; spectral norm
46	Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion Authors: Binchi Zhang; Zaiyi Zheng; Zhengzhang Chen; Jundong Li Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Spotlight Keywords: Rotation Symmetry; Parameter Matching; Model Fusion; Transformers
47	Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs Authors: Greyson Brothers Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Spotlight Keywords: Pooling; Attention; Vector Quantization; AdaPool; Transformer; Robustness
48	Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development Authors: Daoyuan Chen; Haibin Wang; Yilun Huang; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Spotlight Keywords: Data Processing; Multimodal Large Models; Sandbox
49	Learning to (Learn at Test Time): RNNs with Expressive Hidden States Authors: Yu Sun; Xinhao Li; Karan Dalal; Jiarui Xu; Arjun Vikram; Genghan Zhang; Yann Dubois; Xinlei Chen; Xiaolong Wang; Sanmi Koyejo; Tatsunori Hashimoto; Carlos Guestrin Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Spotlight Keywords: test-time training
50	Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator Authors: Kaiwen Zheng; Yongxin Chen; Huayu Chen; Guande He; Ming-Yu Liu; Jun Zhu; Qinsheng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Diffusion Models; Visual Autoregressive Models; GAN; Generation Quality
51	Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts Authors: Marta Skreta; Tara Akhound-Sadegh; Viktor Ohanesian; Roberto Bondesan; Alan Aspuru-Guzik; Arnaud Doucet; Rob Brekelmans; Alexander Tong; Kirill Neklyudov Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: diffusion models; Sequential Monte Carlo; classifier-free guidance; product of experts; annealing
52	Geometric Representation Condition Improves Equivariant Molecule Generation Authors: Zian Li; Cai Zhou; Xiyuan Wang; Xingang Peng; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: molecule generation; equivariant generative models; representation; geometric deep learning; diffusion models
53	Improving Consistency Models with Generator-Augmented Flows Authors: Thibaut Issenhuth; Sangchul Lee; Ludovic Dos Santos; Jean-Yves Franceschi; Chansoo Kim; Alain Rakotomamonjy Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Consistency Models
54	MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding Authors: Zhicheng Zhang; Wuyou Xia; Chenxi Zhao; Zhou Yan; Xiaoqiang Liu; Yongjie Zhu; Wenyu Qin; Pengfei Wan; Di ZHANG; Jufeng Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: emotion; attention; multimodal large language model; large language model
55	Masked Autoencoders Are Effective Tokenizers for Diffusion Models Authors: Hao Chen; Yujin Han; Fangyi Chen; Xiang Li; Yidong Wang; Jindong Wang; Ze Wang; Zicheng Liu; Difan Zou; Bhiksha Raj Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Diffusion Models; Autoencoders; Masked Autoencoders
56	On the Guidance of Flow Matching Authors: Ruiqi Feng; Chenglei Yu; Wenhao Deng; Peiyan Hu; Tailin Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: flow matching; guided generation; generative modeling
57	Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions Authors: Tejas Jayashankar; Jongha Jon Ryu; Gregory W. Wornell Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: one-step generation; skew Jensen-Shannon Divergence; diffusion models; score estimation
58	Towards a Mechanistic Explanation of Diffusion Model Generalization Authors: Matthew Niedoba; Berend Zwartsenberg; Kevin Patrick Murphy; Frank Wood Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Diffusion Models; Generalization; Diffusion; Generative Modelling
59	Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes Authors: Dongjae Jeon; Dueun Kim; Albert No Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Diffusion Model; Memorization; Sharpness Aware
60	UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control Authors: Kaizhen Zhu; Mokai Pan; Yuexin Ma; Yanwei Fu; Jingyi Yu; Jingya Wang; Ye Shi Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Spotlight Keywords: Diffusion bridge; Doob's h-transform; Stochastic optimal control
61	Covered Forest: Fine-grained generalization analysis of graph neural networks Authors: Antonis Vasileiou; Ben Finkelshtein; Floris Geerts; Ron Levie; Christopher Morris Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: MPNNs; generalization; bounds; theory; Weisfeiler; Leman; Lehman
62	Do We Really Need Message Passing in Brain Network Modeling? Authors: Liang Yang; Yuwei Liu; Jiaming Zhuo; Di Jin; Chuan Wang; Zhen Wang; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: graph neural networks; message passing; brain network; quadratic network
63	G-Adaptivity: optimised graph-based mesh relocation for finite element methods Authors: James Rowbottom; Georg Maierhofer; Teo Deveney; Eike Hermann Müller; Alberto Paganini; Katharina Schratz; Pietro Lio; Carola-Bibiane Schönlieb; Chris Budd Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: Mesh Adaptation; r-Adaptivity; Monge–Ampere; Deep Learning; Finite Element Methods; Partial Differential Equations; Neural Network; Graph Neural Networks
64	G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks Authors: Guibin Zhang; Yanwei Yue; Xiangguo Sun; Guancheng Wan; Miao Yu; Junfeng Fang; Kun Wang; Tianlong Chen; Dawei Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: Multi-agent communication; Graph machine learning; LLM-based agent
65	Geometric Hyena Networks for Large-scale Equivariant Learning Authors: Artem Moskalev; Mangal Prakash; Junjie Xu; Tianyu Cui; Rui Liao; Tommaso Mansi Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: large molecule; equivariance; global context; long context; long convolution; scalability; memory efficient; mechanistic interpretability; architecrture
66	Graph Adaptive Autoregressive Moving Average Models Authors: Moshe Eliasof; Alessio Gravina; Andrea Ceni; Claudio Gallicchio; Davide Bacciu; Carola-Bibiane Schönlieb Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: Graph Neural Networks; Auto-regressive Moving Average
67	Primal-Dual Neural Algorithmic Reasoning Authors: Yu He; Ellen Vitercik Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Spotlight Keywords: Neural algorithmic reasoning; graph neural networks
68	Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models Authors: Yinhong Liu; Zhijiang Guo; Tianya Liang; Ehsan Shareghi; Ivan Vulić; Nigel Collier Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: LLMs; logical consistency; order consistency; transitivity
69	An Analysis for Reasoning Bias of Language Models with Small Initialization Authors: Junjie Yao; Zhongwang Zhang; Zhi-Qin John Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: initialization scale; reasoning bias; language model; embedding space; training dynamics
70	Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety Authors: Zihan Guan; Mengxuan Hu; Ronghang Zhu; Sheng Li; Anil Vullikanti Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Fine-tuning; Safety Alignment; Data Selection
71	Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models Authors: Yiyang Fang; Jian Liang; Wenke Huang; He Li; Kehua Su; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Multimodal Large Language Models; Emotion Recognition; Training-Free
72	DPO Meets PPO: Reinforced Token Optimization for RLHF Authors: Han Zhong; Zikang Shan; Guhao Feng; Wei Xiong; Xinle Cheng; Li Zhao; Di He; Jiang Bian; Liwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: RLHF; PPO; sample efficiecncy
73	Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective Authors: Weizhong Huang; Yuxin Zhang; Xiawu Zheng; Fei Chao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Large language models; Network Sparsity; Layerwise sparsity
74	Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective Authors: Seungwook Han; Jinyeop Song; Jeff Gore; Pulkit Agrawal Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: in context learning; task vectors; mechanistic interpretability
75	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition Authors: Zheyang Xiong; Ziyang Cai; John Cooper; Albert Ge; Vasilis Papageorgiou; Zack Sifakis; Angeliki Giannou; Ziqian Lin; Liu Yang; Saurabh Agarwal; Grigorios Chrysos; Samet Oymak; Kan… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: task superposition; in-context learning
76	From Language Models over Tokens to Language Models over Characters Authors: Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: tokenization; character; bytes; tokens; language models; probabilistic reasoning; probabilistic inference
77	Great Models Think Alike and this Undermines AI Oversight Authors: Shashwat Goel; Joschka Strüber; Ilze Amanda Auzina; Karuna K Chandra; Ponnurangam Kumaraguru; Douwe Kiela; Ameya Prabhu; Matthias Bethge; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Model Similarity; AI Oversight; LLM as a Judge; Weak to Strong Generalization; Model Differences
78	Independence Tests for Language Models Authors: Sally Zhu; Ahmed M Ahmed; Rohith Kuditipudi; Percy Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: language models; finetuning; fingerprinting
79	Investigating Non-Transitivity in LLM-as-a-Judge Authors: Yi Xu; Laura Ruis; Tim Rocktäschel; Robert Kirk Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: LLM-as-a-Judge; transitivity; pairwise comparison
80	Language Models May Verbatim Complete Text They Were Not Explicitly Trained On Authors: Ken Liu; Christopher A. Choquette-Choo; Matthew Jagielski; Peter Kairouz; Sanmi Koyejo; Percy Liang; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Training data membership; data completion; data reconstruction; membership inference; unlearning; privacy; training set inclusion; copyright
81	Learning Safety Constraints for Large Language Models Authors: Xin Chen; Yarden As; Andreas Krause Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Constraint learning; LLM Safety/Alignment
82	Mastering Board Games by External and Internal Planning with Language Models Authors: John Schultz; Jakub Adamek; Matej Jusup; Marc Lanctot; Michael Kaisers; Sarah Perrin; Daniel Hennes; Jeremy Shar; Cannada A. Lewis; Anian Ruoss; Tom Zahavy; Petar Veličković; Laur… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: search; planning; language models; games; chess
83	Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization Authors: Phillip Huang Guo; Aaquib Syed; Abhay Sheshadri; Aidan Ewart; Gintare Karolina Dziugaite Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Model Editing; Unlearning; Mechanistic Interpretability; Localization; Adversarial Robustness
84	Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance Authors: Linxi Zhao; Yihe Deng; Weitong Zhang; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Large Vision-Language Models; Object Hallucination; Multi-modal LLMs
85	Multi-Turn Code Generation Through Single-Step Rewards Authors: Arnav Kumar Jain; Gonzalo Gonzalez-Pumariega; Wayne Chen; Alexander M Rush; Wenting Zhao; Sanjiban Choudhury Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Code Generation; Language Models; Reinforcement Learning
86	Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner Authors: Chunhui Zhang; Zhongyu Ouyang; Kwonjoon Lee; Nakul Agarwal; Sean Dae Houlihan; Soroush Vosoughi; Shao-Yuan Lo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Theory-of-mind; neuro-symbolic concept; long-form planning
87	PANDAS: Improving Many-shot Jailbreaking via Positive Affirmation, Negative Demonstration, and Adaptive Sampling Authors: Avery Ma; Yangchen Pan; Amir-massoud Farahmand Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: jailbreaking; long-context LLMs; in-context learning
88	RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding Authors: Guanzheng Chen; Qilong Feng; Jinjie Ni; Xin Li; Michael Qizhe Shieh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Speculative Decoding; Long-Context LLM; RAG
89	RE-Bench: Evaluating Frontier AI R&D Capabilities of Language Model Agents against Human Experts Authors: Hjalmar Wijk; Tao Roa Lin; Joel Becker; Sami Jawhar; Neev Parikh; Thomas Broadley; Lawrence Chan; Michael Chen; Joshua M Clymer; Jai Dhyani; Elena Ericheva; Katharyn Garcia; Brian… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Machine Learning; LLM evaluations; Agents; AI R&D; Benchmarks
90	RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning Authors: Jonas Gehring; Kunhao Zheng; Jade Copet; Vegard Mella; Taco Cohen; Gabriel Synnaeve Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: large language models; multi-turn code generation; reinforcement learning; LLM agents
91	ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals Authors: Utkarsh Saxena; Sayeh Sharify; Kaushik Roy; Xin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: quantization; large language models; low precision computation; kv cache compression; efficient language models
92	Scaling Test-Time Compute Without Verification or RL is Suboptimal Authors: Amrith Setlur; Nived Rajaraman; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: LLMs; test-time compute; verification; RL; finetuning; reasoning; RL theory
93	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference Authors: Hanshi Sun; Li-Wen Chang; Wenlei Bao; Size Zheng; Ningxin Zheng; Xin Liu; Harry Dong; Yuejie Chi; Beidi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Long-Context LLMs; Inference; KV Cache Optimization
94	Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration Authors: Qinglin Zhu; Runcong Zhao; Hanqi Yan; Yulan He; Yudong Chen; Lin Gui Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Large Language Models; Reasoning; Embedding Perturbation; Bayesian Optimisation
95	Taming Knowledge Conflicts in Language Models Authors: Gaotang Li; Yuzhong Chen; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Knowledge Conflict; Mechanistic Interpretability; Science of Large Language Models
96	The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data Authors: Thomas Pouplin; Kasia Kobalczyk; Hao Sun; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: Large Language Models; Goal-conditioned policy; Offline policy learning; Decision Making Agent; Goals generalization; Domain generalization
97	Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems Authors: Shaokun Zhang; Ming Yin; Jieyu Zhang; Jiale Liu; Zhiguang Han; Jingyang Zhang; Beibin Li; Chi Wang; Huazheng Wang; Yiran Chen; Qingyun Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Spotlight Keywords: failure attribution; multi-agent systems.
98	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation Authors: Yupeng Hou; Jianmo Ni; Zhankui He; Noveen Sachdeva; Wang-Cheng Kang; Ed H. Chi; Julian McAuley; Derek Zhiyuan Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Spotlight Keywords: Generative Recommendation; Action Tokenization
99	CoPINN: Cognitive Physics-Informed Neural Networks Authors: Siyuan Duan; Wenyuan Wu; Peng Hu; Zhenwen Ren; Dezhong Peng; Yuan Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Spotlight Keywords: Physical informed neural network; Self-paced learning; Separable learning.
100	Functional Alignment Can Mislead: Examining Model Stitching Authors: Damian Smith; Harvey Mannering; Antonia Marcu Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Spotlight Keywords: stitching; model comparison; representation comparison; representation alignment; functional alignment; functional similarity
101	TabFlex: Scaling Tabular Learning to Millions with Linear Attention Authors: Yuchen Zeng; Tuan Dinh; Wonjun Kang; Andreas C Mueller Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Spotlight Keywords: Tabular Classification; Transformer; State-Space Models; Linear Attention; Scalability
102	Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss Authors: Bo-Han Lai; Pin-Han Huang; Bo-Han Kung; Shang-Tse Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Spotlight Keywords: Certified robustness; Adversarial
103	Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices Authors: Junhao Dong; Piotr Koniusz; Yifei Zhang; Hao Zhu; Weiming Liu; Xinghua Qu; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Spotlight Keywords: Vision-Language Models; Adversarial Examples; Zero-Shot Classification
104	No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Authors: Attila Szász; Balázs Bánhelyi; Márk Jelasity Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Spotlight Keywords: sound verification; floating point computation; interval analysis
105	SDP-CROWN: Efficient Bound Propagation for Neural Network Verification with Tightness of Semidefinite Programming Authors: Hong-Ming Chiu; Hao Chen; Huan Zhang; Richard Y. Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Spotlight Keywords: neural network verification; convex optimization; semidefinite programming
106	When and How Does CLIP Enable Domain and Compositional Generalization? Authors: Elias Kempf; Simon Schrodi; Max Argus; Thomas Brox Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Spotlight Keywords: CLIP; Compositional Generalization; Domain Generalization; Out-of-Distribution Robustness; OOD generalization
107	$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Authors: Xingjian Wu; Xiangfei Qiu; Hongfan Gao; Jilin Hu; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Spotlight Keywords: Time Series Probabilistic Forecasting
108	Learning Soft Sparse Shapes for Efficient Time-Series Classification Authors: Zhen Liu; Yicheng Luo; Boyuan Li; Emadeldeen Eldele; Min Wu; Qianli Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Spotlight Keywords: deep learning; time series classification; shapelets; interpretability
109	Non-stationary Diffusion For Probabilistic Time Series Forecasting Authors: Weiwei Ye; Zhuopeng Xu; Ning Gui Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Spotlight Keywords: Probabilistic Time Series Forecasting; Denoising Diffusion Process Model; Non-stationary Forecasting
110	Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Authors: Yu Xin Li; Felix Dangel; Derek Tam; Colin Raffel Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Spotlight Keywords: Fisher; optimizers; gradient accumulators
111	Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It Authors: Marvin F. da Silva; Felix Dangel; Sageev Oore Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Spotlight Keywords: generalization; symmetry; sharpness; flatness; riemannian geometry; loss landscape
112	Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime Authors: Diyuan Wu; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Spotlight Keywords: neural collapse; mean-field analysis; gradient flow; generalization error; loss landscape
113	On the Power of Context-Enhanced Learning in LLMs Authors: Xingyu Zhu; Abhishek Panigrahi; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Spotlight Keywords: In-Context Learning; Sample Efficiency; Knowledge Internalization; Privileged Information; Multi-step reasoning
114	Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate Authors: Yingzhen Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Spotlight Keywords: Nonparametric Regression; Over-Parameterized Neural Network; Gradient Descent; Minimax Optimal Rate
115	Discovering a Zero (Zero-Vector Class of Machine Learning) Authors: Harikrishna Metta; Venkatesh Babu Radhakrishnan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Metta; Metta-Class; Metta Class; Machine Learning; ICML; Class Vector; Class Tensor Equation; Class Integration; Repository of Classes; Continual Learning; Cla…
116	FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Authors: Yichen Li; Yuying Wang; Haozhao Wang; Yining Qi; Tianzhe Xiao; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Spotlight Keywords: Federated Learning; Continual Federated Learning; Data Heterogeneity
117	Causal Attribution Analysis for Continuous Outcomes Authors: Shanshan Luo; Yu yixuan; Chunchen LIU; Feng Xie; Zhi Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: Attribution analysis; Causes of effects; Continuous outcome; Posterior causal estimands.
118	Counterfactual Graphical Models: Constraints and Inference Authors: Juan D. Correa; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: Counterfactual inference; Graphical Models; Constraints
119	Exogenous Isomorphism for Counterfactual Identifiability Authors: Yikang Chen; Dehui du Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: causality; causal inference; counterfactual identifiability
120	Identifying Causal Direction via Variational Bayesian Compression Authors: Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: causal discovery; neural networks; variational Bayesian code
121	Local Identifying Causal Relations in the Presence of Latent Variables Authors: Zheng Li; Zeyu Liu; Feng Xie; Hao Zhang; Chunchen LIU; Zhi Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: Causal Discovery; Latent Variable; Local Method; Causal Relationship; Markov Blanket
122	Stronger Neyman Regret Guarantees for Adaptive Experimental Design Authors: Georgy Noarov; Riccardo Fogliato; Martin Andres Bertran; Aaron Roth Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Spotlight Keywords: ATE; treatment effect; adaptive experimental design; efficient causal inference; Neyman; regret
123	Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios Authors: Xihong Yang; Siwei Wang; Fangdi Wang; Jiaqi Jin; Suyuan Liu; Yue Liu; En Zhu; Xinwang Liu; Yueming Jin Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Spotlight Keywords: Multi-view Clustering; Contrastive Learning; Noisy Scenarios
124	Signed Laplacians for Constrained Graph Clustering Authors: John Stewart Fabila Carrasco; He Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Spotlight Keywords: signed Laplacians; constrained clustering; Cheeger inequality
125	Is Complex Query Answering Really Complex? Authors: Cosimo Gregucci; Bo Xiong; Daniel Hernández; Lorenzo Loconte; Pasquale Minervini; Steffen Staab; Antonio Vergari Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Spotlight Keywords: complex query answering; knowledge graphs; multi-hop reasoning; neuro-symbolic
126	MCU: An Evaluation Framework for Open-Ended Game Agents Authors: Xinyue Zheng; Haowei Lin; Kaichen He; Zihao Wang; QIANG FU; Haobo Fu; Zilong Zheng; Yitao Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Spotlight Keywords: benchmark; automatic evaluation; agent
127	Robust ML Auditing using Prior Knowledge Authors: Jade Garcia Bourrée; Augustin Godinot; Sayan Biswas; Anne-Marie Kermarrec; Erwan Le Merrer; Gilles Tredan; Martijn de Vos; Milos Vujasinovic Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Spotlight Keywords: ML audit; ML theory; fairness; fairwashing
128	am-ELO: A Stable Framework for Arena-based LLM Evaluation Authors: Zirui Liu; Jiatong Li; Yan Zhuang; Qi Liu; Shuanghong Shen; Jie Ouyang; Mingyue Cheng; Shijin Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Spotlight Keywords: Large Language Models; Evaluation; Chatbot Arena; ELO Rating System
129	Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures Authors: Dongzhe Zheng; Wenjie Mei Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Spotlight Keywords: Learning dynamics; environmental constraints; geometric framework; control barrier functions
130	Nonparametric Teaching for Graph Property Learners Authors: Chen Zhang; Weixin Bu; Zeyi Ren; Zhengwu Liu; Yik Chung WU; Ngai Wong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Spotlight Keywords: Nonparametric Teaching; Graph Property Learning; Functional Gradient Descent
131	Towards Robustness and Explainability of Automatic Algorithm Selection Authors: Xingyu Wu; Jibin Wu; Yu Zhou; Liang Feng; KC Tan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Spotlight Keywords: algorithm selection; algorithm feature; AutoML; causal learning; causality; directed acyclic graph
132	Learning with Exact Invariances in Polynomial Time Authors: Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Spotlight Keywords: Learning with Invariances; Kernels; Spectral Theory
133	GMAIL: Generative Modality Alignment for generated Image Learning Authors: Shentong Mo; Sukmin Yun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Spotlight Keywords: diffusion models; generated visual learning; vision-language models
134	Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws Authors: Xiyuan Wei; Ming Lin; Fanjiang Ye; Fengguang Song; Liangliang Cao; My T. Thai; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Spotlight Keywords: Contrastive Learning; Multimodal Learning; Distributionally Robust Optimization; CLIP; Foundation Model
135	Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum Authors: Haoyang Li; Xin Wang; Zeyang Zhang; Zongyuan Wu; Linxin Xiao; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Spotlight Keywords: Curriculum Learning
136	Generalized Random Forests Using Fixed-Point Trees Authors: David Fleischer; David A. Stephens; Archer Y. Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: Generalized Random Forests; Fixed-Point Methods; Ensemble Methods; Causal Inference; Computational Efficiency
137	Instance Correlation Graph-based Naive Bayes Authors: Chengyuan Li; Liangxiao Jiang; Wenjun Zhang; Liangjun Yu; Huan Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: Naive Bayes; Numerical attribute; Instance correlation graph; Variational graph auto-encoder
138	Prediction models that learn to avoid missing values Authors: Lena Stempfle; Anton Matsson; Newton Mwai; Fredrik D. Johansson Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: Missing values; interpretablity; boosting; decision trees; rule-based methods
139	Robust Automatic Modulation Classification with Fuzzy Regularization Authors: Xinyan Liang; Ruijie Sang; Yuhua Qian; Qian Guo; Feijiang Li; Liang Du Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: Robustness; Fuzzy Regularization; Automatic Modulation Classification
140	TLLC: Transfer Learning-based Label Completion for Crowdsourcing Authors: Wenjun Zhang; Liangxiao Jiang; Chaoqun Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: Crowdsourcing learning; Label Completion; Worker modeling; Transfer Learning
141	Trusted Multi-View Classification with Expert Knowledge Constraints Authors: Xinyan Liang; Shijie Wang; Yuhua Qian; Qian Guo; Liang Du; Bingbing Jiang; Tingjin Luo; Feijiang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Spotlight Keywords: multi-view classification; trusted multi-view classification; trusted fusion; distribution-aware subjective opinion
142	Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation Authors: Jintao Tong; Ran Ma; Yixiong Zou; Guangyao Chen; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Spotlight Keywords: Decouple; Cross-Domain; Few-Shot; Segmentation
143	Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning Authors: Shuai Yi; Yixiong Zou; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Spotlight Keywords: Cross-Domain Few-Shot Learning
144	Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting Authors: Sunny Sanyal; Hayden Prairie; Rudrajit Das; Ali Kavis; Sujay Sanghavi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Spotlight Keywords: Catastrophic Forgetting; Sample Weighting; Fine-tuning; Pre-trained
145	CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation Authors: Aditya Gorla; Ryan Wang; Zhengtong Liu; Ulzee An; Sriram Sankararaman Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Spotlight Keywords: Tabular data imputation; Inductive bias; Context awareness; Data-driven masking
146	Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection Authors: Jinyu Cai; Yunhe Zhang; Fusheng Liu; See-Kiong Ng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Spotlight Keywords: Anomaly Detection; Diffusion Model; Graph Neural Network
147	Weakly-Supervised Contrastive Learning for Imprecise Class Labels Authors: Zi-Hao Zhou; Jun-Jie Wang; Tong Wei; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Spotlight Keywords: Weakly-supervised learning; Contrastive learning; Noisy label learning; Partial label learning
148	Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization Authors: Zhangyi Liu; Feng Liu; Rui Gao; Shuang Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: mean-field Langevin dynamics; minimax optimization; Wasserstein gradient flow
149	Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance Authors: Lisha Chen; Quan Xiao; Ellen Hidemi Fukuda; Xinyi Chen; Kun Yuan; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Spotlight Keywords: multi-objective optimization; optimization on the Pareto set; semivectorial bilevel optimization
150	Discrepancy Minimization in Input-Sparsity Time Authors: Yichuan Deng; Xiaoyu Li; Zhao Song; OMRI WEINSTEIN Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Spotlight Keywords: combinatorial optimization; algorithmic discrepancy theory; sketching; input-sparsity time
151	Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems Authors: Huigen Ye; Hua Xu; An Yan; Yaoyang Cheng Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Spotlight Keywords: Mixed Integer Linear Programming; Large Neighborhood Search; Large Language Model
152	Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks Authors: Liyuan Liang; Xinyi Chen; Gan Luo; Kun Yuan Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Spotlight Keywords: decentralized optimization; stochastic optimization; non-convex; row stochastic network
153	On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning Authors: Yi-Rui Yang; Chang-Wei Shi; Wu-Jun Li Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Spotlight Keywords: distributed machine learning; Byzantine robustness; robust aggregation
154	Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints Authors: Ruichuan Huang; Jiawei Zhang; Ahmet Alacaoglu Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Spotlight Keywords: primal-dual algorithms; stochastic optimization; single-loop algorithms; linear inequality constraints
155	Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? Authors: Guiomar Pescador-Barrios; Sarah Lucie Filippi; Mark van der Wilk Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: continual learning; gaussian processes; adaptive model capacity; variational inference; inducing points; sparse approximations; bayesian nonparametrics
156	Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets Authors: Charita Dellaporta; Patrick O'Hara; Theodoros Damoulas Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Distributional Robustness; Bayesian Inference; Stochastic Optimisation
157	Doubly Robust Conformalized Survival Analysis with Right-Censored Data Authors: Matteo Sesia; Vladimir Svetnik Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: Conformal inference; Survival analysis; Uncertainty Estimation
158	Gridded Transformer Neural Processes for Spatio-Temporal Data Authors: Matthew Ashman; Cristiana Diaconu; Eric Langezaal; Adrian Weller; Richard E. Turner Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Spotlight Keywords: neural process; probabilistic machine learning; transformer; spatio-temporal data; spatio-temporal modelling; translation equivariance
159	Linearization Turns Neural Operators into Function-Valued Gaussian Processes Authors: Emilia Magnani; Marvin Pförtner; Tobias Weber; Philipp Hennig Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Spotlight Keywords: Neural Operators; Uncertainty Quantification; Bayesian Deep Learning; Gaussian Processes; Partial Differential Equations
160	Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Authors: Matteo Zecchin; Sangwoo Park; Osvaldo Simeone Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Spotlight Keywords: Calibration; Learn-then-Test; Hyperparameter Selection
161	New Bounds for Sparse Variational Gaussian Processes Authors: Michalis Titsias Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Spotlight Keywords: Sparse variational Gaussian process; new collapsed bound
162	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces Authors: Henry Moss; Sebastian W. Ober; Tom Diethe Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Spotlight Keywords: Bayesian Optimisation
163	Efficiently Vectorized MCMC on Modern Accelerators Authors: Hugh Dance; Pierre Glaser; Peter Orbanz; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Spotlight Keywords: Markov Chain Monte Carlo; MCMC; Parallel Computing
164	Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models Authors: Huanjian Zhou; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Spotlight Keywords: parallel sampling; log-concave sampling; diffusion model
165	Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework Authors: Terje Mildner; Oliver Hamelijnck; Paris Giampouras; Theodoros Damoulas Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Spotlight Keywords: Federated Learning; Probabilistic Machine Learning; Model Misspecification; Robustness; Generalised Variational Inference
166	Continual Reinforcement Learning by Planning with Online World Models Authors: Zichen Liu; Guoji Fu; Chao Du; Wee Sun Lee; Min Lin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: model-based rl; continual rl; online learning; incremental learning; catastrophic forgetting
167	Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data Authors: Jeonghye Kim; Yongjae Shin; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngchul Sung; Kanghoon Lee; Woohyung Lim Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Offline-to-Online Reinforcement Learning; Offline Reinforcement Learning; Penalizing Infeasible Actions; Layer Normalization; Reward Scaling​
168	Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning Authors: Zhenghai Xue; Lang Feng; Jiacheng Xu; Kang Kang; Xiang Wen; Bo An; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Spotlight Keywords: Reinforcement Learning; Policy Transfer; Dynamics Shift; Policy Regularization
169	Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning Authors: Armin Behnamnia; Gholamali Aminian; Alireza Aghaei; Chengchun Shi; Vincent Y. F. Tan; Hamid R. Rabiee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Spotlight Keywords: off-policy learning; off-policy evaluation; log sum exponential; regret bound; estimation bound; concentration; bias and variance; robustness; heavy-tailed rew…
170	Hyperspherical Normalization for Scalable Deep Reinforcement Learning Authors: Hojoon Lee; Youngdo Lee; Takuma Seno; Donghu Kim; Peter Stone; Jaegul Choo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Spotlight Keywords: reinforcement learning; normalization
171	LipsNet++: Unifying Filter and Controller into a Policy Network Authors: Xujie Song; Liangfa Chen; Tong Liu; Wenxuan Wang; Yinuo Wang; Shentao Qin; Yinsong Ma; Jingliang Duan; Shengbo Eben Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Spotlight Keywords: Deep Reinforcement Learning; Policy Network Design; Action Fluctuation; Control Smoothness and Robustness
172	Policy-labeled Preference Learning: Is Preference Enough for RLHF? Authors: Taehyun Cho; Seokhun Ju; Seungyub Han; Dohyeong Kim; Kyungjae Lee; Jungwoo Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Spotlight Keywords: Reinforcement Learning from Human Feedback; Direct Preference Optimization; Regret Minimization
173	Ad-Hoc Human-AI Coordination Challenge Authors: Tin Dizdarević; Ravi Hammond; Tobias Gessler; Anisoara Calinescu; Jonathan Cook; Matteo Gallici; Andrei Lupu; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Spotlight Keywords: multi-agent reinforcement learning; reinforcement learning; multi-agent systems; human-ai coordination; cooperative; challenge paper
174	Graph Diffusion for Robust Multi-Agent Coordination Authors: Xianghua Zeng; Hang Su; Zhengyi Wang; Zhiyuan LIN Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Spotlight Keywords: multi-agent coordination; offline reinforcement learning; diffusion models
175	PokéChamp: an Expert-level Minimax Language Agent Authors: Seth Karten; Andy Luu Nguyen; Chi Jin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Spotlight Keywords: multi-agent systems; LLM Agents; competitive games; partially observable; test-time compute; pokemon
176	Novelty Detection in Reinforcement Learning with World Models Authors: Geigh Zollicoffer; Kenneth Eaton; Jonathan C Balloch; Julia Kim; Wei Zhou; Robert Wright; Mark Riedl Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Spotlight Keywords: Anomaly Detection; Safety Mechanisms
177	Monte Carlo Tree Diffusion for System 2 Planning Authors: Jaesik Yoon; Hyeonseo Cho; Doojin Baek; Yoshua Bengio; Sungjin Ahn Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Spotlight Keywords: Diffusion; MCTS; Long-term Planning; Offline RL; Goal-conditioned RL; Inference-Time Scaling
178	Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport Authors: Tuan Quang Dam; Pascal Stenger; Lukas Schneider; Joni Pajarinen; Carlo D'Eramo; Odalric-Ambrym Maillard Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Spotlight Keywords: Monte-Carlo Tree Search; Planning under Uncertainty
179	AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders Authors: Zhengxuan Wu; Aryaman Arora; Atticus Geiger; Zheng Wang; Jing Huang; Dan Jurafsky; Christopher D Manning; Christopher Potts Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Spotlight Keywords: LLMs; Interpretability; Sparse Autoencoders; Dictionary Learning
180	Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models Authors: Saketh Bachu; Erfan Shayegani; Rohit Lal; Trishna Chakraborty; Arindam Dutta; Chengyu Song; Yue Dong; Nael B. Abu-Ghazaleh; Amit Roy-Chowdhury Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Spotlight Keywords: Vision Language Models; Safety Alignment; Reinforcement Learning from Human Feedback (RLHF)
181	A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO Authors: Xingyu Zhou; Yulian Wu; Francesco Orabona Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: Differential Privacy; LLM Alignment; Robustness
182	Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization Authors: Xiuyuan Wang; Chaochao Chen; Weiming Liu; Xinting Liao; Fan Wang; Xiaolin Zheng Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: source-free unlearning; machine unlearning; unlearn
183	Lightweight Protocols for Distributed Private Quantile Estimation Authors: Anders Aamand; Fabrizio Boninsegna; Abigail Gentle; Jacob Imola; Rasmus Pagh Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: local differential privacy; adaptive algorithms; quantiles; shuffle model
184	PASS: Private Attributes Protection with Stochastic Data Substitution Authors: Yizhuo Chen; Chun-Fu Chen; Hsiang Hsu; Shaohan Hu; Tarek F. Abdelzaher Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: Privacy Protection; Utility Preservation; Information Theory
185	PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Authors: Jianqing Zhang; Yang Liu; JIE FU; Yang Hua; Tianyuan Zou; Jian Cao; Qiang Yang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: synthetic data generation; differential privacy; evolution algorithm
186	Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting Authors: Jan Schuchardt; Mina Dalirrooyfard; Jed Guzelkabaagac; Anderson Schneider; Yuriy Nevmyvaka; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Spotlight Keywords: Differential Privacy; Privacy Amplification; Privacy Accounting; Time Series; Forecasting
187	Not All Wrong is Bad: Using Adversarial Examples for Unlearning Authors: Ali Ebrahimpour-Boroojeny; Hari Sundaram; Varun Chandrasekaran Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Spotlight Keywords: Machine Unlearning; Adversarial example; Fine-tuning
188	Optimizing Adaptive Attacks against Watermarks for Language Models Authors: Abdulrahman Diaa; Toluwani Aremu; Nils Lukas Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Spotlight Keywords: watermarking; language models; robustness; adaptive attacks
189	Scaling Trends in Language Model Robustness Authors: Nikolaus H. R. Howe; Ian R. McKenzie; Oskar John Hollinsworth; Michał Zając; Tom Tseng; Aaron David Tucker; Pierre-Luc Bacon; Adam Gleave Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Spotlight Keywords: ai safety; language models; scaling laws; adversarial attacks; adversarial training; robustness
190	The Jailbreak Tax: How Useful are Your Jailbreak Outputs? Authors: Kristina Nikolić; Luze Sun; Jie Zhang; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Spotlight Keywords: large language models; LLMs; jailbreaks; benchmark; utility
191	BaxBench: Can LLMs Generate Correct and Secure Backends? Authors: Mark Vero; Niels Mündler; Victor Chibotaru; Veselin Raychev; Maximilian Baader; Nikola Jovanović; Jingxuan He; Martin Vechev Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Spotlight Keywords: large language model; large language models; LLM; code generation; code security; security; benchmark
192	Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Authors: Gaozheng Pei; Ke Ma; Yingfei Sun; Qianqian Xu; Qingming Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Spotlight Keywords: Adversarial Purification
193	Algorithms with Calibrated Machine Learning Predictions Authors: Judy Hanwen Shen; Ellen Vitercik; Anders Wikum Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: calibration; algorithms with predictions; uncertainty quantification; ski rental; job scheduling
194	Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions Authors: Fabiola Ricci; Lorenzo Bardone; Sebastian Goldt Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: independent component analysis; stochastic gradient descent; FastICA
195	Towards Better-than-2 Approximation for Constrained Correlation Clustering Authors: Andreas Kalavas; Evangelos Kipouridis; Nithin Varma Affiliation: 官方页面未列出 Official area / track: theory Recognition: Spotlight Keywords: Clustering; Constrained Correlation Clustering; Approximation
196	On the Benefits of Active Data Collection in Operator Learning Authors: Unique Subedi; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: theory->active_learning_and_interactive_learning Recognition: Spotlight Keywords: Operator Learning; Active Learning; PDEs
197	Probabilistic Factorial Experimental Design for Combinatorial Interventions Authors: Divya Shyamal; Jiaqi Zhang; Caroline Uhler Affiliation: 官方页面未列出 Official area / track: theory->active_learning_and_interactive_learning Recognition: Spotlight Keywords: Experimental Design; Factorial Experiment; Combinatorial Interventions
198	A Closer Look at Multimodal Representation Collapse Authors: Abhra Chaudhuri; Anjan Dutta; Tu Bui; Serban Georgescu Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Spotlight Keywords: Multimodal learning; modality collapse
199	Procurement Auctions via Approximately Optimal Submodular Optimization Authors: Yuan Deng; Amin Karbasi; Vahab Mirrokni; Renato Paes Leme; Grigoris Velegkas; Song Zuo Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Spotlight Keywords: Auction Design; Submodular Maximization
200	Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games Authors: Linjian Meng; Wubing Chen; Wenbin Li; Tianpei Yang; Youzhi Zhang; Yang Gao Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Spotlight Keywords: Stochastic Optimization; Nash Equilibrium; Normal-Form Games
201	An Error Analysis of Flow Matching for Deep Generative Modeling Authors: Zhengyu Zhou; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: Statistical Learning Theory
202	Learning Parametric Distributions from Samples and Preferences Authors: Marc Jourdan; Gizem Yüce; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: Statistical learning; Continuous parametric distributions; Preference feedback; Estimation error rate
203	On Learning Parallel Pancakes with Mostly Uniform Weights Authors: Ilias Diakonikolas; Daniel Kane; Sushrut Karmalkar; Jasper C.H. Lee; Thanasis Pittas Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: gaussian mixture models; parallel pancakes; statistical query; high-dimensional statistics
204	Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models Authors: Taj Jones-McCormick; Aukosh Jagannath; Subhabrata Sen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: Single-Index Model; Pre-training; Transfer-learning; sample complexity; Stochastic Gradient Descent
205	Rapid Overfitting of Multi-Pass SGD in Stochastic Convex Optimization Authors: Shira Vansover-Hager; Tomer Koren; Roi Livni Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: Stochastic convex optimization; SGD; multi-pass SGD; generalization; risk bounds
206	The Role of Randomness in Stability Authors: Max Hopkins; Shay Moran Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: Replicability; Differential Privacy; PAC Learning; Randomness; Stability
207	Training Dynamics of In-Context Learning in Linear Attention Authors: Yedi Zhang; Aaditya K Singh; Peter E. Latham; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Spotlight Keywords: learning dynamics; in-context learning; linear attention
208	Sparse-pivot: Dynamic correlation clustering for node insertions Authors: Mina Dalirrooyfard; Konstantin Makarychev; Slobodan Mitrović Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Spotlight Keywords: correlation clustering; dynamic; node insertions
209	Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents Authors: Shayan Kiyani; George J. Pappas; Aaron Roth; Hamed Hassani Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Spotlight Keywords: Decision making; Uncertainty Quantification; Prediction sets; Conformal prediction; Calibration; Risk Averse; Risk Aware; Risk sensitive; distribution free
210	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards Authors: Chenlu Ye; Yujia Jin; Alekh Agarwal; Tong Zhang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Spotlight Keywords: Heavy-tailed Rewards; Contextual bandits; Genenral function approximation
211	The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes Authors: Pedro Pinto Santos; Alberto Sardinha; Francisco S. Melo Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Spotlight Keywords: Planning; sequential decision-making; general-utility markov decision processes; convex markov decision processes
212	AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models Authors: Zheng Lian; Haoyu Chen; Lan Chen; Haiyang Sun; Licai Sun; Yong Ren; Zebang Cheng; Bin Liu; Rui Liu; Xiaojiang Peng; Jiangyan Yi; Jianhua Tao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: multimodal emotion recognition; AffectGPT; MER-Caption; MER-UniBench
213	ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks Authors: Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano;… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Oral Keywords: Benchmark; GenAI; Agents; IT Automation
214	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models Authors: Parshin Shojaee; Ngoc-Hieu Nguyen; Kazem Meidani; Amir Barati Farimani; Khoa D Doan; Chandan K. Reddy Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Oral Keywords: Benchmark; Scientific Discovery; Large Language Models; Symbolic Regression
215	Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction Authors: Xiang Fu; Brandon M Wood; Luis Barroso-Luque; Daniel S. Levine; Meng Gao; Misko Dzamba; C. Lawrence Zitnick Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Oral Keywords: Machine Learning Force Fields; Machine Learning Potentials; DFT; Computational Chemistry; Molecular Dynamics
216	The dark side of the forces: assessing non-conservative force models for atomistic machine learning Authors: Filippo Bigi; Marcel F. Langer; Michele Ceriotti Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Oral Keywords: geometric machine learning; energy conservation; atomistic modelling; molecular dynamics; statistical mechanics
217	Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Authors: Zhiyuan Yan; Jiangming Wang; Peng Jin; Ke-Yue Zhang; Chengchun Liu; Shen Chen; Taiping Yao; Shouhong Ding; Baoyuan Wu; Li Yuan Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Oral Keywords: AI-Generated Image Detection; Face Forgery Detection; Deepfake Detection; Media Forensics
218	ReferSplat: Referring Segmentation in 3D Gaussian Splatting Authors: Shuting He; Guangquan Jie; Changshuo Wang; Yun Zhou; Shuming Hu; Guanbin Li; Henghui Ding Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Oral Keywords: 3D Gaussian Splatting; Referring Segmentation; ReferSplat
219	VideoRoPE: What Makes for Good Video Rotary Position Embedding? Authors: Xilin Wei; Xiaoran Liu; Yuhang Zang; Xiaoyi Dong; Pan Zhang; Yuhang Cao; Jian Tong; Haodong Duan; Qipeng Guo; Jiaqi Wang; Xipeng Qiu; Dahua Lin Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Oral Keywords: Rotary Position Embedding (RoPE); Spatio-temporal Encoding; VideoRoPE; V-NIAH-D Task; Temporal Dimension Allocation; 3D Position Embedding; Low-frequency Tempo…
220	What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities Authors: Wendong Bu; Yang Wu; Qifan Yu; Minghe Gao; Bingchen Miao; Zhenkui Zhang; Kaihang Pan; liyunfei; Mengze Li; Wei Ji; Juncheng Li; Siliang Tang; Yueting Zhuang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Oral Keywords: Virtual Agent; Digital Agent; Multidimensional Benchmark
221	Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics Authors: Herman Chau; Helen Jenne; Davis Brown; Jesse He; Mark Raugas; Sara C. Billey; Henry Kvinge Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Oral Keywords: Datasets; AI for math; Mathematical reasoning and conjecturing; Algebraic combinatorics
222	Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? Authors: Konrad Mundinger; Max Zimmer; Aldo Kiem; Christoph Spiegel; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Oral Keywords: AI4Science; Mathematical Discovery; Neural Network; Scientific Machine Learning; Neural Representation Learning; Discrete Geometry; Geometric Deep Learning; Ne…
223	SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs Authors: Xin Su; Man Luo; Kris W Pan; Tien Pei Chou; Vasudev Lal; Phillip Howard Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Oral Keywords: Multimodal; retrieval augmented generation; data generation
224	Long-Form Speech Generation with Spoken Language Models Authors: Se Jin Park; Julian Salazar; Aren Jansen; Keisuke Kinoshita; Yong Man Ro; RJ Skerry-Ryan Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Oral Keywords: spoken language models; long-form generation; state-space models; evaluation
225	Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes Authors: Weihan Li; Yule Wang; Chengrui Li; Anqi Wu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Oral Keywords: Multiple Brain Region Communications; Markovian Gaussian Processes; State Space Model
226	Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning Authors: Fangwen Wu; Lechao Cheng; Shengeng Tang; Xiaofeng Zhu; Chaowei Fang; Dingwen Zhang; Meng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Class-incremental learning; continual learning
227	Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks Authors: Shikai Qiu; Lechao Xiao; Andrew Gordon Wilson; Jeffrey Pennington; Atish Agarwala Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Oral Keywords: Scaling Laws; Optimization
228	From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control Authors: Chi Zhang; REN Lianhai; Jingpu Cheng; Qianxiao Li Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Oral Keywords: Low-Rank Adaptation; Parallel Control; Parameter-Efficient Fine-Tuning
229	AdaSplash: Adaptive Sparse Flash Attention Authors: Nuno Gonçalves; Marcos V Treviso; Andre Martins Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Oral Keywords: Sparse Attention; Flash Attention; Adaptive Sparsity; Long Context Transformers
230	In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval Authors: Matthew Smart; Alberto Bietti; Anirvan M. Sengupta Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Oral Keywords: attention; in-context learning; denoising; associative memory; Hopfield network; transformers
231	Strategy Coopetition Explains the Emergence and Transience of In-Context Learning Authors: Aaditya K Singh; Ted Moskovitz; Sara Dragutinović; Felix Hill; Stephanie C.Y. Chan; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Oral Keywords: Mechanistic interpretability; transformers; in-context learning; transience; dynamics; Machine Learning; strategy; cooperation; competition; coopetition
232	Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Authors: Anshuman Chhabra; Bo Li; Jian Chen; Prasant Mohapatra; Hongfu Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Oral Keywords: Data-centric learning; Detrimental sample detection
233	On Path to Multimodal Generalist: General-Level and General-Bench Authors: Hao Fei; Yuan Zhou; Juncheng Li; Xiangtai Li; Qingshan Xu; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; Liangtao Shi; Minghe Gao; Daoa… Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Oral Keywords: Large Language Model; Multimodal Large Language Model; Multimodal Generalist; Evaluation; Benchmark
234	Sundial: A Family of Highly Capable Time Series Foundation Models Authors: Yong Liu; Guo Qin; Zhiyuan Shi; Zhi Chen; Caiyin Yang; Xiangdong Huang; Jianmin Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Oral Keywords: Time Series; Foundation Models
235	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Authors: Alec Helbling; Tuna Han Salih Meral; Benjamin Hoover; Pinar Yanardag; Duen Horng Chau Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: diffusion; interpretability; transformers; representation learning; mechanistic interpretability
236	DeFoG: Discrete Flow Matching for Graph Generation Authors: Yiming QIN; Manuel Madeira; Dorina Thanou; Pascal Frossard Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Graph Generation; Flow Matching
237	Improving the Scaling Laws of Synthetic Data with Deliberate Practice Authors: Reyhane Askari-Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Synthetic Data; Deliberate Practice; Active Learning; Sample Efficiency; Scaling Laws; Data Curation; Diffusion Models; Dataset Pruning
238	Inductive Moment Matching Authors: Linqi Zhou; Stefano Ermon; Jiaming Song Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: generative models; diffusion models; flow matching; moment matching; consistency models
239	MGD$^3$ : Mode-Guided Dataset Distillation using Diffusion Models Authors: Jeffrey A Chan Santiago; praveen tirupattur; Gaurav Kumar Nayak; Gaowen Liu; Mubarak Shah Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Dataset distillation; Dataset Condensation; Diffusion Models
240	Normalizing Flows are Capable Generative Models Authors: Shuangfei Zhai; Ruixiang ZHANG; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista; Navdeep Jaitly; Joshua M. Susskind Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Normalizing flows; autoregressive models; likelihood estimation
241	Rényi Neural Processes Authors: Xuesong Wang; He Zhao; Edwin V. Bonilla Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: neural processes; Rényi divergence
242	Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions Authors: Jaeyeon Kim; Kulin Shah; Vasilis Kontonis; Sham M. Kakade; Sitan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Discrete Diffusion models; Masked Diffusion Models; Diffusion Models; Learning Theory; Inference-Time Strategy
243	VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models Authors: Hila Chefer; Uriel Singer; Amit Zohar; Yuval Kirstain; Adam Polyak; Yaniv Taigman; Lior Wolf; Shelly Sheynin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Oral Keywords: Video generation; Motion understanding; Diffusion models
244	AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization Authors: Haibo Chen; Xin Wang; Zeyang Zhang; Haoyang Li; Ling Feng; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Oral Keywords: Graph Foundation Model; Text Attributed Graph; Graph Neural Architecture Search; Graph Neural Networks
245	Equivalence is All: A Unified View for Self-supervised Graph Learning Authors: Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Ling Li; Jiapu Wang; Fangting Li; Miaomiao Huang; Shirui Pan; Xingwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Oral Keywords: Graph Self-Supervised Learning; Graph Neural Networks
246	Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies Authors: Nadav Timor; Jonathan Mamou; Daniel Korat; Moshe Berchansky; Gaurav Jain; Oren Pereg; Moshe Wasserblat; David Harel Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Speculative Decoding; Large Language Models; Vocabulary Alignment; Heterogeneous Vocabularies; Efficient Inference; Inference Acceleration; Rejection Sampling;…
247	Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark Authors: Yunzhuo Hao; Jiawei Gu; Huichen Will Wang; Linjie Li; Zhengyuan Yang; Lijuan Wang; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Benchmark; Multimodal; Reasoning
248	CodeIO: Condensing Reasoning Patterns via Code Input-Output Prediction Authors: Junlong Li; Daya Guo; Dejian Yang; Runxin Xu; Yu Wu; Junxian He Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Large Language Models; Reasoning; Code Execution
249	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs Authors: Jongwoo Ko; Tianyi Chen; Sungnyun Kim; Tianyu Ding; Luming Liang; Ilya Zharkov; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: knowledge distillation; efficiency; contrastive approach
250	EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Authors: Rui Yang; Hanyang Chen; Junyu Zhang; Mark Zhao; Cheng Qian; Kangrui Wang; Qineng Wang; Teja Venkat Koripella; Marziyeh Movahedi; Manling Li; Heng Ji; Huan Zhang; Tong Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Embodied Agent; Multi-modal Large Language Models
251	Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs Authors: Jan Betley; Daniel Chee Hian Tan; Niels Warncke; Anna Sztyber-Betley; Xuchan Bao; Martín Soto; Nathan Labenz; Owain Evans Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: NLP; LLM; GPT; generalization; fine-tuning; misalignment; alignment; safety
252	Layer by Layer: Uncovering Hidden Representations in Language Models Authors: Oscar Skean; Md Rifat Arefin; Dan Zhao; Niket Nikul Patel; Jalal Naghiyev; Yann LeCun; Ravid Shwartz-Ziv Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: large language model; entropy; augmentation; intermediate layer; vision transformer
253	Learning Dynamics in Continual Pre-Training for Large Language Models Authors: Xingjin Wang; Howe Tissue; Lu Wang; Linjing Li; Daniel Dajun Zeng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Continual Pre-Training; Large Language Models; Learning Dynamics
254	Mixture of Lookup Experts Authors: Shibo Jie; Yehui Tang; Kai Han; Yitong Li; Duyu Tang; Zhi-Hong Deng; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Mixture-of-Experts; Large Language Models
255	Multi-agent Architecture Search via Agentic Supernet Authors: Guibin Zhang; Luyang Niu; Junfeng Fang; Kun Wang; LEI BAI; Xiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: LLM-agent; Agentic Workflows; Multi-agent System
256	Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG Authors: Wenbin Wang; Yongcheng Jing; Liang Ding; Yingjie Wang; Li Shen; Yong Luo; Bo Du; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Multimodal Large Language Models; High-resolution Image Perception
257	Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction Authors: Vaishnavh Nagarajan; Chen Henry Wu; Charles Ding; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: next-token prediction; multi-token prediction; creativity
258	Training a Generally Curious Agent Authors: Fahim Tajwar; Yiding Jiang; Abitha Thankaraj; Sumaita Sadia Rahman; J Zico Kolter; Jeff Schneider; Russ Salakhutdinov Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: LLM Agent; Synethic Data; Multiturn finetuning
259	VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Authors: Thomas Zeng; Shuibai Zhang; Shutong Wu; Christian Classen; Daewon Chae; Ethan Ewer; Minjae Lee; Heeju Kim; Wonjun Kang; Jackson Kunde; Ying Fan; Jungtaek Kim; Hyung Il Koo; Kannan… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: Proccess Reward Model
260	rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking Authors: Xinyu Guan; Li Lyna Zhang; Yifei Liu; Ning Shang; Youran Sun; Yi Zhu; Fan Yang; Mao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Oral Keywords: LLM; Reasoning; Self-evolution
261	An analytic theory of creativity in convolutional diffusion models Authors: Mason Kamb; Surya Ganguli Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Oral Keywords: Diffusion models; Creativity; Inductive Biases; Theory; Interpretability
262	Transformative or Conservative? Conservation laws for ResNets and Transformers Authors: Sibylle Marcotte; Rémi Gribonval; Gabriel Peyré Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Oral Keywords: Conservation laws; gradient flow; linear and relu neural networks; Convolutive ResNet; Transformer; SGD
263	ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence Authors: Guanghui Wang; Zhiyong Yang; Zitai Wang; Shi Wang; Qianqian Xu; Qingming Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Knowledge Distillation; α-β divergence
264	Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection Authors: Zhijing Wan; Zhixiang Wang; Zheng Wang; Xin Xu; Shin'ichi Satoh Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: one-shot subset selection; foundation models; data-efficient learning
265	Hierarchical Refinement: Optimal Transport to Infinity and Beyond Authors: Peter Halmos; Julian Gold; Xinhao Liu; Benjamin Raphael Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Optimal transport; low-rank; linear complexity; sparse; full-rank
266	One-Step Generalization Ratio Guided Optimization for Domain Generalization Authors: Sumin Cho; Dongwon Kim; Kwangsu Kim Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Oral Keywords: Domain Generalization; Optimization; Preconditioning; One-Step Generalization Ratio (OSGR); Out-of-Distribution
267	An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer Authors: Lifu Liu; Shiyuan He; Jianhua Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Oral Keywords: Directed acyclic graphs; Markov equivalence class; Causality; Undirected connected component
268	How Do Large Language Monkeys Get Their Power (Laws)? Authors: Rylan Schaeffer; Joshua Kazdan; John Hughes; Jordan Juravsky; Sara Price; Aengus Lynch; Erik Jones; Robert Kirk; Azalia Mirhoseini; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Oral Keywords: scaling laws; inference compute; scaling inference compute; language models; evaluations; scaling-predictable evaluations
269	SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Authors: Samuel Miserendino; Michele Wang; Tejal Patwardhan; Johannes Heidecke Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Oral Keywords: software engineering; benchmark; evals; evaluations; dataset; tasks; real-world; swe; coding; delegation; agents; language models; full-stack engineering
270	Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time Authors: Gramoz Goranci; Peter Kiss; Neel Patel; Martin P. Seybold; Eva Szilagyi; Da Wei Zheng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Oral Keywords: Euclidean bi-chromatic matching; dynamic algorithm; 1-Wasserstein distance
271	Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation Authors: Tiansheng Wen; Yifei Wang; Zequn Zeng; Zhong Peng; Yudi Su; Xinyang Liu; Bo Chen; Hongwei Liu; Stefanie Jegelka; Chenyu You Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Oral Keywords: Sparse Coding; Matryoshka representation learning; Adaptive Representation; Efficient Machine Learning; Sparse Autoencoder
272	Emergence in non-neural models: grokking modular arithmetic via average gradient outer product Authors: Neil Rohit Mallinar; Daniel Beaglehole; Libin Zhu; Adityanarayanan Radhakrishnan; Parthe Pandit; Mikhail Belkin Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Oral Keywords: Theory of deep learning; grokking; modular arithmetic; feature learning; kernel methods; average gradient outer product (AGOP); emergence
273	Sanity Checking Causal Representation Learning on a Simple Real-World System Authors: Juan L. Gamella; Simon Bing; Jakob Runge Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Oral Keywords: causal representation learning; benchmarks; causality
274	Model Immunization from a Condition Number Perspective Authors: Amber Yijia Zheng; Site Bai; Brian Bullins; Raymond A. Yeh Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Oral Keywords: Model Immunization; Optimization; Condition Number
275	Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data Authors: Erez Peterfreund; Ofir Lindenbaum; Yuval Kluger; Boris Landa Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Oral Keywords: data visualization; dimensionality reduction; manifold learning; data embedding; feature partitioning
276	Score Matching with Missing Data Authors: Josh Givens; Song Liu; Henry Reeve Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Oral Keywords: Score Matching; Missing Data; Variational Inference
277	Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness Authors: Konstantinos Oikonomidis; Jan Quan; Emanuel Laude; Panagiotis Patrinos Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Oral Keywords: nonconvex optimization; generalized smoothness; first-order methods
278	An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions Authors: Yuhan Ye; Ying Cui; Jingyi Wang Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Oral Keywords: nonsmooth; difference-of-convex; distribution shift; online optimization
279	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization Authors: Nuojin Cheng; Leonard Papenmeier; Stephen Becker; Luigi Nardi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Oral Keywords: Bayesian optimization; Entropy search; Variational inference; Acquisition function
280	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration Authors: Antoine Wehenkel; Juan L. Gamella; Ozan Sener; Jens Behrmann; Guillermo Sapiro; Joern-Henrik Jacobsen; marco cuturi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Oral Keywords: Simulation-based Inference; Misspecification; Optimal Transport; Bayesian Inference; Neural Posterior Estimation; Robust Inference
281	Conformal Prediction as Bayesian Quadrature Authors: Jake C. Snell; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Oral Keywords: bayesian quadrature; probabilistic numerics; conformal prediction; distribution-free uncertainty quantification
282	Flowing Datasets with Wasserstein over Wasserstein Gradient Flows Authors: Clément Bonet; Christophe Vauthier; Anna Korba Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Oral Keywords: Wasserstein gradient flows; optimal transport; datasets
283	Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules Authors: Tian-Zuo Wang; Wen-Bo Du; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->graphical_models Recognition: Oral Keywords: maximal ancestral graphs; MAG listing
284	Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs Authors: Jie Hu; Yi-Ting Ma; Do Young Eun Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Oral Keywords: Nonlinear MCMC; History-Driven Target; Computational Efficiency; Near-Zero Variance
285	Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration Authors: Shiqing Gao; Jiaxin Ding; Luoyi Fu; Xinbing Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: constrained RL; safe exploration; underestimation; intrinsic cost
286	Temporal Difference Flows Authors: Jesse Farebrother; Matteo Pirotta; Andrea Tirinzoni; Remi Munos; Alessandro Lazaric; Ahmed Touati Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Oral Keywords: Reinforcement Learning; Geometric Horizon Model; Gamma-Model; Temporal Difference Learning; Successor Measure; Flow Matching
287	Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning Authors: Guozheng Ma; Lu Li; Zilin Wang; Li Shen; Pierre-Luc Bacon; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Oral Keywords: Deep Reinforcement Learning; Network Sparsity; Scaling; Plasticity Loss; Regularization
288	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination Authors: Kunal Jha; Wilka Carvalho; Yancheng Liang; Simon Shaolei Du; Max Kleiman-Weiner; Natasha Jaques Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Oral Keywords: Zero-shot Coordination; Human-AI Collaboration; Multi-agent Interactions
289	Near-Optimal Decision Trees in a SPLIT Second Authors: Varun Babbar; Hayden McTavish; Cynthia Rudin; Margo Seltzer Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Oral Keywords: Decision Tree Optimization; Interpretable Machine Learning; Discrete Optimization
290	CollabLLM: From Passive Responders to Active Collaborators Authors: Shirley Wu; Michel Galley; Baolin Peng; Hao Cheng; Gavin Li; Yao Dou; Weixin Cai; James Zou; Jure Leskovec; Jianfeng Gao Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Oral Keywords: Human-centered Large Language Model; Multiturn Interaction; Collaborative Problem-Solving; Reinforcement Learning
291	Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Authors: Angéline Pouget; Mohammad Yaghini; Stephan Rabanser; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: social_aspects->everything_else Recognition: Oral Keywords: suitability; reliability; robustness; classifier; unlabeled data
292	The Value of Prediction in Identifying the Worst-Off Authors: Unai Fischer-Abaigar; Christoph Kern; Juan Carlos Perdomo Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Oral Keywords: algorithmic decision making; resource allocation; machine learning and public policy
293	Auditing $f$-differential privacy in one run Authors: Saeed Mahloujifar; Luca Melis; Kamalika Chaudhuri Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Oral Keywords: Empirical privacy; Auditing; Differential Privacy
294	Going Deeper into Locally Differentially Private Graph Neural Networks Authors: Longzhu He; Chaozhuo Li; Peng Tang; Sen Su Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Oral Keywords: Differential Privacy; Graph Neural Networks; Privacy-preserving
295	Statistical Collusion by Collectives on Learning Platforms Authors: Etienne Gauthier; Francis Bach; Michael I. Jordan Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Oral Keywords: Learning Algorithms; Collective Action; Data Poisoning
296	STAIR: Improving Safety Alignment with Introspective Reasoning Authors: Yichi Zhang; Siyuan Zhang; Yao Huang; Zeyu Xia; Zhengwei Fang; Xiao Yang; Ranjie Duan; Dong Yan; Yinpeng Dong; Jun Zhu Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Oral Keywords: LLM; Safety Alignment; Reasoning
297	AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses Authors: Nicholas Carlini; Edoardo Debenedetti; Javier Rando; Milad Nasr; Florian Tramèr Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Oral Keywords: benchmark; adversarial examples; agents
298	Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards Authors: Yangsibo Huang; Milad Nasr; Anastasios Nikolas Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Ke… Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Oral Keywords: Security; LLM leaderboard; LLM evaluation
299	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton Authors: Chengmei Niu; Zhenyu Liao; Zenan Ling; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: theory Recognition: Oral Keywords: Inversion bias; random matrix theory; randomized numerical linear algebra; random sampling; sub-sampled Newton
300	Algorithm Development in Neural Networks: Insights from the Streaming Parity Task Authors: Loek van Rossem; Andrew M Saxe Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Oral Keywords: Out-of-distribution generalization; Algorithm discovery; Deep learning theory; Mechanistic Interpretability
301	Learning dynamics in linear recurrent neural networks Authors: Alexandra Maria Proca; Clémentine Carla Juliette Dominé; Murray Shanahan; Pedro A. M. Mediano Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Oral Keywords: deep learning; learning dynamics; RNNs; rich and lazy learning; teacher-student; neuroscience
302	LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail) Authors: Junsu Kim; Jaeyeon Kim; Ernest K. Ryu Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Oral Keywords: Low-rank adaptation; LoRA; deep learning theory; non-convex optimization; large language models; fine-tuning; post training
303	Generative Social Choice: The Next Generation Authors: Niclas Boehmer; Sara Fish; Ariel D. Procaccia Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Oral Keywords: Social choice; large language models; committee elections; democratic processes; proportional fairness
304	Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All Authors: Ermis Soumalias; Jakob Heiss; Jakob Weissteiner; Sven Seuken Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Oral Keywords: Combinatorial Auctions; Auction Design; Auctions; Market Design; Mechanism Design; Game Theory; Spectrum Auctions; Iterative Auctions; Preference Elicitation;…
305	A Generalization Theory for Zero-Shot Prediction Authors: Ronak Mehta; Zaid Harchaoui Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: zero-shot; self-supervised learning; foundation models; learning theory; statistical theory
306	All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance Authors: Jasper C.H. Lee; Walter McKelvie; Maoyuan Song; Paul Valiant Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: mean estimation; instance optimality; robust statistics
307	Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent Authors: Santhosh Karnik; Anna Veselovska; Mark Iwen; Felix Krahmer Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: overparameterization; implicit regularization; tensor factorization
308	LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently Authors: Yuanhe Zhang; Fanghui Liu; Yudong Chen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: low-rank fine-tuning; linear convergence; subspace alignment
309	Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise Authors: Ilias Diakonikolas; Mingchen Ma; Lisheng Ren; Christos Tzamos Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: Multiclass Linear Classification; Random Classification Noise; Statistical Query Learning
310	Theoretical Limitations of Ensembles in the Age of Overparameterization Authors: Niclas Dern; John Patrick Cunningham; Geoff Pleiss Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Oral Keywords: Ensembles; Deep Ensembles; Uncertainty Quantification; Overparameterization; Random feature regression; Kernel regression
311	High-Dimensional Prediction for Sequential Decision Making Authors: Georgy Noarov; Ramya Ramalingam; Aaron Roth; Stephan Xie Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Oral Keywords: online decision making; combinatorial optimization; multicalibration; calibration; swap regret; no-regret; conditional guarantees
312	Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance Authors: Shogo Iwazaki; Shion Takeno Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Oral Keywords: Gaussian process bandits; kernel bandits; noiseless setting
313	A Generalization Result for Convergence in Learning-to-Optimize Authors: Michael Sucker; Peter Ochs Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Oral Keywords: learning-to-optimize; non-smooth non-convex optimization; PAC-Bayesian guarantees; convergence
314	Expected Variational Inequalities Authors: Brian Hu Zhang; Ioannis Anagnostides; Emanuel Tewolde; Ratip Emin Berker; Gabriele Farina; Vincent Conitzer; Tuomas Sandholm Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Oral Keywords: variational inequalities; correlated equilibria; game theory
315	General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization Authors: Kwangjun Ahn; Gagik Magakyan; Ashok Cutkosky Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Oral Keywords: Schedule-free optimizaer; non-convex optimization; online-to-nonconvex conversion
316	On Differential Privacy for Adaptively Solving Search Problems via Sketching Authors: Shiyuan Feng; Ying Feng; George Zhaoqi Li; Zhao Song; David Woodruff; Lichen Zhang Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Oral Keywords: data structure; adaptive robustness; differential privacy
317	Blink of an eye: a simple theory for feature localization in generative models Authors: Marvin Li; Aayush Karan; Sitan Chen Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Oral Keywords: stochastic localization; theory of diffusion; large language models; interpretability; reasoning
318	Learning with Expected Signatures: Theory and Applications Authors: Lorenzo Lucchese; Mikko S. Pakkanen; Almut E. D. Veraart Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Oral Keywords: Probabilistic Machine Learning; Signature; Expected Signature; Time Series; Rough Paths
319	Statistical Test for Feature Selection Pipelines by Selective Inference Authors: Tomohiro Shiraishi; Tatsuya Matsukawa; Shuichi Nishino; Ichiro Takeuchi Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Oral Keywords: Data Analysis Pipeline; AutoML; Statistical Test; Selective Inference; Missing Value Imputation; Outlier Detection; Feature Selection
320	AdaWorld: Learning Adaptable World Models with Latent Actions Authors: Shenyuan Gao; Siyuan Zhou; Yilun Du; Jun Zhang; Chuang Gan Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: World Model; Latent Action; Video Generation; Diffusion Model; Decision Making; Embodied AI
321	Adaptive Flow Matching for Resolving Small-Scale Physics Authors: Stathi Fotiadis; Noah D Brenowitz; Tomas Geffner; Yair Cohen; Michael Pritchard; Arash Vahdat; Morteza Mardani Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: flow matching; diffusion models; weather downscaling; distribution misalignment
322	Adaptive Self-improvement LLM Agentic System for ML Library Development Authors: Genghan Zhang; Weixin Liang; Olivia Hsu; Kunle Olukotun Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM agents; Self-improvement learning; Machine learning library
323	Agent Workflow Memory Authors: Zora Zhiruo Wang; Jiayuan Mao; Daniel Fried; Graham Neubig Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: agent; memory; web navigation
324	Agent-as-a-Judge: Evaluate Agents with Agents Authors: Mingchen Zhuge; Changsheng Zhao; Dylan R. Ashley; Wenyi Wang; Dmitrii Khizbullin; Yunyang Xiong; Zechun Liu; Ernie Chang; Raghuraman Krishnamoorthi; Yuandong Tian; Yangyang Shi; V… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Code Generation; Agent-as-a-Judge; AI Developer; AI Judge; LLM
325	AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Authors: Patara Trirat; Wonyong Jeong; Sung Ju Hwang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Automated Machine Learning; Multi-Agent Framework; Large Language Models
326	Autoformulation of Mathematical Optimization Models Using LLMs Authors: Nicolás Astorga; Tennison Liu; Yuanzhang Xiao; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models; optimization modeling; autoformulation
327	Calibrating Video Watch-time Predictions with Credible Prototype Alignment Authors: Chao Cui; Shisong Tang; Fan Li; Jiechao Gao; Hechang Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Prototype learning; optimal transport; recommendation
328	Cradle: Empowering Foundation Agents towards General Computer Control Authors: Weihao Tan; Wentao Zhang; Xinrun Xu; Haochong Xia; Ziluo Ding; Boyu Li; Bohan Zhou; Junpeng Yue; Jiechuan Jiang; Yewen Li; Ruyi An; Molei Qin; Chuqiao Zong; Longtao Zheng; YuJie W… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Foundation Agents; Large Multimodal Models; Decision-making; General Computer Control
329	CursorCore: Assist Programming through Aligning Anything Authors: Hao Jiang; Qi Liu; Rui Li; Shengyu Ye; Shijin Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large Language Models for Code; AI-Assisted Programming
330	De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs Authors: Samantha Chen; Pankaj K Agarwal; Yusu Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: geospatial analysis; graph neural networks; terrains; shortest paths
331	Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling Authors: Xiangxin Zhou; Mingyu Li; Yi Xiao; Jiahan Li; Dongyu Xue; Zaixiang Zheng; Jianzhu Ma; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: cyclic peptide; peptide design; SDE-based generative model
332	EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation Authors: ji deng; Zhao Li; Ji Zhang; Jun Gao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Chip Placement; Evolutionary Search; Mutation
333	EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities Authors: Talor Abramovich; Meet Udeshi; Minghao Shao; Kilian Lieret; Haoran Xi; Kimberly Milner; Sofija Jancheska; John Yang; Carlos E Jimenez; Farshad Khorrami; Prashanth Krishnamurthy; B… Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Language Model Agents; Language Model; Agents; Security; Vulnerabilities; Capture The Flag
334	Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework Authors: Guan Huang; Tao Shu Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Low Earth Orbit Satellites; Model Personalization; One-Shot Federated Learning; Communication Constraints
335	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Authors: Mingjia Yin; Junwei Pan; Hao Wang; Ximei Wang; Shangyu Zhang; Jie Jiang; Defu Lian; Enhong Chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Generative model; Recommender system; Feature interaction
336	Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models Authors: Haoyu Peter Wang; Shikun Liu; Rongzhe Wei; Pan Li Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: text-attributed graphs; zero-shot learning; large language model
337	Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic Authors: Eshika Saxena; Alberto Alfarano; Emily Wenger; Kristin E. Lauter Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: transformers; modular arithmetic; math; cryptography
338	OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition Authors: Zheng Lian; Haiyang Sun; Licai Sun; Haoyu Chen; Lan Chen; Hao Gu; Zhuofan Wen; Shun Chen; Zhang Siyuan; Hailiang Yao; Bin Liu; Rui Liu; Shan Liang; Ya Li; Jiangyan Yi; Jianhua Tao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: multimodal emotion recognition; OV-MER; dataset; benchmark
339	OrcaLoca: An LLM Agent Framework for Software Issue Localization Authors: Zhongming Yu; Hejia Zhang; Yujie Zhao; Hanxian Huang; Matrix Yao; Ke Ding; Jishen Zhao Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM; LLM Agent; Software Engineering
340	POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval Authors: Yaoyang Liu; Junlin Li; Yinjun Wu; zhen chen Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: information retrieval; retrieval-augmented generation
341	RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing Authors: Jinyao Guo; Chengpeng Wang; Xiangzhe Xu; Zian Su; Xiangyu Zhang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: agent; code reasoning; code auditing; bug detection
342	Sounding that Object: Interactive Object-Aware Image to Audio Generation Authors: Tingle Li; Baihe Huang; Xiaobin Zhuang; Dongya Jia; Jiawei Chen; Yuping Wang; Zhuo Chen; Gopala Anumanchipalli; Yuxuan Wang Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Sound Generation; Audio-Visual Learning; Multi-Modal Learning
343	StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models Authors: Ya Jiang; Chuxiong Wu; Massieh Kordi Boroujeny; Brian Mark; Kai Zeng Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: LLM Watermark; bias; LLM Security
344	Synthesizing Software Engineering Data in a Test-Driven Manner Authors: Lei Zhang; Jiaxi Yang; Min Yang; Jian Yang; Mouxiang Chen; Jiajun Zhang; Zeyu Cui; Binyuan Hui; Junyang Lin Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Large language Model; Software Engineering; Test-Driven Development; Code Agent
345	TAROT: Targeted Data Selection via Optimal Transport Authors: Lan Feng; Fan Nie; Yuejiang Liu; Alexandre Alahi Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: Data Attribution; Data Selection; Optimal Transport
346	What can large language models do for sustainable food? Authors: Anna Thomas; Adam Yee; Andrew Mayne; Maya B. Mathur; Dan Jurafsky; Kristina Gligorić Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: large language models; sustainability; climate; food; health; optimization
347	Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale Authors: Rogerio Bonatti; Dan Zhao; Francesco Bonacci; Dillon Dupont; Sara Abdali; Yinheng Li; Yadong Lu; Justin Wagle; Kazuhito Koishida; Arthur Bucker; Lawrence Keunho Jang; Zheng Hui Affiliation: 官方页面未列出 Official area / track: applications Recognition: Poster/Regular Keywords: agents; benchmark; computer agents; AI agents; multimodal agents; large language models
348	A Machine Learning Approach to Duality in Statistical Physics Authors: Prateek Gupta; Andrea E. V. Ferrari; Nabil Iqbal Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Duality; Statistical Mechanics
349	A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data Authors: Cailong Hua; Sivaraman Rajaganapathy; Rebecca A Slick; Joseph Vavra; Joseph M. Muretta; James M. Ervasti; Murti Salapaka Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Single molecule force spectroscopy; protein unfolding; experimental datasets; application in single molecule identification; physics-augmented deep learning fr…
350	Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Authors: Sanjeev Raja; Martin Sipka; Michael Psenka; Tobias Kreiman; Michal Pavelka; Aditi S. Krishnapriyan Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Transition path sampling; molecular dynamics; generative models; diffusion models; flow matching models
351	All-atom Diffusion Transformers: Unified generative modelling of molecules and materials Authors: Chaitanya K. Joshi; Xiang Fu; Yi-Lun Liao; Vahe Gharakhanyan; Benjamin Kurt Miller; Anuroop Sriram; Zachary Ward Ulissi Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Latent Diffusion; Transformers; Molecules; Crystals; Diffusion Transformers; Material Science; Chemistry
352	An All-Atom Generative Model for Designing Protein Complexes Authors: Ruizhe Chen; Dongyu Xue; Xiangxin Zhou; Zaixiang Zheng; xiangxiang Zeng; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: protein design; flow matching; antibody design; peptide design; multi-chain protein
353	AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling Authors: Jian Gao; Weidong Cao; Xuan Zhang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Graph modeling; Application of Generative Models; Electronic Design Automation
354	Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation Authors: Da Long; Zhitong Xu; Guang Yang; Akil Narayan; Shandian Zhe Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Surrogate Model; Multi-physics; Diffusion Model; Gaussian Process; Functional Diffusion
355	Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling Authors: Shuqi Lu; Xiaohong Ji; Bohang Zhang; Lin Yao; Siyuan Liu; Zhifeng Gao; Linfeng Zhang; Guolin Ke Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Molecular pretrained representation; Molecular Property
356	Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition Authors: Jaeheun Jung; Jaehyuk Lee; Chang-Hae Jung; Hanyoung Kim; Bosung Jung; Donghun Lee Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: seismology; earthquake synthesis; diffusion model
357	Calibrated Physics-Informed Uncertainty Quantification Authors: Vignesh Gopakumar; Ander Gray; Lorenzo Zanisi; Timothy Nunn; Daniel Giles; Matt Kusner; Stanislas Pamela; Marc Peter Deisenroth Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Surrogate Models; Uncertainty Quantification; Neural-PDE; Physics-Informed; Conformal Prediction; PDE Residuals; Nuclear Fusion
358	Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation Authors: Jan Pauls; Max Zimmer; Berkant Turan; Sassan Saatchi; Philippe CIAIS; Sebastian Pokutta; Fabian Gieseke Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: canopy height; remote sensing; satellite; deep learning application; sentinel; gedi
359	Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction Authors: Yi He; Yiming Yang; Xiaoyuan Cheng; Hai Wang; Xiao Xue; Boli Chen; Yukun Hu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Dynamical system; chaos; transformer; auto-regression
360	Closed-form Solutions: A New Perspective on Solving Differential Equations Authors: Shu Wei; Yanjie Li; Lina Yu; Weijun Li; Min Wu; Linjun Sun; Jingyi Liu; Hong Qin; Yusong Deng; Jufeng Han; Yan Pang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Reinforcement learning; Closed-form solution; Differential equations; Policy gradient.
361	CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes Authors: Zelin Xu; Yupu Zhang; Tingsong Xiao; Maitane Olabarrieta Lizaso; Jose M. Gonzalez-Ondina; Zibo Liu; Shigang Chen; Zhe Jiang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Coastal Processes; Dataset; Benchmark
362	Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction Authors: Jiao Huang; Qianli Xing; Jinglong Ji; Bo Yang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Material structure representation; Material property prediction; Multi-agent systems; Large language models
363	Compositional Flows for 3D Molecule and Synthesis Pathway Co-design Authors: Tony Shen; Seonghwan Seo; Ross Irwin; Kieran Didi; Simon Olsson; Woo Youn Kim; Martin Ester Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: drug discovery; synthesizable molecular design; GFlowNets; flow matching
364	Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem Authors: In Huh; changwook jeong; Muhammad Alam Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: neural ODE; dynamical system; bifurcation; symmetry breaking; out-of-domain; Poincaré index
365	Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement Authors: Rohan Shenoy; Evan Austen Coleman; Hans Gaensbauer; Elsa Olivetti Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: NMR; MRI; elemental analysis; atomic abundance; carbon measurement; MRV; RL; magnetization; nuclear spin; pulse sequencing
366	DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Authors: Rudy Morel; Jiequn Han; Edouard Oyallon Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: PDEs; prediction; hypernetwork; transformer; neuralPDE
367	DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications Authors: Ibrahim Fayad; Max Zimmer; Martin Schwartz; Fabian Gieseke; Philippe CIAIS; Gabriel Belouze; Sarah Brood; Aurélien de Truchis; Alexandre d'Aspremont Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: earth observation; multi-modality; self-supervised learning; cross-modal retrieval
368	Deep Electromagnetic Structure Design Under Limited Evaluation Budgets Authors: Shijian Zheng; Fangxiao Jin; Shuhai Zhang; Quan Xue; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Electromagnetic Structure; Surrogate Model; Tree Search
369	Deep Neural Cellular Potts Models Authors: Koen Minartz; Tim D'Hondt; Leon Hillmann; Jörn Starruß; Lutz Brusch; Vlado Menkovski Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Cellular Potts Models; Multi-Cell Dynamics; Cell Migration; Energy-Based Models; Simulation
370	Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation Authors: Kevin Han Huang; Ni Zhan; Elif Ertekin; Peter Orbanz; Ryan P Adams Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: quantum Monte Carlo; ab initio methods; Schrodinger equation; neural network wavefunctions; many-body methods; invariance and symmetry
371	DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra Authors: Montgomery Bohde; Mrunali Manjrekar; Runzhong Wang; Shuiwang Ji; Connor W. Coley Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI4Science; Mass Spectra; Diffusion; Graph Neural Networks
372	Diffusion on Language Model Encodings for Protein Sequence Generation Authors: Viacheslav Meshchaninov; Pavel Strashnov; Andrey Shevtsov; Fedor Nikolaev; Nikita Ivanisenko; Olga Kardymon; Dmitry Vetrov Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: continuous diffusion; generative protein design; score matching; denoising models; sequence modeling
373	DragSolver: A Multi-Scale Transformer for Real-World Automotive Drag Coefficient Estimation Authors: Ye Liu; Yuntian Chen Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Aerodynamic Drag Prediction; Computational Fluid Dynamics; Transformer; Real-World Automobiles
374	ELoRA: Low-Rank Adaptation for Equivariant GNNs Authors: Chen Wang; Siyu Hu; Guangming Tan; Weile Jia Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: graph neural network; equivariance; parameter-efficient fine-tuning; low-rank adaptation; interatomic potential
375	EcoMapper: Generative Modeling for Climate-Aware Satellite Imagery Authors: Muhammed Goktepe; Amir hossein Shamseddin; Erencan Uysal; Javier Muinelo Monteagudo; Lukas Drees; Aysim Toker; Senthold Asseng; Malte von Bloh Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: remote sensing; generative modeling; stable diffusion; climate; satellite imagery; computer vision
376	Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity Authors: Erpai Luo; Xinran Wei; Lin Huang; Yunyang Li; Han Yang; Zaishuo Xia; Zun Wang; Chang Liu; Bin Shao; Jia Zhang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Equivariant network; Hamiltonian Matrix; Computational Chemistry; Efficiency
377	Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks Authors: Keyue Qiu; Yuxuan Song; Jie Yu; Hongbo Ma; Ziyao Cao; Zhilong Zhang; Yushuai Wu; Mingyue Zheng; Hao Zhou; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: molecule optimization; structure-based drug design; structure-based molecule optimization; bayesian flow network
378	Energy-Based Flow Matching for Generating 3D Molecular Structure Authors: Wenyin Zhou; Christopher Iliffe Sprague; Vsevolod Viliuga; Matteo Tadiello; Arne Elofsson; Hossein Azizpour Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: flow matching; molecular docking; protein backbone generation; energy-based models
379	Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization Authors: Seungbeom Lee; Munsun Jo; Jungseul Ok; Dongwoo Kim Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Structure-Based Drug Design; Deep Learning; Direct Property Optimization
380	Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function Authors: Christopher Subich; Syed Zahid Husain; Leo Separovic; Jing Yang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Loss functions; spherical harmonics; weather forecasting; tropical cyclones; fine tuning; double penalty
381	Flexibility-conditioned protein structure design with flow matching Authors: Vsevolod Viliuga; Leif Seute; Nicolas Wolf; Simon Wagner; Arne Elofsson; Jan Stühmer; Frauke Gräter Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Proteins; Protein design; Molecular Dynamics; Flow Matching; Conditional Flow Matching; Generative models; Equivariant models
382	Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages Authors: Michael Sun; Weize Yuan; Gang Liu; Wojciech Matusik; Jie Chen Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: molecular grammar; interpretability; foundation model; multi-modal
383	From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control Authors: Peiyan Hu; Xiaowei Qian; Wenhao Deng; Rui Wang; Haodong Feng; Ruiqi Feng; Tao Zhang; Long Wei; Yue Wang; Zhi-Ming Ma; Tailin Wu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: safe PDE control; PDE simulation; generative models; conformal prediction
384	GenMol: A Drug Discovery Generalist with Discrete Diffusion Authors: Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu; Danny Reidenbach; Yuxing Peng; Saee Gopal Paliwal; Weili Nie; Arash Vahdat Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: drug discovery; molecule generation; discrete diffusion
385	Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates Authors: Yunfei Huang; David S. Greenberg Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Geometric and Physical Constraints; Neural PDE Surrogates; Symmetry Equivariance; Conservation Laws; Fluid Dynamics
386	HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs Authors: Mingquan Feng; Weixin Liao; Yixin Huang; Yifan Fu; Qifu Zheng; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: PDE; Neural Operator; Constraints; High-dimension
387	Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space Authors: Xihang Yue; Yi Yang; Linchao Zhu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: PDE; Neural Operator; Attention Mechanism
388	Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems Authors: Jiachen Guo; Xiaoyu Xie; Chanwook Park; Hantao Zhang; Matthew J. Politis; Gino Domel; Wing Kam Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Scientific Machine Learning; Large-scale simulation; Partial Differential Equations (PDEs); Numerical Analysis; Tensor decomposition
389	Inverse problems with experiment-guided AlphaFold Authors: Sai Advaith Maddipatla; Nadav Bojan; Meital Bojan; Sanketh Vedula; Paul Schanda; Ailie Marx; Alexander Bronstein Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: protein structure prediction; alphafold; protein generative models; experiment-grounded generative models
390	KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors Authors: Benson Chen; Tomasz Danel; Gabriel H. S. Dreiman; Patrick J. McEnaney; Nikhil Jain; Kirill Novikov; Spurti Umesh Akki; Joshua L. Turnbull; Virja Atul Pandya; Boris P. Belotserkovs… Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: DEL; small molecule; dataset; benchmark; drug discovery
391	LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models Authors: Jinho Chang; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Diffusion models; Molecule generation; Representation learning
392	LLM-Augmented Chemical Synthesis and Design Decision Programs Authors: Haorui Wang; Jeff Guo; Lingkai Kong; Rampi Ramprasad; Philippe Schwaller; Yuanqi Du; Chao Zhang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Large Language models; Retrosynthesis planning; Molecule design
393	Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing Authors: Ye Du; Chen Yang; Nanxi Yu; Wanyu Lin; Qian Zhao; Shujun Wang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: De Novo Peptide Sequencing; Mass Spectrum; Latent Space Imputation
394	Latent Mamba Operator for Partial Differential Equations Authors: Karn Tiwari; Niladri Dutta; N M Anoop Krishnan; Prathosh AP Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Neural Operator; Scientific Machine Learning; Partial Differential Equations (PDEs)
395	Learn Singularly Perturbed Solutions via Homotopy Dynamics Authors: Chuqi CHEN; Yahong Yang; Yang Xiang; Wenrui Hao Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: scientific machine learning; parametric problems; homotopy dynamics
396	Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction Authors: Ankit Ghosh; Gargee Kashyap; Sarthak Mittal; Nupur Jain; Raghavan B Sunoj; Abir De Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Yield Prediction; GNN; Atom Mapping
397	Learning the Electronic Hamiltonian of Large Atomic Structures Authors: Chen Hao Xia; Manasa Kaniselvan; Alexandros Nikolaos Ziogas; Marko Mladenović; Rayen Mahjoub; Alexander Maeder; Mathieu Luisier Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Density Functional Theory; Equivariant Graph Networks; Materials Science
398	M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation Authors: Tao Zhang; Zhenhai Liu; Feipeng Qi; Yongjun Jiao; Tailin Wu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: multiphysics; multi-component; PDE simulation; physical simulation; generative
399	MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Authors: Peter Eckmann; Dongxia Wu; Germano Heinzelmann; Michael K Gilson; Rose Yu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: drug discovery; multi-fidelity learning; active learning
400	MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction Authors: yeyunchen; Jiangming Shi Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: graph prompt; molecule property prediction
401	Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators Authors: Shanda Li; Shinjae Yoo; Yiming Yang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Fourier Neural Operators; Hyperparameter transfer
402	Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training Authors: Minghao Xu; Jiaze Song; Keming Wu; Xiangxin Zhou; Bin CUI; Wentao Zhang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Glycan Machine Learning; Heterogeneous Graph Modeling; Self-Supervised Pre-training
403	Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks Authors: Rohit Sonker; Alexandre Capone; Andrew Rothstein; Hiro Josep Farre Kaga; Egemen Kolemen; Jeff Schneider Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Nuclear Fusion; Plasma Instabilities; Bayesian Optimization; Applied Machine Learning
404	MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Authors: Qi Wang; Yuan Mi; Wang Haoyun; Yi Zhang; Ruizhi Chengze; Hongsheng Liu; Ji-Rong Wen; Hao Sun Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: physics-informed learning; multiscale time stepping; spatiotemporal dynamics; PDEs
405	NMA-tune: Generating Highly Designable and Dynamics Aware Protein Backbones Authors: Urszula Julia Komorowska; Francisco Vargas; Alessandro Rondina; Pietro Lio; Mateja Jamnik Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: generative models; diffusion models; protein design; conditional protein generation
406	Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning Authors: Runzhong Wang; Rui-Xi Wang; Mrunali Manjrekar; Connor W. Coley Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Retrieval Augmented Generation; Graph Matching; Mass Spectrometry; AI for Science
407	Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery Authors: Ning Liu; Yue Yu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Neural Operators; Physics Discovery; Attention Mechanism; Inverse PDE problems
408	Offline Model-based Optimization for Real-World Molecular Discovery Authors: Dong-Hee Shin; Young-Han Son; Hyun Jung Lee; Deok-Joong Lee; Tae-Eui Kam Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI for Science; Offline Model-based Optimization; Molecular Optimization
409	OmniArch: Building Foundation Model for Scientific Computing Authors: Tianyu Chen; Haoyi Zhou; Ying Li; Hao Wang; Chonghan Gao; Rongye Shi; Shanghang Zhang; Jianxin Li Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI for Science; Partial Differential Equations(PDEs); Foundation Model
410	OneForecast: A Universal Framework for Global and Regional Weather Forecasting Authors: Yuan Gao; Hao Wu; Ruiqi Shu; huanshuo dong; Fan Xu; Rui Ray Chen; Yibo Yan; Qingsong Wen; Xuming Hu; Kun Wang; Jiahao Wu; Li Qing; Hui Xiong; Xiaomeng Huang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI for Science; AI for Earth; Weather Forecasting; Earth System Science
411	Open Materials Generation with Stochastic Interpolants Authors: Philipp Höllmer; Thomas Egg; Maya Martirossyan; Eric Fuemmeler; Zeren Shui; Amit Gupta; Pawan Prakash; Adrian Roitberg; Mingjie Liu; George Karypis; Mark Transtrum; Richard Hennig… Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: stochastic interpolants; generative models; inorganic crystals; materials design
412	PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Authors: Benjamin Holzschuh; Qiang Liu; Georg Kohl; Nils Thuerey Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: physics simulations; PDEs; transformer architectures; scalability
413	PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction Authors: Liming Shen; Liang Deng; Chongke Bi; Yu Wang; Xinhai Chen; Yueqing Wang; Jie Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Implicit Neural Representation; Time-varying data visualization; Standard benchmark datasets; High-fidelity flow field reconstruction; Physical encoding
414	PINNsAgent: Automated PDE Surrogation with Large Language Models Authors: Qingpo Wuwu; Chonghan Gao; Tianyu Chen; Yihang Huang; Yuekai Zhang; Jianing Wang; Jianxin Li; Haoyi Zhou; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: pinns; llm-agent
415	PPDiff: Diffusing in Hybrid Sequence-Structure Space for Protein-Protein Complex Design Authors: Zhenqiao Song; Tianxiao Li; Lei Li; Martin Renqiang Min Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: protein complex design; protein-binding protein design; protein complex sequence and structure co-design
416	Perceptually Constrained Precipitation Nowcasting Model Authors: Wenzhi Feng; Xutao Li; Zhe Wu; Kenghong Lin; Demin Yu; Yunming Ye; Yaowei Wang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Precipitation Nowcasting; Spatio-Temporal Prediction; Generative model
417	Physics-Informed Generative Modeling of Wireless Channels Authors: Benedikt Böck; Andreas Oeldemann; Timo Mayer; Francesco Rossetto; Wolfgang Utschick Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: sparse Bayesian generative modeling; wireless channel modeling; physics-informed; generative model
418	Physics-Informed Weakly Supervised Learning For Interatomic Potentials Authors: Makoto Takamoto; Viktor Zaverkin; Mathias Niepert Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: interatomic potential; physics informed method; weakly supervised method
419	Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule Authors: Keyue Qiu; Yuxuan Song; Zhehuan Fan; Peidong Liu; Zhe Zhang; Mingyue Zheng; Hao Zhou; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Structure-Based Drug Design; Bayesian Flow Network; Noise Schedule
420	PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models Authors: Fanmeng Wang; Wentao Guo; Qi Ou; Hongshuai Wang; Haitao Lin; Hongteng Xu; Zhifeng Gao Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Polymer conformation generation; Polymer modeling; Hierarchical generative models
421	Pretraining Generative Flow Networks with Inexpensive Rewards for Molecular Graph Generation Authors: Mohit Pandey; Gopeshh Subbaraj; Artem Cherkasov; Martin Ester; Emmanuel Bengio Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Generative Flow Networks; Foundation model; Drug Discovery
422	QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline Authors: Tianyi Bao; Ruizhe Zhong; Xinyu Ye; Yehui Tang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Quantum Error Mitigation; Dataset Benchmark; Graph Learning
423	Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions Authors: Jiahua Rao; Dahao Xu; Wentao Wei; Yicong Chen; Mingjun Yang; Yuedong Yang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Molecular Property Prediction; Many-body System; Quadruple Attention; Molecular Force Fields
424	QuanONet: Quantum Neural Operator with Application to Differential Equation Authors: Ruocheng Wang; Zhuo Xia; Ge Yan; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Neural Operator; Quantum Neural Networks; Differential Equations
425	RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation Authors: Jingxiang Qu; Wenhan Gao; Jiaxing Zhang; Xufeng Liu; Hua Wei; Haibin Ling; Yi Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: 3D Molecular Graphs; 3D Graph Explanation; Radius of Influence
426	ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation Authors: Angxiao Yue; Zichong Wang; Hongteng Xu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: protein backbone generation; quaternion representation; flow matching
427	Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements Authors: Manwen Liao; Yan Zhu; Weitian Zhang; Yuxiang Yang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI for Science; Quantum Property Estimation; Quantum State Characterization; Reinforcement Learning
428	Reinforcement Learning for Quantum Control under Physical Constraints Authors: Jan Ole Ernst; Aniket Chatterjee; Tim Franzmeyer; Axel Kuhn Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: reinforcement learning; quantum computing; quantum control; quantum dynamics; control theory
429	Rethink the Role of Deep Learning towards Large-scale Quantum Systems Authors: Yusheng Zhao; Chi Zhang; Yuxuan Du Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: quantum system; ground state property estimation
430	Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate Authors: Jiahe Du; Kaixiong Zhou; Xinyu Hong; Zhaozhuo Xu; Jinbo Xu; Xiao Huang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Enzyme design; Diffusion model
431	Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding Authors: Jiasheng Zhang; Delvin Ce Zhang; Shuang Liang; Zhengpin Li; Rex Ying; Jie Shao Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Knowledge Graphs; Protein Science; Representation Learning
432	Rhomboid Tiling for Geometric Graph Deep Learning Authors: Yipeng Zhang; Longlong Li; Kelin Xia Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Rhomboid tiling; geometric deep learning; molecule property classification; graph pooling
433	Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks Authors: Anas Jnini; Lorenzo Breschi; Flavio Vella Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Divergence-free symmetric tensors; Riemann Tensor Neural Networks; neural PDE surrogates; physics-constrained neural networks; PDEs; inductive bias; fluid mech…
434	SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields Authors: David Keetae Park; Xihaier Luo; Guang Zhao; Seungjun Lee; Miruna Oprescu; Shinjae Yoo Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Spatiotemporal Learning; Scientific Data; Neural Fields; Implicit Neural Representation
435	Scalable Equilibrium Sampling with Sequential Boltzmann Generators Authors: Charlie B. Tan; Joey Bose; Chen Lin; Leon Klein; Michael M. Bronstein; Alexander Tong Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Normalizing Flows; Boltzmann Generators; Annealed Importance Sampling
436	Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN Authors: Talal Widatalla; Richard W. Shuai; Brian Hie; Possu Huang Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Protein; Molecule; Diffusion; Graph-Neural-Network; Multi-task; MLM; Chemistry; Biology
437	Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data Authors: Krzysztof Kacprzyk; Julianna Piskorz; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: dynamical systems; differential equations; ODE discovery; interpretability; transparency; verification
438	Steering Protein Language Models Authors: Long-Kai Huang; Rongyi Zhu; Bing He; Jianhua Yao Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Protein Language Model; Steering; Protein Engineering
439	Sub-Sequential Physics-Informed Learning with State Space Model Authors: Chenhui Xu; Dancheng Liu; Yuting Hu; Jiajie Li; Ruiyang Qin; Qingxiao Zheng; Jinjun Xiong Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Physics-Informed Neural Networks; State Space Model
440	Symmetry-Driven Discovery of Dynamical Variables in Molecular Simulations Authors: Jeet Mohapatra; Nima Dehmamy; Csaba Both; Subhro Das; Tommi Jaakkola Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: AI4Science; Molecular Dynamics; Second Order Methods; Symmetry Discovery
441	TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness Authors: Cheng Huang; Pan Mu; Cong Bai; Peter AG Watson Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Tropical Cyclone; Precipitation Forecasting; Diffusion Model
442	Temperature-Annealed Boltzmann Generators Authors: Henrik Schopmans; Pascal Friederich Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: boltzmann generators; normalizing flows; molecular systems; variational sampling
443	Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation Authors: Yiming Yang; Xiaoyuan Cheng; Daniel Giles; Sibo Cheng; Yi He; Xiao Xue; Boli Chen; Yukun Hu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Data assimilation; Dynamical system
444	Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Authors: Christian Pedersen; Laure Zanna; Joan Bruna Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Diffusion models; Physics; Fluid Dynamics; Turbulence; Emulators; Surrogate Models
445	Topology-aware Neural Flux Prediction Guided by Physics Authors: Haoyang Jiang; Jindong Wang; Xingquan Zhu; Yi He Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Physics guided machine learning; Graph neural network; Topology-aware; Flux prediction
446	TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction Authors: Shi Yin; Xinyang Pan; Fengyan Wang; Lixin He Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Atomic System Modeling; Electronic-structure Hamiltonian prediction; SO(3)-equivariant representation learning; Non-linear expressiveness
447	UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation Authors: Wangzhi Zhan; Jianpeng Chen; Dongqi Fu; Dawei Zhou Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: metamaterial; topology generation; property prediction
448	UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules Authors: Ziyang Yu; Wenbing Huang; Yang Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: molecular dynamics; unified 3D molecular pretraining; forward simulation; cross-domain transferability
449	Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach Authors: Zhigaoyuan Wang; Ying Sun; Hengshu Zhu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Geographical Modeling
450	Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems Authors: Shilong Tao; Zhe Feng; Haonan Sun; Zhanxing Zhu; Yunhuai Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Deep Learning; Multi-solid Systems; Explicit modeling
451	WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction Authors: Fanmeng Wang; Minjie Cheng; Hongteng Xu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Molecular ground-state conformation; Molecular modeling; Wasserstein gradient flow
452	Wyckoff Transformer: Generation of Symmetric Crystals Authors: Nikita Kazeev; Wei Nong; Ignat Romanov; Ruiming Zhu; Andrey E Ustyuzhanin; Shuya Yamazaki; Kedar Hippalgaonkar Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: material design; machine learning; crystal generation; space group symmetry; Transformer; Wyckoff position; generative model; autoregressive model; permutation…
453	WyckoffDiff – A Generative Diffusion Model for Crystal Symmetry Authors: Filip Ekström Kelvinius; Oskar B. Andersson; Abhijith S Parackal; Dong Qian; Rickard Armiento; Fredrik Lindsten Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: generative modeling; materials science; materials generation; diffusion models; discrete diffusion models; Wyckoff
454	Zebra: In-Context Generative Pretraining for Solving Parametric PDEs Authors: Louis Serrano; Armand Kassaï Koupaï; Thomas X Wang; Pierre ERBACHER; Patrick Gallinari Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: PDE; Domain adaptation; In-Context Learning; Generative Pre-training; Autoregressive Transformer
455	Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints Authors: Dapeng Jiang; Xiangzhe Kong; Jiaqi Han; Mingyu Li; Rui Jiao; Wenbing Huang; Stefano Ermon; Jianzhu Ma; Yang Liu Affiliation: 官方页面未列出 Official area / track: applications->chemistry_physics_and_earth_sciences Recognition: Poster/Regular Keywords: Cyclic peptide design; diffusion model; geometrically constrained generation
456	3D Question Answering via only 2D Vision-Language Models Authors: FENGYUN WANG; Sicheng Yu; Jiawei Wu; Jinhui Tang; Hanwang Zhang; Qianru Sun Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Question Answering; 2D Vision-Language Models
457	3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors Authors: Yujun Huang; Bin Chen; Niu Lian; Xin Wang; Baoyi An; Tao Dai; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multi-View Image Compression; 3D Gaussian Splatting; Deep Learning
458	A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators Authors: Han Zhou; Jordy Van Landeghem; Teodora Popordanoska; Matthew B. Blaschko Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Selective classifier; Area Under the Risk-Coverage Curve
459	ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization Authors: Wenhao Shen; Wanqi Yin; Xiaofeng Yang; Cheng Chen; Chaoyue Song; Zhongang Cai; Lei Yang; Hao Wang; Guosheng Lin Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: human mesh recovery; direct preference optimization
460	AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment Authors: Yuqin Cao; Xiongkuo Min; Yixuan Gao; Wei Sun; Guangtao Zhai Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: AI-Generated; Audio-visual; Quality Assessment; Large Multimodal Model
461	Action Dubber: Timing Audible Actions via Inflectional Flow Authors: Wenlong Wan; Weiying Zheng; Tianyi Xiang; Guiqing Li; Shengfeng He Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Video Understanding; Temporal Localization
462	Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation Authors: Laura Yu Zheng; Wenjie Wei; Tony Wu; Jacob Clements; Shreelekha Revankar; Andre Harrison; Yu Shen; Ming Lin Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: image segmentation; augmentation; robustness; heuristic; natural corruptions; adverse weather
463	An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability Authors: Daiqing Wu; Dongbao Yang; Sicheng Zhao; Can Ma; Yu Zhou Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multimodal Sentiment Analysis; Multimodal Large Language Model; In-Context Learning
464	Are High-Quality AI-Generated Images More Difficult for Models to Detect? Authors: Yao Xiao; Binbin Yang; Weiyan Chen; Jiahao Chen; Zijie Cao; ZiYi Dong; Xiangyang Ji; Liang Lin; Wei Ke; Pengxu Wei Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: AI-generated image detection; human preference; text-to-image generation
465	Asymmetric Decision-Making in Online Knowledge Distillation: Unifying Consensus and Divergence Authors: Zhaowei Chen; Borui Zhao; Yuchen Ge; Yuhao Chen; Renjie Song; Jiajun Liang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: knowledge distillation
466	Attributes Shape the Embedding Space of Face Recognition Models Authors: Pierrick Leroy; Antonio Mastropietro; Marco Nurisso; Francesco Vaccarino Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Face Recognition; Representation Learning; Interpretability; Embeddings; Contrastive Loss
467	BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training Authors: Chenyi yang; Wenjie Nie; Yuxin Zhang; Yuhang Wu; Xiawu Zheng; GUANNAN JIANG; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Convolution Neural Networks; N:M Sparsity; Network Pruning
468	Balanced Learning for Domain Adaptive Semantic Segmentation Authors: Wangkai Li; Rui Sun; Bohao Liao; Zhaoyang Li; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Semantic segmentation; Unsupervised domain adaptation
469	Balancing Preservation and Modification: A Region and Semantic Aware Metric for Instruction-Based Image Editing Authors: Zhuoying Li; Zhu Xu; Yuxin Peng; Yang Liu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image Editing; Evaluation Metric
470	Beyond Confidence: Exploiting Homogeneous Pattern for Semi-Supervised Semantic Segmentation Authors: Rui Sun; Huayu Mai; Wangkai Li; Yujia Chen; Naisong Luo; Yuan Wang; Tianzhu Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Semantic Segmentation
471	Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts Authors: Gengluo Li; Huawen Shen; Yu Zhou Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Scene text retrieval; Multimodal retrieval; Text understanding; Text layout
472	Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation Authors: Zixuan Hu; Yichun Hu; Xiaotong Li; SHIXIANG TANG; LINGYU DUAN Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Test-Time Adaptation; Transfer Learning
473	BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution Authors: Kai Liu; Kaicheng Yang; Zheng Chen; Zhiteng Li; Yong Guo; Wenbo Li; Linghe Kong; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: super-resolution; one-step diffusion; binarization; quantization
474	Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark Authors: Bingchen Miao; Yang Wu; Minghe Gao; Qifan Yu; Wendong Bu; Wenqiao Zhang; Yunfei Li; Siliang Tang; Tat-Seng Chua; Juncheng Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Virtual Agent; Digital Agent; Reward Model
475	CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing Authors: Yu Yuan; Shizhao Sun; Qi Liu; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Computer Aided Design; Generative Models; Text-based Editing; Large Language Models
476	CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism Authors: Ziming Zhu; Yu Zhu; Jiahao Chen; LingXiaofeng; Huanlei Chen; Lihua Sun Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Semantic Occupancy Prediction; Semantic Segmentation; Autonomous Driving; Temporal Information; State Space Model; Voting Mechanism
477	CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty Authors: Harry Zhang; Luca Carlone Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Human Pose-Shape Learning with Uncertainty
478	Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing Authors: Kaifeng Gao; Jiaxin Shi; Hanwang Zhang; Chunping Wang; Jun Xiao; Long Chen Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Video Generation; Video Diffusion Model
479	Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention Authors: Dejia Xu; Yifan Jiang; Chen Huang; Liangchen Song; Thorsten Gernoth; Liangliang Cao; Zhangyang Wang; Hao Tang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Video Generation; Camera Control; 3D Consistency
480	CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization Authors: Dasol Hong; Wooju Lee; Hyun Myung Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Context optimization; Prompt tuning; Vision-language models
481	Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation Authors: Renhao Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Semantic segmentation; wavelet transform; steerable pyramid; mutual information
482	Componential Prompt-Knowledge Alignment for Domain Incremental Learning Authors: Kunlun Xu; Xu Zou; Gang Hua; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Domain Incremental learning; Image Classification
483	ConText: Driving In-context Learning for Text Removal and Segmentation Authors: Fei Zhang; Pei Zhang; Baosong Yang; Fei Huang; Yanfeng Wang; Ya Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: In-context learning; text removal; text segmentation
484	Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective Authors: Hao Dai; Jagmohan Chauhan Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Continual Learning; Generalized Category Discovery; Variational Bayes
485	Contrastive Visual Data Augmentation Authors: Yu Zhou; Bingxuan Li; Tang Mohan; Xiaomeng Jin; Te-Lin Wu; Kuan-Hao Huang; Heng Ji; Kai-Wei Chang; Nanyun Peng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Data Augmentation; Text-to-Image Generation; Feature Extraction
486	Control and Realism: Best of Both Worlds in Layout-to-Image without Training Authors: Bonan Li; Yinhan Hu; Songhua Liu; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Layout-to-Image generation; Training-free
487	CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering Authors: Zhe Zhang; Mingxiu Cai; Hanxiao Wang; Gaochang Wu; Tianyou Chai; Xiatian Zhu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Unsupervised anomaly detection; CostFilter-AD; 3D matching cost volume; Generic post-processing
488	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs Authors: Jinda Lu; Junkang Wu; Jinghan Li; Xiaojun Jia; Shuo Wang; YiFan Zhang; Junfeng Fang; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multi-modal Large Language Models; Preference Optimization
489	DCBM: Data-Efficient Visual Concept Bottleneck Models Authors: Katharina Prasse; Patrick Knab; Sascha Marton; Christian Bartelt; Margret Keuper Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Explainable AI; concept bottleneck models; foundation models
490	DVI:A Derivative-based Vision Network for INR Authors: Runzhao Yang; Xiaolong Wu; Zhihong Zhang; Fabian Zhang; Tingxiong Xiao; Zongren Li; Kunlun He; Jinli Suo Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Data Compression; Implicit Neural Representation
491	David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training Authors: Weijian Luo; colin zhang; Debing Zhang; Zhengyang Geng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: One-step Text-to-image Generative Models; Reinforcement Learning; Human Feedback; Diffusion Models
492	Decomposition of Graphic Design with Unified Multimodal Model Authors: Hui Nie; Zhao Zhang; Yutao Cheng; Maoke Yang; Gonglei Shi; Qingsong Xie; Jie Shao; Xinglong Wu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Layer Decomposition; Graphic Design; Unified Multimodal Model
493	Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Authors: Qirui Wu; Shizhou Zhang; De Cheng; Yinghui Xing; Di Xu; PENG WANG; Yanning Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Object Detection; Continual Learning
494	Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts Authors: Kun Cheng; Xiao He; Lei Yu; Zhijun Tu; Mingrui Zhu; Nannan Wang; Xinbo Gao; Jie Hu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Transformer; Mixture of Experts; Image Generation
495	Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering Authors: Zhaohe Liao; Jiangtong Li; Siyu Sun; Qingyang Liu; Fengshun Xiao; Tianjiao Li; Qiang Zhang; Guang Chen; Li Niu; Changjun Jiang; Liqing Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: video question-answering; multi-modal large language model
496	DocVXQA: Context-Aware Visual Explanations for Document Question Answering Authors: Mohamed Ali Souibgui; Changkyu Choi; Andrey Barsky; Kangsoo Jung; Ernest Valveny; Dimosthenis Karatzas Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Document Intelligence; Explainability; Self-explainable Deep Learning; Vision and Language
497	DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model Authors: Siwei Xia; Li Sun; Tiantian Sun; Qingli Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Computer Vision; Generative Model; Diffusion Model; Image Editing
498	DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization Authors: Zhenglin Zhou; Xiaobo Xia; Fan Ma; Hehe Fan; Yi Yang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Generation; Human Preference; Direct Preference Optimization
499	DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation Authors: Changshuo Wang; Xiang Fang; Prayag Tiwari Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Dynamic Convolution; Taylor Series; Prototype Completion; Few-shot; Point Cloud; Semantic Segmentation
500	EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation Authors: Jiawei Cao; Chaochen Gu; Hao Cheng; Xiaofeng Zhang; Kaijie Wu; Changsheng Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Instance Segmentation; Learnable Elliptical Fourier Descriptor; Contour Prediction
501	Efficient Motion Prompt Learning for Robust Visual Tracking Authors: Jie Zhao; Xin Chen; Yongsheng Yuan; Michael Felsberg; Dong Wang; Huchuan Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: visual object tracking; temporal encoding; prompt learning
502	Efficient Multi-modal Long Context Learning for Training-free Adaptation Authors: Zehong Ma; Shiliang Zhang; Longhui Wei; Qi Tian Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multi-modal Long Context Learning; Training-free Adaptation; Adaptive Pruning
503	Efficient Noise Calculation in Deep Learning-based MRI Reconstructions Authors: Onat Dalmaz; Arjun D Desai; Reinhard Heckel; Tolga Cukur; Akshay S Chaudhari; Brian Hargreaves Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: MRI reconstruction; deep learning; noise; uncertainty quantification; Jacobian; sketching; Monte-Carlo; robustness
504	Elucidating the design space of language models for image generation Authors: Xuantong LIU; Shaozhe Hao; Xianbiao Qi; Tianyang Hu; Jun Wang; Rong Xiao; Yuan Yao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image generation; Large language model; Generative model
505	Enhancing Foundation Models with Federated Domain Knowledge Infusion Authors: Jiaqi Wang; Jingtao Li; Weiming Zhuang; Chen Chen; Lingjuan Lyu; Fenglong Ma Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Federated Learning; Foundation Model
506	Enhancing Visual Localization with Cross-Domain Image Generation Authors: Yuanze Wang; Yichao Yan; Shiming Song; Songchang Jin; Yilan Huang; Xingdong Sheng; Dianxi Shi Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Cross-Domain Visual Localization; Image Generation; 3D Gaussian Splatting; Image Editing
507	EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams Authors: Lin Zhu; Xiantao Ma; Xiao Wang; Lizhi Wang; Hua Huang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Event-based reconstruction
508	Event-Customized Image Generation Authors: Zhen Wang; Yilei JIANG; Dong Zheng; Jun Xiao; Long Chen Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Customized Image Generation; Diffusion Model
509	Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models Authors: Chao Huang; Yushu Shi; Jie Wen; Wei Wang; Yong Xu; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Visual Language Model; Label Enhancement; Video Anomaly Detection
510	Exploring Invariance in Images through One-way Wave Equations Authors: Yinpeng Chen; Dongdong Chen; Xiyang Dai; Mengchen Liu; Yinan Feng; Youzuo Lin; Lu Yuan; Zicheng Liu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Mathematical invariance in images; One-way wave equation; Auto-regression
511	Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding Authors: Yixin Zha; Chuxin Wang; Wenfei Yang; Tianzhu Zhang; Feng Wu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: point cloud understanding; point cloud analysis; 3D computer vision
512	ExtPose: Robust and Coherent Pose Estimation by Extending ViTs Authors: Rongyu Chen; Li'an Zhuo; Linlin Yang; Qi WANG; Liefeng Bo; Bang Zhang; Angela Yao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Pose Estimation; Transformer
513	FeatSharp: Your Vision Model Features, Sharper Authors: Mike Ranzinger; Greg Heinrich; Pavlo Molchanov; Bryan Catanzaro; Andrew Tao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: computer vision; perception; upsampling
514	Feature out! Let Raw Image as Your Condition for Blind Face Restoration Authors: Xinmin Qiu; Chen Gege; Bonan Li; Congying Han; Tiande Guo; Zicheng Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Blind Face Restoration; Schrödinger Bridge
515	Few-Shot Learner Generalizes Across AI-Generated Image Detection Authors: Shiyu Wu; Jing Liu; Jing Li; Yequan Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Deepfake Detection; Synthetic Image Detection; Few-Shot Learning
516	Fine-Grained Captioning of Long Videos through Scene Graph Consolidation Authors: Sanghyeok Chu; Seonguk Seo; Bohyung Han Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Long video captioning; zero-shot video captioning; scene graph
517	Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation Authors: Junlin Han; Jianyuan Wang; Andrea Vedaldi; Philip Torr; Filippos Kokkinos Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Generation; 3D Reconstruction; Large 3D Models
518	FlexiReID: Adaptive Mixture of Expert for Multi-Modal Person Re-Identification Authors: Zhen Sun; Lei Tan; Yunhang Shen; Chengmao Cai; Xing Sun; Pingyang Dai; Liujuan Cao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: ReID; MOE; Flexible Retrieval
519	FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining Authors: Dong Li; Yidi Liu; Xueyang Fu; Jie Huang; Senyan Xu; Qi Zhu; Zheng-Jun Zha Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Fourier; deraining; Mamba
520	FreeMesh: Boosting Mesh Generation with Coordinates Merging Authors: Jian Liu; Haohan Weng; Biwen Lei; Xianghui Yang; Zibo Zhao; Zhuo Chen; Song Guo; Tao Han; Chunchao Guo Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: auto-regressive transformer; mesh tokenizer; information entropy; coordinates merge
521	From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs Authors: Ang Cao; Sergio Arnaud; Oleksandr Maksymets; Jianing Yang; Ayush Jain; Ada Martin; Vincent-Pierre Berges; Paul McVay; Ruslan Partsey; Aravind Rajeswaran; Franziska Meier; Justin J… Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D language grounding; Pretraining; Training 3D model using 2D
522	FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks Authors: Quansong He; Xiangde Min; Kaishen Wang; Tao He Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Feature Fusion; Medical Image Segmentation; Ordinary Differential Equation
523	Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition Authors: Chong Zhang; Peng Zhang; Mengke Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Synthetic aperture radar; Automatic target recognition
524	GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder Authors: Shiming Chen; Dingjie Fu; Salman Khan; Fahad Shahbaz Khan Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Zero-shot learning; transfer learning
525	Generalizable Multi-Camera 3D Object Detection from a Single Source via Fourier Cross-View Learning Authors: Xue Zhao; Qinying Gu; Xinbing Wang; Chenghu Zhou; Nanyang Ye Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Domain generalization; multi-camera 3D object detection; augmentation
526	Generative Point Cloud Registration Authors: Haobo Jiang; Jin Xie; jian Yang; liang yu; Jianmin Zheng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: point cloud registration
527	GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing Authors: Akashah Shabbir; Mohammed Zumri; Mohammed Bennamoun; Fahad Shahbaz Khan; Salman Khan Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Large Multimodal Models (LMMs); Remote Sensing (RS); Vision Language Models (VLMs); Computer Vision; Segmentation; Pixel Grounding
528	Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning Authors: Xiangqi Li; Libo Huang; Zhulin An; Weilun Feng; Chuanguang Yang; Boyu Diao; Fei Wang; Yongjun Xu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D point cloud; few-shot learning; class-incremental learning
529	GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction Authors: Muleilan Pei; Shaoshuai Shi; Lu Zhang; Peiliang Li; Shaojie Shen Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Autonomous Driving; Trajectory Prediction; Inverse Reinforcement Learning
530	HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration Authors: Yushi Huang; Zining Wang; Ruihao Gong; Jing Liu; Xinjie Zhang; Jinyang Guo; Xianglong Liu; Jun Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: diffusion transformer; acceleration; feature caching
531	HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion Authors: Mengting Ma; Yizhen Jiang; Mengjiao Zhao; Jiaxin Li; Wei Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image Fusion; heterogeneous graph; remote sensing pansharpening
532	Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots Authors: Guangting Zheng; Yehao Li; Yingwei Pan; Jiajun Deng; Ting Yao; Yanyong Zhang; Tao Mei Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Masked Autoregressive Models; Image Generation
533	History-Guided Video Diffusion Authors: Kiwhan Song; Boyuan Chen; Max Simchowitz; Yilun Du; Russ Tedrake; Vincent Sitzmann Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: diffusion; video; guidance; generative models; 3d
534	How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Authors: Yining Pan; Qiongjie Cui; Xulei Yang; Na Zhao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: LiDAR and Image Perception; Multi-sensor; Panoptic Segmentation
535	Human Body Restoration with One-Step Diffusion Model and A New Benchmark Authors: Jue Gong; Jingkai Wang; Zheng Chen; Xing Liu; Hong Gu; Yulun Zhang; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: One-Step Diffusion Model; Human Body Restoration
536	HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder Authors: Qi Yang; Le Yang; Geert Van der Auwera; Zhu Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; Compression; Sparse Representation
537	IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models Authors: Hanting Wang; Tao Jin; Wang Lin; Shulei Wang; Hai Huang; Shengpeng Ji; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image Restoration; Diffusion Models; Bridge Models
538	Impossible Videos Authors: Zechen Bai; Hai Ci; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Videos; Benchmark; Evaluation; Impossible Videos; Counterfactual; Anti-reality
539	Improving Compositional Generation with Diffusion Models Using Lift Scores Authors: Chenning Yu; Sicun Gao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Models; Training-free; Rejection Sampling
540	Improving LLM Video Understanding with 16 Frames Per Second Authors: Yixuan Li; Changli Tang; Jimin Zhuang; Yudong Yang; Guangzhi Sun; Wei Li; Zejun MA; Chao Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multi-modal large language models; high-frame-rate video understanding; video LLM
541	Instruct2See: Learning to Remove Any Obstructions Across Distributions Authors: Junhang Li; Yu Guo; Chuhua XIAN; Shengfeng He Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: computer vision; image restoration
542	IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models Authors: Hang Guo; Yawei Li; Tao Dai; Shu-Tao Xia; Luca Benini Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Low-rank Adaptation; Network Quantization; Diffusion Models
543	L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation Authors: Weihan Li; Linyun Zhou; YangJian; Shengxuming Zhang; Xiangtong Du; Xiuming Zhang; Jing Zhang; ChaoqingXu; Mingli Song; Zunlei Feng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Model; Contrastive Learning; Multi-label Segmentation; Pathological slides
544	LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification Authors: Yiding Lu; Mouxing Yang; Dezhong Peng; Peng Hu; Yijie Lin; Xi Peng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Person Re-Identification; Interactive Retrieval
545	LRA-QViT: Integrating Low-Rank Approximation and Quantization for Robust and Efficient Vision Transformers Authors: Beom Jin Kang; NamJoon Kim; Hyun Kim Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Vision Transformer; Compression; Low-Rank Approximation; Quantization
546	Large Displacement Motion Transfer with Unsupervised Anytime Interpolation Authors: Guixiang Wang; Jianjun Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image animation; action generation; Unsupervised Interpolation
547	Learning Adaptive Lighting via Channel-Aware Guidance Authors: Qirui Yang; Peng-Tao Jiang; Hao Zhang; Jinwei Chen; Bo Li; Huanjing Yue; Jingyu Yang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Exposure Correction; Retouching; Image Enhancement
548	Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization Authors: Peng Wang; Yong Li; Lin Zhao; Xiu-Shen Wei Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Large-Scale Fine-Grained Image Retrieval; Learning-to-Hash; Attribute-Aware; Deep Learning
549	Learning Event Completeness for Weakly Supervised Video Anomaly Detection Authors: Yu Wang; Shiwei Chen Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Weakly-supervised video anomaly detection; multi-modal video understanding
550	LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos Authors: Yujun Shi; Jun Hao Liew; Hanshu Yan; Vincent Y. F. Tan; Jiashi Feng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: drag-based image editing; diffusion model
551	Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model Authors: Fei Shen; Cong Wang; Junyao Gao; Qin Guo; Jisheng Dang; Jinhui Tang; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Model; TalkingFace; Pose
552	MIRROR: Make Your Object-Level Multi-View Generation More Consistent with Training-Free Rectification Authors: Tianchi Xing; Bonan Li; Congying Han; Xinmin Qiu; Zicheng Zhang; Tiande Guo Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Generation; Diffusion Model; Training-Free
553	MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation Authors: Jiawen Wang; Yinda Chen; Xiaoyu Liu; Che Liu; Dong Liu; Jianqing Gao; Zhiwei Xiong Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: domain adaptation; unsupervised learning; masked image modeling; semantic segmentation; complementary masking
554	MiraGe: Editable 2D Images using Gaussian Splatting Authors: Joanna Waczynska; Tomasz Szczepanik; Piotr Borycki; Slawomir Tadeja; Thomas Bohné; Przemysław Spurek Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Gaussian Splatting; image reconstruction; INR
555	MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition Authors: Yuhuan Yang; Chaofan Ma; Zhenjie Mao; Jiangchao Yao; Ya Zhang; Yanfeng Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Video Recognition; PEFT; Mamba; Adapter
556	More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions Authors: Bishoy Galoaa; Somaieh Amraee; Sarah Ostadabbas Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Multi-object tracking; occlusion handling; deformable transformers; softmax splatting; optical flow estimation; enhanced track embedding; computer vision; moti…
557	MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost Authors: Sen Xing; Muyan Zhong; Zeqiang Lai; Liangchen Li; Jiawen Liu; Yaohui Wang; Jifeng Dai; Wenhai Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image Generation
558	Multi-Modal Object Re-identification via Sparse Mixture-of-Experts Authors: Yingying Feng; Jie Li; Chi Xie; Lei Tan; Jiayi Ji Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Object Re-identification; Multi-Modal Learning; Mixture-of-Experts
559	Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer Authors: Yabo Liu; Waikeung Wong; Chengliang Liu; Xiaoling Luo; Yong Xu; Jinghua Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: computer vision; transfer learning; domain adaptation
560	Not All Tokens Matter All The Time: Dynamic Token Aggregation Towards Efficient Detection Transformers Authors: Jiacheng Cheng; Xiwen Yao; Xiang Yuan; Junwei Han Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: detection transformer; efficient model; token merging
561	One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation Authors: Jianze Li; Jiezhang Cao; Yong Guo; Wenbo Li; Yulun Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: One step Diffusion; FLUX.1-dev; flow matching models; Image Super Resolution
562	Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models Authors: Zehan Wang; Ziang Zhang; Tianyu Pang; Chao Du; Hengshuang Zhao; Zhou Zhao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Object pose; Orientation
563	Origin Identification for Text-Guided Image-to-Image Diffusion Models Authors: Wenhao Wang; Yifan Sun; Zongxin Yang; Zhentao Tan; Zhengdong Hu; Yi Yang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Models; Origin Identification
564	PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis Authors: Sunghwan Hong; Jaewoo Jung; Heeseong Shin; Jisang Han; Jiaolong Yang; Chong Luo; Seungryong Kim Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Pose-free; novel view synthesis; 3D reconstruction
565	PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop Authors: Chenyu Li; Oscar Michel; Xichen Pan; Sainan Liu; Mike Roberts; Saining Xie Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: video generation models; intuitive physics; world model
566	Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting Authors: Hongbi Zhou; Zhangkai Ni Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Novel View Synthesis; 3D Gaussian Splatting; Adaptive Density Control; Human Visual System
567	PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals Authors: Xinghe Fu; Zhiyuan Yan; Zheng Yang; Taiping Yao; Yandan Zhao; Shouhong Ding; Xi Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: AIGC detection; Generative models; Deepfakes; Deep learning; Image representation; Low-level vision
568	Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion Authors: Xingpei Ma; Jiaran Cai; Yuansheng Guan; Shenneng Huang; Qiang Zhang; Shunsi Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion; Portrait Animation; Transformer; Audio-driven
569	Point Cloud Dataset Distillation Authors: Deyu Bo; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Dataset Distillation; Point Cloud
570	Predicting High-precision Depth on Low-Precision Devices Using 2D Hilbert Curves Authors: Mykhail Uss; Ruslan Yermolenko; Oleksii Shashko; Olena Kolodiazhna; Ivan Safonov; Volodymyr Savin; Yoonjae Yeo; Seowon Ji; Jaeyun Jeong Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: dense depth prediction; depth-from-stereo; on-device deployment; low-end devices; low-precision computations; high dynamic range; hilbert curve; quantization
571	Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models Authors: Xuelin Shen; Jiayin Xu; Kangsheng Yin; Wenhan Yang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Privacy Safeguard; Backdoor Attack; Vision-Language Pretrained Models; Learned Image Compression
572	Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes Authors: Jie Liu; Pan Zhou; Zehao Xiao; Jiayi Shen; Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Interactive 3D Segmentation; Probabilistic Model; Neural Processes; Uncertainty Estimation
573	Probing Visual Language Priors in VLMs Authors: Tiange Luo; Ang Cao; Gunhee Lee; Justin Johnson; Honglak Lee Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Visual Language Model; Visual Language Priors; DPO
574	RUN: Reversible Unfolding Network for Concealed Object Segmentation Authors: Chunming He; Rihan Zhang; Fengyang Xiao; Chengyu Fang; Longxiang Tang; Yulun Zhang; Linghe Kong; Deng-Ping Fan; Kai Li; Sina Farsiu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Concealed object segmentation; Deep unfolding network; Reversible modeling strategy; Camouflaged object detection
575	ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding Authors: Xingyu Fu; Minqian Liu; Zhengyuan Yang; John Richard Corring; Yijuan Lu; Jianwei Yang; Dan Roth; Dinei Florencio; Cha Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Visual Chain of Thought; Visual Prompting; Table; Chart; Vision Language Model; Multimodal LLMs; Visual Programming
576	ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering Authors: Lufei Liu; Tor M. Aamodt Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Computer Graphics; Neural Network Inference; Training-Free Optimization; Feature Caching; Inference Acceleration
577	RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning Authors: Yuanhuiyi Lyu; Xu Zheng; Lutao Jiang; Yibo Yan; Xin Zou; Huiyu Zhou; Linfeng Zhang; Xuming Hu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Self-reflective Contrastive Learning; Real-object-based RAG
578	Rethinking Score Distilling Sampling for 3D Editing and Generation Authors: Xingyu Miao; Haoran Duan; Yang Long; Jungong Han Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Score Distilling Sampling; 3D Editing and Generation
579	Robust Secure Swap: Responsible Face Swap With Persons of Interest Redaction and Provenance Traceability Authors: Yunshu Dai; Jianwei Fei; Fangjun Huang; Chip Hong Chang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Face swap; generative adversarial networks; responsible and ethical AI; provenance tracing
580	S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking Authors: Tao Tang; Lijun Zhou; Pengkun Hao; Zihang He; Kalok Ho; Shuo Gu; Zhihui Hao; Haiyang Sun; Kun Zhan; Peng Jia; XianPeng Lang; Xiaodan Liang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Multi-Object Tracking; S2-Track
581	SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding Authors: Woohyeon Park; Woojin Kim; Jaeik Kim; Jaeyoung Do Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Vision-Language Model; Hallucination; Selective and Contrastive Decoding
582	SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems Authors: Ismail Alkhouri; Shijun Liang; Cheng-Han Huang; Jimmy Dai; Qing Qu; Saiprasad Ravishankar; Rongrong Wang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Model; Inverse Problems; Image Restoration; MRI
583	SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images Authors: Jiannian Wang; Yao Lu; Guangming Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: image steganography; Generative stegandgraphy; Secure; Key
584	SafeMap: Robust HD Map Construction from Incomplete Observations Authors: Xiaoshuai Hao; Lingdong Kong; Rong Yin; Pengwei Wang; Jing Zhang; Yunfeng Diao; Shu Zhao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 官方列表未公开
585	Scaling Large Motion Models with Million-Level Human Motions Authors: Ye Wang; Sipeng Zheng; Bin Cao; Qianshan Wei; Weishuai Zeng; Qin Jin; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: motion generation
586	Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More Authors: Feng Wang; Yaodong Yu; Wei Shao; Yuyin Zhou; Alan Yuille; Cihang Xie Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Scaling law; Patchification
587	Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation Authors: Zhihua Liu; Amrutha Saseendran; Lei Tong; Xilin He; Fariba Yousefi; Nikolay Burlutskiy; Dino Oglic; Tom Diethe; Philip Alexander Teare; Huiyu Zhou; Chen Jin Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Visual Prompt Learning; Grounded Segmentation; Multimodal Prompt Learning; Diffusion Model
588	Semantics-aware Test-time Adaptation for 3D Human Pose Estimation Authors: Qiuxia Lin; Rongyu Chen; Kerui Gu; Angela Yao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Test-time Adaptation; 3D Human Pose Estimation
589	Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images Authors: Yan Zhong; Chenxi Yang; Suyuan Zhao; Tingting Jiang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: BIQA; Semi-supervised Learning; Pseudo-labels; Confidence Learning; Real-world Distorted Images
590	Separating Knowledge and Perception with Procedural Data Authors: Adrian Rodriguez-Munoz; Manel Baradad; Phillip Isola; Antonio Torralba Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: computer vision; visual memory; procedural data; deep learning
591	Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Authors: Yunhong Lu; Qichao Wang; Hengyuan Cao; Xiaoyin Xu; Min Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: diffusion models; human preference; preference optimization
592	Steerable Transformers for Volumetric Data Authors: Soumyabrata Kundu; Risi Kondor Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Equivariance; transformers; vision transformers; steerable
593	Subobject-level Image Tokenization Authors: Delong Chen; Samuel Cahyawijaya; Jianfeng Liu; Baoyuan Wang; Pascale Fung Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: image tokenization; vision-language models; image captioning; boundary detection; watershed segmentation
594	Symmetry-Robust 3D Orientation Estimation Authors: Christopher Scarvelis; David Benhaim; Paul Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3d orientation; shape analysis; 3d deep learning; geometric deep learning
595	TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes Authors: Xingcheng Zhou; Konstantinos Larintzakis; Hao Guo; Walter Zimmer; Mingyu Liu; Hu Cao; Jiajie Zhang; Venkatnarayanan Lakshminarasimhan; Leah Strand; Alois Knoll Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Traffic Scene Understanding; Video Understanding; Vision Language Model; Spatial Temporal Reasoning; Autonomous Driving
596	Tackling View-Dependent Semantics in 3D Language Gaussian Splatting Authors: Jiazhong Cen; Xudong Zhou; Jiemin Fang; Changsong Wen; Lingxi Xie; XIAOPENG ZHANG; Wei Shen; Qi Tian Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Gaussian splatting; open-vocabulary scene understanding; 3D scene understanding
597	Taming Rectified Flow for Inversion and Editing Authors: Jiangshan Wang; Junfu Pu; Zhongang Qi; Jiayi Guo; Yue Ma; Nisha Huang; Yuxin Chen; Xiu Li; Ying Shan Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion; Image Editing; Video Editing
598	Task-Gated Multi-Expert Collaboration Network for Degraded Multi-Modal Image Fusion Authors: Yiming Sun; Xin Li; Pengfei Zhu; Qinghua Hu; Dongwei Ren; Huiying Xu; Xinzhong Zhu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Degraded Multi-modal Image Fusion; Task-aware Gating; Multi-expert Collaboration
599	Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons Authors: Velibor Bojkovic; Xiaofeng Wu; Bin Gu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Spiking Neural Networks; SNN; ANN-SNN conversion; probabilistic spiking
600	Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models Authors: Ruiyu Wang; Yu Yuan; Shizhao Sun; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Large Language Models; Computer-aided Design; Text-to-CAD Generation
601	TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation Authors: Tianyi Liang; Jiangqi Liu; Yifei Huang; Shiqi Jiang; Jianshen Shi; Changbo Wang; Chenhui Li Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image Synthesis
602	The Four Color Theorem for Cell Instance Segmentation Authors: Ye Zhang; Yu Zhou; Yifeng Wang; Jun Xiao; Ziyue Wang; Yongbing Zhang; Jianxu Chen Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Cell instance segmentation; Four color theorem
603	Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage Authors: Saehyung Lee; Seunghyun Yoon; Trung Bui; Jing Shi; Sungroh Yoon Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Image captioning; Caption evaluation; Multimodal large language models; Large language models
604	Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation Authors: Fanqing Meng; Jiaqi Liao; Xinyu Tan; Quanfeng Lu; Wenqi Shao; Kaipeng Zhang; Yu Cheng; Dianqi Li; Ping Luo Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Physical Commonsense; Evaluation; World Simulator
605	Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion Authors: Anle Ke; Xu Zhang; Tong Chen; Ming Lu; Chao Zhou; Jiawen Gu; Zhan Ma Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: image compression; diffusion models; large language model
606	UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model Authors: Timo Kaiser; Thomas Norrenbrock; Bodo Rosenhahn Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Uncertainty Quantification; Segment Anything
607	Understanding Complexity in VideoQA via Visual Program Generation Authors: Cristobal Eyzaguirre; Igor Vasiljevic; Achal Dave; Jiajun Wu; Rares Andrei Ambrus; Thomas Kollar; Juan Carlos Niebles; Pavel Tokmakov Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: videoqa; complexity; codegen
608	UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Authors: Qin Guo; Ailing Zeng; Dongxu Yue; Ceyuan Yang; Yang Cao; Hanzhong Guo; Fei Shen; Wei Liu; Xihui Liu; Dan Xu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Diffusion Models; Controllable Generation; Large-Scale Dataset
609	Unifying 2D and 3D Vision-Language Understanding Authors: Ayush Jain; Alexander Swerdlow; Yuzhou Wang; Sergio Arnaud; Ada Martin; Alexander Sax; Franziska Meier; Katerina Fragkiadaki Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Language grounding
610	Unifying Specialized Visual Encoders for Video Language Models Authors: Jihoon Chung; Tyler Zhu; Max Gonzalez Saez-Diez; Juan Carlos Niebles; Honglu Zhou; Olga Russakovsky Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: video understanding; multimodal
611	Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection Authors: Peipeng Yu; Jianwei Fei; Hui Gao; Xuan Feng; Zhihua Xia; Chip Hong Chang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Deepfake Detection; Large Vision-Language Models; Prompt Tuning
612	Unlocking the Power of SAM 2 for Few-Shot Segmentation Authors: Qianxiong Xu; Lanyun Zhu; Xuanyi Liu; Guosheng Lin; Cheng Long; Ziyue Li; Rui Zhao Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Few-Shot Segmentation; Segment Anything Model 2; Video; Intra-class Gap
613	VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians Authors: Pengchong Hu; Zhizhong Han Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: 3D Gaussian Splatting; view-tied 3D Gaussians; RGBD-SLAM
614	Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval Authors: Guofeng Ding; Yiding Lu; Peng Hu; Mouxing Yang; Yijie Lin; Xi Peng Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: text-to-image retrieval; text-to-video retrieval; plug-and-play
615	Visual Autoregressive Modeling for Image Super-Resolution Authors: Yunpeng Qu; Kun Yuan; Jinhua Hao; Kai Zhao; Qizhi Xie; Ming Sun; Chao Zhou Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: visual autoregressive modeling; image super-resolution
616	Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models Authors: Zahra Babaiee; Peyman Kiasari; Daniela Rus; Radu Grosu Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Graph; Visual Reasoning; Reasoning; LLM; Multimodal LLM
617	When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class Authors: Yujin Kim; Hyunsoo Kim; Hyunwoo J. Kim; Suhyun Kim Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Data-Free Image Synthesis; Diffusion; Data-Free Knowlege Distillation
618	WorldSimBench: Towards Video Generation Models as World Simulators Authors: Yiran Qin; Zhelun Shi; Jiwen Yu; Xijun Wang; Enshen Zhou; Lijun Li; Zhenfei Yin; Xihui Liu; Lu Sheng; Jing Shao; LEI BAI; Ruimao Zhang Affiliation: 官方页面未列出 Official area / track: applications->computer_vision Recognition: Poster/Regular Keywords: Embodied Vision; World Model，Dataset and Benchmark
619	Auto-reconfiguration for Latency Minimization in CPU-based DNN Serving Authors: Ankit Bhardwaj; Amar Phanishayee; Deepak Narayanan; Ryan Stutsman Affiliation: 官方页面未列出 Official area / track: applications->energy Recognition: Poster/Regular Keywords: CPU; Inference
620	Think Twice, Act Once: A Co-Evolution Framework of LLM and RL for Large-Scale Decision Making Authors: Xu Wan; Wenyue Xu; Chao Yang; Mingyang Sun Affiliation: 官方页面未列出 Official area / track: applications->energy Recognition: Poster/Regular Keywords: Power Grid Control; Large Language Models-enhanced Reinforcement Learning
621	AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation Authors: Prashanth Vijayaraghavan; Luyao Shi; Ehsan Degan; Vandana Mukherjee; Xin Zhang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Analog circuit; circuit topology; reinforcement learning; instruction tuning; RL refinement
622	Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction Authors: Yiheng Xu; Zekun Wang; Junli Wang; Dunjie Lu; Tianbao Xie; Amrita Saha; Doyen Sahoo; Tao Yu; Caiming Xiong Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: GUI Agent; Visual Language Model; Large Language Model; Grounding; Reasoning; Planning; Computer Use Agent; Vision Language Action Model
623	Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery Authors: Pratinav Seth; Michelle Lin; BREFO DWAMENA YAW; Jade Boutot; Mary Kang; David Rolnick Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Remote Sensing; Satellite Imagery; Climate Change; AI for Good
624	Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search Authors: Boyan Li; Jiayi Zhang; Ju Fan; Yanwei Xu; Chong Chen; Nan Tang; Yuyu Luo Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Text-to-SQL; Databases; LLMs
625	AlphaQCM: Alpha Discovery in Finance with Distributional Reinforcement Learning Authors: Zhoufan Zhu; Ke Zhu Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Computational Finance; Formulaic Alpha; Distributional Reinforcement Learning; Quantiled Conditional Moments; Stock Trend Forecasting
626	Analytical Lyapunov Function Discovery: An RL-based Generative Approach Authors: Haohan Zou; Jie Feng; Hao Zhao; Yuanyuan Shi Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Control Theory; Lyapunov Function; Symbolic Transformer; Risk-seeking Policy Optimization; Analytical Function Discovery; Stability
627	Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models Authors: Dihan Zheng; Bo Huang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: AI for biology; Image generation; Diffusion model; MultiModal learning; Cell biology
628	COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning Authors: Chamika Sudusinghe; Gerasimos Gerogiannis; Damitha Lenadora; Charles Block; Josep Torrellas; Charith Mendis Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: machine learning for systems; transfer learning; hardware accelerators; learned cost models; sparse tensor programs
629	Chip Placement with Diffusion Models Authors: Vint Lee; Minh Nguyen; Leena Elzeiny; Chun Deng; Pieter Abbeel; John Wawrzynek Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: macro placement; diffusion; machine learning; chip design; synthetic data
630	CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale Authors: Chenlong Wang; Zhaoyang Chu; Zhengxiang Cheng; Xuyi Yang; Kaiyue Qiu; Yao Wan; Zhou Zhao; Xuanhua Shi; Hai Jin; Dongping Chen Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Code Generation; Large Language Models; Knowledge Updating; API Evolution
631	Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing Authors: Xiang Zhang; Jiaqi Wei; Zijie Qiu; Sheng Xu; Nanqing Dong; ZhiQiang Gao; Siqi Sun Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: De Novo; protein language modelling; sequence modelling
632	DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts Authors: Tobias Braun; Mark Rothermel; Marcus Rohrbach; Anna Rohrbach Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: fact-checking; multimodal; claim-verification; MLLM
633	Dataflow-Guided Neuro-Symbolic Language Models for Type Inference Authors: Gen Li; Yao Wan; Hongyu Zhang; Zhou Zhao; Wenbin Jiang; Xuanhua Shi; Hai Jin; Zheng Wang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: type inference; neuro-symbolic; language models; dataflow analysis
634	DeepLayout: Learning Neural Representations of Circuit Placement Layout Authors: Yuxiang Zhao; zhuomin chai; Xun Jiang; Qiang Xu; Runsheng Wang; Yibo Lin Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Circuirt representation; Pre-training; Self-supervised learning
635	DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models Authors: Boyu Zhang; Aocheng Shen; Bing Liu; Qiankun Zhang; Bin Yuan; Jing Wang; Shenghao Liu; Xianjun Deng Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Online Matching; Diffusion Model; Reinforcement Learning
636	ETTA: Elucidating the Design Space of Text-to-Audio Models Authors: Sang-gil Lee; Zhifeng Kong; Arushi Goel; Sungwon Kim; Rafael Valle; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: audio generation; text-to-audio; synthetic data; diffusion; flow matching
637	EditLord: Learning Code Transformation Rules for Code Editing Authors: Weichen Li; Albert Jan; Baishakhi Ray; Junfeng Yang; Chengzhi Mao; Kexin Pei Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Large Language Models; Machine Learning for Code Editing; Code Generation; Reasoning
638	Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance Authors: Yusong Wang; Shiyin Tan; Jialun Shen; Yicheng Xu; Haobo Song; Qi Xu; Prayag Tiwari; Mingkun Xu Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Protein Representation Learning; Graph Contrastive Learning; Graph Augmentation; 3D geometry modeling; Structure Invariance
639	FLAM: Frame-Wise Language-Audio Modeling Authors: Yusong Wu; Christos Tsirigotis; Ke Chen; Cheng-Zhi Anna Huang; Aaron Courville; Oriol Nieto; Prem Seetharaman; Justin Salamon Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: open-vocabulary sound event detection; sound event detection; audio language model; multimodal model; audio representation learning
640	Fast and Low-Cost Genomic Foundation Models via Outlier Removal Authors: Haozheng Luo; Chenghao Qiu; Maojiang Su; Zhihan Zhou; Zoe Mehta; Guo Ye; Jerry Yao-Chieh Hu; Han Liu Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: DNA; Outlier-free; Genomic Foundation Models; Outlier Removal
641	Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions Authors: Aleksandr Kolomeitsev; ANH-HUY PHAN Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Neural Heaviside Signed Distance Functions; Autoencoder Architectures; Topology Optimization
642	Feedforward Few-shot Species Range Estimation Authors: Christian Lange; Max Hamilton; Elijah Cole; Alexander Shepard; Samuel Heinrich; Angela Zhu; Subhransu Maji; Grant Van Horn; Oisin Mac Aodha Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: species distribution modeling; SDM; species range modelling; spatial implicit neural representation; SINR; low-shot learning; few-shot learning
643	Galileo: Learning Global & Local Features of Many Remote Sensing Modalities Authors: Gabriel Tseng; Anthony Fuller; Marlena Reil; Henry Herzog; Patrick Beukema; Favyen Bastani; James R Green; Evan Shelhamer; Hannah Kerner; David Rolnick Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: remote sensing; ai for good; land cover mapping; satellite data; agriculture
644	Geometry-Informed Neural Networks Authors: Arturs Berzins; Andreas Radler; Eric Volkmann; Sebastian Sanokowski; Sepp Hochreiter; Johannes Brandstetter Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: geometry; implicit neural representation; neural fields; theory-informed learning; geometric deep learning; physics-informed neural networks; generative design
645	Guided Structural Inference: Leveraging Priors with Soft Gating Mechanisms Authors: Aoran Wang; Xinnan Dai; Jun Pang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Structural Inference; Prior Knowledge; Dynamical Systems
646	HyperIV: Real-time Implied Volatility Smoothing Authors: Yongxin Yang; Wenqi Chen; Chao Shu; Timothy Hospedales Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Implied volatility surface; quantitative finance; hypernetworks
647	In-Context Adaptation to Concept Drift for Learned Database Operations Authors: Jiaqi Zhu; Shaofeng Cai; Yanyan Shen; Gang Chen; Fang Deng; Beng Chin Ooi Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Concept Drift; Learned Database Operation; Online Adaptation
648	LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation Authors: Chen-Chia Chang; Wan-Hsuan Lin; Yikang Shen; Yiran Chen; Xin Zhang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Analog Circuit Automation; Language Model
649	Learning Cascade Ranking as One Network Authors: Yunli Wang; ZhenZhang; Zhiqiang Wang; Zixuan Yang; Yu Li; Jian Yang; Shiyang Wen; Peng Jiang; Kun Gai Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Cascade Ranking Optimization; Surrogate Loss Optimization; Multi-Stage Coordination; End-to-End Training; Recommendation Systems
650	Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision Authors: Anqi Lu; Junchi Yan Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: supervised learning; graph neural network; linear programming; simplex method; initial basis
651	LineFlow: A Framework to Learn Active Control of Production Lines Authors: Kai Müller; Martin Wenzel; Tobias Windisch Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Machine Learning for Manufacturing; Active production line control; Reinforcement Learning; Production line simulation
652	Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes Authors: Jesse He; Helen Jenne; Herman Chau; Davis Brown; Mark Raugas; Sara C. Billey; Henry Kvinge Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: AI for Math; Interpretability; Graph neural networks; Algorithmic reasoning
653	NEAR: Neural Electromagnetic Array Response Authors: Yinyan Bu; Jiajie Yu; Kai Zheng; Xinyu Zhang; Piya Pal Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Implicit Neural Representation; Untrained Neural Network; Radar Sensing; Super-resolution; Physics-informed Neural Network
654	Optimal Auction Design in the Joint Advertising Authors: Yang Li; Yuchao Ma; Qi Qi Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Joint Advertisement; Auction Design; BundleNet
655	Pairwise Maximum Likelihood For Multi-Class Logistic Regression Model With Multiple Rare Classes Authors: Xuetong Li; Danyang Huang; Hansheng Wang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Multi-class logistic regression model; Pairwise maximum likelihood estimation; Rare class analysis; Car plate recognition
656	PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification Authors: Hongwei Li; Yuheng Tang; Shiqi Wang; Wenbo Guo Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: large language model; automatic program repair; autonomous software improvement; autonomous software engineering
657	Physics Aware Neural Networks for Unsupervised Binding Energy Prediction Authors: Ke Liu; Hao Chen; Chunhua Shen Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Protein-ligand binding
658	Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching Authors: Joan Serrà; R. Oguz Araz; Dmitry Bogdanov; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: audio; music; versions; segments; weakly-labeled; supervised; contrastive; retrieval
659	Targeted control of fast prototyping through domain-specific interface Authors: Yu-Zhe Shi; Mingchen Liu; Hanlu Ma; Qiao Xu; Huamin Qu; Kun He; Lecheng Ruan; Qining Wang Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Fast Prototyping; Domain-Specific Representation; Human Language Specification; Smart Manufacturing
660	The Case for Learned Provenance-based System Behavior Baseline Authors: Yao Zhu; Zhenyuan LI; Yangyang Wei; Shouling Ji Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: graph representation learning; provenance graph; cyber attack detection
661	UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction Authors: Shravan Nayak; Xiangru Jian; Kevin Qinghong Lin; Juan A. Rodriguez; Montek Kalsi; Nicolas Chapados; M. Tamer Özsu; Aishwarya Agrawal; David Vazquez; Christopher Pal; Perouz Taslak… Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Large language models; Multimodal models; LLMs; VLMs; Autonomous agents; GUI
662	Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Authors: Hao Wang; Zhichao Chen; Haotian Wang; Yanchao Tan; Licheng Pan; Tianqiao Liu; Xu Chen; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: recommendation; collaborative filtering
663	Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing Authors: Zijie Qiu; Jiaqi Wei; Xiang Zhang; Sheng Xu; Kai Zou; Zhi Jin; ZhiQiang Gao; Nanqing Dong; Siqi Sun Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Peptide Sequencing; De novo; Reranking
664	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning Authors: Mengmeng Chen; Xiaohu Wu; QIQI LIU; Tiantian He; Yew-Soon Ong; Yaochu Jin; Qicheng Lao; Han Yu Affiliation: 官方页面未列出 Official area / track: applications->everything_else Recognition: Poster/Regular Keywords: Hypernetwork; Multi-objective optimization; Hypervolume; Collaborative federated learning
665	"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence Authors: Mengmeng Ma; Tang Li; Yunxiang Peng; Lu Lin; Volkan Beylergil; Binsheng Zhao; Oguz Akin; Xi Peng Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Trustworthy Medical Image Analysis
666	A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features Authors: Ihab Bendidi; Yassir El Mesbahi; Alisandra Kaye Denton; Karush Suri; Kian Kenyon-Dean; Auguste Genovesio; Emmanuel Noutahi Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Multimodality; Distillation; Cross Modal Distillation; Transcriptomics; Data Augmentations; Microscopy Imaging; Gene Relationships
667	A Variational Perspective on Generative Protein Fitness Optimization Authors: Lea Bogensperger; Dominik Narnhofer; Ahmed Allam; Konrad Schindler; Michael Krauthammer Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: protein design; variational methods; generative modeling
668	ADIOS: Antibody Development via Opponent Shaping Authors: Sebastian Rene Towers; Aleksandra Kalisz; Philippe A. Robert; Alicia Higueruelo; Francesca Vianello; Chloe Ming-Han Tsai; Harrison Steel; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Opponent Shaping; Antibody Design; Meta Learning; Game Theory; Computational Biology
669	Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations Authors: Jason Qin; Hans-Hermann Wessels; Carlos Fernandez-Granda; Yuhan Hao Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: active learning; AI and Lab Loop; combination therapy; combinatorial perturbation
670	AffinityFlow: Guided Flows for Antibody Affinity Maturation Authors: Can Chen; Karla-Luise Herpoldt; Chenchao Zhao; Zichen Wang; Marcus D. Collins; Shang Shang; Ron Benson Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: flow matching; co-teaching; protein design; antibody affinity maturation; protein property prediction
671	Aligning Protein Conformation Ensemble Generation with Physical Feedback Authors: Jiarui Lu; Xiaoyin Chen; Stephen Zhewen Lu; Aurelie Lozano; Vijil Chenthamarakshan; Payel Das; Jian Tang Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Protein; generative models; molecular dynamics; conformation generation; alignments
672	All-atom inverse protein folding through discrete flow matching Authors: Kai Yi; Kiarash Jamali; Sjors HW Scheres Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: discrete diffusion; inverse folding; proteins; nucleotides; ions; guidance; nmr; dynamic structure
673	AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling Authors: Alexander Capstick; Rahul Krishnan; Payam Barnaghi Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: LLMs for healthcare; Prior elicitation; LLM-elicited priors
674	Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Authors: Eray Erturk; Fahad Kamran; Salar Abbaspourazad; Sean Jewell; Harsh Sharma; Yujie Li; Sinead Williamson; Nicholas J Foti; Joseph Futoma Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Wearables; Health applications; Foundation models
675	Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners Authors: Manh Pham Hung; Aaqib Saeed; Dong Ma Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Cardiovascular Diagnostics; ECG-Text Multi-modal Representation Learning; Contrastive Masked Auto-Encoders
676	Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching Authors: Nabeel Seedat; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: schema matching; healthcare; Large Language Models; data-centric AI
677	BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization Authors: Dongmin Bang; Inyoung Sung; Yinhua Piao; Sangseon Lee; Sun Kim Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Drug-likeness; Expectation-Maximization; Multi-modal learning; AI Drug Discovery
678	BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare Authors: Yanchao Tan; Hang Lv; Yunfei Zhan; Guofang Ma; Bo Xiong; Carl Yang Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Diagnosis prediction; Box embeddings; Language model; Hierarchy modeling
679	Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks Authors: MAYNARA DONATO DE SOUZA; Cleber Zanchettin Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Medical tasks; synthetic data; data-centric
680	CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models Authors: Junbo Yin; Chao Zha; Wenjia He; Chencheng Xu; Xin Gao Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: function; protein design; diffusion model; multi-objective
681	CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models Authors: Wei Dai; Peilin Chen; Malinda Lu; Daniel A Li; Haowen Wei; Hejie Cui; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Dataset; Evaluation; Benchmark; Multimodal Learning; Healthcare
682	Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning Authors: Minqi Yu; Jinduo Liu; Junzhong Ji Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Graph contrastive learning; Invariant learning; fMRI analysis; Neurodevelopmental disorders
683	CellFlux: Simulating Cellular Morphology Changes via Flow Matching Authors: Yuhui Zhang; Yuchang Su; Chenyu Wang; Tianhong Li; Zoe Wefers; Jeffrey J Nirschl; James Burgess; Daisy Ding; Alejandro Lozano; Emma Lundberg; Serena Yeung-Levy Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: flow matching; cell image; drug discovery; generative models
684	CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation Authors: Thibaud Southiratn; Bonil Koo; Yijingxiu Lu; Sun Kim Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Dual-target Molecule Generation; Fragment-based Drug Discovery; Monte-Carlo Tree Search; Pareto Optimization; Search Space Reduction
685	Confounder-Free Continual Learning via Recursive Feature Normalization Authors: Yash Shah; Camila Gonzalez; Mohammad H. Abbasi; Qingyu Zhao; Kilian M. Pohl; Ehsan Adeli Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: deep neural networks; confounders; continual learning; invariant representations; statistical regression
686	Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images Authors: Zhengrui Guo; Qichen Sun; Jiabo MA; Lishuang Feng; Jinzhuo Wang; Hao Chen Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Computational Pathology; Whole Slide Image; Cancer Diagnosis and Prognosis
687	Cross-Modal Alignment via Variational Copula Modelling Authors: Feng Wu; Tsai Hor Chan; Fuying Wang; Guosheng Yin; Lequan Yu Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Copula; Multimodal learning; Missing modality; Healthcare
688	Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning Authors: Boyuan Wu; ZEFENG WANG; Xianwei Lin; Jiachun Xu; Jikai Yu; Zhou Shicheng; Hongda Chen; Lianxin Hu Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: 官方列表未公开
689	Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space Authors: Zixing Song; Ziqiao Meng; José Miguel Hernández-Lobato Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: PROTAC; Linker Design; Diffusion Models
690	Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning Authors: Ao Shen; Mingzhi Yuan; Yingfan MA; Jie Du; Qiao Huang; Manning Wang Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Drug Virtual Screening; Test-Time Adaptation; AI for science
691	EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph Authors: Guancheng Wan; Zewen Liu; Xiaojun Shan; Max SY Lau; B. Aditya Prakash; Wei Jin Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Graph Learning; Epidemiology; Public Health
692	EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph Authors: Kaicheng Fu; Changde Du; Jie Peng; Kunpeng Wang; Shuangchen Zhao; Xiaoyu Chen; Huiguang He Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: 官方列表未公开
693	From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining Authors: Fuying Wang; Jiacheng Xu; Lequan Yu Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: ECG; Representation Learning; Multimodal Pretraining
694	Global Context-aware Representation Learning for Spatially Resolved Transcriptomics Authors: Yunhak Oh; Junseok Lee; Yeongmin Kim; Sangwoo Seo; Namkyeong Lee; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Spatially Resolved Transcriptomics; Self-Supervised Learning
695	Gradient-based Explanations for Deep Learning Survival Models Authors: Sophie Hanna Langbein; Niklas Koenen; Marvin N. Wright Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Deep Learning; Survival Analysis; Explainable Artificial Intelligence; Interpretable Machine Learning; XAI; IML; Feature Attribution
696	H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models Authors: Rushuang Zhou; Yuanting Zhang; Yining Dong Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Electrocardiograph; Pre-trained models; Fine-tuning; Cardiovascular diseases.
697	Identifying biological perturbation targets through causal differential networks Authors: Menghua Wu; Umesh Padia; Sean H. Murphy; Regina Barzilay; Tommi Jaakkola Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: perturbation; transcriptomics; causality
698	InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference Authors: Tianyu Cui; Song-Jun Xu; Artem Moskalev; Shuwei Li; Tommaso Mansi; Mangal Prakash; Rui Liao Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Gene Regulatory Networks inference; Informative priors; scRNA-seq; Variational Autoencoder
699	LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation Authors: Piyush Tiwary; Kinjawl Bhattacharyya; Prathosh AP Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Medical Image Segmentation; Domain Generalization; Energy-based Models
700	MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization Authors: Kangyu Zhu; Peng Xia; Yun Li; Hongtu Zhu; Sheng Wang; Huaxiu Yao Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: medical vision-language models; preference optimization
701	MedRAX: Medical Reasoning Agent for Chest X-ray Authors: Adibvafa Fallahpour; Jun Ma; Alif Munim; Hongwei Lyu; BO WANG Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: healthcare; agent; multimodal; chest X-ray; benchmark
702	MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding Authors: Yuxin Zuo; Shang Qu; Yifei Li; Zhang-Ren Chen; Xuekai Zhu; Ermo Hua; Kaiyan Zhang; Ning Ding; Bowen Zhou Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Medicine; Benchmark; Multimodal
703	Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing Authors: Jie Peng; Jenna L. Ballard; Mohan Zhang; Sukwon Yun; Jiayi Xin; Qi Long; Yanyong Zhang; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Multi-modal; Medical
704	Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points Authors: Justin Lee; Behnaz Moradijamei; Heman Shakeri Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Stochastic Flow Matching; Multi-Marginal Optimal Transport; Irregular Time Points; Snapshot Data; Simulation-Free Methods; Score Matching; Generative Models; S…
705	Multimodal Medical Code Tokenizer Authors: Xiaorui Su; Shvat Messica; Yepeng Huang; Ruth Johnson; Lukas Fesser; Shanghua Gao; Faryad Sahneh; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Medical Code; Tokenization; EHR
706	NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics Authors: Changshuo Liu; Lingze Zeng; Kaiping Zheng; Shaofeng Cai; Beng Chin Ooi; James Wei Luen Yip Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Healthcare; Cohort; Representation Learning; EHR
707	PepTune: De Novo Generation of Therapeutic Peptides with Multi-Objective-Guided Discrete Diffusion Authors: Sophia Tang; Yinuo Zhang; Pranam Chatterjee Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Discrete diffusion; multi-objective optimization; therapeutic peptides
708	PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction Authors: Aaron Wenteler; Martina Occhetta; Nikhil Branson; Victor Curean; Magdalena Huebner; William Dee; William Connell; Siu Pui Chung; Alex Hawkins-Hooker; Yasha Ektefaie; César Miguel… Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: benchmark; single-cell biology; perturbation effect prediction
709	Predicting mutational effects on protein binding from folding energy Authors: Arthur Deng; Karsten D. Householder; Fang Wu; K. Christopher Garcia; Brian L. Trippe Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Proteins; finetuning; transfer-learning; binding
710	Protein Structure Tokenization: Benchmarking and New Recipe Authors: Xinyu Yuan; Zichen Wang; Marcus D. Collins; Huzefa Rangwala Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: protein structure tokenization; benchmarking; VQ-VAE
711	Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction Authors: Ruben Weitzman; Peter Mørch Groth; Lood Van Niekerk; Aoi Otani; Yarin Gal; Debora Susan Marks; Pascal Notin Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Computational Biology
712	PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models Authors: Alejandro Velez-Arce; Marinka Zitnik Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: biological chemistry; biomedical AI; computational biology; biomedical informatics; machine learning platform; machine learning framework; AI for drug discovery
713	Reconstructing Cell Lineage Trees from Phenotypic Features with Metric Learning Authors: Da Kuang; GuanWen Qiu; Junhyong Kim Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Metric learning; Cell lineage reconstruction; scRNA-seq; Representation learning
714	Reliable Algorithm Selection for Machine Learning-Guided Design Authors: Clara Fannjiang; Ji Won Park Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: machine learning-guided design; biological sequence design; uncertainty quantification; generative models; model-based optimization; prediction-powered inferen…
715	SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes Authors: Yishan Shen; Yuyang Ye; Hui Xiong; Yong Chen Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Dynamic Treatment Regime; Multimodal; Risk-aware; Conformal inference
716	SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model Authors: Zhao Yang; Jiwei Zhu; Bing Su Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: DNA Foundation models; mixture of experts; genomic profile prediction; DNA; biology
717	SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics Authors: Suyuan Zhao; YIZHEN LUO; Ganbo Yang; Yan Zhong; Hao Zhou; Zaiqing Nie Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: spatial transcriptomics; multi-scale; foundation model
718	SUICA: Learning Super-high Dimensional Sparse Implicit Neural Representations for Spatial Transcriptomics Authors: Qingtian Zhu; Yumin Zheng; Yuling Sang; Yifan Zhan; Ziyan Zhu; Jun Ding; Yinqiang Zheng Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Spatial Transcriptomics; Implicit Neural Representations
719	Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis Authors: Dayang Wang; Srivathsa Pasumarthi Venkata; Ajit Shankaranarayanan; Greg Zaharchuk Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Contrast Enhanced MRI; MRI image synthesis; Deep Learning
720	TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging Authors: Chuang LIU; Hongyan Xu; Yichao Cao; Xiu Su; Zhe Qu; Tianfa Li; Shan An; Haogang Zhu Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: medical image segmentation; generalization; vision foundation models
721	UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design Authors: Xiangzhe Kong; Zishen Zhang; Ziting Zhang; Rui Jiao; Jianzhu Ma; Wenbing Huang; Kai Liu; Yang Liu Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Unified Generative Framework; Molecular Binder Design; Drug Discovery; Geometric Latent Diffusion
722	Unified Screening for Multiple Diseases Authors: Yiğit Narter; Alihan Hüyük; Mihaela van der Schaar; Cem Tekin Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Unified screening; healthcare; competing risks; constrained optimization; threshold policy
723	ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy Authors: Kian Kenyon-Dean; Zitong Jerry Wang; John Urbanik; Konstantin Donhauser; Jason Hartford; Saber Saberian; Nil Sahin; Ihab Bendidi; Safiye Celik; Juan Sebastián Rodríguez Vera; Mart… Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: MAE; drug discovery; microscopy; SSL; linear probing; biology; high-content screening; foundation models
724	sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models Authors: Hongru Hu; Shuwen Zhang; Yongin Choi; Venkat S. Malladi; Gerald Quon Affiliation: 官方页面未列出 Official area / track: applications->health_medicine Recognition: Poster/Regular Keywords: Representation Learning; Large Language Model; Batch Effect Correction; Gene Module Discovery
725	A Reasoning-Based Approach to Cryptic Crossword Clue Solving Authors: Martin Andrews; Sam Witteveen Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: NLP; Cryptic Crosswords; Reasoning; Proof/Verification
726	A Variational Framework for Improving Naturalness in Generative Spoken Language Models Authors: Li-Wei Chen; Takuya Higuchi; Zakaria Aldeneh; Ahmed Hussen Abdelaziz; Alexander Rudnicky Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Generative Spoken Language Modeling; Speech Language Model
727	ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling Authors: Dongchao Yang; Songxiang Liu; Haohan Guo; Jiankun Zhao; Yuanyuan Wang; Helin Wang; Zeqian Ju; Xubo Liu; Xueyuan Chen; Xu Tan; Xixin Wu; Helen M. Meng Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Audio Language Models; Audio Codec; Audio Tokenizer; Audio Understanding and Generation
728	Active Evaluation Acquisition for Efficient LLM Benchmarking Authors: Yang Li; Jie Ma; Miguel Ballesteros; Yassine Benajiba; Graham Horwood Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: LLM Evaluation; Subset Selection; Active Learning
729	Adaptive Elicitation of Latent Information Using Natural Language Authors: Jimmy Wang; Thomas P Zollo; Richard Zemel; Hongseok Namkoong Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Uncertainty Quantification; Natural Language; Adaptive Survey Design
730	Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review Authors: Kai Lu; Shixiong Xu; Jinqiu Li; Kun Ding; Gaofeng Meng Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Peer Review Automation; Multimodal Review System; Multi-agent System; Shared Memory Pool
731	Aligning Spoken Dialogue Models from User Interactions Authors: Anne Wu; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Speech Alignment; Audio Language Model; Conversational Model
732	Are Large Language Models Ready for Multi-Turn Tabular Data Analysis? Authors: Jinyang Li; Nan Huo; Yan Gao; Jiayi Shi; Yingxiu Zhao; Ge Qu; Bowen Qin; Yurong Wu; Xiaodong Li; Chenhao Ma; Jian-Guang Lou; Reynold Cheng Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Tabular Data Analysis; Large Language Models; Conversation
733	ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior Authors: Zhongweiyang Xu; Xulin Fan; Zhong-Qiu Wang; Xilin Jiang; Romit Roy Choudhury Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Diffusion posterior sampling; speech separation; microphone array processing
734	BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models Authors: Susan Liang; Dejan Markovic; Israel D. Gebru; Steven Krenn; Todd Keebler; Jacob Sandakly; Frank Yu; Samuel Hassel; Chenliang Xu; Alexander Richard Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Spatial Audio; Binaural Speech; Generative Model; Flow Matching
735	CoSER: Coordinating LLM-Based Persona Simulation of Established Roles Authors: Xintao Wang; Heng Wang; Yifei Zhang; Xinfeng Yuan; Rui Xu; Jen-tse Huang; Siyu Yuan; Haoran Guo; Jiangjie Chen; Shuchang Zhou; Wei Wang; Yanghua Xiao Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Role-Playing Language Models; LLM Persona; Dataset; Evaluation
736	DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis Authors: Yinghao Aaron Li; Rithesh Kumar; Zeyu Jin Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: text-to-speech; zero-shot speech synthesis; diffusion model; diffusion distillation; metric optimization
737	Delta Decompression for MoE-based LLMs Compression Authors: Hao Gu; Wei Li; Lujun Li; Zhu Qiyuan; Mark G. Lee; Shengjie Sun; Wei Xue; Yike Guo Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Mixture of Experts; Efficient Large Language Models; Delta Decompression; Structured Compression
738	Emotional Face-to-Speech Authors: Jiaxin Ye; Boyuan Cao; Hongming Shan Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Generative Model; Discrete Diffusion Model; Speech Generation; Text-to-Speech
739	Fleet of Agents: Coordinated Problem Solving with Large Language Models Authors: Lars Henning Klein; Nearchos Potamitis; Roland Aydin; Robert West; Caglar Gulcehre; Akhil Arora Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: large language models; genetic particle filtering; heuristic search; general problem solving; decision making; explore vs exploit; efficiency; cost-quality tra…
740	Flexible and Efficient Grammar-Constrained Decoding Authors: Kanghee Park; Timothy Zhou; Loris D'Antoni Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Language Models; Decoding; Context-free Grammars
741	Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM Authors: Xiong Wang; Yangze Li; Chaoyou Fu; Yike Zhang; Yunhang Shen; Lei Xie; Ke Li; Xing Sun; Long MA Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Speech to Speech; Duplex Dialogue Model; Multimodal Large Language Models
742	From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning Authors: Jinyu Wang; Jingjing Fu; Rui Wang; Lei Song; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: RAG; Knowledge atomizing; Knowledge-aware task decomposition; Multihop QA
743	Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs Authors: William H English; Dominic Simon; Sumit Kumar Jha; Rickard Ewetz Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Temporal Logic; Grammar Constrained Decoding; Sequence-to-Sequence
744	High-Fidelity Simultaneous Speech-To-Speech Translation Authors: Tom Labiausse; Laurent Mazaré; Edouard Grave; Alexandre Défossez; Neil Zeghidour Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: audio language models; speech translation; multimodal language models; speech-to-speech
745	KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search Authors: Haoran Luo; Haihong E; Yikai Guo; Qika Lin; Xiaobao Wu; Xinyu Mu; Wenhao Liu; Meina Song; Yifan Zhu; Anh Tuan Luu Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Knowledge Base Question Answering; Large Language Model; LLM Agents; Monte Carlo Tree Search
746	LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs – No Silver Bullet for LC or RAG Routing Authors: Kuan Li; Liwen Zhang; Yong Jiang; Pengjun Xie; Fei Huang; Shuai Wang; Minhao Cheng Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Large Language Model; Retrieval Augmented Generation; Benchmark; Long-context
747	Learning from others' mistakes: Finetuning machine translation models with span-level error annotations Authors: Lily H Zhang; Hamid Dadkhahi; Mara Finkelstein; Firas Trabelsi; Jiaming Luo; Markus Freitag Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: machine translation; fine-grained annotations; multidimensional quality metrics
748	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition Authors: Sungnyun Kim; Kangwook Jang; Sangmin Bae; Sungwoo Cho; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: audio-visual speech recognition; mixture-of-experts; multimodal
749	NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Authors: Qichao Wang; Ziqiao Meng; Wenqian Cui; Yifei Zhang; Pengcheng Wu; Bingzhe Wu; Irwin King; Liang Chen; Peilin Zhao Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Spoken dialogue language modeling; Autoregressive; Streaming; Decoder-only Transformer
750	OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models Authors: William Chen; Jinchuan Tian; Yifan Peng; Brian Yan; Chao-Han Huck Yang; Shinji Watanabe Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Automatic Speech Recognition; Scaling Laws; Speech Translation; Multilingual
751	OmniAudio: Generating Spatial Audio from 360-Degree Video Authors: Huadai Liu; Tianyi Luo; Kaicheng Luo; Qikai Jiang; Peiwen Sun; Jialei Wang; Rongjie Huang; Qian Chen; Wen Wang; Xiangtai Li; ShiLiang Zhang; Zhijie Yan; Zhou Zhao; Wei Xue Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: video-to-audio generation; 360-degree video-to-spatial audio generation; spatial audio generation
752	Otter: Generating Tests from Issues to Validate SWE Patches Authors: Toufique Ahmed; Jatin Ganhotra; Rangeet Pan; Avraham Shinnar; Saurabh Sinha; Martin Hirzel Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: LLMs; SWE Patches; Reproduction Tests
753	Overcoming Non-monotonicity in Transducer-based Streaming Generation Authors: Zhengrui Ma; Yang Feng; Min zhang Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: streaming generation; simultaneous translation; Transducer
754	Policy Filtration for RLHF to Mitigate Noise in Reward Models Authors: Chuheng Zhang; Wei Shen; Li Zhao; Xuyun Zhang; Xiaolong Xu; Wanchun Dou; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: AI; LLM; RLHF
755	Reducing Tool Hallucination via Reliability Alignment Authors: Hongshen Xu; Zichen Zhu; Lei Pan; Zihan Wang; Su Zhu; Da Ma; Ruisheng Cao; Lu Chen; Kai Yu Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Tool hallucination; Reliability Alignment; Large Language Model
756	SING: Spatial Context in Large Language Model for Next-Gen Wearables Authors: Ayushi Mishra; Yang Bai; Priyadarshan Narayanasamy; Nakul Garg; Nirupam Roy Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Spatial Speech ASR; Direction of Arrival; Large Language Models
757	Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems Authors: Taejin Park; Ivan Medennikov; Kunal Dhawan; Weiqing Wang; He Huang; Nithin Rao Koluguri; Krishna C Puvvada; Jagadeesh Balam; Boris Ginsburg Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: Automatic Speech Recognition; Speech to Text; Speaker Diarization; Multi-speaker ASR; Multi-talker ASR
758	Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Authors: Bowen Tan; Zheng Xu; Eric P. Xing; Zhiting Hu; Shanshan Wu Affiliation: 官方页面未列出 Official area / track: applications->language_speech_and_dialog Recognition: Poster/Regular Keywords: synthetic data; language model; differential privacy
759	A Model of Place Field Reorganization During Reward Maximization Authors: M Ganesh Kumar; Blake Bordelon; Jacob A Zavatone-Veth; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Reinforcement learning; Temporal Difference error; Hippocampus; Place cells; navigation
760	A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making Authors: Yi Xie; Jaedong Hwang; Carlos D Brody; David W. Tank; Ila R Fiete Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: place cell; grid cell; neuroscience
761	Accurate Identification of Communication Between Multiple Interacting Neural Populations Authors: Belle Liu; Jacob Sacks; Matthew D. Golub Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Computational Neuroscience; Dynamical Systems; Interpretability; Brain-Wide Communication
762	BSO: Binary Spiking Online Optimization Algorithm Authors: Yu Liang; Yu Yang; Wenjie Wei; Ammar Belatreche; Shuai Wang; Malu Zhang; Yang Yang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Network; Online Learning; Spiking Binarization
763	Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example Authors: Yuhan Helena Liu; Guangyu Robert Yang; Christopher J Cueva Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Computational neuroscience; biologically-plausible learning rules; recurrent neural networks; neural data similarity; neural representations
764	CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention Authors: Songlin Xu; Xinyu Zhang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Cognitive Response; Deep Reinforcement Learning; Dynamic Stimuli
765	Contour Integration Underlies Human-Like Vision Authors: Ben Lonnqvist; Elsa Scialom; Abdulkadir Gokce; Zehra Merchant; Michael Herzog; Martin Schrimpf Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: psychophysics; machine vision; human vision; contour integration; robustness; visual perception
766	Core Knowledge Deficits in Multi-Modal Language Models Authors: Yijiang Li; Qingying Gao; Tianwei Zhao; Bingyang Wang; Haoran Sun; Haiyun Lyu; Robert D. Hawkins; Nuno Vasconcelos; Tal Golan; Dezhi Luo; Hokin Deng Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: core knowledge; multi-modal large language model; robustness
767	Dendritic Localized Learning: Toward Biologically Plausible Algorithm Authors: Changze Lv; Jingwen Xu; Yiyang Lu; Xiaohua Wang; Zhenghua Wang; Zhibo Xu; Di Yu; Xin Du; Xiaoqing Zheng; Xuanjing Huang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Biological Plausibility; Learning Algorithm
768	Differential Coding for Training-Free ANN-to-SNN Conversion Authors: Zihan Huang; Wei Fang; Tong Bu; Peng Xue; Zecheng Hao; Wenxuan Liu; Yuanhong Tang; Zhaofei Yu; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; ANN-to-SNN Covnersion; Differential Coding; Threshold Iteration
769	Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data Authors: Sayed Mohammad Hosseini; Maryam Shanechi Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Deep Learning; Dynamical Modeling; Neural Imaging; Behavior; Neuroscience
770	Dynamical phases of short-term memory mechanisms in RNNs Authors: Bariscan Kurtkaya; Fatih Dinc; Mert Yuksekgonul; Marta Blanco-Pozo; Ege Cirakman; Mark Schnitzer; Yucel Yemez; Hidenori Tanaka; Peng Yuan; Nina Miolane Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Dynamical system theory; computational neuroscience; working memory
771	EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping Authors: Sam Gijsen; Kerstin Ritter Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: multimodal; neuroscience; eeg; medical; pretraining; representation learning
772	Efficient ANN-SNN Conversion with Error Compensation Learning Authors: Chang Liu; Jiangrong Shen; Xuming Ran; Mingkun Xu; Qi Xu; Yi Xu; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: ANN-SNN Conversion; Deep Spiking Neural Network; brain-inspired computing; neuromorphic computing
773	Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Authors: Zecheng Hao; Qichao Ma; Kang Chen; Yi Zhang; Zhaofei Yu; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: ANN-SNN Conversion; Parallel Spiking Calculation; Distribution-Aware Error Calibration
774	Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics Authors: Puli Wang; Yu Qi; Yueming Wang; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Brain-Computer Interface; Neural Decoding; Flow Matching; Neural Alignment
775	Flow-field inference from neural data using deep recurrent networks Authors: Timothy Doyeon Kim; Thomas Zhihao Luo; Tankut Can; Kamesh Krishnamurthy; Jonathan W. Pillow; Carlos D Brody Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: computational neuroscience; dynamical systems; neural population dynamics; interpretability
776	Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series Authors: Zachary C. Brown; David Carlson Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; hypothesis generation; generative models; causal discovery
777	Human-Aligned Image Models Improve Visual Decoding from the Brain Authors: Nona Rajabi; Antonio H. Ribeiro; Miguel Vasco; Farzaneh Taleb; Mårten Björkman; Danica Kragic Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Visual Decoding; Brain-Computer Interface; EEG; Contrastive Learning; Human-Alignment
778	Hybrid Spiking Vision Transformer for Object Detection with Event Cameras Authors: Qi Xu; Jie Deng; Jiangrong Shen; Biwu Chen; Huajin Tang; Gang Pan Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Fall Detection; Object Detection With Event Cameras
779	Identifying Neural Dynamics Using Interventional State Space Models Authors: Amin Nejatbakhsh; Yixin Wang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Causal dynamical systems; interventions; state space models; photo-stimulation; micro-stimulation
780	Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors Authors: Jingyang Ke; Feiyang Wu; Jiyi Wang; Jeffrey Markowitz; Anqi Wu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: neuroscience; decision-making; inverse reinforcement learning; naturalistic behavior
781	Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse Authors: Ryan Liu; Jiayi Geng; Addison J. Wu; Ilia Sucholutsky; Tania Lombrozo; Thomas L. Griffiths Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: chain of thought; psychology; cognitive science
782	MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data Authors: Yuqin Dai; Zhouheng Yao; Chunfeng Song; Qihao Zheng; Weijian Mai; Kunyu Peng; Shuai Lu; Wanli Ouyang; Jian Yang; Jiamin Wu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Brain Decoding; Functional Alignment; Cross-subject Decoding; Neuroscience; Neuroimaging; Visual Perception
783	MindCustomer: Multi-Context Image Generation Blended with Brain Signal Authors: Muzhou Yu; Shuyun Lin; Lei Ma; Bo Lei; Kaisheng Ma Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Human-Computer Interaction; Brain-Computer Interface; Generative AI
784	MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding Authors: Weikang Qiu; Zheng Huang; Haoyu Hu; Aosong Feng; Yujun Yan; Rex Ying Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Neuroscience; fMRI
785	Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment Authors: Yu Zhu; Chunfeng Song; Wanli Ouyang; Shan Yu; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Neural Representational Consisitency; Motor Cortex; Visual Cortex; Zero-shot; Brain-Computer Interface
786	NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders Authors: Jun-En Ding; Dongsheng Luo; Chenwei Wu; Feng Liu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: fMRI; Mental Disorders; Graph Neural Networks; Neuroscience
787	Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG Authors: Xinxu Wei; kanhao zhao; Yong Jiao; Hua Xie; Lifang He; Yu Zhang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Electroencephalogram; Graph Learning; Self-supervised Pre-training; Neuroscience; Knowledge Distillation; Contrastive Learning
788	ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Authors: Yufei Guo; Yuhan Zhang; Zhou Jie; Xiaode Liu; Xin Tong; Yuanpei Chen; Weihang Peng; Zhe Ma Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: spiking neural network
789	Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis Authors: Weiyu Guo; Ziyue Qiao; Ying Sun; Yijie Xu; Hui Xiong Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Gesture Recognition; Human Brain Interaction; sEMG; Short Term Enhanced Transformer
790	Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Authors: Qi Xu; Junyang Zhu; Dongdong Zhou; Hao Chen; Yang Liu; Jiangrong Shen; Qiang Zhang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: spiking neural networks; brain-inspired computing; few-shot learning
791	SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal{O}(T)$ Complexity Authors: Shihao Zou; Qingfeng Li; Wei Ji; Jingjing Li; Yongkui Yang; Guoqi Li; Chao Dong Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: spiking neural networks; spike-driven transformer
792	Synthesizing Images on Perceptual Boundaries of ANNs for Uncovering and Manipulating Human Perceptual Variability Authors: Chen Wei; Chi Zhang; Jiachen Zou; Haotian Deng; Dietmar Heinke; Quanying Liu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Perceptual variability; Object Recognition; Behavior Manipulation; Behavioral Alignment
793	TS-SNN: Temporal Shift Module for Spiking Neural Networks Authors: Kairong Yu; Tianqing Zhang; Qi Xu; Gang Pan; Hongwei Wang Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Spiking Neural Networks; Neuromorphic Computing; Brain-inspired Learning
794	TTFSFormer: A TTFS-based Lossless Conversion of Spiking Transformer Authors: Lusen Zhao; Zihan Huang; Jianhao Ding; Zhaofei Yu Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: spiking neural networks; ANN-SNN conversion; time-to-first spike; spiking transformer
795	Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models Authors: Luca M. Schulze Buschoff; Konstantinos Voudouris; Elif Akata; Matthias Bethge; Joshua B. Tenenbaum; Eric Schulz Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: Cognitive Science; Machine Learning; Fine-tuning; Vision language models; Intuitive phyics; Causal reasoning; Counterfactual reasoning
796	The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning Authors: Dulhan Jayalath; Gilad Landau; Brendan Shillingford; Mark Woolrich; Oiwi Parker Jones Affiliation: 官方页面未列出 Official area / track: applications->neuroscience_cognitive_science Recognition: Poster/Regular Keywords: neural decoding; speech decoding; neuroscience
797	A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems Authors: Manan Tayal; Aditya Singh; Shishir Kolathaya; Somil Bansal Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Safety-Performance co-optimization; Safety-critical controls; Physics-informed ML; conformal prediction
798	ABNet: Adaptive explicit-Barrier Net for Safe and Scalable Robot Learning Authors: Wei Xiao; Tsun-Hsuan Wang; Chuang Gan; Daniela Rus Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Safe learning; Robot learning; Scalable learning
799	BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly Authors: Yan Shen; Ruihai Wu; Yubin Ke; Xinyuan Song; Zeyi Li; Xiaoqi Li; Hongwei Fan; Haoran Lu; Hao Dong Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Bimanual Manipulation; Geometric Shape Assembly
800	Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Authors: Jinghan Li; Zhicheng Sun; Yadong MU Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Deep Equilibrium Models; Large Language Models; Robot Task Planning
801	DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning Authors: Gaoyue Zhou; Hengkai Pan; Yann LeCun; Lerrel Pinto Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: World Models; Planning; Representation Learning
802	DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control Authors: Guiliang Liu; Yueci Deng; Runyi Zhao; Huayi Zhou; Jian Chen; Jietao Chen; Ruiyan Xu; Yunxin Tai; Kui Jia Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Data Engine; Embodied AI; Robot Control; Manipulation; Policy Learning
803	DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression Authors: Junjie Wen; Yichen Zhu; Minjie Zhu; Zhibin Tang; Jinming Li; Zhongyi Zhou; Xiaoyu Liu; Chaomin Shen; Yaxin Peng; Feifei Feng Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: vision-language-action models; reasoning
804	DriveGPT: Scaling Autoregressive Behavior Models for Driving Authors: Xin Huang; Eric M Wolff; Paul Vernaza; Tung Phan-Minh; Hongge Chen; David S Hayden; Mark Edmonds; Brian Pierce; Xinxin Chen; Pratik Elias Jacob; Xiaobai Chen; Chingiz Tairbekov; P… Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Autonomous Driving; Foundation Models; Behavior Modeling
805	DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making Authors: Ziru Wang; Mengmeng Wang; Jade Dai; Teli Ma; Guo-Jun Qi; Yong Liu; Guang Dai; Jingdong Wang Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: decision-making; language commands; manipulation
806	ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics Authors: Letian Chen; Nina Marie Moorman; Matthew Craig Gombolay Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Learning from Demonstration; Vision-Language Models; Inverse Reinforcement Learning
807	Efficient Robotic Policy Learning via Latent Space Backward Planning Authors: Dongxiu Liu; Haoyi Niu; Zhihao Wang; Jinliang Zheng; Yinan Zheng; Zhonghong Ou; Jianming HU; Jianxiong Li; Xianyuan Zhan Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Planning; Embodied Agents; Goal-Conditioned Policy
808	Empowering World Models with Reflection for Embodied Video Prediction Authors: Xiaowei Chi; Chun-Kai Fan; Hengyuan Zhang; Xingqun Qi; Rongyu Zhang; Anthony Chen; Chi-Min Chan; Wei Xue; Qifeng Liu; Shanghang Zhang; Yike Guo Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: World Model; Generation Model; Robotics
809	Falcon: Fast Visuomotor Policies via Partial Denoising Authors: Haojun Chen; Minghao Liu; Chengdong Ma; Xiaojian Ma; Zailin Ma; Huimin Wu; Yuanpei Chen; Yifan Zhong; Mingzhi Wang; Qing Li; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Diffusion Models; Acceleration; Sampling; Robotics; Motion Planning
810	Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models Authors: Lucy Xiaoyang Shi; brian ichter; Michael Robert Equi; Liyiming Ke; Karl Pertsch; Quan Vuong; James Tanner; Anna Walling; Haohuan Wang; Niccolo Fusai; Adrian Li-Bell; Danny Driess;… Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Machine Learning; Robotics; Language; Vision-Language Models
811	Hierarchical Equivariant Policy via Frame Transfer Authors: Haibo Zhao; Dian Wang; Yizhe Zhu; Xupeng Zhu; Owen Lewis Howell; Linfeng Zhao; Yaoyao Qian; Robin Walters; Robert Platt Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: robot learning; imitation learning; robotic manipulation; equivariance
812	Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification Authors: Flavio Petruzzellis; Cristina Cornelio; Pietro Lio Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Neuro-Symbolic; Hierarchical Planning; Robotics; Symbolic Verification; Knowledge Graph RAG
813	Learning Efficient Robotic Garment Manipulation with Standardization Authors: Changshi Zhou; Feng Luan; hujiarui; Shaoqiang Meng; Zhipeng Wang; Yanchao Dong; Yanmin Zhou; Bin He Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: 官方列表未公开
814	Learning Safe Control via On-the-Fly Bandit Exploration Authors: Alexandre Capone; Ryan Kazuo Cosner; Aaron Ames; Sandra Hirche Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Safety; Gaussian processes; control barrier functions; Bayesian models
815	OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction Authors: Huang Huang; Fangchen Liu; Letian Fu; Tingfan Wu; Mustafa Mukadam; Jitendra Malik; Ken Goldberg; Pieter Abbeel Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: vision language action model; robot foundation model
816	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation Authors: Zhendong Wang; Max Li; Ajay Mandlekar; Zhenjia Xu; Jiaojiao Fan; Yashraj Narang; Linxi Fan; Yuke Zhu; Yogesh Balaji; Mingyuan Zhou; Ming-Yu Liu; Yu Zeng Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: diffusion policies; diffusion distillation; one-step diffusion policy
817	Pre-training Auto-regressive Robotic Models with 4D Representations Authors: Dantong Niu; Yuvan Sharma; Haoru Xue; Giscard Biamby; Junyi Zhang; Ziteng Ji; Trevor Darrell; Roei Herzig Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Auto-regressive Robotic Models; Pre-training; 4D Representations
818	ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Authors: Hongyin Zhang; Zifeng Zhuang; Han Zhao; Pengxiang Ding; Hongchao Lu; Donglin Wang Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: VLA Model; Reinforcement Learning; Robotic Manipulation
819	Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator Authors: Junmin Zhong; Emiliano Quinones Yumbla; Seyed Yousef Soltanian; Ruofan Wu; Wenlong Zhang; Jennie Si Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Soft Robotics; Human robotic interaction; reinforcement learning without simulator
820	Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation Authors: Shuanghao Bai; Wanqi Zhou; Pengxiang Ding; Wei Zhao; Donglin Wang; Badong Chen Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Behavior Cloning; Robot Manipulation; Information Bottleneck
821	SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation Authors: Yuqi Fan; Zhiyong Cui; Zhenning Li; Yilong Ren; Haiyang Yu Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: diffusion model; autonomous driving; hybrid planner; trajectory planning
822	SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation Authors: Haoquan Fang; Markus Grotz; Wilbert Pumacay; Yi Ru Wang; Dieter Fox; Ranjay Krishna; Jiafei Duan Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Robot Learning; Behavior Cloning; Imitation Learning; Memory-based Robotics Transformer
823	SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space Authors: Xupeng Zhu; Fan Wang; Robin Walters; Jane Shi Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Imitation Learning; Equivariance; Closed-Loop Policy; Manipulation
824	TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching Authors: Yue Meng; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Imitation Learning; Temporal Logic; Flow Matching; Graph Neural Networks
825	Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning Authors: Sungjune Kim; Gyeongrok Oh; Heeju Ko; Daehyun Ji; Dongwook Lee; Byung-Jun Lee; Sujin Jang; Sangpil Kim Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: vision-language navigation; test-time adaptation
826	Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset Authors: Hao Zhou; Xu Yang; Mingyu Fan; Lu Qi; Xiangtai Li; Ming-Hsuan Yang; Fei Luo Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: 3D trajectory prediction; 3D trajectory dataset; Decoupled trajectory prediction
827	Towards Learning to Complete Anything in Lidar Authors: Ayça Takmaz; Cristiano Saltori; Neehar Peri; Tim Meinhardt; Riccardo de Lutio; Laura Leal-Taixé; Aljosa Osep Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Zero-shot segmentation; Lidar scene completion; Lidar perception
828	UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent Authors: Jianke Zhang; Yanjiang Guo; Yucheng Hu; Xiaoyu Chen; Xiang Zhu; Jianyu Chen Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: VLA; VLM; Embodied Agent
829	VIP: Vision Instructed Pre-training for Robotic Manipulation Authors: Zhuoling Li; LiangLiang Ren; Jinrong Yang; Yong Zhao; Xiaoyang Wu; Zhenhua Xu; Xiang Bai; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: vision instruction; robotic manipulation pre-training; imitation learning
830	WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving Authors: Yiheng Li; Cunxin Fan; Chongjian GE; Seth Z. Zhao; Chenran Li; Chenfeng Xu; Huaxiu Yao; Masayoshi Tomizuka; Bolei Zhou; Chen Tang; Mingyu Ding; Wei Zhan Affiliation: 官方页面未列出 Official area / track: applications->robotics Recognition: Poster/Regular Keywords: Language Q&A Dataset; Autonomous Driving; Interaction Reasoning; Multi-modal Learning
831	AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N Authors: Tianyu Zhang; Andrew Robert Williams; Phillip Wozny; Kai-Hendrik Cohrs; Koen Ponse; Marco Jiralerspong; Soham Rajesh Phade; Sunil Srinivasa; Lu Li; Yang Zhang; Prateek Gupta; Erma… Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: reinforcement learning; climate change; mechanism design
832	Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation Authors: Chang Liu; Yixin Wang; Moontae Lee Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: helpfulness voting; question answers; position bias; herding bias; online evaluation; causal effect
833	Cross-City Latent Space Alignment for Consistency Region Embedding Authors: Meng Chen; Hongwei Jia; Zechen Li; Wenzhen Jia; Kai Zhao; Hongjun Dai; Weiming Huang Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: Consistency Region Embedding; Cross-City Knowledge Transfer; Latent Space Alignment; Human Mobility; Socioeconomic Indicators Prediction
834	Flow Matching for Denoised Social Recommendation Authors: Yinxuan Huang; KE LIANG; Zhuofan Dong; Xiaodong Qu; Wang Tianxiang; Yue Han; Jingao Xu; Bin Zhou; Ye Wang Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: Graph Machine Learning; Social Recommendation; Flow matching
835	LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces Authors: Rashid Mushkani; Shravan Nayak; Hugo Berard; Allison Cohen; Shin Koseki; Hadrien Bertrand Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: Pluralistic Alignment; Text-to-Image Diffusion; Intersectionality; Urban Planning; DPO; Inclusivity; Safety; Accessibility
836	Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response Authors: Kexin Huang; Ziqian Chen; Xue Wang; Chongming Gao; Jinyang Gao; Bolin Ding; Xiang Wang Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: Auction; Equilibrium; Optimization
837	Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design Authors: Marino Kühne; Panagiotis D. Grontas; Giulia De Pasquale; Giuseppe Belgioioso; Florian Dorfler; John Lygeros Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: opinion dynamics; recommender systems; hypergradient; social networks; optimization algorithm; Friedkin-Johnsen; polarization reduction; disagreement reduction
838	Sparse Autoencoders for Hypothesis Generation Authors: Rajiv Movva; Kenny Peng; Nikhil Garg; Jon Kleinberg; Emma Pierson Affiliation: 官方页面未列出 Official area / track: applications->social_sciences Recognition: Poster/Regular Keywords: interpretability; hypothesis generation; sparse autoencoders; computational social science; topic modeling
839	A Non-isotropic Time Series Diffusion Model with Moving Average Transitions Authors: Chenxi Wang; Linxiao Yang; Zhixian Wang; Liang Sun; Yi Wang Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Diffusion models; Time series forecasting; Time series super-resolution
840	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting Authors: Abdelhakim Benechehab; Vasilii Feofanov; Giuseppe Paolo; Albert Thomas; Maurizio Filippone; Balázs Kégl Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Multivariate time series forecasting; Foundation models; Probabilistic inference
841	BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling Authors: Hao Li; Yu-Hao Huang; Chang Xu; Viktor Schlegel; Renhe Jiang; Riza Batista-Navarro; Goran Nenadic; Jiang Bian Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Multi-agents Systems; Time Series Generation; Large Language Models
842	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Authors: Zhining Liu; Ze Yang; Xiao Lin; Ruizhong Qiu; Tianxin Wei; Yada Zhu; Hendrik Hamann; Jingrui He; Hanghang Tong Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time-series Forcasting; Ensemble; Adaptive Model Fusion
843	CFPT: Empowering Time Series Forecasting through Cross-Frequency Interaction and Periodic-Aware Timestamp Modeling Authors: Feifei Kou; Jiahao Wang; Lei Shi; Yuhan Yao; Yawen Li; Suguo Zhu; Zhongbao Zhang; Junping Du Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time series forecasting; Frequency analysis; Timestamp modeling
844	CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations Authors: Haotian Si; Changhua Pei; Jianhui li; Dan Pei; Gaogang Xie Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time Series Forecasting; Lightweight Models; Mechine Learning
845	Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection Authors: HyunGi Kim; Jisoo Mok; Dongjun Lee; Jaihyun Lew; Sungjae Kim; Sungroh Yoon Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Multivarite Time Series Anomaly Detection; Time Series; Contrastive Learning; Causality; One-class Classification
846	Context is Key: A Benchmark for Forecasting with Essential Textual Information Authors: Andrew Robert Williams; Arjun Ashok; Étienne Marcotte; Valentina Zantedeschi; Jithendaraa Subramanian; Roland Riachi; James Requeima; Alexandre Lacoste; Irina Rish; Nicolas Chapad… Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: time series; forecasting; multimodality; foundation models; contextual forecasting; deep learning; machine learning; natural language processing
847	Efficient Personalized Adaptation for Physiological Signal Foundation Model Authors: Chenrui Wu; Haishuai Wang; Xiang Zhang; Chengqi Zhang; Jiajun Bu Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Physiological Signal; Time Series Classification; Foundation Model; Personlaization
848	Exploring Representations and Interventions in Time Series Foundation Models Authors: Michał Wiliński; Mononito Goswami; Willa Potosnak; Nina Żukowska; Artur Dubrawski Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time Series Foundation Models; Model Steering; Interpretability; Pruning
849	FIC-TSC: Learning Time Series Classification with Fisher Information Constraint Authors: Xiwen Chen; Wenhui Zhu; Peijie Qiu; Hao Wang; Huayu Li; ZIHAN LI; Yalin Wang; Aristeidis Sotiras; Abolfazl Razi Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time Series Classification
850	FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting Authors: YUE JIANG; Yile Chen; Xiucheng Li; Qin Chao; SHUAI LIU; Gao Cong Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Few shot; time series forecasting; multivariate time series; Large Language Models; STGNN
851	Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series Authors: Yicheng Luo; Bowen Zhang; Zhen Liu; Qianli Ma Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: irregular multivariate time series; time series modeling; graph neural network
852	HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Authors: Boyuan Li; Yicheng Luo; Zhen Liu; Junhao Zheng; Jianming Lv; Qianli Ma Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Irregular Multivariate Time Series; Time Series Forecasting; Hypergraph Neural Networks
853	ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset Authors: Yilin wang; Peixuan Lei; Jie Song; Yuzhe Hao; Tao Chen; Yuxuan Zhang; LEI JIA; Yuanxiang Li; zhongyu wei Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time Series Analysis; Time-Series Question Answering; Time-Series-Textual Alignment; Time-Series-Textual Fusion
854	LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data Authors: Peer Nagy; Sascha Yves Frey; Kang Li; Bidipta Sarkar; Svitlana Vyetrenko; Stefan Zohren; Ani Calinescu; Jakob Nicolaus Foerster Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: finance; generative models; time series; state-space models; benchmark
855	Latent Variable Estimation in Bayesian Black-Litterman Models Authors: Thomas Yuan-Lung Lin; Jerry Yao-Chieh Hu; Paul W. Chiou; Peter Lin Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Black-Litterman Models; Portfolio Optimization; Bayesian Networks; Graphical Models; Hierarchical Models; Latent Variable Models; Uncertainty Quantification
856	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Authors: Xu Liu; Juncheng Liu; Gerald Woo; Taha Aksu; Yuxuan Liang; Roger Zimmermann; Chenghao Liu; Junnan Li; Silvio Savarese; Caiming Xiong; Doyen Sahoo Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time Series Foundation Models; Sparse Mixture of Experts
857	Optimal Information Retention for Time-Series Explanations Authors: Jinghang Yue; Jing Wang; Lu Zhang; Shuo Zhang; Da Li; Zhaoyang Ma; Youfang Lin Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Explanations; Time Series; Optimal Information Retention
858	ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Authors: Tianci Bu; Le Zhou; Wenchuan Yang; Jianhong Mou; Kang Yang; Suoyi Tan; Feng Yao; Jingyuan Wang; Xin Lu Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Minimal Information Trajectory Imputation; Prototype Learning; Diffusion Model
859	Robust Spatio-Temporal Centralized Interaction for OOD Learning Authors: Jiaming Ma; Binwu Wang; Pengkun Wang; Zhengyang Zhou; Xu Wang; Yang Wang Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Spatiotemporal learning; out-of-distribution; spatiotemporal prediction
860	Temporal Query Network for Efficient Multivariate Time Series Forecasting Authors: Shengsheng Lin; Haojun Chen; Haijie Wu; Chunyun Qiu; Weiwei Lin Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Multivariate time series forecasting; correlation modeling; time series analysis; machine learning
861	TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Authors: Ron Shapira Weber; Shahar benishay; Andrey Lavrinenko; Shahaf E. Finder; Oren Freifeld Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: Time series; alignment; dtw; dynamic time warping
862	TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state Authors: Xiaowen Ma; Zhen-Liang Ni; Shuai Xiao; Xinghao Chen Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: multivariate time series forecasting; hyperstate; efficiency
863	VerbalTS: Generating Time Series from Texts Authors: Shuqi Gu; Chuyue Li; Baoyu Jing; Kan Ren Affiliation: 官方页面未列出 Official area / track: applications->time_series Recognition: Poster/Regular Keywords: time series; conditional generation; diffusion model; multi-modality
864	A Closer Look at Backdoor Attacks on CLIP Authors: Shuo He; Zhifang Zhang; Feng Liu; Roy Ka-Wei Lee; Bo An; Lei Feng Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Backdoor Attacks; CLIP; Representation Decomposing; Backdoor Defense
865	Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss Authors: Sangyeon Park; Isaac Han; Seungwon Oh; KyungJoong Kim Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: loss of plasticity; plasticity; continual learning; reinforcement learning
866	BAnG: Bidirectional Anchored Generation for Conditional RNA Design Authors: Roman Klypa; Alberto Bietti; Sergei Grudinin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: generative modeling; sequential data; autoregressive generation; RNA design; biological sequences; deep learning models
867	Compositional Scene Understanding through Inverse Generative Modeling Authors: Yanbo Wang; Justin Dauwels; Yilun Du Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scene Understanding; Compositional Generative Modeling; Generalization
868	Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data Authors: David Heurtel-Depeiges; Anian Ruoss; Joel Veness; Tim Genewein Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: lossless compression; transformers; multimodal
869	Equivariant Polynomial Functional Networks Authors: Thieu Vo; Hoang V. Tran; Tho Tran Huu; An Nguyen The; Thanh Tran; Minh-Khoi Nguyen-Nhat; Duy-Tung Pham; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: neural functional network; equivariant model; permutation equivariance; scaling equivariance
870	Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems Authors: Maksim Zhdanov; Max Welling; Jan-Willem van de Meent Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: hierarchical transformer; ball tree; physical simulations; tree-based methods; window attention; AI4Science
871	Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization Authors: Yang Shen; Xiu-Shen Wei; Yifan Sun; YuXin Song; Tao Yuan; Jian Jin; He-Yang Xu; Yazhou Yao; Errui Ding Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Vision Tasks Understanding; Task-level Zero-shot Generalization
872	Explicit Discovery of Nonlinear Symmetries from Dynamic Data Authors: Lexiang Hu; Yikang Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: symmetry discovery; Lie theory; equivariant neural network
873	GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras Authors: Ekaterina Filimoshina; Dmitry Shirokov Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: equivariant neural network; geometric deep learning; geometric algebra; Clifford algebra; pseudo-orthogonal groups; Lipschitz groups; spin groups; weight shari…
874	GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning Authors: Zhun Mou; Bin Xia; Zhengchao Huang; Wenming Yang; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Text-to-Video Generation; Evaluation; MLLMs
875	GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models Authors: Zhaohong Huang; Yuxin Zhang; JingJing Xie; Fei Chao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Test Time Adaptation; Vision-Language Models; Deep Learning
876	Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference Authors: Mahendra Singh Thapa; Rui Li Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Federated Learning; Bayesian Inference; Variational Inference
877	How Compositional Generalization and Creativity Improve as Diffusion Models are Trained Authors: Alessandro Favero; Antonio Sclocchi; Francesco Cagnetta; Pascal Frossard; Matthieu Wyart Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Science of deep learning; compositionality; diffusion models; probabilistic graphical models; sample complexity; generalization
878	How Effective Can Dropout Be in Multiple Instance Learning ? Authors: Wenhui Zhu; Peijie Qiu; Xiwen Chen; Zhangsihao Yang; Aristeidis Sotiras; Abolfazl Razi; Yalin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multiple Instance Learning; Dropout; Optimization; Whole Slide Image; Computer Vision
879	How to Synthesize Text Data without Model Collapse? Authors: Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding; Zhouhan Lin; Zilong Zheng; Bowen Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: synthetic data; model collapse
880	How to set AdamW's weight decay as you scale model and dataset size Authors: Xi Wang; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Hyperparameter transfer; AdamW; Optimization
881	Incorporating Arbitrary Matrix Group Equivariance into KANs Authors: Lexiang Hu; Yisen Wang; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: equivariant neural network; Kolmogorov-Arnold network; Lie theory
882	L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning Authors: Xiang Zhang; Run He; Chen Jiao; Di Fang; Ming Li; Ziqian Zeng; Cen Chen; Huiping Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual Learning; Class-Incremental Learning; Multi-label Classification
883	LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models Authors: Dachuan Shi; Yonggan Fu; Xiangchi Yuan; Zhongzhi Yu; Haoran You; Sixu Li; Xin Dong; Jan Kautz; Pavlo Molchanov; Yingyan Celine Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: KV Cache Storage; Long-Context Modeling; Large Language Models
884	Leveraging Per-Instance Privacy for Machine Unlearning Authors: Nazanin Mohammadi Sepahvand; Anvith Thudi; Berivan Isik; Ashmita Bhattacharyya; Nicolas Papernot; Eleni Triantafillou; Daniel M. Roy; Gintare Karolina Dziugaite Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: machine unlearning; differential privacy
885	Lightweight-Mark: Rethinking Deep Learning-Based Watermarking Authors: Yupeng Qiu; Han Fang; Ee-Chien Chang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: computer vision; deep learning-based watermarking
886	Multiobjective distribution matching Authors: Xiaoyuan Zhang; Peijie Li; Yingying Yu; Yichi Zhang; Han Zhao; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: multiobjective optimization; multitask learning; distribution matching
887	Neural Genetic Search in Discrete Spaces Authors: Hyeonah Kim; Sanghyeok Choi; Jiwoo Son; Jinkyoo Park; Changhyun Kwon Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Genetic algorithm; test-time search; discrete sequence generation
888	Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation Authors: Guoqing Zhang; Shichao Kan; Fanghui Zhang; Wanru Xu; Yue Zhang; Yigang Cen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Scene Graph Generation; Diffusion Model; Feature Reconstruction
889	OW-VAP: Visual Attribute Parsing for Open World Object Detection Authors: Xing Xi; Xing Fu; Weiqiang Wang; Ronghua Luo Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Object Detection; Open World Object Detection; Open Vocabulary Object Detection
890	One-dimensional Path Convolution Authors: Xuanshu Luo; Martin Werner Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: 1D convolution; Hilbert curve; Z-order curve; convolutional neural network; deep learning; computer vision
891	Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Authors: Edoardo Urettini; Antonio Carta Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Online Continual Learning; Second-order optimization; Deep Learning
892	Open-Det: An Efficient Learning Framework for Open-Ended Detection Authors: Guiping Cao; Tao Wang; Wenjian Huang; Xiangyuan Lan; Jianguo Zhang; Dongmei Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Open-Ended Detection; Framework; Prompts Distillation; Loss Functions
893	RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer Authors: HaoTian Ni; Yake Wei; Hang Liu; Gong Chen; Chong Peng; Hao Lin; Di Hu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Dynamic Fusion; Modality Imbalance
894	SBGD: Improving Graph Diffusion Generative Model via Stochastic Block Diffusion Authors: Junwei Su; shan Wu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: graph generation; scalable; size generalization
895	SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning Authors: Jinpeng Chen; Runmin Cong; Yuzhi Zhao; Hongzheng Yang; Guangneng Hu; Horace Ip; Sam Kwong Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Multimodal Continual Instruction Tuning; Multimodal Large Language Model; Continual Learning
896	SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression Authors: Mohammad Mozaffari; Amir Yazdanbakhsh; Maryam Mehri Dehnavi Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: sparsity; 2:4 sparsity; quantization; low-rank; lora
897	Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning Authors: Run He; Di Fang; Yicheng Xu; Yawen Cui; Ming Li; Cen Chen; Ziqian Zeng; Huiping Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Continual learning; Class-incremental learning; Exemplar-free; Semantic shift estimation
898	Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning Authors: Huaicheng Zhou; Zifeng Zhuang; Donglin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Plasticity
899	TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Authors: Siyang Liu; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Tabular data; Machine learning; Tabular foundation model; TabPFN
900	Taming Diffusion for Dataset Distillation with High Representativeness Authors: Lin Zhao; Yushu Wu; Xinru Jiang; Jianyang Gu; Yanzhi Wang; Xiaolin Xu; Pu Zhao; Xue Lin Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: dataset distillation
901	The Importance of Being Lazy: Scaling Limits of Continual Learning Authors: Jacopo Graldi; Alessandro Breccia; Giulia Lanzillotta; Thomas Hofmann; Lorenzo Noci Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: feature learning; continual learning; deep learning; forgetting; ntk; muP; lazy; dmft
902	Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis Authors: Xu Wang; Yan Hu; Wenyu Du; Reynold Cheng; Benyou Wang; Difan Zou Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Circuit Analysis; Fine-Tuning; Mechanistic Interpretability
903	Tree-Sliced Wasserstein Distance with Nonlinear Projection Authors: Thanh Tran; Hoang V. Tran; Thanh Chu; Huyen Trang Pham; Laurent Ghaoui; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: tree-sliced wasserstein distance; optimal transport
904	Understanding Mode Connectivity via Parameter Space Symmetry Authors: Bo Zhao; Nima Dehmamy; Robin Walters; Rose Yu Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: symmetry; mode connectivity
905	Understanding the Limits of Deep Tabular Methods with Temporal Shift Authors: Haorun Cai; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Machine learning on tabular data; Temporal shift; Deep tabular learning
906	Universal Approximation of Mean-Field Models via Transformers Authors: Shiba Biswal; Karthik Elamvazhuthi; Rishi Sonthalia Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Mean Field Equations; Transformers; Universal Approximation; Collective Behavior
907	ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think Authors: Tao Feng; Wei Li; Didi Zhu; Hangjie Yuan; Wendi Zheng; Dan Zhang; Jie Tang Affiliation: 官方页面未列出 Official area / track: deep_learning Recognition: Poster/Regular Keywords: Catastrophic Forgetting; Continual Learning; Incremental Learning
908	A First-order Generative Bilevel Optimization Framework for Diffusion Models Authors: Quan Xiao; Hui Yuan; A F M Saif; Gaowen Liu; Ramana Rao Kompella; Mengdi Wang; Tianyi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Bilevel Optimization; diffusion model; hyperparameter optimization; fine-tuning; noise scheduling
909	Accelerating PDE-Constrained Optimization by the Derivative of Neural Operators Authors: Ze Cheng; Zhuoyu Li; Wang Xiaoqiang; Jianing Huang; Zhizhou Zhang; Zhongkai Hao; Hang Su Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: neural operators; gradient-based optimization; PDE-constrained optimization
910	Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts Authors: Lan Li; Da-Wei Zhou; Han-Jia Ye; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Domain-incremental learning，Class-imbalanced learning
911	An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks Authors: Mohsen Dehghankar; Mahdi Erfanian; Abolfazl Asudeh Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Deep Learning; Large Languange Models; Matrix Multiplication; Quantized Neural Networks; Algorithm Design
912	Avoiding spurious sharpness minimization broadens applicability of SAM Authors: Sidak Pal Singh; Hossein Mobahi; Atish Agarwala; Yann Dauphin Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Sharpness Aware Minimization; SAM; Hessian; LLMs; Generalization
913	Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning Authors: Le-Trung Nguyen; Aël Quélennec; Van-Tam Nguyen; Enzo Tartaglione Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Deep Learning; Computer Vision; Compression; Low rank
914	CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Authors: Xiaokun Feng; Dailing Zhang; Shiyu Hu; Xuchen Li; Meiqi Wu; Jing Zhang; Xiaotang Chen; Kaiqi Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: RGB-X Tracking; Multimodal Tracking; Compact Spatiotemporal Features
915	Cross-regularization: Adaptive Model Complexity through Validation Gradients Authors: Carlos Stein Brito Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Regularization; Hyperparameter Optimization; Meta-Learning; Cross-Validation; Noise Injection; Deep Learning; Gradient-Based Optimization
916	Distilling the Knowledge in Data Pruning Authors: Emanuel Ben Baruch; Adam Botach; Igor Kviatkovsky; Manoj Aggarwal; Gerard Medioni Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Data pruning; knowledge distillation
917	Dynamic Sparse Training of Diagonally Sparse Networks Authors: Abhishek Tyagi; Arjun Iyer; William H Renninger; Christopher Kanan; Yuhao Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Structured Sparsity; Sparse Neural Networks; Dynamic Sparse Training
918	Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity Authors: Wanjin Feng; Xingyu Gao; Wenqian Du; Hailong Shi; Peilin Zhao; Pengcheng Wu; Chunyan Miao Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Parallel Training; Spiking Neural Networks; Fixed-point Iteration
919	Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias Authors: Yuanzhe Hu; Kinshuk Goel; Vlad Killiakov; Yaoqing Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: LLM Pruning; Weight Matrix Analysis; Spectral Analysis; Marchenko-Pastur Law; Hyperparameter Tuning
920	Fast Inference with Kronecker-Sparse Matrices Authors: Antoine Gonon; Léon Zheng; Pascal Carrivain; TUNG QUOC LE Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: GPU matrix multiplication; Kronecker-sparse
921	Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities Authors: Yifang Chen; Xiaoyu Li; Yingyu Liang; Zhenmei Shi; Zhao Song Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Universal Approximation; Visual AutoRegressive Transformers; Fundamental Limits
922	High Dynamic Range Novel View Synthesis with Single Exposure Authors: Kaixuan Zhang; HuWang; Minxian Li; Mingwu Ren; Mao Ye; Xiatian Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: High Dynamic Range; Novel View Synthesis; Low Dynamic Range; Data Synthesis
923	Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation Authors: Shyam Nuggehalli; Jifan Zhang; Lalit K Jain; Robert D Nowak Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Deep Learning; Active Labeling; Class Imbalance
924	Improving Memory Efficiency for Training KANs via Meta Learning Authors: Zhangchi Zhao; Jun Shu; Deyu Meng; Zongben Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Hypernetwork; Kolmogorov-Arnold networks; Memory efficiency; Scalability and Extensibility
925	KIND: Knowledge Integration and Diversion for Training Decomposable Models Authors: Yucheng Xie; Fu Feng; Ruixiao Shi; Jing Wang; Yong Rui; Xin Geng Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Model Initialization; Decomposable Pre-trained Models; Diffusion Transformers
926	LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection Authors: Łukasz Struski; Michal B. Bednarczyk; Igor T. Podolak; Jacek Tabor Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: soft top-k selection; soft permutation; soft ranking; differentiable algorithms; Laplace distribution; complexity
927	Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales Authors: Jiaze Xu; Shiyu Xia; Xu Yang; Jiaqi Lv; Xin Geng Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: model initialization; Learngene; hypernetwork
928	Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning Authors: Lianbo Ma; Jianlun Ma; Yuee Zhou; Guoyang Xie; Qiang He; Zhichao Lu Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: model quantization; model compression; efficient neural network
929	Learning to Stop: Deep Learning for Mean Field Optimal Stopping Authors: Lorenzo Magnino; Yuchen Zhu; Mathieu Lauriere Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Optimal Stopping; Deep Learning; Mean Field Games; Mean Field Control
930	MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs Authors: Tommaso Mencattini; Robert Adrian Minut; Donato Crisostomi; Andrea Santilli; Emanuele Rodolà Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Model Merging; Evolutionary Algorithms; Efficient Methods for Machine Learning; Language Models; LLMs; Multilingual Models
931	Matryoshka Quantization Authors: Pranav Ajit Nair; Puranjay Datta; Jeff Dean; Prateek Jain; Aditya Kusupati Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Matryoshka; Quantization; LLMs; Deployment
932	Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Authors: Juncheol Shin; Minsang Seok; Seonggon Kim; Eunhyeok Park Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Post-Training Quatnization; Multi-target Domain Adaptation; Model Merging
933	MixMin: Finding Data Mixtures via Convex Minimization Authors: Anvith Thudi; Evianne Rovers; Yangjun Ruan; Tristan Thrush; Chris J. Maddison Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Data Mixing; Bi-Level optimization; Convex Surrogates; Large Language Models; Foundation Models; Chemistry
934	On Exact Bit-level Reversible Transformers Without Changing Architecture Authors: Guoqiang Zhang; JP Lewis; W. Bastiaan Kleijn Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: transformer; reversability; BDIA; quantization
935	On-Device Collaborative Language Modeling via a Mixture of Generalists and Specialists Authors: Dongyang Fan; Bettina Messmer; Nikita Doikov; Martin Jaggi Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Federated Learning; Collaborative Learning; On-device LLMs; Mixture of Experts; Alternating Minimization
936	Oscillation-Reduced MXFP4 Training for Vision Transformers Authors: Yuxiang Chen; Haocheng Xi; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Efficient Machine Learning; Low-Precision Training; Quantization; FP4; Microscaling
937	PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity Authors: Mustafa Burak Gurbuz; Xingyu Zheng; Constantine Dovrolis Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: data pruning; coresets; data selection; deep learning
938	Physics-Informed DeepONets for drift-diffusion on metric graphs: simulation and parameter identification Authors: Jan Blechschmidt; Tom-Christian Riemer; Max Winkler; Martin STOLL; Jan-Frederik Pietschmann Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: physics informed learning; deep operator nets; metric graphs; drift-diffusion; parameter identification
939	Prompt-based Depth Pruning of Large Language Models Authors: Juyun Wee; Minjae Park; Jaeho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Depth pruning; Model Compression
940	Provably Improving Generalization of Few-shot models with Synthetic Data Authors: Lan-Cuong Nguyen; Quan Nguyen-Tri; Bang Tran Khanh; Dung D. Le; Long Tran-Thanh; Khoat Than Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Synthetic data; Few-Shot learning; Robustness; Generalization bounds
941	QuEST: Stable Training of LLMs with 1-Bit Weights and Activations Authors: Andrei Panferov; Jiale Chen; Soroush Tabesh; Mahdi Nikdan; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: efficiency; LLMs; quantization; gradient estimation
942	RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy Authors: Zipeng Ji; Guanghui Zhu; Chunfeng Yuan; Yihua Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Automated Machine Learning; Neural Architecture Search; Large Language Models
943	Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective Authors: Aojun Lu; Hangjie Yuan; Tao Feng; Yanan Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Continual Learning; Incremental Learning
944	SAND: One-Shot Feature Selection with Additive Noise Distortion Authors: Pedram Pad; Hadi Hammoud; Mohamad Dia; Nadim Maamari; Liza Andrea Dunbar Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: feature selection; machine learning; neural networks
945	SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training Authors: Chao Ma; Wenbo Gong; Meyer Scetbon; Edward Meeds Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Efficient LLM optimization; Stateless Optimizers
946	Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation Authors: Dahun Shin; Dongyeop Lee; Jinseok Chung; Namhoon Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: deep learning; second-order optimization; sharpness minimization
947	Scalable Meta-Learning via Mixed-Mode Differentiation Authors: Iurii Kemaev; Dan A. Calian; Luisa M Zintgraf; Gregory Farquhar; Hado van Hasselt Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: meta-learning; bilevel optimization; second-order optimization; automatic differentiation; autodiff; mixed-mode differentiation; gradient-based methods; scalab…
948	Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model Authors: Kaiwen Tang; Zhanglu Yan; Weng-Fai Wong Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Spiking Neural Networks; Small Language Models; Energy Efficiency
949	Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Authors: Jialin Zhao; Yingtao Zhang; Xinghang Li; Huaping Liu; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Parameter-efficient training; Pre-training; Hyperbolic Network
950	SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference Authors: Yuan Zhang; Chun-Kai Fan; Junpeng Ma; Wenzhao Zheng; Tao Huang; Kuan Cheng; Denis A Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Sparsification; Vision Language Models; Efficiency
951	Stream-level Flow Matching with Gaussian Processes Authors: Ganchao Wei; Li Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Generative Model; Normalizing Flows; Flow Matching; Gaussian process
952	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training Authors: Jinbo Wang; Mingze Wang; Zhanpeng Zhou; Junchi Yan; Weinan E; Lei Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Sharpness; Optimization; Transformer; LLM pre-training
953	Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries Authors: Huakun Luo; Haixu Wu; Hang Zhou; Lanxiang Xing; Yichen Di; Jianmin Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: PDE; Neural Operator; Eidetic Physical States; Local Adaptive mechanism; Parallelism optimization; large-scale industrial dataset
954	Understanding the Logic of Direct Preference Alignment through Logic Authors: Kyle Richardson; Vivek Srikumar; Ashish Sabharwal Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: preference learning; neuro-symbolic; logic; reasoning; model alignment
955	Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers Authors: Hang Zhou; Yuezhou Ma; Haixu Wu; Haowen Wang; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Neural PDE Solver; Deep Learning
956	Unpaired Point Cloud Completion via Unbalanced Optimal Transport Authors: Taekyung Lee; Jaemoo Choi; Jaewoong Choi; Myungjoo Kang Affiliation: 官方页面未列出 Official area / track: deep_learning->algorithms Recognition: Poster/Regular Keywords: Point Cloud Completion; Unpaired Point Cloud Completion; Unbalanced optimal transport; Optimal transport
957	$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation Authors: Saul Santos; António Farinhas; Daniel C McNamee; Andre Martins Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Long context; Video understanding; LLM; Continuous attention; VLLM
958	Attention-Level Speculation Authors: Jack Cai; Ammar Vora; Randolph Zhang; Mark O'Connor; Mark C. Jeffrey Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Inference; Speculation; Attention; Transformer; Large Language Model
959	Benign Overfitting in Token Selection of Attention Mechanism Authors: Keitaro Sakamoto; Issei Sato Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Attention mechanism; token selection; benign overfitting; gradient descent; over-parameterization
960	Curvature-aware Graph Attention for PDEs on Manifolds Authors: Yunfeng Liao; Jiawen Guan; Xiucheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Graph neural network; Partial differential equations; Curvature-aware attention; Parallel transport; Differential geometry
961	Customizing the Inductive Biases of Softmax Attention using Structured Matrices Authors: Yilun Kuang; Noah Amsel; Sanae Lotfi; Shikai Qiu; Andres Potapczynski; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Attention; Inductive Biases; Low Rank Bottleneck; Locality Bias; Hierarchical Matrices; Structured Matrices; Language Modeling; In-Context Regression
962	DeepCrossAttention: Supercharging Transformer Residual Connections Authors: Mike Heddes; Adel Javanmard; Kyriakos Axiotis; Gang Fu; Mohammadhossein Bateni; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: residual network; cross attention; resnet; transformer
963	Disentangling and Integrating Relational and Sensory Information in Transformer Architectures Authors: Awni Altabaa; John Lafferty Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: relational; reasoning; attention; transformers; inductive biases; sensory; relational; architecture; attention
964	EPIC: Efficient Position-Independent Caching for Serving Large Language Models Authors: Junhao Hu; Wenrui Huang; Weidong Wang; Haoyi Wang; tiancheng hu; zhang qin; Hao Feng; Xusheng Chen; Yizhou Shan; Tao Xie Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Machine Learning System; Context Caching; KV Cache; Sparsity
965	ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans Authors: Ashkan Shahbazi; Elaheh Akbari; Darian Salehi; Xinran Liu; Navid NaderiAlizadeh; Soheil Kolouri Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Geometric deep learning; Optimal Transport; Attention mechanism; doubly-stochastic matrices
966	Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling Authors: Xiang Hu; Zhihao Teng; Jun Zhao; Wei Wu; Kewei Tu Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: long-context language modeling; retrieval-based LM; length generalization; attention mechanism
967	HashAttention: Semantic Sparsity for Faster Inference Authors: Aditya Desai; Shuo Yang; Alejandro Cuadron; Matei Zaharia; Joseph E. Gonzalez; Ion Stoica Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: hashing; learning to hash; attention; sparsity; time to next token; decoding; generative LLM
968	Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering Authors: Xin Yang; Xingrun Li; Heng Chang; Yang jinze; Xihong Yang; Shengyu Tao; Maiko Shigeno; Ningkang Chang; Junfeng Wang; Dawei Yin; Erxue Min Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Collaborative Filtering; Hyperbolic Representation Learning; Graph Transformer
969	How Transformers Learn Structured Data: Insights From Hierarchical Filtering Authors: Jerome Garnier-Brun; Marc Mezard; Emanuele Moscato; Luca Saglietti Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Transformers; Belief Propagation; mechanistic explanation; structured data; hierarchical data model; attention; masked language modeling
970	In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention Authors: Jianliang He; Xintian Pan; Siyu Chen; Zhuoran Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Multi-head Attention; Mechanism Intepretation; Training Dynamics; Expressive Power
971	LASER: Attention with Exponential Transformation Authors: Sai Surya Duvvuri; Inderjit S Dhillon Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Large language modeling; deep learning; transformer; Conformer; ViT
972	LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models Authors: Tzu-Tao Chang; Shivaram Venkataraman Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Distributed System; Cross-Attention; Long Context; Multimodal Large Language Model
973	LieRE: Lie Rotational Positional Encodings Authors: Sophie Ostmeier; Brian Axelrod; Maya Varma; Michael Moseley; Akshay S Chaudhari; Curtis Langlotz Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Position encoding; Vision Transformer
974	MVA: Linear Attention with High-order Query-Keys Integration and Multi-level Vocabulary Decomposition Authors: wang ning; Zekun Li; Tongxin Bai; Man Yao; Zhen Qin; Guoqi Li Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Fine-tune transformer to RNN; Linear attention; Linear Model
975	MoH: Multi-Head Attention as Mixture-of-Head Attention Authors: Peng Jin; Bo Zhu; Li Yuan; Shuicheng YAN Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Multi-Head Attention; Mixture of Experts; Foundation Models
976	Nonparametric Modern Hopfield Models Authors: Jerry Yao-Chieh Hu; Bo-Yu Chen; Dennis Wu; Feng Ruan; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: dense associative memory; modern Hopfield model; Hopfield network; efficient transformer; efficient attention; transformer; attention; foundation model; large…
977	On Expressive Power of Looped Transformers: Theoretical Analysis and Enhancement via Timestep Encoding Authors: Kevin Xu; Issei Sato Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Transformer; Looped Transformer; Expressive power; Approximation Rate; HyperNetworks
978	On Understanding Attention-Based In-Context Learning for Categorical Data Authors: Aaron T Wang; William Convertino; Xiang Cheng; Ricardo Henao; Lawrence Carin Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: attention networks; in-context learning; Transformers
979	On the Emergence of Position Bias in Transformers Authors: Xinyi Wu; Yifei Wang; Stefanie Jegelka; Ali Jadbabaie Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: attention mechanism; transformers; position bias; positional encoding; deep learning theory
980	ParallelComp: Parallel Long-Context Compressor for Length Extrapolation Authors: Jing Xiong; Jianghan Shen; Chuanyang Zheng; Zhongwei Wan; Chenyang Zhao; Chiwun Yang; Fanghua Ye; Hongxia Yang; Lingpeng Kong; Ngai Wong Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Large Language Models; Parallel Attention; KV Cache Eviction; Attention Calibration; Attention Sink
981	Primphormer: Efficient Graph Transformers with Primal Representations Authors: Mingzhen He; Ruikai Yang; Hanling Tian; Youmei Qiu; Xiaolin Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Efficient graph Transformer; self-attention mechanisms; primal representation; asymmetry; kernel methods.
982	RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers Authors: Xuwei Xu; Yang Li; Yudong Chen; Jiajun Liu; Sen Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: structural reparameterization; vision transformer
983	SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization Authors: Jintao Zhang; Haofeng Huang; Pengle Zhang; Jia wei; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Efficient attention; quantization; inference acceleration; Dit; video generation; AI Infrastructure; LLM Infrastructure
984	Selective Prompt Anchoring for Code Generation Authors: Yuan Tian; Tianyi Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Prompt; Code Generation; Self-attention; Taylor expansion; Logits; Anchoring
985	SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference Authors: Jintao Zhang; Chendong Xiang; Haofeng Huang; Jia wei; Haocheng Xi; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Efficient attention; sparse attention; inference acceleration; Dit; Video generation; AI Infrastructure; LLM Infrastructure
986	Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity Authors: Haocheng Xi; Shuo Yang; Yilong Zhao; Chenfeng Xu; Muyang Li; Xiuyu Li; Yujun Lin; Han Cai; Jintao Zhang; Dacheng Li; Jianfei Chen; Ion Stoica; Kurt Keutzer; Song Han Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Sparse Attention; Video Diffusion Transformer; Efficient Inference
987	Star Attention: Efficient LLM Inference over Long Sequences Authors: Shantanu Acharya; Fei Jia; Boris Ginsburg Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Large Language Models; Transformers; Attention Mechanisms; Sparse Attention; Long Context; Inference Optimization; Distributed Systems
988	The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training Authors: Matteo Saponati; Pascal Josef Sager; Pau Vilimelis Aceituno; Thilo Stadelmann; Benjamin F Grewe Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Transformer models; Self-attention; Deep Learning Theory; Training Dynamics; Self-supervised training; Initialisation techniques; Mechanistic Interpretability
989	Token Coordinated Prompt Attention is Needed for Visual Prompting Authors: Zichen Liu; Xu Zou; Gang Hua; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Visual Prompting; Prompt Learning
990	Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models Authors: Mingi Jung; Saehyung Lee; Eunji Kim; Sungroh Yoon Affiliation: 官方页面未列出 Official area / track: deep_learning->attention_mechanisms Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Detailed Image Captioning; Attention-based Strategies
991	AtlasD: Automatic Local Symmetry Discovery Authors: Manu Bhat; Jonghyun Park; Jianke Yang; Nima Dehmamy; Robin Walters; Rose Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Local symmetry discovery; symmetry discovery; equivariance; gauge equivariant neural network; Lie theory
992	BoA: Attention-aware Post-training Quantization without Backpropagation Authors: Junhan Kim; Ho-young Kim; Eulrang Cho; Chungman Lee; Joonyoung Kim; Yongkweon Jeon Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Quantization; Hyper-scale LLMs; Attention; Hessian
993	Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Authors: Zhan Zhuang; Xiequn Wang; Wei Li; Yulong Zhang; Qiushi Huang; Shuhao Chen; Xuehao Wang; Yanbin Wei; Yuhe Nie; Kede Ma; Yu Zhang; Ying Wei Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; linear mode connectivity; low-rank adaptation; model merging
994	Compositional Generalization via Forced Rendering of Disentangled Latents Authors: Qiyao Liang; Daoyuan Qian; Liu Ziyin; Ila R Fiete Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Factorization; Compositionality; Compositional Generalization; Data Efficiency
995	Concept-Centric Token Interpretation for Vector-Quantized Generative Models Authors: Tianze Yang; Yucheng Shi; Mengnan Du; Xuansheng Wu; Qiaoyu Tan; Jin Sun; Ninghao Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Vector-Quantized Generative Model; Explainability; Information Bottleneck
996	CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning Authors: Qingqing Cao; Mahyar Najibi; Sachin Mehta Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: clip; synthetic data; multimodal learning; longtail
997	Curvature Enhanced Data Augmentation for Regression Authors: Ilya Kaufman; Omri Azencot Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Manifold learning; Data augmentation; Regression
998	DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning Authors: Aaditya Naik; Jason Liu; Claire Wang; Amish Sethi; Saikat Dutta; Mayur Naik; Eric Wong Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: neurosymbolic learning; scalability; vectorization; differentiable reasoning
999	Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment Authors: Chengting Yu; Xiaochen Zhao; Lei Liu; Shu Yang; Gaoang Wang; Erping Li; Aili Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Spiking Neural Networks; Knowledge Distillation; Image Classification; Backpropagation
1000	FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks Authors: Laines Schmalwasser; Niklas Penzel; Joachim Denzler; Julia Niebling Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: explainability; concept-based explanations; concept activation vectors; computational efficiency; deep learning
1001	Feature Shift Localization Network Authors: Míriam Barrabés; Daniel Mas Montserrat; Kapal Dev; Alexander G. Ioannidis Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: feature shift localization; shift detection; shift; feature shift; distribution shift
1002	Function-Space Learning Rates Authors: Edward Milsom; Ben Anson; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: deep learning; optimisation; function space; hyperparameter transfer; muP; learning rate; kronecker
1003	Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion Authors: Kaijun Liu; Sijie Ruan; Liang Zhang; Cheng Long; Shuliang Wang; liang yu Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Trajectory recovery; Diffusion model; Self-supervised learning; Human mobility
1004	How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies Authors: Piotr Kubaty; Bartosz Wójcik; Bartłomiej Tomasz Krzepkowski; Monika Michaluk; Tomasz Trzcinski; Jary Pomponi; Kamil Adamczewski Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: early exiting; multi-exit models; conditional computation; dynamic neural networks; efficient inference
1005	Improving Soft Unification with Knowledge Graph Embedding Methods Authors: Xuanming Cui; Chionh Wei Peng; Adriel Kuek; Ser-Nam Lim Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Neuro-Symbolic Systems; Knowledge Graph Embedding
1006	Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations Authors: Kexuan Shi; Hai Chen; Leheng Zhang; Shuhang Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Spectral Bias; Implicit Neural Representations; Training Dynamics; Inductive Gradient Adjustment
1007	Investigating the Overlooked Hessian Structure: From CNNs to LLMs Authors: Qian-Yuan Tang; Yufei Gu; Yunfeng Cai; Mingming Sun; Ping Li; zhou Xun; Zeke Xie Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Hessian; Loss Landscape; Generalization; Large Language Models
1008	Knowledge Swapping via Learning and Unlearning Authors: Mingyu Xing; Lechao Cheng; Shengeng Tang; Yaxiong Wang; Zhun Zhong; Meng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: continual learning; machine unlearning; knowledge swapping
1009	LAuReL: Learned Augmented Residual Layer Authors: Gaurav Menghani; Ravi Kumar; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: residual connection; skip connection; residual layer; resnet; residual
1010	Learning without Isolation: Pathway Protection for Continual Learning Authors: Zhikang Chen; Abudukelimu Wuerkaixi; Sen Cui; Haoxuan Li; Ding Li; Jingfeng Zhang; Bo Han; Gang Niu; Houfang Liu; Yi Yang; Sifan YANG; Changshui Zhang; Tianling Ren Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Continual learning
1011	Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams Authors: Yuan Feng; Yukun Cao; Hairu Wang; Xike Xie; S Kevin Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Data Streams; Memory Augmented Neural Networks; Data Compression
1012	Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries Authors: Akira Ito; Masanori Yamada; Atsutoshi Kumagai Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Linear mode connectivity; deep learning; permutation symmetry
1013	MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency Authors: Dongzhi Jiang; Renrui Zhang; Ziyu Guo; Yanwei Li; Yu Qi; Xinyan Chen; Liuhui Wang; Jianhan Jin; Claire Guo; Shen Yan; Bo Zhang; Chaoyou Fu; Peng Gao; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Evaluation and Benchmark; MLLM; Reasoning
1014	On Temperature Scaling and Conformal Prediction of Deep Classifiers Authors: Lahav Dabah; Tom Tirer Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: classification; temperature scaling; conformal prediction; conditional coverage; prediction sets
1015	One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models Authors: Mingzhao Yang; Shangchao Su; Bin Li; Xiangyang Xue Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Federated Learning; Diffusion Model
1016	Prior Knowledge Guided Neural Architecture Generation Authors: Jingrong Xie; Han Ji; Yanan Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: neural architecture search; neural architecture generation
1017	Rethinking Time Encoding via Learnable Transformation Functions Authors: Xi Chen; Yateng Tang; Jiarong Xu; Jiawei Zhang; Siwei Zhang; Sijia Peng; Xuehao Zheng; Yun Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Time Encoding; Dynamic Graph; Time Series; Deep Function Learning
1018	SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning Authors: Gaole Dai; Chun-Kai Fan; Yiming Tang; Zhi Zhang; Yuan Zhang; Yulu Gan; Qizhe Zhang; Cheng-Ching Tseng; Shanghang Zhang; Tiejun Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Parameter-efficient Fine-tuning; Foundation Models; Neuroscience; Neural Engrams; Long-term Synaptic Development
1019	Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation Authors: Tianyi Zhang; Junda Su; Aditya Desai; Oscar Wu; Zhaozhuo Xu; Anshumali Shrivastava Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: large language models; fine-tuning; sketching
1020	Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound Authors: David Boetius; Stefan Leue; Tobias Sutter Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: neural network verification; probabilistic verification; fairness; safety; branch and bound
1021	Stochastic Encodings for Active Feature Acquisition Authors: Alexander Luke Ian Norcliffe; Changhee Lee; Fergus Imrie; Mihaela van der Schaar; Pietro Lio Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Active Feature Acquisition; Dynamic Feature Selection
1022	Supercharging Graph Transformers with Advective Diffusion Authors: Qitian Wu; Chenxiao Yang; Kaipeng Zeng; Michael M. Bronstein Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: geometric deep learning; graph machine learning; topological shifts; transformers; graph neural networks
1023	Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation Authors: Hung-Chieh Fang; Po-Yi Lu; Hsuan-Tien Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Domain Adaptation; Universal Domain Adaptation; Machine Learning
1024	Tool Unlearning for Tool-Augmented LLMs Authors: Jiali Cheng; Hadi Amiri Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Tool-Augmented LLM; Machine Unlearning
1025	Towards Memorization Estimation: Fast, Formal and Free Authors: Deepak Ravikumar; Efstathia Soufleri; Abolfazl Hashemi; Kaushik Roy Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Memorization; Learning Time
1026	When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration Authors: Suorong Yang; Peng Ye; Furao Shen; Dongzhan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->everything_else Recognition: Poster/Regular Keywords: Dynamic data selection; dataset pruning; data augmentation
1027	Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning Authors: Na Lee; Konstantinos Barmpas; Yannis Panagakis; Dimitrios Adamos; Nikolaos Laskaris; Stefanos Zafeiriou Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Foundation Models; Large Brainwave Foundation Models; Brain-Computer Interface (BCI); Low-Rank Adaptation (LoRA); Electroencephalogram (EEG)
1028	BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing Authors: Dongliang Guo; Mengxuan Hu; Zihan Guan; Thomas Hartvigsen; Sheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Model editing; Multi-modal model
1029	Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks Authors: Dongwoo Lee; Dong Bok Lee; Steven Adriaensen; Juho Lee; Sung Ju Hwang; Frank Hutter; Seon Joo Kim; Hae Beom Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Neural Scaling Laws; Bayesian Inference; Prior-data Fitted Networks
1030	Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? Authors: Antonia Wüst; Tim Tobiasch; Lukas Helff; Inga Ibs; Wolfgang Stammer; Devendra Singh Dhami; Constantin A. Rothkopf; Kristian Kersting Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Visual Reasoning; Vision Language Models; Bongard problems
1031	Contrastive Localized Language-Image Pre-Training Authors: Hong-You Chen; Zhengfeng Lai; Haotian Zhang; Xinze Wang; Marcin Eichner; Keen You; Meng Cao; Bowen Zhang; Yinfei Yang; Zhe Gan Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: CLIP; MLLM; Foundation Models
1032	Diffusion Instruction Tuning Authors: Chen Jin; Ryutaro Tanno; Amrutha Saseendran; Tom Diethe; Philip Alexander Teare Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: vision-language models; diffusion models; image-to-text generation; text-to-image alignment; cross-attention; visual instruction tuning; attention alignment; o…
1033	ExLM: Rethinking the Impact of $\texttt{[MASK]}$ Tokens in Masked Language Models Authors: Kangjie Zheng; Junwei Yang; Siyue Liang; Bin Feng; Zequn Liu; Wei Ju; Zhiping Xiao; Ming Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Masked Language Models; Pre-trained Models; Language Models; Text Modeling; SMILES Modeling
1034	Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts Authors: Yike Yuan; Ziyu Wang; Zihao Huang; Defa Zhu; Xun Zhou; Jingyi Yu; Qiyang Min Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Mixture of Experts; Diffusion Models
1035	Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Authors: Puning Yang; Qizhou Wang; Zhuo Huang; Tongliang Liu; Chengqi Zhang; Bo Han Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Large Language Model; Large Language Model Unlearning
1036	FG-CLIP: Fine-Grained Visual and Textual Alignment Authors: Chunyu Xie; Bin Wang; Fanjing Kong; Jincheng Li; Dawei Liang; Gengshen Zhang; Dawei Leng; Yuhui Yin Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Vision-Language Model; Contrastive Learning; Image-Text Dataset
1037	From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications Authors: AJAY KUMAR JAISWAL; Yifan Wang; Lu Yin; Shiwei Liu; Runjin Chen; Jiawei Zhao; Ananth Grama; Yuandong Tian; Zhangyang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Large language models; Gradient subspace; Memory-efficient training; Optimization; Low Rank Compression
1038	GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Authors: Zixiang Ai; Zichen Liu; Yuanhang Lei; Zhenyu Cui; Xu Zou; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Point Cloud Model; Parameter-Efficient Fine-tuning; Prompt Learning
1039	GraphGPT: Generative Pre-trained Graph Eulerian Transformer Authors: Qifang Zhao; Weidong Ren; Tianyu Li; Hong Liu; Xingsheng He; Xiaoxiao Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Graph; GraphGPT; GPT; Foundation Model; Pre-train
1040	Griffin: Towards a Graph-Centric Relational Database Foundation Model Authors: Yanbo Wang; Xiyuan Wang; Quan Gan; Minjie Wang; Qibin Yang; David Wipf; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Relational Database; Foundation Model
1041	How Far Is Video Generation from World Model: A Physical Law Perspective Authors: Bingyi Kang; Yang Yue; Rui Lu; Zhijie Lin; Yang Zhao; Kaixin Wang; Gao Huang; Jiashi Feng Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: video generation; diffusion model; world model
1042	Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens Authors: Ting-Ji Huang; Jia-Qi Yang; Chunxu Shen; Kai-Qi Liu; De-Chuan Zhan; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: multi-task recommender; out-of-vocabulary token; user representation
1043	In-Context Deep Learning via Transformer Models Authors: Weimin Wu; Maojiang Su; Jerry Yao-Chieh Hu; Zhao Song; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: foundation model; transformer; in-context learning
1044	In-Context Learning as Conditioned Associative Memory Retrieval Authors: Weimin Wu; Teng-Yun Hsiao; Jerry Yao-Chieh Hu; Wenxin Zhang; Han Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: In-Context Learning; Large Language Model; Foundation Model; Transformer; Attention; Modern Hopfield Model; Associative Memory
1045	Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning Authors: Wenke Huang; Jian Liang; Zekun Shi; Didi Zhu; Guancheng Wan; He Li; Bo Du; Dacheng Tao; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Fine-Tuning; Catastrophic Forgetting
1046	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding Authors: Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao; Lemeng Wu; Jun Chen; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu; Hyunwoo J. K… Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Long Video Understanding; Video-Language; Spatiotemporal
1047	M+: Extending MemoryLLM with Scalable Long-Term Memory Authors: Yu Wang; Dmitry Krotov; Yuanzhe Hu; Yifan Gao; Wangchunshu Zhou; Julian McAuley; Dan Gutfreund; Rogerio Feris; Zexue He Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: memory; long-term memory; long context
1048	MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Authors: YiFan Zhang; Tao Yu; Haochen Tian; Chaoyou Fu; Peiyan Li; Jianshu Zeng; Wulin Xie; Yang Shi; Huanyu Zhang; Junkang Wu; Xue Wang; Yibo Hu; Bin Wen; Tingting Gao; Zhang Zhang; Fan Y… Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: multimodal large language models; human preferences; alignment with human preference
1049	MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections Authors: Da Xiao; Qingye Meng; Shengping Li; Xingyuan Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: model architecture; Transformer; residual connections; dense skip connections; LLMs; pre-training
1050	Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Authors: Chenghao Fan; Zhenyi Lu; Sichen Liu; Chengfeng Gu; Xiaoye Qu; Wei Wei; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-Tuning; Large Language Model; Mixture of Experts; Low-Rank Adaptation
1051	Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads Authors: Siqi Kou; Jiachun Jin; Zhihong Liu; Chang Liu; Ye Ma; Jian Jia; Quan Chen; Peng Jiang; Zhijie Deng Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: multimodal foundation model; interleaved image-text generation; diffusion
1052	Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Authors: Jeonghoon Kim; Byeongchan Lee; Cheonbok Park; Yeontaek Oh; Beomjun Kim; Taehwan Yoo; Seongjin Shin; Dongyoon Han; Jinwoo Shin; Kang Min Yoo Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: layer normalization; transformers; architecture; pre-training
1053	Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models Authors: Congcong Zhu; Xiaoyan Xu; Jiayue Han; Jingrun Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: PDE foundation model; Physics-informed constrain; Inverse problem; Self-supervised learning
1054	Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models Authors: Daiki Chijiwa; Taku Hasegawa; Kyosuke Nishida; Kuniko Saito; Susumu Takeuchi Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: inference-time tuning; reward maximization
1055	Primitive Vision: Improving Diagram Understanding in MLLMs Authors: Shan Zhang; Aotian Chen; Yanpeng Sun; Jindong Gu; Yi-Yu Zheng; Piotr Koniusz; Kai Zou; Anton van den Hengel; Yuan Xue Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Visual Mathematical Understanding; Visual Perception; Geometric Primitive Grounding
1056	QMamba: On First Exploration of Vision Mamba for Image Quality Assessment Authors: Fengbin Guan; Xin Li; Zihao Yu; Yiting Lu; Zhibo Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Image Quality Assessment; State Space Model; Prompt Tuning
1057	Reasoning Limitations of Multimodal Large Language Models. A case study of Bongard Problems Authors: Mikołaj Małkiński; Szymon Pawlonka; Jacek Mańdziuk Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Abstract Visual Reasoning; Bongard Problems
1058	Rethinking the Bias of Foundation Model under Long-tailed Distribution Authors: Jiahao Chen; Bin Qin; Jiangmeng Li; Hao Chen; Bing Su Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Long-tailed learning; Foundation model; Pre-training bias
1059	SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Authors: Tianzhe Chu; Yuexiang Zhai; Jihan Yang; Shengbang Tong; Saining Xie; Dale Schuurmans; Quoc V Le; Sergey Levine; Yi Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Generalization; large language model; large vision-language model; post-training
1060	Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection Authors: Louis Béthune; David Grangier; Dan Busbridge; Eleonora Gualdoni; marco cuturi; Pierre Ablin Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: LLM; fine-tuning; scaling laws
1061	Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation Authors: Chuanqi Cheng; Jian Guan; Wei Wu; Rui Yan Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Vision Language Models; Video Understanding
1062	TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Authors: Jingang QU; David Holzmüller; Gaël Varoquaux; Marine Le Morvan Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Foundation Model; In-Context Learning; Tabular Data; Tabular Classification
1063	The Double-Ellipsoid Geometry of CLIP Authors: Meir Yossef Levi; Guy Gilboa Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: CLIP embedding; modality gap; narrow cone effect
1064	The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering Authors: Zhuowei Li; Haizhou Shi; Yunhe Gao; Di Liu; Zhenting Wang; Yuxiao Chen; Ting Liu; Long Zhao; Hao Wang; Dimitris N. Metaxas Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Large Vision-Language Model; Hallucination
1065	Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning Authors: Lang Feng; Weihao Tan; Zhiyi Lyu; Longtao Zheng; Haiyang Xu; Ming Yan; Fei Huang; Bo An Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: vision-language model; agent; reinforcement learning; online fine-tuning; counterfactual
1066	Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees Authors: Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V Chawla; Chuxu Zhang; Yanfang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: Graph Neural Network; Foundation Model; Transferability; Theoretical Basis; Tree Structure
1067	Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration Authors: Yuanchen Wu; Ke Yan; Shouhong Ding; Ziyin Zhou; Xiaoqiang Li Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: LVLM; Post-training
1068	Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models Authors: Konstantin Donhauser; Kristina Ulicna; Gemma Elyse Moran; Aditya Ravuri; Kian Kenyon-Dean; Cian Eastwood; Jason Hartford Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: mechanistic interpretability; scientific discovery; masked auto-encoders
1069	What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models Authors: Keyon Vafa; Peter G. Chang; Ashesh Rambachan; Sendhil Mullainathan Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: world models; foundation models; inductive bias; large language models
1070	What If We Recaption Billions of Web Images with LLaMA-3? Authors: Xianhang Li; Haoqin Tu; Mude Hui; Zeyu Wang; Bingchen Zhao; Junfei Xiao; Sucheng Ren; Jieru Mei; Qing Liu; Huangjie Zheng; Yuyin Zhou; Cihang Xie Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: image-text datasets; synthetic captions
1071	Whitened CLIP as a Likelihood Surrogate of Images and Captions Authors: Roy Betser; Meir Yossef Levi; Guy Gilboa Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: CLIP; latent space; likelihood approximation; multi-modal representation
1072	WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training Authors: Benjamin Feuer; Chinmay Hegde Affiliation: 官方页面未列出 Official area / track: deep_learning->foundation_models Recognition: Poster/Regular Keywords: deep learning; machine learning; foundation models; llms; large language models; datasets; sft; post-training
1073	Accelerated Diffusion Models via Speculative Sampling Authors: Valentin De Bortoli; Alexandre Galashov; Arthur Gretton; Arnaud Doucet Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; speculative sampling; maximal coupling; fast sampling of diffusion models
1074	AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models Authors: Yaopei Zeng; Yuanpu Cao; Bochuan Cao; Yurui Chang; Jinghui Chen; Lu Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion model; Adversarial attack
1075	Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation Authors: Cheng Jin; Zhenyu Xiao; Chutao Liu; Yuantao Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Classifier Free Guidance; Text-to-Image Generation
1076	AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration Authors: Wenhao Sun; Rong-Cheng Tu; Jingyi Liao; Zhao Jin; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Video Generation; Diffusion Models; Video Transformers; Efficient Diffusion
1077	Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders Authors: Kuheli Pratihar; Debdeep Mukhopadhyay Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Variational Autoencoders; Sparse Linear Regression; NP-Hard; Smoothing; Sparsity; Matrix Conditioning
1078	Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance Authors: Marta Gentiloni Silveri; Antonio Ocello Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Score-Based Generative Models; Hamilton–Jacobi–Bellman equation; Log-concavity; Convergence Guarantees
1079	Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning Authors: Fan Shi; Bin Li; Xiangyang Xue Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Abstract Visual Reasoning; Conditional Generative Model
1080	Boost-and-Skip: A Simple Guidance-Free Diffusion for Minority Generation Authors: Soobin Um; Beomsu Kim; Jong Chul Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; minority sample generation; image generation
1081	CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation Authors: Minghao Fu; Guo-Hua Wang; Liangfu Cao; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; Flow Matching Models; Human Preference Optimization; Classifier-Free Guidance; Text-to-Image Generation
1082	Categorical Schrödinger Bridge Matching Authors: Grigoriy Ksenofontov; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Schrödinger Bridge; Entropic Optimal Transport; Optimal transport; Unpaired Learning; Discrete space
1083	Compositional Condition Question Answering in Tabular Understanding Authors: Jun-Peng Jiang; Tao Zhou; De-Chuan Zhan; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Tabular Understanding; Tabular Question Answering
1084	Compressed Image Generation with Denoising Diffusion Codebook Models Authors: Guy Ohayon; Hila Manor; Tomer Michaeli; Michael Elad Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: image compression; diffusion models; score-based generative models; compressed real-world image restoration; compressed zero-shot image restoration; compressed…
1085	Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders Authors: Charles O'Neill; Alim Gumran; David Klindt Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: sparse autoencoders; large language models; dictionary learning
1086	Concept Reachability in Diffusion Models: Beyond Dataset Constraints Authors: Marta Aparicio Rodriguez; Xenia Miscouridou; Anastasia Borovykh Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; concept learning; steering vectors
1087	Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting Authors: J Rishi; GVS Mothish; Deepak Subramani Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion model; time series forecasting; generative modeling
1088	Continuous Semi-Implicit Models Authors: Longlin Yu; Jiajun Zha; Tong Yang; Tianyu Xie; Xiangyu Zhang; S.-H. Chan; Cheng Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Semi-Implicit Variational Inference; Score-Based Generative Models; Diffusion Models Distillation
1089	Continuous Visual Autoregressive Generation via Score Maximization Authors: Chenze Shao; Fandong Meng; Jie Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: visual autoregressive generation; strictly proper scoring rules; continuous
1090	Controlled Generation with Equivariant Variational Flow Matching Authors: Floor Eijkelboom; Heiko Zimmermann; Sharvaree Vadgama; Erik J Bekkers; Max Welling; Christian A. Naesseth; Jan-Willem van de Meent Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Variational Flow Matching; Conditional Generation; Equivariance; Molecular Generation
1091	D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples Authors: Zijing Hu; Fengda Zhang; Kun Kuang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; Alignment; Reinforcement Learning
1092	DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space Authors: Mang Ning; Mingxiao Li; Jianlin Su; Jia Haozhe; Lanmiao Liu; Martin Benes; Wenshuo Chen; Albert Ali Salah; Itir Onal Ertugrul Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; diffusion models; image frequency
1093	Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Authors: Rafal Karczewski; Markus Heinonen; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; likelihood; flow matching
1094	DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation Authors: Dongya Jia; Zhuo Chen; Jiawei Chen; Chenpeng Du; Jian Wu; Jian Cong; Xiaobin Zhuang; Chumin Li; Zhen Wei; Yuping Wang; Yuxuan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: continuous-valued language model; diffusion model; speech synthesis
1095	Differentiable Solver Search for Fast Diffusion Sampling Authors: Shuai Wang; Zexian Li; Qipeng zhang; Tianhui Song; Xubin Li; Tiezheng Ge; Bo Zheng; Limin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: solver; diffusion sampling
1096	Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces Authors: Kevin Rojas; Yuchen Zhu; Sichen Zhu; Felix X-F. Ye; Molei Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Discrete Diffusion; Multimodal; Generative Modeling
1097	Diffusion Adversarial Post-Training for One-Step Video Generation Authors: Shanchuan Lin; Xin Xia; Yuxi Ren; Ceyuan Yang; Xuefeng Xiao; Lu Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: video generation; image generation; diffusion; adversarial training; GAN; real-time; fast; distillation; generative model
1098	Diffusion Counterfactual Generation with Semantic Abduction Authors: Rajat R Rasal; Avinash Kori; Fabio De Sousa Ribeiro; Tian Xia; Ben Glocker Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: counterfactuals; causality; diffusion; image editing
1099	Diffusion Sampling Correction via Approximately 10 Parameters Authors: Guangyi Wang; Wei Peng; lijiang Li; Wenyu Chen; Yuren Cai; Song-Zhi Su Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; accelerated sampling; low-cost training; plug-and-play
1100	Direct Motion Models for Assessing Generated Videos Authors: Kelsey R Allen; Carl Doersch; Guangyao Zhou; Mohammed Suhail; Danny Driess; Ignacio Rocco; Yulia Rubanova; Thomas Kipf; Mehdi S. M. Sajjadi; Kevin Patrick Murphy; Joao Carreira; S… Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: metrics; videos; motion; point tracking
1101	Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions Authors: Le-Tuyet-Nhi PHAM; Dario Shariatian; Antonio Ocello; Giovanni Conforti; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; score-based generative models; discrete data; categorical data; convergence bound
1102	Distillation of Discrete Diffusion through Dimensional Correlations Authors: Satoshi Hayakawa; Yuhta Takida; Masaaki Imaizumi; Hiromi Wakaki; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion model; discrete diffusion; distillation; consistency model; dimensional correlation; convergence analysis
1103	Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion Authors: Kulin Shah; Alkis Kalavasis; Adam Klivans; Giannis Daras Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion; memorization; corrupted data; limited samples; generative models; ambient diffusion
1104	EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Authors: Theodoros Kouzelis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: autoencoders; latent generative models; regularization
1105	EasyInv: Toward Fast and Better DDIM Inversion Authors: Ziyue Zhang; Mingbao Lin; Shuicheng YAN; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Inversion; Diffusion
1106	EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM Authors: Zhuofan Zong; Dongzhi Jiang; Bingqi Ma; Guanglu Song; Hao Shao; Dazhong Shen; Yu Liu; Hongsheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: personalized image generation; diffusion model; multimodal large language models
1107	Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation Authors: Mingyu Kang; Yong Suk Choi Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; image editing; diffusion inversion
1108	Effective and Efficient Masked Image Generation Models Authors: Zebin You; Jingyang Ou; Xiaolu Zhang; Jun Hu; JUN ZHOU; Chongxuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: masked diffusion model; mask image modeling; generative model; effective
1109	Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation Authors: Tingyu Zhu; Haoyu Liu; Ziyu Wang; Zhimin Jiang; Zeyu Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Symbolic Music Generation; Guided Diffusion Models; Controllable Generation
1110	Efficient Generative Modeling with Residual Vector Quantization-Based Tokens Authors: Jaehyeon Kim; Taehong Moon; Keon Lee; Jaewoong Cho Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; discrete diffusion; residual vector quantization; transformer; text-to-speech
1111	Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow Authors: Zhonglin Cao; Mario Geiger; Allan Dos Santos Costa; Danny Reidenbach; Karsten Kreis; Tomas Geffner; Franco Pellegrini; Guoqing Zhou; Emine Kucukbenli Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Flow-matching; few-shot generation; equivariance; small molecules
1112	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space Authors: Fangyikang Wang; Hubery Yin; Shaobin Zhuang; Huminhao Zhu; Yinan Li; Lei Qian; Chao Zhang; Hanbin Zhao; Hui Qian; Chen Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; fisher information; optimal transport
1113	Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers Authors: Zhengchao Wan; Qingsong Wang; Gal Mishne; Yusu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Deep learning theory; Diffusion model; Flow matching; ODE dynamics; Generative model
1114	Ensemble Distribution Distillation via Flow Matching Authors: Jonggeon Park; Giung Nam; Hyunsu Kim; Jongmin Yoon; Juho Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Ensemble Distillation; Flow Matching
1115	Epsilon-VAE: Denoising as Visual Decoding Authors: Long Zhao; Sanghyun Woo; Ziyu Wan; YANDONG LI; Han Zhang; Boqing Gong; Hartwig Adam; Xuhui Jia; Ting Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; VAE; Image Tokenizer; Rectified Flow
1116	Ergodic Generative Flows Authors: Leo Maxime Brunswic; Mateo Clémente; Rui Heng Yang; Adam Sigal; Amir Rasouli; Yinchuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative Flows; ergodicity; non-acyclic; diffeomorphisms; GFlowNets; Spectral Gap; Special Linear group; free group action; nasa dataset; generative modeling…
1117	Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations Authors: Aditya Taparia; Som Sagar; Ransalu Senanayake Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Concept based Explainable AI; TCAV; Vision-Language Models; Reinforcement Learning
1118	Exponential Family Variational Flow Matching for Tabular Data Generation Authors: Andrés Guzmán-Cordero; Floor Eijkelboom; Jan-Willem van de Meent Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Variational Flow Matching; Exponential Families; Tabular Data
1119	Fast Video Generation with Sliding Tile Attention Authors: Peiyuan Zhang; Yongqi Chen; Runlong Su; Hangliang Ding; Ion Stoica; Zhengzhong Liu; Hao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion model; attention; machine learning system.
1120	Field Matching: an Electrostatic Paradigm to Generate and Transfer Data Authors: Alexander Kolesov; S. I. Manukhov; Vladimir Vladimirovich Palyulin; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; distribution transfer; electrostatics
1121	FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing Authors: Yingying Deng; Xiangyu He; Changwang Mei; Peisong Wang; Fan Tang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Rectified Flow; Image Editing
1122	FlexControl: Computation-Aware Conditional Control with Differentiable Router for Text-to-Image Generation Authors: Zheng Fang; Lichuan Xiang; Xu Cai; Kaicheng Zhou; Hongkai Wen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion model; controllable image generation; dynamic route; data-driven; efficient inference
1123	FlexTok: Resampling Images into 1D Token Sequences of Flexible Length Authors: Roman Bachmann; Jesse Allardice; David Mizrahi; Enrico Fini; Oğuzhan Fatih Kar; Elmira Amirloo; Alaaeldin El-Nouby; Amir Zamir; Afshin Dehghan Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: tokenization; variable rate compression; image generation; computer vision
1124	FlexiClip: Locality-Preserving Free-Form Character Animation Authors: Anant Khandelwal Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Text-to-Video generation
1125	FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching Authors: Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan Yuille; Liang-Chieh Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Image synthesis and generation
1126	FrameBridge: Improving Image-to-Video Generation with Bridge Models Authors: Yuji Wang; Zehua Chen; Chen Xiaoyu; Yixiang Wei; Jun Zhu; Jianfei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Image-to-Video Generation; Diffusion Models; Diffusion Bridge Models; Prior Distribution; Data-to-Data Generation
1127	Gaussian Mixture Flow Matching Models Authors: Hansheng Chen; Kai Zhang; Hao Tan; Zexiang Xu; Fujun Luan; Leonidas Guibas; Gordon Wetzstein; Sai Bi Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: GMFlow; diffusion models; flow matching; Gaussian mixture
1128	Generalized Interpolating Discrete Diffusion Authors: Dimitri von Rütte; Janis Fluri; Yuhui Ding; Antonio Orvieto; Bernhard Schölkopf; Thomas Hofmann Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; discrete diffusion; language models
1129	Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction Authors: Shu-wen Yang; Byeonggeun Kim; Kuan-Po Huang; Qingming Tang; HUY PHAN; Bo-Ru Lu; Harshavardhan Sundar; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: text-to-audio; audio language modeling; continuous token; diffusion model; next-token prediction
1130	Generative Data Mining with Longtail-Guided Diffusion Authors: David S Hayden; Mao Ye; Timur Garipov; Gregory P. Meyer; Carl Vondrick; Zhao Chen; Yuning Chai; Eric M Wolff; Siddhartha Srinivasa Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Synthetic Data; Longtail; Long Tail; Foundation Model; Diffusion; Guidance; VLM; CLIP; Embedding; Text; Robustness; Uncertainty; Epistemic; Aleatoric; Text; Au…
1131	Geometric Generative Modeling with Noise-Conditioned Graph Networks Authors: Peter Pao-Huang; Mitchell Black; Xiaojie Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: graph neural networks; generative models; diffusion models; flow-matching
1132	Geometry Informed Tokenization of Molecules for Language Model Generation Authors: Xiner Li; Limei Wang; Youzhi Luo; Carl Edwards; Shurui Gui; Yuchao Lin; Heng Ji; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Language models
1133	Graph Generative Pre-trained Transformer Authors: Xiaohui Chen; Yinkai Wang; Jiaxing He; Yuanqi Du; Soha Hassoun; Xiaolin Xu; Liping Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Graph generation; transformer; graph representation learning
1134	Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres Authors: Muskan Dosi; Chiranjeev Chiranjeev; Kartik Thakral; Mayank Vatsa; Richa Singh Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; vMF Distribution
1135	Hessian Geometry of Latent Space in Generative Models Authors: Alexander Lobashev; Dmitry Guskov; Maria Larchenko; Mikhail Tamm Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: fisher metric; hessian metric; diffusion models; generative models
1136	Highly Compressed Tokenizer Can Generate Without Training Authors: Lukas Lao Beyer; Tianhong Li; Xinlei Chen; Sertac Karaman; Kaiming He Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: image tokenizer; 1D tokenizer; autoencoder; generative model; text-to-image generation; image editing; training-free
1137	How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects Authors: Wonkwang Lee; Jongwon Jeong; Taehong Moon; Hyeon-Jong Kim; Jaehyeon Kim; Gunhee Kim; Byeong-Uk Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: motion synthesis for diverse objects; motion synthesis for large-vocabulary objects; text-to-motion synthesis; animal motion synthesis; non-human motion synthe…
1138	Hyper-Transforming Latent Diffusion Models Authors: Ignacio Peis; Batuhan Koyuncu; Isabel Valera; Jes Frellsen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Latent Diffusion Models; Transformers; INRs
1139	I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models Authors: Zhenxing Mi; Kuan-Chieh Wang; Guocheng Qian; Hanrong Ye; Runtao Liu; Sergey Tulyakov; Kfir Aberman; Dan Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion model; Multimodal in-context reasoning; Vision-language model; Vision-language training
1140	IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling Authors: Kuan-Po Huang; Shu-wen Yang; HUY PHAN; Bo-Ru Lu; Byeonggeun Kim; Sashank Macha; Qingming Tang; Shalini Ghosh; Hung-yi Lee; Chieh-Chi Kao; Chao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Text-to-audio; Diffusion models; Iterative parallel decoding; Mask-based generative modeling
1141	INRFlow: Flow Matching for INRs in Ambient Space Authors: Yuyang Wang; Anurag Ranjan; Joshua M. Susskind; Miguel Ángel Bautista Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Flow Matching; INRs
1142	Identifiable Object Representations under Spatial Ambiguities Authors: Avinash Kori; Francesca Toni; Ben Glocker Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Object-centric learning; identifiability; spatial ambiguities
1143	Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme Authors: Ruofeng Yang; Bo Jiang; Cheng Chen; Shuai Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Consistency Models; Discretization Complexity
1144	Improving Flow Matching by Aligning Flow Divergence Authors: Yuhao Huang; Taos Transue; Shih-Hsin Wang; William M Feldman; Hong Zhang; Bao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Flow Matching; Divergence Matching; Total Variation Bound; Generative Modeling
1145	Improving the Diffusability of Autoencoders Authors: Ivan Skorokhodov; Sharath Girish; Benran Hu; Willi Menapace; Yanyu Li; Rameen Abdal; Sergey Tulyakov; Aliaksandr Siarohin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: autoencoders; latent diffusion; image generation; video generation; DCT; diffusability; fourier transform
1146	Inference-Time Alignment of Diffusion Models with Direct Noise Optimization Authors: Zhiwei Tang; Jiangweizhi Peng; Jiasheng Tang; Mingyi Hong; Fan Wang; Tsung-Hui Chang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; Inference-Time Alignment; Optimization; RLHF
1147	Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion Authors: Xiyue Zhu; Dou Hoon Kwark; Ruike Zhu; Kaiwen Hong; Yiqi Tao; Shirui Luo; Yudu Li; Zhi-Pei Liang; Volodymyr Kindratenko Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; 3D medical image generation; video generation
1148	Inverse Bridge Matching Distillation Authors: Nikita Gushchin; David Li; Daniil Selikhanovych; Evgeny Burnaev; Dmitry Baranchuk; Alexander Korotin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Bridges; Bridge Matching; Diffusion Bridges Distillation; Image Translation; Inverse Bridge Matching
1149	Inverse Flow and Consistency Models Authors: Yuchen Zhang; Jian Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: consistency models; flow matching; diffusion models; inverse problem
1150	Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo Authors: Idan Achituve; Hai Victor Habi; Amir Rosenfeld; Arnon Netzer; Idit Diamant; Ethan Fetaya Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Inverse problems; sequential Monte Carlo; Latent diffusion
1151	Is Noise Conditioning Necessary for Denoising Generative Models? Authors: Qiao Sun; Zhicheng Jiang; Hanhong Zhao; Kaiming He Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: noise conditioning; generative models; diffusion; score-based generative models; flow matching
1152	Kinetic Langevin Diffusion for Crystalline Materials Generation Authors: François R J Cornet; Federico Bergamin; Arghya Bhowmik; Juan Maria Garcia-Lastra; Jes Frellsen; Mikkel N. Schmidt Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; diffusion models; crystals; materials
1153	LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations Authors: Shreshth Saini; Ru-Ling Liao; Yan Ye; Alan Bovik Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Perceptual Quality; Latent Diffusion Models; Training-free; Gen-AI; IQA
1154	Latent Thought Models with Variational Bayes Inference-Time Computation Authors: Deqian Kong; Minglu Zhao; Dehong Xu; Bo Pang; Shu Wang; Edouardo Honig; Zhangzhang Si; Chuan Li; Jianwen Xie; Sirui Xie; Ying Nian Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Latent thought models; Inference-time computation; Language models; Variational Bayes; Latent variable model
1155	Learning Extrapolative Sequence Transformations from Markov Chains Authors: Sophia Hager; Aleem Khan; Andrew Wang; Nicholas Andrews Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Large language model; Markov chain Monte Carlo
1156	Learning Monotonic Probabilities with a Generative Cost Model Authors: Yongxiang Tang; Yanhua cheng; Xiaocheng Liu; Jiaochenchen; Yanxiang Zeng; Ning Luo; Pengjia Yuan; Xialong Liu; Peng Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: monotonic model; generative model
1157	Learning Robust Neural Processes with Risk-Averse Stochastic Optimization Authors: Huafeng Liu; Yiran Fu; Liping Jing; Hui Li; Shuyang Lin; Jingyue Shi; Deqiang Ouyang; Jian Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: neural process; robust learning
1158	Learning to Quantize for Training Vector-Quantized Networks Authors: Peijia Qin; Jianguo Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Vector Quantization; Meta-Learning; Generative Models
1159	Learnings from Scaling Visual Tokenizers for Reconstruction and Generation Authors: Philippe Hansen-Estruch; David Yan; Ching-Yao Chuang; Orr Zohar; Jialiang Wang; Tingbo Hou; Tao Xu; Sriram Vishwanath; Peter Vajda; Xinlei Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Auto-Encoder; Visual Compression; Latent Diffusion Models; Vision Transformer
1160	MDDM: Practical Message-Driven Generative Image Steganography Based on Diffusion Models Authors: ZiHao Xu; Dawei xu; Zihan Li; Chuan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative image steganography; Diffusion Models
1161	MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES Authors: Omer Ronen; Ahmed Imtiaz Humayun; Richard Baraniuk; Randall Balestriero; Bin Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: VAE; Drug-Design
1162	Masked Generative Nested Transformers with Decode Time Scaling Authors: Sahil Goyal; Debapriya Tula; Gagan Jain; Pradeep Shenoy; Prateek Jain; Sujoy Paul Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generation; efficiency; nested models; kv caching; model scaling
1163	Mechanisms of Projective Composition of Diffusion Models Authors: Arwen Bradley; Preetum Nakkiran; David Berthelot; James Thornton; Joshua M. Susskind Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; composition; theory
1164	MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance Authors: Yuang Zhang; Jiaxi Gu; Li-Wen Wang; Han Wang; JunqiCheng; Yuefeng Zhu; FangYuan Zou Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Human Motion Video Generation
1165	MissScore: High-Order Score Estimation in the Presence of Missing Data Authors: Wenqin Liu; Haoze Hou; Erdun Gao; Biwei Huang; Qiuhong Ke; Howard Bondell; Mingming Gong Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative models; Score matching; Tabular data
1166	Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization Authors: Weizhi Gao; Zhichao Hou; Junqi Yin; Feiyi Wang; Linyu Peng; Xiaorui Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; Efficiency; Quantization; Caching Method
1167	Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models Authors: Chao Li; Jiawei Fan; Anbang Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; image generation; text-to-image generation; model acceleration
1168	Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion Authors: Dohoon Lee; Jaehyun Park; Hyunwoo J. Kim; Kyogu Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Multidimensional Adaptive Coefficient; Inference Trajectory Optimization; Flow; Diffusion; Adversarial Optimization
1169	MuseControlLite: Multifunctional Music Generation with Lightweight Conditioners Authors: Fang-Duo Tsai; Shih-Lun Wu; Weijaw Lee; Sheng-Ping Yang; Bo-Rui Chen; Hao-Chung Cheng; Yi-Hsuan Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Sound; Artificial Intelligence; Machine Learning; Audio and Speech Processing
1170	Noise Conditional Variational Score Distillation Authors: Xinyu Peng; Ziyang Zheng; Yaoming Wang; Han Li; Nuowen Kan; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: generative models; diffusion distillation; inverse problems
1171	OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation Authors: Yaoxuan Feng; Wenchao Chen; Yuxin Li; Bo Chen; Yubiao Wang; Zixuan Zhao; Hongwei Liu; Mingyuan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Anomaly Detection; Diffusion Model; Diffusion Distillation
1172	Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan Authors: Jaemoo Choi; Jaewoong Choi; Dohyun Kwon Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Optimal Transport; Spurious solution; Semi-dual formulation; Image-to-Image translation
1173	Privacy Attacks on Image AutoRegressive Models Authors: Antoni Kowalczuk; Jan Dubiński; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: image autoregressive models; diffusion models; dataset inference; membership inference; data extraction
1174	Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers Authors: Weilun Feng; Chuanguang Yang; Haotong Qin; Xiangqi Li; Yu Wang; Zhulin An; Libo Huang; Boyu Diao; Zixiang Zhao; Yongjun Xu; Michele Magno Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Model Quantization; Video Generation
1175	REG: Rectified Gradient Guidance for Conditional Diffusion Models Authors: Zhengqi Gao; Kaiwen Zha; Tianyuan Zhang; Zihui Xue; Duane S Boning Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; classifier-free guidance; conditional generation
1176	RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers Authors: Min Zhao; Guande He; Yixiao Chen; Hongzhou Zhu; Chongxuan Li; Jun Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: video diffusion transformers; video diffusion model; length extrapolation
1177	RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior Authors: Ching-Hua Lee; Chouchang Yang; Jaejin Cho; Yashas Malur Saidutta; Rakshith Sharma Srinivasa; Yilin Shen; Hongxia Jin Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Denoising diffusion probabilistic model; prior distribution; posterior; speech enhancement; image restoration
1178	Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation Authors: Bowen Zheng; Tianming Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; One-Step Generators; Generative Models; Image Generation; GAN
1179	Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Authors: Masatoshi Uehara; Xingyu Su; Yulai Zhao; Xiner Li; Aviv Regev; Shuiwang Ji; Sergey Levine; Tommaso Biancalani Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models
1180	Robust Multi-bit Text Watermark with LLM-based Paraphrasers Authors: Xiaojun Xu; Jinghan Jia; Yuanshun Yao; Yang Liu; Hang Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Text Watermark; LLM
1181	RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression Authors: Payman Behnam; Yaosheng Fu; Ritchie Zhao; Po-An Tsai; Zhiding Yu; Alexey Tumanov Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: LLM inference; KV cache compression; Efficiency
1182	S4S: Solving for a Fast Diffusion Model Solver Authors: Eric Frankel; Sitan Chen; Jerry Li; Pang Wei Koh; Lillian J. Ratliff; Sewoong Oh Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; efficient sampling; ODE solvers
1183	SADA: Stability-guided Adaptive Diffusion Acceleration Authors: Ting Jiang; Yixiao Wang; Hancheng Ye; Zishan Shao; Jingwei Sun; Jingyang Zhang; Zekai Chen; Jianyi Zhang; Yiran Chen; Hai Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Efficient Algorithm; Training-Free Acceleration
1184	SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer Authors: Enze Xie; Junsong Chen; Yuyang Zhao; Jincheng YU; Ligeng Zhu; Yujun Lin; Zhekai Zhang; Muyang Li; Junyu Chen; Han Cai; Bingchen Liu; Daquan Zhou; Song Han Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Inference Scaling; Linear Attention
1185	Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment Authors: Yuhui Ding; Thomas Hofmann Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Non-equivariant diffusion; 3D molecule generation
1186	Scaling Laws for Pre-training Agents and World Models Authors: Tim Pearce; Tabish Rashid; David Bignell; Raluca Georgescu; Sam Devlin; Katja Hofmann Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: world modeling; imitation learning; scaling laws
1187	Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows Authors: Willem Diepeveen; Georgios Batzolis; Zakhar Shumaylov; Carola-Bibiane Schönlieb Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: data manifold geometry; score-based pullback Riemannian metric; anisotropic normalizing flows; closed-form geodesics; intrinsic dimension estimation; Riemannia…
1188	Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency Authors: Michael Kirchhof; James Thornton; Louis Béthune; Pierre Ablin; Eugene Ndiaye; marco cuturi Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Model; Guidance; Repellency; Diversity
1189	Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation Authors: Yoann Boget Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Graph; molecules; generation; discrete; diffusion; denoising; flow; matching; generative; compouding; errors; iterative; critic; critical
1190	Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Authors: Jinhao Liang; Jacob K Christopher; Sven Koenig; Ferdinando Fioretto Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Multi-Agent Path Planning; Diffusion Models
1191	SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation Authors: Sathvik Reddy Chereddy; John Femiani Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion; Discrete Diffusion; CAD; CAD Sketch; Generative; AI; ML; Gaussian-Softmax
1192	Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation Authors: Hoigi Seo; Wongi Jeong; Jae-sun Seo; Se Young Chun Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative model; Efficiency; Pruning
1193	Smooth Interpolation for Improved Discrete Graph Generative Models Authors: Yuxuan Song; Juntong Shi; Jingjing Gong; Minkai Xu; Stefano Ermon; Hao Zhou; Wei-Ying Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Graph Generation; Deep Generative Models; Bayesian Flow Networks
1194	SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Authors: Zihan Liu; Shuangrui Ding; Zhixiong Zhang; Xiaoyi Dong; Pan Zhang; Yuhang Zang; Yuhang Cao; Dahua Lin; Jiaqi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: text-to-song; song generation; auto-regressive transformer
1195	Sparse Autoencoders, Again? Authors: Yin Lu; Xuening Zhu; Tong He; David Wipf Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: autoencoders; sparse representations; variational autoencoders; low-dimensional manifolds
1196	Spatial Reasoning with Denoising Models Authors: Christopher Wewer; Bartlomiej Pogodzinski; Bernt Schiele; Jan Eric Lenssen Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative Models; Reasoning; Image Generation
1197	Spherical-Nested Diffusion Model for Panoramic Image Outpainting Authors: Xiancheng Sun; Senmao Ma; Shengxi Li; Mai Xu; Jingyuan Xia; Lai Jiang; Xin Deng; Jiali Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Panoramic image outpainting; spherical convolution; ERP format
1198	Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets Authors: Haoye Lu; Qifan Wu; Yaoliang Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion models; deconvolution; ambient diffusion
1199	Symmetry-Aware GFlowNets Authors: Hohyun Kim; Seunggeun Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: GFlowNet; graph generation; molecule optimization
1200	TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data Authors: Hengrui Zhang; Liancheng Fang; Qitian Wu; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Tabular data generation; missing value imputation; autoregressive models
1201	TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data Authors: Elias Chaibub Neto Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Tabular synthetic data; non-parametric; model-free; lightweight
1202	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion Authors: Ruixiang ZHANG; Shuangfei Zhai; Yizhe Zhang; James Thornton; Zijing Ou; Joshua M. Susskind; Navdeep Jaitly Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: discrete diffusion; concrete score; discrete flow matching
1203	The Diffusion Duality Authors: Subham Sekhar Sahoo; Justin Deschenaux; Aaron Gokaslan; Guanghan Wang; Justin T Chiu; Volodymyr Kuleshov Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: diffusion language models; diffusion models; large language models; distillation
1204	TimeStep Master: Asymmetrical Mixture of Timestep LoRA Experts for Versatile and Efficient Diffusion Models in Vision Authors: Shaobin Zhuang; Yiwei Guo; Yanbo Ding; Kunchang Li; Xinyuan Chen; Yaohui Wang; Fangyikang Wang; Ying Zhang; Chen Li; Yali Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion; Generation; LoRA; Timestep
1205	ToMA: Token Merge with Attention for Diffusion Models Authors: Wenbo Lu; Shaoyi Zheng; Yuxuan Xia; Shengjie Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion; Token Merge; Attention; Submodular Optimization
1206	Towards a Unified Framework of Clustering-based Anomaly Detection Authors: Zeyu Fang; Ming Gu; Sheng Zhou; Jiawei Chen; Qiaoyu Tan; Haishuai Wang; Jiajun Bu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Anomaly Detection; Clustering
1207	Tractable Transformers for Flexible Conditional Generation Authors: Anji Liu; Xuejie Liu; Dayuan Zhao; Mathias Niepert; Yitao Liang; Guy Van den Broeck Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Generative Models; Conditional Generation
1208	Training Diffusion-based Generative Models with Limited Data Authors: Zhaoyu Zhang; Yang Hua; Guanxiong Sun; Hui Wang; Seán McLoone Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion models; Limited Data; LD-Diffusion
1209	Ultra-Resolution Adaptation with Ease Authors: Ruonan Yu; Songhua Liu; Zhenxiong Tan; Xinchao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Ultra-Resolution Generation; Efficient Tuning; Synthetic Data; Diffusion Models
1210	Understanding and Mitigating Memorization in Diffusion Models for Tabular Data Authors: Zhengyu Fang; Zhimeng Jiang; Huiyuan Chen; Xiao Li; Jing Li Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Memorization; Tabular Data; Diffusion Models
1211	Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities Authors: Ruchika Chavhan; Abhinav Mehrotra; Malcolm Chadwick; Alberto Gil Couto Pimentel Ramos; Luca Morreale; Mehdi Noroozi; Sourav Bhattacharya Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: multi-task learning; upcycling; diffusion models
1212	VCT: Training Consistency Models with Variational Noise Coupling Authors: Gianluigi Silvestri; Luca Ambrogioni; Chieh-Hsin Lai; Yuhta Takida; Yuki Mitsufuji Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Consistency Models; Generative Models
1213	Variational Control for Guidance in Diffusion Models Authors: Kushagra Pandey; Farrin Marouf Sofian; Felix Draxler; Theofanis Karaletsos; Stephan Mandt Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Diffusion Models; Inverse Problems
1214	Variational Rectified Flow Matching Authors: Pengsheng Guo; Alex Schwing Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Flow Matching; Diffusion Model; Generative Model
1215	Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision Authors: Marco Cipriano; Moritz Feuerpfeil; Gerard de Melo Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Image Generation; Scalable Vector Graphics; VQ-VAE; Differentiable Rasterizer
1216	Visual Generation Without Guidance Authors: Huayu Chen; Kai Jiang; Kaiwen Zheng; Jianfei Chen; Hang Su; Jun Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Visual Generative Modeling; Guidance; Guided Sampling; CFG; Efficiency; Distillation
1217	WMAdapter: Adding WaterMark Control to Latent Diffusion Models Authors: Hai Ci; Yiren Song; Pei Yang; Jinheng Xie; Mike Zheng Shou Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: watermark; latent diffusion model
1218	Wasserstein Flow Matching: Generative Modeling Over Families of Distributions Authors: Doron Haviv; Aram-Alexandre Pooladian; Dana Pe'er; Brandon Amos Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Optimal Transport; Flow Matching; Generative Modeling; Single Cell
1219	ZipAR: Parallel Autoregressive Image Generation through Spatial Locality Authors: Yefei He; Feng Chen; Yuanyu He; Shaoxuan He; Hong Zhou; Kaipeng Zhang; Bohan Zhuang Affiliation: 官方页面未列出 Official area / track: deep_learning->generative_models_and_autoencoders Recognition: Poster/Regular Keywords: Auto-regressive (AR) visual generation; Parallel decoding; Efficient AI
1220	A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks Authors: Varshita Kolipaka; Akshit Sinha; Debangan Mishra; Sumit Kumar; Arvindh Arun; Shashwat Goel; Ponnurangam Kumaraguru Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Machine Unlearning; Graphs; Graph Neural Networks; GNN; Attacks; Manipulations; Removal
1221	A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks Authors: Biswadeep Chakraborty; Harshit Kumar; Saibal Mukhopadhyay Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; oversmoothing; dynamical systems; attention mechanisms; pruning optimization; graph attention networks; spectral analysis; anti-hebbian…
1222	A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition Authors: Nian Liu; Xiaoxin He; Thomas Laurent; Francesco Di Giovanni; Michael M. Bronstein; Xavier Bresson Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph wavelet neural network; graph signal processing
1223	A Manifold Perspective on the Statistical Generalization of Graph Neural Networks Authors: Zhiyang Wang; Juan Cervino; Alejandro Ribeiro Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; generalization
1224	Adapting Precomputed Features for Efficient Graph Condensation Authors: Yuan Li; Jun Hu; Zemin Liu; Bryan Hooi; Jia Chen; Bingsheng He Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; data condensation
1225	Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Authors: Federico Errica; Henrik Christiansen; Viktor Zaverkin; Takashi Maruyama; Mathias Niepert; Francesco Alesiani Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Machine Learning; Variational Inference; Oversmoothing; Oversquashing; Underreaching; Depth Learning
1226	Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Authors: Dooho Lee; Myeong Kong; Sagad Hamid; Cheonwoo Lee; Jaemin Yoo Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph neural networks; DropEdge; data augmentation; edge robustness; node classification; degree bias; structural disparity
1227	Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction Authors: Yadong Sun; Xiaofeng Cao; Ivor Tsang; Heng Tao Shen Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Dynamic systems; Graph neural networks; Hyperbolic representation learning
1228	Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality Authors: Joshua Southern; Yam Eitan; Guy Bar-Shalom; Michael M. Bronstein; Haggai Maron; Fabrizio Frasca Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Subgraphs; Expressivity; Graph Centrality
1229	Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Authors: Ali Behrouz; Ali Parviz; Mahdi Karami; Clayton Sanford; Bryan Perozzi; Vahab Mirrokni Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Learning; Sequence Models; Graph Transformers; Hierarchical Clustering
1230	Beyond Message Passing: Neural Graph Pattern Machine Authors: Zehong Wang; Zheyuan Zhang; Tianyi Ma; Nitesh V Chawla; Chuxu Zhang; Yanfang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Learning; Supervised Learning; Substructures; Graph Pattern
1231	Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective Authors: Steve Azzolin; SAGAR MALHOTRA; Andrea Passerini; Stefano Teso Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: GNNs; Interpretability; Self-Explainable models; Formal Explainability; Self-Explainable GNNs
1232	Boosting Protein Graph Representations through Static-Dynamic Fusion Authors: Pengkang Guo; Bruno Correia; Pierre Vandergheynst; Daniel Probst Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Protein Modeling; Molecular Dynamics; Heterogeneous Graph
1233	CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition Authors: Zebin Wang; Menghan Lin; Bolin Shen; Ken Anderson; Molei Liu; Tianxi Cai; Yushun Dong Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: GNN Model Extraction; Cost Efficiency; Budget Limitation
1234	COMRECGC: Global Graph Counterfactual Explainer through Common Recourse Authors: Gregoire Fournier; Sourav Medya Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph-based Machine Learning; Transparent; Interpretable; Explainable ML
1235	CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs Authors: Zhiqiang Wang; Xiaoyi Wang; Jianqing Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Network; Dynamic Graph; Graph Neural ODE; VAE
1236	Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Authors: Yuankai Luo; Lei Shi; Xiao-Ming Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Graph-level Tasks; Graph Transformers
1237	Commute Graph Neural Networks Authors: Wei Zhuo; Han Yu; Guang Tan; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Commute Time; Message Passing; Node Classification
1238	Cooperation of Experts: Fusing Heterogeneous Information with Large Margin Authors: Shuo Wang; Shunyang Huang; Jinghui Yuan; Zhixiang Shen; zhao kang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Heterogeneous Information; Multiplex Network; Expert Mechanism
1239	CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Authors: Karish Grover; Geoffrey J. Gordon; Christos Faloutsos Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph anomaly detection; Riemannian geometry; Mixed-curvature GNN; Spectral graph theory; Ollivier-Ricci curvature; Ricci flow
1240	Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph Authors: Zhiqiang Wang; Jianghao Wen; Jianqing Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Dynamic Graph; Spiking Neural Network; Graph Representation Learning
1241	Directed Graph Grammars for Sequence-based Learning Authors: Michael Sun; Orion Foo; Gang Liu; Wojciech Matusik; Jie Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph generative model; graph mining; grammar; neurosymbolic; directed acyclic graphs; DAG
1242	Discrete Neural Algorithmic Reasoning Authors: Gleb Rodionov; Liudmila Prokhorenkova Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: neural algorithmic reasoning; graph neural networks
1243	Disentangled Graph Spectral Domain Adaptation Authors: Liang Yang; Xin Chen; Jiaming Zhuo; Di Jin; Chuan Wang; Xiaochun Cao; Zhen Wang; Yuanfang Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; unsupervised domain adaptation; disentangled learning; spectral domain
1244	Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis Authors: Qunzhong Wang; Xiangguo Sun; Hong Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph prompting; graph neural networks
1245	EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification Authors: Zitong Shi; Guancheng Wan; Wenke Huang; Guibin Zhang; He Li; Carl Yang; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning; Sparsification
1246	ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks Authors: Zhehan Zhao; Lu Bai; Lixin Cui; Ming Li; Ziyu Lyu; Lixiang Xu; Yue Wang; Edwin Hancock Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Pooling
1247	EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction Authors: Ming Li; Yukang Cheng; Lu Bai; Feilong Cao; Ke Lv; Jiye Liang; Pietro Lio Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Signed Hypergraph Neural Network; Hypergraph Learning; Graph Neural Networks; Large Language Models
1248	Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation Authors: Rihong Qiu; Xinke Jiang; Yuchen Fang; Hongbin Lai; Hao Miao; Xu Chu; Junfeng Zhao; Yasha Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Tangent Kernel; Graph Neural Networks; Graph Continual Learning
1249	Enhancing Graph Invariant Learning from a Negative Inference Perspective Authors: Kuo Yang; Zhengyang Zhou; Qihe Huang; Wenjie Du; Limin Li; Wu Jiang; Yang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph learning; out-of-distribution generalization; environment awareness; negative inference; prompt learning.
1250	Enhancing Spectral GNNs: From Topology and Perturbation Perspectives Authors: Taoyang Qin; Ke-Jia CHEN; Zheng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: spectral GNNs; perturbation theory; expressiveness; sheaf Laplacian
1251	Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks Authors: Jincheng Huang; Yujie Mo; Xiaoshuang Shi; Lei Feng; Xiaofeng Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; semi-supervised learning; graph learning
1252	EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions Authors: Huayu Deng; Xiangming Zhu; Yunbo Wang; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Physical Simulation; Message Passing Networks
1253	Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs Authors: Ziang Chen; Xiaohan Chen; Jialin Liu; Xinshang Wang; Wotao Yin Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Quadratic Programming; Learning to Optimize
1254	FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks Authors: Zhaoxuan Kan; Husheng Han; shangyi shi; Tenghui Hua; Hang Lu; Xiaowei Li; Jianan Mu; Xing Hu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: 官方列表未公开
1255	From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers Authors: Yoon Hyeok Lee; Jaemin Park; Taejin Paik; Doyun Kim; Bosun Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Transformers; Graph Neural Networks; Structural Encodings; Green Kernel; Martin Kernel; Non-aperiodic substructures; DAGs
1256	GCAL: Adapting Graph Models to Evolving Domain Shifts Authors: Ziyue Qiao; Qianyi Cai; Hao Dong; Jiawei Gu; Pengyang Wang; Meng Xiao; Xiao Luo; Hui Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Continual Learning; Domain adaptation; Graph neural network
1257	GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning Authors: Nannan Wu; Yuming Huang; Yiming Zhao; Jie Chen; Wenjun Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Subgraph Representation Learning
1258	Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation Authors: Yassine ABBAHADDOU; Fragkiskos D. Malliaros; Johannes F. Lutzeyer; Amine M. Aboussalah; Michalis Vazirgiannis Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Generalization; Data Augmentation; Graph Classification; Rademacher complexity
1259	Graph World Model Authors: Tao Feng; Yexin Wu; Guanyu Lin; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph world model; Unstructured data; Multi-modal information; Zero-shot/few-shot capabilities
1260	Graph4MM: Weaving Multimodal Learning with Structural Information Authors: Xuying Ning; Dongqi Fu; Tianxin Wei; Wujiang Xu; Jingrui He Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Multi-modal Learning; Large Language Models; Graph Neural Networks
1261	GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Authors: GuoguoAi; Guansong Pang; Hezhe Qiao; YuanGao; Hui Yan Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Transformers; Kolmogorov-Arnold Networks; Fourier Series; Spectral Graph Neural Networks
1262	HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport Authors: Yanbei Liu; Chongxu Wang; Zhitao Xiao; Lei Geng; Yanwei Pang; Xiao Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Heterogeneous graph; Self-supervised learning; Optimal transport
1263	Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Authors: Rui Xue; Tong Zhao; Neil Shah; Xiaorui Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Large Scale Machine Learning; Historical Embeddings
1264	Hierarchical Graph Tokenization for Molecule-Language Alignment Authors: Yongqiang Chen; Quanming Yao; Juzheng Zhang; James Cheng; Yatao Bian Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: molecular-language alignment; large language models; hierarchical graph neural networks; tokenization; biomolecular studies; molecule
1265	How Expressive are Knowledge Graph Foundation Models? Authors: Xingyue Huang; Pablo Barcelo; Michael M. Bronstein; Ismail Ilkan Ceylan; Mikhail Galkin; Juan L Reutter; Miguel Romero Orth Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Link Prediction; Expressivity Study; Graph Foundation Models
1266	How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees 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->graph_neural_networks Recognition: Poster/Regular Keywords: graph foundation models; graph multi-domain pre-training; graph prompt learning; cross-domain generalization
1267	HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks Authors: Tingyi Cai; Yunliang Jiang; Ming Li; Lu Bai; Changqin Huang; Yi Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: hypergraph neural network; homophily; attack
1268	Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Authors: Juwei Yue; Haikuo Li; Jiawei Sheng; Xiaodong Li; Taoyu Su; Tingwen Liu; Li Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Hyperbolic Partial Differential Equations
1269	Implicit Subgraph Neural Network Authors: Yongjian Zhong; Liao Zhu; Hieu Vu; Bijaya Adhikari Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Subgraph Classification; Implicit Models
1270	Implicit degree bias in the link prediction task Authors: Rachith Aiyappa; Xin Wang; Munjung Kim; Ozgur Can Seckin; Yong-Yeol Ahn; Sadamori Kojaku Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: link prediction; benchmark; bias; degree heterogeneity
1271	Improving the Effective Receptive Field of Message-Passing Neural Networks Authors: Shahaf E. Finder; Ron Shapira Weber; Moshe Eliasof; Oren Freifeld; Eran Treister Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Effective Receptive Field; Multiscale Architectures; Message-Passing
1272	LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Authors: Hang Gao; Huang Wenxuan; Fengge Wu; Zhao Junsuo; Changwen Zheng; Huaping Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Large language models; Graph Neural Netwroks; Causal
1273	Large Language-Geometry Model: When LLM meets Equivariance Authors: Zongzhao Li; Jiacheng Cen; Bing Su; Tingyang Xu; Yu Rong; Deli Zhao; Wenbing Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Equivariance; Graph Neural Networks; Large Language Models
1274	Learn Beneficial Noise as Graph Augmentation Authors: Siqi Huang; Yanchen Xu; Hongyuan Zhang; Xuelong Li Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Beneficial Noise; Graph Augmentation
1275	Learnable Spatial-Temporal Positional Encoding for Link Prediction Authors: Katherine Tieu; Dongqi Fu; Zihao Li; Ross Maciejewski; Jingrui He Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Positional Encoding; Link Prediction; Transformer
1276	Learning Latent Graph Structures and their Uncertainty Authors: Alessandro Manenti; Daniele Zambon; Cesare Alippi Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Structure Learning; Graph Neural Networks
1277	Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective Authors: Lele Fu; Bowen Deng; Sheng Huang; Tianchi Liao; Shirui Pan; Chuan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Federated learning; Graph neural networks; Topology heterogeneity
1278	Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Authors: Langzhang Liang; Fanchen Bu; Zixing Song; Zenglin Xu; Shirui Pan; Kijung Shin Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Ntworks; Over-squashing; Graph sparsification
1279	Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Authors: Shuo Wang; Bokui Wang; Zhixiang Shen; Boyan Deng; zhao kang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Foundation Model; Multi-domain Pre-training；Graph Transfer learning; Graph Domain Generalization
1280	N2GON: Neural Networks for Graph-of-Net with Position Awareness Authors: Yejiang Wang; Yuhai Zhao; Zhengkui Wang; Wen Shan; Ling Li; Qian Li; Miaomiao Huang; Meixia Wang; Shirui Pan; Xingwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph-of-Net; Neural Network; Representation Learning; Supervised Learning
1281	No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Authors: Corinna Coupette; Jeremy Wayland; Emily Simons; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: data-centric graph learning; network data; dataset evaluation
1282	On Measuring Long-Range Interactions in Graph Neural Networks Authors: Jacob Bamberger; Benjamin Gutteridge; Scott le Roux; Michael M. Bronstein; Xiaowen Dong Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: long-range; GNNs
1283	Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction Authors: Yanbin Wei; Xuehao Wang; Zhan Zhuang; Yang Chen; Shuhao Chen; Yulong Zhang; James Kwok; Yu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Multimodal Learning; Link Prediction; Graph Neural Networks
1284	Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models Authors: Zheng Gong; Ying Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Post-Training Quantization; Discrete Graph Diffusion Models
1285	PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Authors: Daniel Zilberg; Ron Levie Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph representation learning; graph autoencoder; regularity lemma
1286	Positional Encoding meets Persistent Homology on Graphs Authors: Yogesh Verma; Amauri H Souza; Vikas K Garg Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Topological Neural Networks; Persistent Homology; Positional Encodings; GNNs
1287	Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features Authors: Daeho Um; Sunoh Kim; Jiwoong Park; Jongin Lim; Seong Jin Ahn; Seulki Park Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; graphs; missing features
1288	Pruning for GNNs: Lower Complexity with Comparable Expressiveness Authors: Dun Ma; Jianguo Chen; Wenguo Yang; Suixiang Gao; Shengminjie Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Network; Pruning; Expressiveness; Complexity
1289	Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs Authors: Wenxin Tai; Ting Zhong; Goce Trajcevski; Fan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Self-interpretble GNNs; Trustworthy; Consistency
1290	RelGNN: Composite Message Passing for Relational Deep Learning Authors: Tianlang Chen; Charilaos Kanatsoulis; Jure Leskovec Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Relational Deep Learning
1291	ResearchTown: Simulator of Human Research Community Authors: Haofei Yu; Zhaochen Hong; Zirui Cheng; Kunlun Zhu; Keyang Xuan; Jinwei Yao; Tao Feng; Jiaxuan You Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Multi-agent; Graph Neural Network; Large Language Model; Automatic Research
1292	SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval Authors: Nikolaos Chaidos; Angeliki Dimitriou; Maria Lymperaiou; Giorgos Stamou Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Scene Graph Retrieval; Unsupervised Graph Autoencoders; Visual Semantic Similarity
1293	SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models Authors: Saman Forouzandeh; Parham Moradi; Mahdi Jalili Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Hypergraph Learning; Knowledge Distillation; Contrastive Learning; Recommendation Systems
1294	SPHINX: Structural Prediction using Hypergraph Inference Network Authors: Iulia Duta; Pietro Lio Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: hypergraph prediction; hypergraph representation learning
1295	Simple Path Structural Encoding for Graph Transformers Authors: Louis Airale; Antonio Longa; Mattia Rigon; Andrea Passerini; Roberto Passerone Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph transformer; structural encoding; simple paths
1296	Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion Authors: Minsung Hwang; Jaejun Lee; Joyce Jiyoung Whang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Subgraph Reasoning; Inductive Knowledge Graph Completion; Stability; Generalization Capability; Link Prediction
1297	Stable Fair Graph Representation Learning with Lipschitz Constraint Authors: Qiang Chen; Zhongze Wu; Xiu Su; Xi Lin; Zhe Qu; Shan You; Shuo Yang; Chang Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural network; fairness; stability
1298	Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs Authors: Jaejun Lee; Joyce Jiyoung Whang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Hyper-Relational Knowledge Graph; Knowledge Graph Representation Learning; Knowledge Graph Completion; Graph Neural Networks; Inductive Link Prediction
1299	TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction Authors: Hao Li; Hao Wan; Yuzhou Chen; Dongsheng Ye; Yulia Gel; Hao Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Dynamic graphs; Topological Data Analysis; Graph Neural Networks; Meta learning
1300	Test-Time Graph Neural Dataset Search With Generative Projection Authors: Xin Zheng; Wei Huang; Chuan Zhou; Ming Li; Shirui Pan Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Test-Time Adaption (TTA); Graph Neural Networks (GNNs); Distribution Shift; Generative Models
1301	The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products Authors: YuQing Xie; Ameya Daigavane; Mit Kotak; Tess Smidt Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: equivariance; tensor product; spherical harmonics; gaunt; benchmarking; asymptotics; expressivity; systems
1302	Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Authors: Sungwon Kim; Namkyeong Lee; Yunyoung Doh; Seungmin Shin; Guimok Cho; Seung-Won Jeon; Sangkook Kim; Chanyoung Park Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Mesh Neural Networks; 3D analysis
1303	TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration Authors: Cheng Xin; Fan Xu; Xin Ding; Jie Gao; Jiaxin Ding Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: XAI; XGNN; Graph Representation; Graph Neural Networks; Topological Data Analysis; TDA; Persistent Homology; Interpretable GNN; Explainable GNN; Topological Di…
1304	TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks Authors: Mathilde Papillon; Guillermo Bernardez; Claudio Battiloro; Nina Miolane Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Topological Deep Learning; Graph Neural Network; Graph Expansion; Combinatorial Complex; Cellular Complex
1305	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph Authors: Weihuang Zheng; Jiashuo Liu; Jiaxing Li; Jiayun Wu; Peng Cui; Youyong Kong Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graph neural networks; out of distribution; sample reweighting
1306	Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Authors: Xunkai Li; Zhengyu Wu; Kaichi Yu; Hongchao Qin; Guang Zeng; Rong-Hua Li; Guoren Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Data Knowledge Distillation; Graph Neural Network; Directed Graph Learning
1307	Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Authors: Dominik Fuchsgruber; Tom Wollschläger; Johannes Bordne; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Heterophilic Graphs; Uncertainty Estimation; Information Theory; Graph Neural Networks
1308	Unifews: You Need Fewer Operations for Efficient Graph Neural Networks Authors: Ningyi Liao; Zihao Yu; Ruixiao Zeng; Siqiang Luo Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph neural networks; Graph sparsification; Network pruning
1309	Vision Graph Prompting via Semantic Low-Rank Decomposition Authors: Zixiang Ai; Zichen Liu; Jiahuan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Graph Neural Networks; Visual Prompting
1310	WILTing Trees: Interpreting the Distance Between MPNN Embeddings Authors: Masahiro Negishi; Thomas Gärtner; Pascal Welke Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Weisfeiler Leman test; Graph Neural Networks; Interpretability; Graph metric; Graph distance
1311	Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win Authors: Lorenz Kummer; Samir Moustafa; Anatol Ehrlich; Franka Bause; Nikolaus Suess; Wilfried N. Gansterer; Nils Morten Kriege Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Lottery Ticket Hypothesis; Graph Neural Networks
1312	What Makes a Good Feedforward Computational Graph? Authors: Alex Vitvitskyi; João Guilherme Madeira Araújo; Marc Lackenby; Petar Veličković Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: graphs; graph neural networks; random walks; mixing time
1313	When Do LLMs Help With Node Classification? A Comprehensive Analysis Authors: Xixi Wu; Yifei Shen; Fangzhou Ge; Caihua Shan; Yizhu Jiao; Xiangguo Sun; Hong Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Large Language Models; Graph Neural Networks; Node Classification
1314	Zero-Shot Generalization of GNNs over Distinct Attribute Domains Authors: Yangyi Shen; Jincheng Zhou; Beatrice Bevilacqua; Joshua Robinson; Charilaos Kanatsoulis; Jure Leskovec; Bruno Ribeiro Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: GNN; zero-shot; graph foundation models
1315	iN2V: Bringing Transductive Node Embeddings to Inductive Graphs Authors: Nicolas Lell; Ansgar Scherp Affiliation: 官方页面未列出 Official area / track: deep_learning->graph_neural_networks Recognition: Poster/Regular Keywords: Node2Vec; Inductive; Embedding; Graph; GNN
1316	(How) Do Language Models Track State? Authors: Belinda Z. Li; Zifan Carl Guo; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: state tracking; simulation; interpretability
1317	A Hitchhiker's Guide to Scaling Law Estimation Authors: Leshem Choshen; Yang Zhang; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Scaling laws; recycling; efficiency; LLMs; Large Language Models; NLP; Natural Lagnuage Processing
1318	A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models Authors: Mengyang Sun; Yihao Wang; Tao Feng; Dan Zhang; Yifan Zhu; Jie Tang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-Tuning; Low-Rank Adaptation; Mixture of Experts; Foundation Models; Gradient Optimization; Riemannian Preconditioner
1319	A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language? Authors: Ibrahim Alabdulmohsin; Andreas Peter Steiner Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; fractals; Hurst exponent; Holder exponent; self-similarity; detection; decoding; instruction-tuning; prompting
1320	A Unified Approach to Routing and Cascading for LLMs Authors: Jasper Dekoninck; Maximilian Baader; Martin Vechev Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; routing; cascading
1321	AMPO: Active Multi Preference Optimization for Self-play Preference Selection Authors: Taneesh Gupta; Rahul Madhavan; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Preference Optimization; Active Learning; Multi-Preference Optimization; RLHF
1322	Accelerating Large Language Model Reasoning via Speculative Search Authors: Zhihai Wang; Jie Wang; Jilai Pan; Xilin Xia; Huiling Zhen; Mingxuan Yuan; Jianye HAO; Feng Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model Reasoning; Inference Acceleration; Tree Search; Speculative Execution
1323	Accelerating Unbiased LLM Evaluation via Synthetic Feedback Authors: Zhaoyi Zhou; Yuda Song; Andrea Zanette Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM evaluation; synthetic evaluation; variance reduction
1324	Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment Authors: Yunyi Shen; Hao Sun; Jean-Francois Ton Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Reward modeling; active learning; LLM alignment
1325	AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism Authors: Zhepei Wei; Wei-Lin Chen; Xinyu Zhu; Yu Meng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Autoregressive model; efficient decoding; parallel token processing
1326	Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation Authors: Bohan Lyu; Yadi Cao; Duncan Watson-Parris; Leon Bergen; Taylor Berg-Kirkpatrick; Rose Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Alignment; AI for Science
1327	Adaptive Localization of Knowledge Negation for Continual LLM Unlearning Authors: Abudukelimu Wuerkaixi; Qizhou Wang; Sen Cui; Wutong Xu; Bo Han; Gang Niu; Masashi Sugiyama; Changshui Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language model; Continual learning; Unlearning; Robustness
1328	AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence Authors: Yuliang Liu; Junjie Lu; Chaofeng Qu; Zhaoling Chen; Zefan Cai; Jason Klein Liu; Chonghan Liu; Yunhui Xia; Li Zhao; Jiang Bian; Chuheng Zhang; Wei Shen; Zhouhan Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Process Reward Model; LLM Reasoning; Reasoning Step Dividing
1329	Aligning LLMs by Predicting Preferences from User Writing Samples Authors: Stéphane Aroca-Ouellette; Natalie Mackraz; Barry-John Theobald; Katherine Metcalf Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: NLP; LLM; preference learning; user demonstrations; benchmark
1330	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Authors: Junkang Wu; Xue Wang; Zhengyi Yang; Jiancan Wu; Jinyang Gao; Bolin Ding; Xiang Wang; Xiangnan He Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Direct Preference Optimization; LLM's alignment
1331	AlphaPO: Reward Shape Matters for LLM Alignment Authors: Aman Gupta; Shao Tang; Qingquan Song; Sirou Zhu; Jiwoo Hong; Ankan Saha; Viral Gupta; Noah Lee; Eunki Kim; Siyu Zhu; Parag Agrawal; Natesh S. Pillai; Sathiya Keerthi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: llm; large language models; deep learning; alignment; preference tuning; post training; reward shaping
1332	AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement Authors: Pranjal Aggarwal; Bryan Parno; Sean Welleck Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: formal verification; code generation; self-improvement; inference compute
1333	An Architecture Search Framework for Inference-Time Techniques Authors: Jon Saad-Falcon; Adrian Gamarra Lafuente; Shlok Natarajan; Nahum Maru; Hristo Todorov; Etash Kumar Guha; E. Kelly Buchanan; Mayee F Chen; Neel Guha; Christopher Re; Azalia Mirhose… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: inference-time techniques; test-time scaling; machine learning; natural language processing
1334	An Efficient Pruner for Large Language Model with Theoretical Guarantee Authors: Canhong Wen; Yihong Zuo; Wenliang Pan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Pruning; Risk Upper Bound; Monotone accelerated Iterative Hard Thresholding
1335	An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks Authors: Valentyn Boreiko; Alexander Panfilov; Vaclav Voracek; Matthias Hein; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM jailbreaks; N-gram; threat model; perplexity filter
1336	Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Authors: Daniil Laptev; Nikita Balagansky; Yaroslav Aksenov; Daniil Gavrilov Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mechansitic Interpretability; Sparse Autoencoders; Steering; Large Language Models
1337	AnyEdit: Edit Any Knowledge Encoded in Language Models Authors: Houcheng Jiang; Junfeng Fang; Ningyu Zhang; Mingyang Wan; Guojun Ma; Xiang Wang; Xiangnan He; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Model Editing
1338	Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle Authors: Hui Dai; Ryan Teehan; Mengye Ren Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Forecasting; Continuous Evaluation; Temporal Generalization
1339	Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data Authors: Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianping Fan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language model; graph; attention perpective
1340	AuPair: Golden Example Pairs for Code Repair Authors: Aditi Mavalankar; Hassan Mansoor; Zita Marinho; Mariia Samsikova; Tom Schaul Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Coding; In-context learning
1341	Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities Authors: Sreyan Ghosh; Zhifeng Kong; Sonal Kumar; S Sakshi; Jaehyeon Kim; Wei Ping; Rafael Valle; Dinesh Manocha; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: audio; sound; large audio-language model
1342	Automated Benchmark Generation for Repository-Level Coding Tasks Authors: Konstantinos Vergopoulos; Mark Niklas Mueller; Martin Vechev Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Code Agents; Benchmark Generation; Coding Benchmark; Large Language Models
1343	Automated Hypothesis Validation with Agentic Sequential Falsifications Authors: Kexin Huang; Ying Jin; Ryan Li; Michael Y. Li; Emmanuel Candes; Jure Leskovec Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM agent; hypothesis testing; sequential decision making; safe testing; data-driven discovery; sequential error control
1344	Autonomy-of-Experts Models Authors: Ang Lv; Ruobing Xie; Yining Qian; Songhao Wu; Xingwu Sun; Zhanhui Kang; Di Wang; Rui Yan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture-of-Experts; Autonomy-of-Experts; Language models
1345	BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Authors: Dujian Ding; Ankur Mallick; Shaokun Zhang; Chi Wang; Daniel Madrigal; Mirian Del Carmen Hipolito Garcia; Menglin Xia; Laks V. S. Lakshmanan; Qingyun Wu; Victor Rühle Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language models; Efficient ML; Query Routing; Test-time Optimal Compute
1346	BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning Authors: Han Zhong; Yutong Yin; Shenao Zhang; Xiaojun Xu; Yuanxin Liu; Yifei Zuo; Zhihan Liu; Boyi Liu; Sirui Zheng; Hongyi Guo; Liwei Wang; Mingyi Hong; Zhaoran Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reasoning; boostrapping; RL; rational generation
1347	BackSlash: Rate Constrained Optimized Training of Large Language Models Authors: Jun Wu; Jiangtao Wen; Yuxing Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model Compression; Rate-Distortion Optimization; Entropy Encoding
1348	BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms Authors: Yunlong Hou; Fengzhuo Zhang; Cunxiao Du; Xuan Zhang; Jiachun Pan; Tianyu Pang; Chao Du; Vincent Y. F. Tan; Zhuoran Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Inference Acceleration; Speculative Decoding; Training-free; Hyperparameter Selection; Bandit Algorithms
1349	Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective Authors: Qingchuan Ma; Yuhang Wu; Xiawu Zheng; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Abstract Reasoning; Benchmark
1350	Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics Authors: Shiwei Li; Xiandi Luo; Xing Tang; Haozhao Wang; Hao Chen; weihongluo; Yuhua Li; xiuqiang He; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Low-Rank Adaptation; Non-Zero Initialization
1351	Binary Hypothesis Testing for Softmax Models and Leverage Score Models Authors: Yuzhou Gu; Zhao Song; Junze Yin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Binary hypothesis testing; softmax distributions; large language models; attention
1352	BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference Authors: Wonsuk Jang; Thierry Tambe Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Quantization; Large Language Models; Hardware-supported scaling; Mixed format
1353	Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples Authors: Xize Liang; Lin Yang; Jie Wang; Yiyang Lu; Runyu Wu; Hanzhu Chen; Jianye HAO Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: curriculum learning; large language models; mixed data
1354	Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time Authors: Mohamad Fares El Hajj Chehade; Soumya Suvra Ghosal; Souradip Chakraborty; Avinash Reddy; Dinesh Manocha; Hao Zhu; Amrit Singh Bedi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: alignment; language models; fine-tuning; controlled decoding; inference time
1355	Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Authors: Shiqi Chen; Jinghan Zhang; Tongyao Zhu; Wei Liu; Siyang Gao; Miao Xiong; Manling Li; Junxian He Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Interpretability; Model Merging; Vision Language Models
1356	C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation Authors: Guoxin Chen; Minpeng Liao; Peiying Yu; Dingmin Wang; Zile Qiao; Chao Yang; Xin Zhao; Kai Fan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation
1357	CLOVER: Cross-Layer Orthogonal Vectors Pruning Authors: Fanxu Meng; Pingzhi Tang; Fan Jiang; Muhan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: SVD; PEFT; Pruning
1358	CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models Authors: Lanyun Zhu; Deyi Ji; Tianrun Chen; Haiyang Wu; De Wen Soh; Jun Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Referring multimodal large language models
1359	CRANE: Reasoning with constrained LLM generation Authors: Debangshu Banerjee; Tarun Suresh; Shubham Ugare; Sasa Misailovic; Gagandeep Singh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM reasoning; Constrained Decoding; Grammar Guided Generation.
1360	CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization Authors: Nay Myat Min; Long H. Pham; Yige Li; Jun Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Security; Backdoor Defense; Consistency Regularization
1361	Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models Authors: Alina Shutova; Vladimir Malinovskii; Vage Egiazarian; Denis Kuznedelev; Denis Mazur; Surkov Nikita; Ivan Ermakov; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Key-Value Cache Quantization; Compression
1362	Calibrated Language Models and How to Find Them with Label Smoothing Authors: Jerry Huang; Peng Lu; QIUHAO Zeng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: model calibration; label smoothing; large vocabulary large language models
1363	Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression Authors: Peijie Dong; Zhenheng Tang; Xiang Liu; Lujun Li; Xiaowen Chu; Bo Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Agent; LLM; Quantization; Pruning
1364	Can Large Language Models Understand Intermediate Representations in Compilers? Authors: Hailong Jiang; Jianfeng Zhu; Yao Wan; Bo Fang; Hongyu Zhang; Ruoming Jin; Qiang Guan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Intermediate Representations (IRs); Code Comprehension
1365	Can We Predict Performance of Large Models across Vision-Language Tasks? Authors: Qinyu Zhao; Ming Xu; Kartik Gupta; Akshay Asthana; Liang Zheng; Stephen Gould Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Vision-Language Models (LVLMs); Benchmarking; Probabilistic Matrix Factorization (PMF); Markov Chain Monte Carlo (MCMC); Active Evaluation
1366	CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration Authors: Haoyun Jiang; Haolin li; jianwei zhang; Fei Huang; Qiang Hu; Minmin Sun; Shuai Xiao; Yong Li; Junyang Lin; Jiangchao Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Lauguage Models; Acceleration; Long context
1367	Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning Authors: Wanyun Xie; Francesco Tonin; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Data mixture; LLMs; leverage score; pretraining; finetuning
1368	CoMemo: LVLMs Need Image Context with Image Memory Authors: Shi Liu; Weijie Su; Xizhou Zhu; Wenhai Wang; Jifeng Dai Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Deep Learning; Large Language Models; Large Vision Language Models
1369	CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance Authors: Yongchao Chen; Yilun Hao; Yueying Liu; Yang Zhang; Chuchu Fan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Code Interpreter; Code/text generation; Symbolic computing; Model fine-tuning; Model reasoning and planning
1370	Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World Authors: Joshua Kazdan; Rylan Schaeffer; Apratim Dey; Matthias Gerstgrasser; Rafael Rafailov; David L. Donoho; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: model collapse; synthetic data; model-data feedback loops; data-model feedback loops; generative models; generative modeling; kernel density estimation; superv…
1371	CommVQ: Commutative Vector Quantization for KV Cache Compression Authors: Junyan Li; Yang Zhang; Muhammad Yusuf Hassan; Talha Chafekar; Tianle Cai; Zhile Ren; Pengsheng Guo; Foroozan Karimzadeh; Colorado Reed; Chong Wang; Chuang Gan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: KV Cache; LLM
1372	Communicating Activations Between Language Model Agents Authors: Vignav Ramesh; Kenneth Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; multiagent communication; embedding representation; multiagent debate
1373	Compositional Causal Reasoning Evaluation in Language Models Authors: Jacqueline R. M. A. Maasch; Alihan Hüyük; Xinnuo Xu; Aditya V. Nori; Javier Gonzalez Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language models; causal reasoning; compositional reasoning; reasoning; evaluation; graphical models; causal inference
1374	Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead Authors: Rickard Brüel Gabrielsson; Jiacheng Zhu; Onkar Bhardwaj; Leshem Choshen; Kristjan Greenewald; Mikhail Yurochkin; Justin Solomon Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LoRA; PEFT; Serving LoRAs
1375	ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization Authors: Hee Suk Yoon; Eunseop Yoon; Mark A. Hasegawa-Johnson; Sungwoong Kim; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RLHF; DAA; overoptimization
1376	Controlling Large Language Model with Latent Action Authors: Chengxing Jia; Ziniu Li; Pengyuan Wang; Yi-Chen Li; Zhenyu Hou; Yuxiao Dong; Yang Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Controllable language model; latent action model
1377	Core Context Aware Transformers for Long Context Language Modeling Authors: Yaofo Chen; Zeng You; Shuhai Zhang; Haokun Li; Yirui Li; Yaowei Wang; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Efficient Attention
1378	CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Authors: Qinsi Wang; Hancheng Ye; Ming-Yu Chung; Yudong Liu; Yueqian Lin; Martin Kuo; Mingyuan Ma; Jianyi Zhang; Yiran Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Vision-language model; VLM inference acceleration
1379	Cost-efficient Collaboration between On-device and Cloud Language Models Authors: Avanika Narayan; Dan Biderman; Sabri Eyuboglu; Avner May; Scott Linderman; James Zou; Christopher Re Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Local-remote collaboration; reasoning
1380	Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM’s Reasoning Capability Authors: Zicheng Lin; Tian Liang; Jiahao Xu; Qiuzhi Liu; Xing Wang; Ruilin Luo; Chufan Shi; Siheng Li; Yujiu Yang; Zhaopeng Tu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Reasoning
1381	DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models Authors: Changyi He; Yifu Ding; Jinyang Guo; Ruihao Gong; Haotong Qin; Xianglong Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Knowledge Distillation
1382	DLP: Dynamic Layerwise Pruning in Large Language Models Authors: Yuli Chen; Bo Cheng; Jiale Han; Yingying Zhang; Yingting Li; Shuhao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Pruning; Large Language Models; Model Compression
1383	DS-VLM: Diffusion Supervision Vision Language Model Authors: Zhen Sun; Yunhang Shen; Jie Li; Xing Sun; Pingyang Dai; Liujuan Cao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Vision language model; Diffusion Model
1384	Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models Authors: Yuan Li; Zhengzhong Liu; Eric P. Xing Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language models; supervised fine-tuning; data mixing
1385	DataDecide: How to Predict Best Pretraining Data with Small Experiments Authors: Ian Magnusson; Nguyen Tai; Ben Bogin; David Heineman; Jena D. Hwang; Luca Soldaini; Akshita Bhagia; Jiacheng Liu; Dirk Groeneveld; Oyvind Tafjord; Noah A. Smith; Pang Wei Koh; Jes… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Pretraining Data; Language Models; Scaling Laws; Evaluation; Benchmarks; Data Recipes; Data Ablations
1386	De-mark: Watermark Removal in Large Language Models Authors: Ruibo Chen; Yihan Wu; Junfeng Guo; Heng Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Model Watermarking; Watermarking Removal
1387	Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision Authors: Qi Zhou; Dongxia Wang; Tianlin Li; Yun Lin; Yang Liu; Jin Song Dong; Qing Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large vision language models; safety and security; vision question answering
1388	Deliberation in Latent Space via Differentiable Cache Augmentation Authors: Luyang Liu; Jonas Pfeiffer; Jiaxing Wu; Jun Xie; Arthur Szlam Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Latent reasoning; Cache augmentation; LLM
1389	Demonstration Selection for In-Context Learning via Reinforcement Learning Authors: Xubin Wang; Jianfei Wu; Yuan Yichen; Deyu Cai; Mingzhe Li; Weijia Jia Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; In-Context Learning; Reinforcement Learning; Chain-of-Thought
1390	Demystifying Long Chain-of-Thought Reasoning Authors: Shiming Yang; Yuxuan Tong; Xinyao Niu; Graham Neubig; Xiang Yue Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Reinforcement Learning; Reasoning; Math; Chain-of-Thought; CoT; Supervised Fine-tuning; Reward Design
1391	Demystifying Singular Defects in Large Language Models Authors: Haoqi Wang; Tong Zhang; Mathieu Salzmann Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Machine Learning; ICML; Singular Defect; Large Language Models; High-Norm Tokens; LLM Quantization; LLM Signature
1392	Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs Authors: Ravi Ghadia; Avinash Kumar; Gaurav Jain; Prashant J. Nair; Poulami Das Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Key-Value Cache Compression
1393	Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data Authors: Siqi Guo; Ilgee Hong; Vicente Balmaseda; Changlong Yu; Liang Qiu; Xin Liu; Haoming Jiang; Tuo Zhao; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Discriminative Likelihood; Supervised Finetuning
1394	Discriminative Policy Optimization for Token-Level Reward Models Authors: Hongzhan Chen; Tao Yang; Shiping Gao; Ruijun Chen; Xiaojun Quan; Hongtao Tian; Ting Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Reward Model; Reinforcement Learning; LLM
1395	Distillation Scaling Laws Authors: Dan Busbridge; Amitis Shidani; Floris Weers; Jason Ramapuram; Etai Littwin; Russell Webb Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: scaling laws; distillation; pretraining; alms; large language models
1396	Diverging Preferences: When do Annotators Disagree and do Models Know? Authors: Michael JQ Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi; Eunsol Choi; Xiang Ren; Valentina Pyatkin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RLHF; Pluralistic Alignment
1397	Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning Authors: Zican Hu; Wei Liu; Xiaoye Qu; Xiangyu Yue; Chunlin Chen; Zhi Wang; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language agents; Hierarchical reinforcement learning; Offline reinforcement learning
1398	Diving into Self-Evolving Training for Multimodal Reasoning Authors: Wei Liu; Junlong Li; Xiwen Zhang; Fan Zhou; Yu Cheng; Junxian He Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal Reasoning; Self-Evolving Training; Large Multimodal Models
1399	Do NOT Think That Much for 2+3=? On the Overthinking of Long Reasoning Models Authors: Xingyu Chen; Jiahao Xu; Tian Liang; Zhiwei He; Jianhui Pang; Dian Yu; Linfeng Song; Qiuzhi Liu; Mengfei Zhou; Zhuosheng Zhang; Rui Wang; Zhaopeng Tu; Haitao Mi; Dong Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; OpenAI-o1; QwQ; R1; Reasoning; Math; Overthinking; Efficiency
1400	DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning Authors: Xiaolong Xu; Yibo Zhou; Haolong Xiang; Xiaoyong Li; Xuyun Zhang; Lianyong Qi; Wanchun Dou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Document-level relation extraction; Structural knowledge integration; Semantic retrieval; Hybrid-prompt tuning
1401	Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training Authors: Mozhi Zhang; Howe Tissue; Lu Wang; Xipeng Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language models; Pretraining; Data mixutre
1402	DyCodeEval: Dynamic Benchmarking of Reasoning Capabilities in Code Large Language Models Under Data Contamination Authors: Simin Chen; Pranav Pusarla; Baishakhi Ray Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: benchmarking; code generation; large language model; trustworthy ML
1403	Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Authors: Chendi Ge; Xin Wang; Zeyang Zhang; Hong Chen; Jiapei Fan; Longtao Huang; Hui Xue; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal large language model; Continual learning; Parameter efficient tuning
1404	EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration Authors: Allen Nie; Yi Su; Bo Chang; Jonathan Lee; Ed H. Chi; Quoc V Le; Minmin Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Exploration; In-Context Reinforcement Learning; Bandit
1405	Earley-Driven Dynamic Pruning for Efficient Structured Decoding Authors: Xintong Sun; Chi Wei; Minghao Tian; Shiwen Ni Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: constrained decoding; structured generation; LLM inference; MLSys
1406	EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning Authors: Dong HUANG; Guangtao Zeng; Jianbo Dai; Meng Luo; Han Weng; Yuhao QING; Heming Cui; Zhijiang Guo; Jie Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM-generated code; efficiency
1407	Efficient Long Context Fine-tuning with Chunk Flow Authors: Xiulong Yuan; Hongtao Xu; Wenting Shen; Ang Wang; Xiafei Qiu; Jie Zhang; Yuqiong Liu; Bowen Yu; Junyang Lin; Mingzhen Li; Weile Jia; Yong Li; Wei Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Long context fine-tuning; Large language model
1408	Eliciting Language Model Behaviors with Investigator Agents Authors: Xiang Lisa Li; Neil Chowdhury; Daniel D. Johnson; Tatsunori Hashimoto; Percy Liang; Sarah Schwettmann; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: red teaming; posterior inference
1409	Emergent Response Planning in LLMs Authors: Zhichen Dong; Zhanhui Zhou; Zhixuan Liu; Chao Yang; Chaochao Lu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Emergent Planning; Model Probing and Hidden Representations
1410	Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models Authors: Yukang Yang; Declan Iain Campbell; Kaixuan Huang; Mengdi Wang; Jonathan D. Cohen; Taylor Whittington Webb Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mechanistic interpretability; reasoning; abstraction; large language models
1411	Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model Authors: Yuzhong Hong; Hanshan Zhang; Junwei Bao; Hongfei Jiang; yang song Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: preference model; offline alignment
1412	Enhancing Decision-Making of Large Language Models via Actor-Critic Authors: Heng Dong; Kefei Duan; Chongjie Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Decision-Making; Actor-Critic
1413	EpiCoder: Encompassing Diversity and Complexity in Code Generation Authors: Yaoxiang Wang; Haoling Li; Xin Zhang; Jie Wu; Xiao Liu; Wenxiang Hu; Zhongxin Guo; Yangyu Huang; Ying Xin; Yujiu Yang; Jinsong Su; Qi Chen; Scarlett Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language model; code generation; code; data synthesis
1414	Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators Authors: Yilun Zhou; Austin Xu; PeiFeng Wang; Caiming Xiong; Shafiq Joty Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM-as-judge; test-time scaling; benchmark
1415	Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving Authors: Yuxuan Zhou; Xien Liu; Chenwei Yan; Chen Ning; Xiao Zhang; Boxun Li; Xiangling Fu; Shijin Wang; Guoping Hu; Yu Wang; Ji Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Medical Evaluation; Bloom's Taxonomy
1416	EvoPress: Accurate Dynamic Model Compression via Evolutionary Search Authors: Oliver Sieberling; Denis Kuznedelev; Eldar Kurtic; Dan Alistarh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; compression; quantization; pruning; evolutionary algorithms
1417	Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective Authors: Jianyu Wang; Zhiqiang Hu; Lidong Bing Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Prompt Optimization; In-context Learning; AI Alignment; Self-improvement; Open-Endedness
1418	Explicit Preference Optimization: No Need for an Implicit Reward Model Authors: Xiangkun Hu; Lemin Kong; Tong He; David Wipf Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: direct preference optimization; reinforcement learning from human feedback; preference alignment; regularized regression
1419	Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models Authors: Xin Cheng; Jiabo Ye; Haiyang Xu; Ming Yan; Ji Zhang; Feng Liu; Fei Huang; Lei Feng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language model; continual learning; low-rank adaptation
1420	FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees Authors: Fan Nie; Xiaotian Hou; Shuhang Lin; James Zou; Huaxiu Yao; Linjun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Uncertainty Quantification; Hallucination Detection; Neyman-Pearson Classification; Comformal Prediction
1421	Fast Large Language Model Collaborative Decoding via Speculation Authors: Jiale Fu; Yuchu Jiang; Junkai Chen; Jiaming Fan; Xin Geng; Xu Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Collaborative Decoding; Inference Acceleration; Speculative Decoding
1422	FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation Authors: Chengying Fang; Wenke Huang; Guancheng Wan; Yihao Yang; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Federated Prompt Learning; Domain Adaptation; Model Heterogeneity; Singular Value Decomposition
1423	Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Authors: Ruhan Wang; Zhiyong Wang; Chengkai Huang; Rui Wang; Tong Yu; Lina Yao; John C.S. Lui; Dongruo Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Federated Learning; In-context Learning; Large Language Model; Natural Language Processing
1424	Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Authors: Yao Shu; Wenyang Hu; See-Kiong Ng; Bryan Kian Hsiang Low; Fei Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Federated Full-Parameter Tuning; Scalability; Theoretical Guarantees
1425	FlatQuant: Flatness Matters for LLM Quantization Authors: Yuxuan Sun; Ruikang Liu; Haoli Bai; Han Bao; Kang Zhao; Yuening Li; JiaxinHu; Xianzhi Yu; Lu Hou; Chun Yuan; Xin Jiang; Wulong Liu; Jun Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: flatness; post-training-quantiation; affine transformation; large language models; INT4 quantization
1426	FlipAttack: Jailbreak LLMs via Flipping Authors: Yue Liu; Xiaoxin He; Miao Xiong; Jinlan Fu; Shumin Deng; YINGWEI MA; Jiaheng Zhang; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Jailbreak Attack; AI Safety
1427	FloE: On-the-Fly MoE Inference on Memory-constrained GPU Authors: Yuxin Zhou; zheng li; Jun Zhang; Jue WANG; Yiping Wang; Zhongle Xie; Ke Chen; Lidan Shou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture-of-Experts; Efficient Inference; Model Compression; Experts Offloading
1428	Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples Authors: Fangxu Yu; Lai Jiang; Haoqiang Kang; Shibo Hao; Lianhui Qin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; reasoning; diversity; multi-step reasoning
1429	Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options Authors: Lakshmi Nair; Ian Trase; J. Mark Kim Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Agents; AutoML; LLM reasoning
1430	Focus On This, Not That! Steering LLMs with Adaptive Feature Specification Authors: Tom A. Lamb; Adam Davies; Alasdair Paren; Philip Torr; Francesco Pinto Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Instruction Tuning; LLMs; Spurious Correlations
1431	Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning Authors: Zhenni Bi; Kai Han; Chuanjian Liu; Yehui Tang; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: forest of thought; fot; nlp; llm
1432	Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization Authors: Ermo Hua; Che Jiang; Xingtai Lv; Kaiyan Zhang; Youbang Sun; Yuchen Fan; Xuekai Zhu; Biqing Qi; Ning Ding; Bowen Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Position Embedding; Length Generalization; Length Extrapolation; Fourier Transform
1433	Fragments to Facts: Partial-Information Fragment Inference from LLMs Authors: Lucas Rosenblatt; Bin HAN; Robert Wolfe; Bill Howe Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: memorization; extraction; membership inference; attacks; LLMs; large language models; privacy
1434	Free Process Rewards without Process Labels Authors: Lifan Yuan; Wendi Li; Huayu Chen; Ganqu Cui; Ning Ding; Kaiyan Zhang; Bowen Zhou; Zhiyuan Liu; Hao Peng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Process Reward Model
1435	From Debate to Equilibrium: Belief‑Driven Multi‑Agent LLM Reasoning via Bayesian Nash Equilibrium Authors: Xie Yi; Zhanke Zhou; Chentao Cao; Qiyu Niu; Tongliang Liu; Bo Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Multiagent Reasoning
1436	From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? Authors: Zhanke Zhou; Xiao Feng; Zhaocheng Zhu; Jiangchao Yao; Sanmi Koyejo; Bo Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Reasoning; Active Reasoning
1437	From RAG to Memory: Non-Parametric Continual Learning for Large Language Models Authors: Bernal Jiménez Gutiérrez; Yiheng Shu; Weijian Qi; Sizhe Zhou; Yu Su Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: retrieval-augmented generation; large language models; long-term memory; continual learning
1438	FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch Authors: Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Bayesian Optimization; LLM; Acquisition Functions
1439	Function-to-Style Guidance of LLMs for Code Translation Authors: Longhui Zhang; Bin Wang; Jiahao Wang; Xiaofeng Zhao; Min Zhang; Hao Yang; Meishan Zhang; YU LI; Jing Li; Jun Yu; Min Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Code Translation; Large Language Models
1440	GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models Authors: Pengxiang Zhao; Xiaoming Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Non-uniform Quantization; GPU-adaptive Algorithms
1441	GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation Authors: Jiashu He; Mingyu Derek Ma; Jinxuan Fan; Dan Roth; Wei Wang; Alejandro Ribeiro Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; reasoning; agent; biomedical question answering; AI for science; knowledge graph
1442	GRAM: A Generative Foundation Reward Model for Reward Generalization Authors: Chenglong Wang; Yang Gan; Yifu Huo; Yongyu Mu; Qiaozhi He; MuRun Yang; Bei Li; Tong Xiao; Chunliang Zhang; Tongran Liu; JingBo Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Reward Modeling; RLHF
1443	GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs Authors: Yue Wang; Qizhou Wang; Feng Liu; Wei Huang; Yali Du; Xiaojiang Du; Bo Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model Unlearning
1444	GSM-$\infty$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length? Authors: Yang Zhou; Hongyi Liu; Zhuoming Chen; Yuandong Tian; Beidi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Long Context; Reasoning; Understanding; Benchmarks
1445	Generalists vs. Specialists: Evaluating LLMs on Highly-Constrained Biophysical Sequence Optimization Tasks Authors: Angelica Chen; Samuel Don Stanton; Frances Ding; Robert G Alberstein; Andrew Martin Watkins; Richard Bonneau; Vladimir Gligorijevic; Kyunghyun Cho; Nathan C. Frey Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: biophysical optimization; large language models; discrete sequence optimization
1446	Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs? Authors: Simon Park; Abhishek Panigrahi; Yun Cheng; Dingli Yu; Anirudh Goyal; Sanjeev Arora Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: vision language models; modality imbalance; SIMPLE-to-HARD generalization; gradient alignment
1447	Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models Authors: Linhao Luo; Zicheng Zhao; Gholamreza Haffari; Yuan-Fang Li; Chen Gong; Shirui Pan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Knowledge Graph
1448	Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents Authors: Nolan Koblischke; Hyunseok Jang; Kristen Menou; Mohamad Ali-Dib Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Scientific Discovery; Benchmarking; Evaluations; Physics; Agents; Planning; Large Language Models
1449	Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers Authors: Roman Abramov; Felix Steinbauer; Gjergji Kasneci Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: multi-hop reasoning; transformers; grokking; knowledge graphs; data synthesis; generalization circuits; factual reasoning; NLP; synthetic data augmentation.
1450	GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning Authors: Zhen Xiang; Linzhi Zheng; Yanjie Li; Junyuan Hong; Qinbin Li; Han Xie; Jiawei Zhang; Zidi Xiong; Chulin Xie; Carl Yang; Dawn Song; Bo Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: agent; large language model; guardrail; reasoning
1451	Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents Authors: Karina Zainullina; Alexander Golubev; Maria Trofimova; Sergei Polezhaev; Ibragim Badertdinov; Daria Litvintseva; Simon Karasik; Filipp Fisin; Sergei Skvortsov; Maksim Nekrashevich… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RL; Planning; Test-time search; Test-time computation; Agents; LLM; Software Engineering; SWE-bench; Process supervision; Outcome supervision
1452	GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance Authors: Jinuk Kim; Marwa El Halabi; Wonpyo Park; Clemens JS Schaefer; Deokjae Lee; Yeonhong Park; Jae W. Lee; Hyun Oh Song Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Quantization; Post-training quantization; One-shot quantization
1453	Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding Authors: Jinze Li; Yixing Xu; Haiduo Huang; Xuanwu Yin; Dong Li; Edith C. H. Ngai; Emad Barsoum Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Speculative Decoding; Large Language Models
1454	HPS: Hard Preference Sampling for Human Preference Alignment Authors: Xiandong Zou; Wanyu Lin; Yuchen Li; Pan Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Alignment; Preference Optimization; RLHF; Large Language Models
1455	HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding Authors: Rui Yang; Lin Song; Yicheng Xiao; Runhui Huang; Yixiao Ge; Ying Shan; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Vision language models; Multi-modal large language model
1456	Heads up! Large Language Models Can Perform Tasks Without Your Instruction via Selective Attention Head Masking Authors: Senyu Han; Hongchuan Zeng; Kai Yu; Lu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Attention Mechanism; Interpretability; Deep Learning
1457	Hidden No More: Attacking and Defending Private Third-Party LLM Inference Authors: Rahul Krishna Thomas; Louai Zahran; Erica Choi; Akilesh Potti; Micah Goldblum; Arka Pal Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLMs; Privacy; Hidden States
1458	How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence Authors: Hyeong Kyu Choi; Maxim Khanov; Hongxin Wei; Yixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Dataset Leakage; Data Contamination; Large Language Model
1459	How Much Can We Forget about Data Contamination? Authors: Sebastian Bordt; Suraj Srinivas; Valentyn Boreiko; Ulrike von Luxburg Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Contamination; Forgetting; Scaling; Optimization
1460	HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Authors: Runquan Gui; Zhihai Wang; Jie Wang; Chi Ma; Huiling Zhen; Mingxuan Yuan; Jianye HAO; Defu Lian; Enhong Chen; Feng Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Reasoning; Planning; Hierarchical Thinking
1461	Hyperband-based Bayesian Optimization for Black-box Prompt Selection Authors: Lennart Schneider; Martin Wistuba; Aaron Klein; Jacek Golebiowski; Giovanni Zappella; Felice Antonio Merra Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Black-box prompt selection; large language models; Bayesian optimization; Hyperband; query efficiency; sample efficiency; structural-aware modeling; multi-fide…
1462	Hypo3D: Exploring Hypothetical Reasoning in 3D Authors: Ye Mao; Weixun Luo; Junpeng Jing; Anlan Qiu; Krystian Mikolajczyk Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: 3D Computer Vision; Vision-Language Model; Hypothetical Reasoning
1463	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck Authors: Tian Bian; Yifan Niu; Chaohao Yuan; Chengzhi Piao; Bingzhe Wu; Long-Kai Huang; Yu Rong; Tingyang Xu; Hong Cheng; Jia Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Circuit Discovery
1464	Idiosyncrasies in Large Language Models Authors: Mingjie Sun; Yida Yin; Zhiqiu Xu; J Zico Kolter; Zhuang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Idiosyncrasies; Dataset bias; Synthetic data
1465	Imagine While Reasoning in Space: Multimodal Visualization-of-Thought Authors: Chengzu Li; Wenshan Wu; Huanyu Zhang; Yan Xia; Shaoguang Mao; Li Dong; Ivan Vulić; Furu Wei Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Spatial Reasoning
1466	Improving Diversity in Language Models: When Temperature Fails, Change the Loss Authors: Alexandre Verine; Florian Le Bronnec; Kunhao Zheng; Alexandre Allauzen; Yann Chevaleyre; benjamin negrevergne Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Models; Diversity; Precision; Recall; Temperature
1467	Improving Model Alignment Through Collective Intelligence of Open-Source Models Authors: Junlin Wang; Roy Xie; Shang Zhu; Jue WANG; Ben Athiwaratkun; Bhuwan Dhingra; Shuaiwen Leon Song; Ce Zhang; James Zou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Alignment; Open-Source Model; Mixture of Agents
1468	Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces Authors: Anjiang Wei; Allen Nie; Thiago S. F. X. Teixeira; Rohan Yadav; Wonchan Lee; Ke Wang; Alex Aiken Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language model; agent; parallel programming; performance optimization
1469	Improving Rationality in the Reasoning Process of Language Models through Self-playing Game Authors: Pinzheng Wang; Juntao Li; Zecheng Tang; Haijia Gui; Min zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Self-play; Large Language Models; LLM Reasoning
1470	Improving Your Model Ranking on Chatbot Arena by Vote Rigging Authors: Rui Min; Tianyu Pang; Chao Du; Qian Liu; Minhao Cheng; Min Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Chatbot Arena; Vote Rigging; Large Language Models; Leaderboard Manipulation
1471	InfAlign: Inference-aware language model alignment Authors: Ananth Balashankar; Ziteng Sun; Jonathan Berant; Jacob Eisenstein; Michael Collins; Adrian Hutter; Jong Lee; Chirag Nagpal; Flavien Prost; Aradhana Sinha; Ananda Theertha Suresh;… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language model; alignment; decoding; inference time procedure; best of n
1472	Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models Authors: Patrick Leask; Neel Nanda; Noura Al Moubayed Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: sparse autoencoders; mechanistic interpretability; sparse dictionary learning
1473	Instruction-Following Pruning for Large Language Models Authors: Bairu Hou; Qibin Chen; Jianyu Wang; Guoli Yin; Chong Wang; Nan Du; Ruoming Pang; Shiyu Chang; Tao Lei Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language model; model pruning; contextual sparsity; pre-training; fine-tuning
1474	Interpreting the Repeated Token Phenomenon in Large Language Models Authors: Itay Yona; Ilia Shumailov; Jamie Hayes; Yossi Gandelsman Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Attention Sinks; LLM; Repeated tokens; First Token; LLMs; Privacy; Security
1475	Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning Authors: Changsheng Wang; Yihua Zhang; Jinghan Jia; Parikshit Ram; Dennis Wei; Yuguang Yao; Soumyadeep Pal; Nathalie Baracaldo; Sijia Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Unlearning; LLM; Robustness; Fine-tuning attack
1476	Iterative Vectors: In-Context Gradient Steering without Backpropagation Authors: Yiting Liu; Zhi-Hong Deng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: In-Context Learning; Activation Steering; Backpropagation-Free
1477	Joint Localization and Activation Editing for Low-Resource Fine-Tuning Authors: Wen Lai; Alexander Fraser; Ivan Titov Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: activation editing; low-resource; localization
1478	Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient Authors: Jan Ludziejewski; Maciej Pióro; Jakub Krajewski; Maciej Stefaniak; Michał Krutul; Jan Małaśnicki; Marek Cygan; Piotr Sankowski; Kamil Adamczewski; Piotr Miłoś; Sebastian Jaszczur Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: mixture of experts; scaling laws; llm
1479	KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Authors: Jusheng Zhang; Zimeng Huang; Yijia Fan; Ningyuan Liu; Mingyan Li; Zhuojie Yang; Jiawei Yao; Jian Wang; Keze Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Agent
1480	KV Shifting Attention Enhances Language Modeling Authors: Mingyu Xu; Bingning Wang; Weipeng Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Attention mechanism; Large Language model; Induction heads
1481	KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference Authors: Xing Li; Zeyu XING; Yiming Li; Linping Qu; Hui-Ling Zhen; Yiwu Yao; Wulong Liu; Sinno Jialin Pan; Mingxuan Yuan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Efficient LLM Inference; KV cache quantization; Mixed precision quantization; Attention patterns; Sensitivity analysis
1482	LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning Authors: Zihang Liu; Tianyu Pang; Oleg Balabanov; Chaoqun Yang; Tianjin Huang; Lu Yin; Yaoqing Yang; Shiwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Sparse Fine-tuning; Low-Rank Approximation; Memory Efficiency
1483	LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Authors: Bowen Jin; Jinsung Yoon; Zhen Qin; Ziqi Wang; Wei Xiong; Yu Meng; Jiawei Han; Sercan O Arik Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: information retrieval; LLM alignment
1484	LLM Data Selection and Utilization via Dynamic Bi-level Optimization Authors: Yang Yu; Kai Han; Hang Zhou; Yehui Tang; Kaiqi Huang; Yunhe Wang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Data Selection
1485	LLMs Can Reason Faster Only If We Let Them Authors: Bilgehan Sel; Lifu Huang; Naren Ramakrishnan; Ruoxi Jia; Ming Jin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; decision-making; planning
1486	LLMs can see and hear without any training Authors: Kumar Ashutosh; Yossi Gandelsman; Xinlei Chen; Ishan Misra; Rohit Girdhar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; LLMs; multimodal; reasoning; captioning; image generation; test-time optimization; gradient-free optimization
1487	LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws Authors: Prasanna Mayilvahanan; Thaddäus Wiedemer; Sayak Mallick; Matthias Bethge; Wieland Brendel Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLMs; scaling laws; data-centric ML; generalization
1488	LOGO — Long cOntext aliGnment via efficient preference Optimization Authors: Zecheng Tang; Zechen Sun; Juntao Li; Qiaoming Zhu; Min Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: long-context alignment; long-context model; reinforcement learning
1489	La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation Authors: Kai Liu; Bowen Xu; Shaoyu Wu; Xin Chen; Hao Zhou; Yongliang Tao; lulu hu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Sparse Activation; Large Language Models; Orthogonal Transformation; LLM Inference
1490	Ladder-Residual: Parallelism-Aware Architecture for Accelerating Large Model Inference with Communication Overlapping Authors: Muru Zhang; Mayank Mishra; Zhongzhu Zhou; William Brandon; Jue WANG; Yoon Kim; Jonathan Ragan-Kelley; Shuaiwen Leon Song; Ben Athiwaratkun; Tri Dao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Model; Inference; Distributed Inference; Architecture; Efficiency; Parallelism
1491	Language Models as Implicit Tree Search Authors: Ziliang Chen; Zhao-Rong Lai; Yufeng Yang; Liangda Fang; ZHANFU YANG; Liang Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RL-free preference optimization; LLM based MCTS; LLM alignment; LLM reasoning
1492	Language Models over Canonical Byte-Pair Encodings Authors: Tim Vieira; Tianyu Liu; Clemente Pasti; Yahya Emara; Brian DuSell; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Timothy J. O'Donnell; Ryan Cotterell Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: tokenization; probabilistic inference; structured prediction; constrained generation
1493	Large Language Models are Demonstration Pre-Selectors for Themselves Authors: Jiarui Jin; Yuwei Wu; Haoxuan Li; Xiaoting He; Weinan Zhang; Yiming Yang; Yong Yu; Jun Wang; Mengyue Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Demonstration Pre-Selection; In-Context Learning
1494	Large Language Models to Diffusion Finetuning Authors: Edoardo Cetin; Tianyu Zhao; Yujin Tang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language models; large language models; diffusion; finetuning; test-time scaling
1495	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Authors: Kexin Huang; Junkang Wu; Ziqian Chen; 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->large_language_models Recognition: Poster/Regular Keywords: LLM; RLHF; Preference Optimization; Data Quality
1496	Learning Distribution-wise Control in Representation Space for Language Models Authors: Chunyuan Deng; Ruidi Chang; Hanjie Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Interpretability; Intervention; Model Steering; Representation Learning; Large Language Models
1497	Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding Authors: Tian Jin; Ellie Y Cheng; Zachary Ankner; Nikunj Saunshi; Blake M Elias; Amir Yazdanbakhsh; Jonathan Ragan-Kelley; Suvinay Subramanian; Michael Carbin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: parallel decoding; large language model; inference acceleration
1498	Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge Authors: Swarnadeep Saha; Xian Li; Marjan Ghazvininejad; Jason E Weston; Tianlu Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM-as-a-Judge; Planning; Reasoning; Evaluation
1499	LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Authors: Xinyue Zeng; Haohui Wang; Junhong Lin; Jun Wu; Tyler Cody; Dawei Zhou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Selection; PAC-Bayesian Theory; Generalization Bound; Scaling Laws
1500	Let LLM Tell What to Prune and How Much to Prune Authors: Mingzhe Yang; Sihao Lin; Changlin Li; Xiaojun Chang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; model compression; network pruning; structured pruning
1501	Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation Authors: Sadegh Mahdavi; Muchen Li; Kaiwen Liu; Christos Thrampoulidis; Leonid Sigal; Renjie Liao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mathematical Reasoning; Large Language Models; Evaluation
1502	Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries Authors: Junhyuck Kim; Jongho Park; Jaewoong Cho; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: transformer; kv cache; compression
1503	Liger: Linearizing Large Language Models to Gated Recurrent Structures Authors: Disen Lan; Weigao Sun; Jiaxi Hu; Jusen Du; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Linear-Complexity Sequence Modeling; LoRA
1504	LoRA-Gen: Specializing Large Language Model via Online LoRA Generation Authors: Yicheng Xiao; Lin Song; Rui Yang; Cheng Cheng; Yixiao Ge; Xiu Li; Ying Shan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; LoRA; Specializing Model
1505	Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing Authors: Zhuoran Zhang; Yongxiang Li; Zijian Kan; Keyuan Cheng; Lijie Hu; Di Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Factual Recall; Mechanistic Interpretability; Multi-hop Question Answering
1506	Logits are All We Need to Adapt Closed Models Authors: Gaurush Hiranandani; Haolun Wu; Subhojyoti Mukherjee; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Distribution Shift; Black-box Model; Reweighing; Decoding; Large Language Models
1507	LongRoPE2: Near-Lossless LLM Context Window Scaling Authors: Ning Shang; Li Lyna Zhang; Siyuan Wang; Gaokai Zhang; Gilsinia Lopez; Fan Yang; Weizhu Chen; Mao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Long-Context LLM; context window extension; RoPE
1508	Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Authors: Xin Zou; Yizhou Wang; Yibo Yan; Yuanhuiyi Lyu; Kening Zheng; Sirui Huang; Junkai Chen; Peijie Jiang; Jia Liu; Chang Tang; Xuming Hu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal LLMs; hallucination mitigation; deep learning
1509	Looking Beyond the Top-1: Transformers Determine Top Tokens in Order Authors: Daria Lioubashevski; Tomer M. Schlank; Gabriel Stanovsky; Ariel Goldstein Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: mechanistic interpretability; transformer; large language model; efficient inference
1510	MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving Authors: Ruida WANG; Rui Pan; Yuxin Li; Jipeng Zhang; Yizhen Jia; Shizhe Diao; Renjie Pi; Junjie Hu; Tong Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM reasoning; math QA; Lean4
1511	MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces Authors: Loris Gaven; Thomas Carta; Clément ROMAC; Cédric Colas; sylvain lamprier; Olivier Sigaud; Pierre-Yves Oudeyer Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM agents; Open-Ended Learning; Learning Progress; Goal-conditionned RL; Automatic Curriculum Learning
1512	MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Authors: Zihan Chen; Song Wang; Zhen Tan; Jundong Li; Cong Shen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: In-context learning; Many-shot In-context learning; Large language models
1513	MARGE: Improving Math Reasoning with Guided Exploration Authors: Jingyue Gao; Runji Lin; Keming Lu; Bowen Yu; Junyang Lin; Jianyu Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Reasoning; Reinforcement Learning; Exploration
1514	MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems Authors: Rui Ye; Shuo Tang; Rui Ge; Yaxin Du; Zhenfei Yin; Siheng Chen; Jing Shao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; multi-agent systems
1515	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Authors: Jiazheng Li; Lu Yu; Qing Cui; Zhiqiang Zhang; JUN ZHOU; Yanfang Ye; Chuxu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language models; Data selection; Pre-training
1516	MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations Authors: Kaixuan Huang; Jiacheng Guo; Zihao Li; Xiang Ji; Jiawei Ge; Wenzhe Li; Yingqing Guo; Tianle Cai; Hui Yuan; Runzhe Wang; Yue Wu; Ming Yin; Shange Tang; Yangsibo Huang; Chi Jin; Xin… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: mathematical reasoning; benchmark; robustness
1517	MATS: An Audio Language Model under Text-only Supervision Authors: Wen Wang; RuiBing Hou; Hong Chang; Shiguang Shan; Xilin Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Audio-Language Models; Large Language Models; Audio-Language Contrastive Models
1518	MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention Authors: Yucheng Li; Huiqiang Jiang; Chengruidong Zhang; Qianhui Wu; Xufang Luo; Surin Ahn; Amir H. Abdi; Dongsheng Li; Jianfeng Gao; Yuqing Yang; Lili Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Visual Language Model; LLMs Inference; Long-Context LLMs; Dynamic Sparse Attention; Efficient Inference
1519	MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment Authors: Tianze Wang; Dongnan Gui; Yifan Hu; Shuhang Lin; Linjun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Direct Preference Optimization; Large Language Models; RLHF
1520	Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More Authors: Xialie Zhuang; Zhikai Jia; Jianjin Li; Zhenyu Zhang; Li Shen; Zheng Cao; Shiwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Masked next token prediction; LLM pre-training; key information retrieval
1521	Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization Authors: Deyuan Liu; Zecheng Wang; Bingning Wang; Weipeng Chen; Chunshan Li; Zhiying Tu; Dianhui Chu; Dianbo Sui Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models (LLMs); Pretraining; Checkpoint Merging; Bayesian Optimization
1522	Memorization Sinks: Isolating Memorization during LLM Training Authors: Gaurav Rohit Ghosal; Pratyush Maini; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Memorization; Localization; Unlearning
1523	Memory Layers at Scale Authors: Vincent-Pierre Berges; Barlas Oguz; Daniel HAZIZA; Wen-tau Yih; Luke Zettlemoyer; Gargi Ghosh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: memory; scaling laws; llm; moe; factuality
1524	MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines Authors: Yaolun Zhang; Xiaogeng Liu; Chaowei Xiao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Agent; Multi-Agent System
1525	Metadata Conditioning Accelerates Language Model Pre-training Authors: Tianyu Gao; Alexander Wettig; Luxi He; Yihe Dong; Sadhika Malladi; Danqi Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language models; pre-training; metadata conditioning; acceleration; URLs
1526	Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Authors: Tianci Liu; Ruirui Li; Zihan Dong; Hui Liu; Xianfeng Tang; Qingyu Yin; Linjun Zhang; Haoyu Wang; Jing Gao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Knowledge Editing; Large Language Models
1527	Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer Authors: Yilong Chen; Junyuan Shang; Zhenyu Zhang; Jiawei Sheng; Tingwen Liu; Shuohuan Wang; Yu Sun; Hua Wu; Haifeng Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Transformer; Efficient Model; Conditional Activation; Hidden-dimension Sparsity
1528	MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition Authors: Wei Li; Lujun Li; Hao Gu; You-Liang Huang; Mark G. Lee; Shengjie Sun; Wei Xue; Yike Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture of Experts; Efficient Large Language Models; Low-Rank Decomposition; Network Sparsity
1529	MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance Authors: Zhixuan Chen; Xing Hu; Dawei Yang; Zukang Xu; XUCHEN; Zhihang Yuan; Sifan Zhou; JiangyongYu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture of Expert; Large Language Models; Quantization
1530	MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles Authors: Jing Han; Binwei Yan; Tianyu Guo; Zheyuan Bai; Mengyu Zheng; Hanting Chen; Ying Nie Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLMs; Agent; Mixture-of-Roles
1531	Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence Authors: Shangbin Feng; Zifeng Wang; Yike Wang; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfis… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: evolutionary algorithm; model adaptation; swarm intelligence
1532	Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering Authors: Zihan Song; Xin Wang; Zi Qian; Hong Chen; Longtao Huang; Hui Xue; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Video Question Answering; Multimodal LLM; Modular Network; Self-reflected Training
1533	MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design Authors: Haojie Duanmu; Xiuhong Li; Zhihang Yuan; Size Zheng; Jiangfei Duan; Xingcheng Zhang; Dahua Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Quantization; Mixture-of-Expert; LLMs; Efficiency
1534	NExtLong: Toward Effective Long-Context Training without Long Documents Authors: Chaochen Gao; Xing W; Zijia Lin; Debing Zhang; Songlin Hu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Long-Context Model; Synthetic Data
1535	NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric Authors: Jingtan Wang; Xiaoqiang Lin; Rui Qiao; Pang Wei Koh; Chuan-Sheng Foo; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: data selection; data curation; instruction tuning; large language models
1536	Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity Authors: Atefeh Sohrabizadeh; Jialin Song; Mingjie Liu; Rajarshi Roy; Chankyu Lee; Jonathan Raiman; Bryan Catanzaro Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Coding assistant; code embedding model; localization agent; SWE-bench; prompt design; contextual information; multi-LLM; multi-prompt
1537	NestQuant: nested lattice quantization for matrix products and LLMs Authors: Semyon Savkin; Eitan Porat; Or Ordentlich; Yury Polyanskiy Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; quantization
1538	Neutral residues: revisiting adapters for model extension Authors: Franck SIGNE TALLA; Edouard Grave; Herve Jegou Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Adapters; Domain Adaptation; Catastrophic Forgetting
1539	NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits Authors: Tushar Aggarwal; Swayam Singh; Abhijeet Awasthi; Aditya Kanade; Nagarajan Natarajan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Code-LMs; code-editing; code-generation; software engineering
1540	NoLiMa: Long-Context Evaluation Beyond Literal Matching Authors: Ali Modarressi; Hanieh Deilamsalehy; Franck Dernoncourt; Trung Bui; Ryan A. Rossi; Seunghyun Yoon; Hinrich Schuetze Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Long-context; Context length evaluation; Literal match; Lexical gap
1541	Non-Asymptotic Length Generalization Authors: Thomas Chen; Tengyu Ma; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Length Generalization; Machine Learning Theory
1542	Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference Authors: Shuqing Luo; Pingzhi Li; Jie Peng; Yang Zhao; Yu Cao; Yu Cheng; Tianlong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture-of-Experts; Communication Efficiency; Expert Parallelism
1543	Olica: Efficient Structured Pruning of Large Language Models without Retraining Authors: Jiujun He; Huazhen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model compression; structured pruning; large language models; principle component analysis
1544	OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance Authors: Yongqiang Yao; Jingru Tan; Feizhao Zhang; Jiahao Hu; Yazhe Niu; JinXin; Bo Li; Pengfei Liu; Ruihao Gong; Dahua Lin; Ningyi Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: VLM; Balance Training
1545	On Teacher Hacking in Language Model Distillation Authors: Daniil Tiapkin; Daniele Calandriello; Johan Ferret; Sarah Perrin; Nino Vieillard; Alexandre Rame; Mathieu Blondel Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: knowledge distillation; teacher hacking; language model distillation
1546	On the Duality between Gradient Transformations and Adapters Authors: Lucas Torroba Hennigen; Hunter Lang; Han Guo; Yoon Kim Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: memory; training; gradient descent; pretraining; linear algebra; LLMs; GaLore; LoRA
1547	On the Robustness of Reward Models for Language Model Alignment Authors: Jiwoo Hong; Noah Lee; Eunki Kim; Guijin Son; Woojin Chung; Aman Gupta; Shao Tang; James Thorne Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RLHF; Reward modeling; Over-optimization
1548	On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving Authors: Yeonju Ro; Zhenyu Zhang; Souvik Kundu; Zhangyang Wang; Aditya Akella Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Efficient serving; Linear attention; adaptive inference; dynamic serving
1549	One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs Authors: Yinghui Li; Jiayi Kuang; Haojing Huang; Zhikun Xu; Xinnian Liang; Yi Yu; Wenlian Lu; Yangning Li; Xiaoyu Tan; Chao Qu; Ying Shen; Hai-Tao Zheng; Philip S. Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Mathematical Reasoning
1550	Optimizing Large Language Model Training Using FP4 Quantization Authors: Ruizhe Wang; Yeyun Gong; Xiao Liu; Guoshuai Zhao; Ziyue Yang; Baining Guo; Zheng-Jun Zha; Peng CHENG Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Machine Learning; Quantization; FP4; Quantized Training
1551	Optimizing Temperature for Language Models with Multi-Sample Inference Authors: Weihua Du; Yiming Yang; Sean Welleck Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Inference Time Compute
1552	Optimizing Test-Time Compute via Meta Reinforcement Finetuning Authors: Yuxiao Qu; Matthew Y. R. Yang; Amrith Setlur; Lewis Tunstall; Edward Emanuel Beeching; Ruslan Salakhutdinov; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: meta-RL; test-time compute; information gain; self-correction; LLM optimization; cumulative regret; backtracking
1553	Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference Authors: Jixian Zhou; Fang Dong; Ruijun Huang; Hengjie Cao; Mengyi Chen; Yifeng Yang; Anrui Chen; Mingzhi Dong; Yujiang Wang; Dongsheng Li; David A. Clifton; Qin Lv; Rui Zhu; Chun Zhang; F… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: MoE; Edge Device; Inference Latency; Semantic Space
1554	Organize the Web: Constructing Domains Enhances Pre-Training Data Curation Authors: Alexander Wettig; Kyle Lo; Sewon Min; Hannaneh Hajishirzi; Danqi Chen; Luca Soldaini Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: pre-training; data-centric; data curation; language models
1555	OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference Authors: Seungjun Shin; Jaehoon Oh; Dokwan Oh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language model; attention sink; efficiency
1556	Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling Authors: Hongzhi Huang; Defa Zhu; Banggu Wu; Yutao Zeng; Ya Wang; Qiyang Min; zhou Xun Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Tokenization; Pre-training; Scaling-laws
1557	Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling Authors: Haebin Shin; Lei Ji; Xiao Liu; Yeyun Gong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Knowledge Distillation; Cross-Tokenizer; Vocabulary-agnostic Pretraining; Teacher Guided Language Modeling
1558	Overtrained Language Models Are Harder to Fine-Tune Authors: Jacob Mitchell Springer; Sachin Goyal; Kaiyue Wen; Tanishq Kumar; Xiang Yue; Sadhika Malladi; Graham Neubig; Aditi Raghunathan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: pretraining; finetuning; catastrophic forgetting; transfer learning
1559	PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model Authors: Baijiong Lin; Weisen Jiang; Yuancheng Xu; Hao Chen; Ying-Cong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Alignment; Test-time Alignment; Multi-objective Alignment
1560	PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs Authors: Mauricio Soroco; Jialin Song; Mengzhou Xia; Kye Emond; Weiran Sun; Wuyang Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: AI-for-Math; Large Language Model; Partial Differential Equation
1561	PENCIL: Long Thoughts with Short Memory Authors: Chenxiao Yang; Nathan Srebro; David McAllester; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language models; chain-of-thought
1562	PILAF: Optimal Human Preference Sampling for Reward Modeling Authors: Yunzhen Feng; Ariel Kwiatkowski; Kunhao Zheng; Julia Kempe; Yaqi Duan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; RLHF; Sampling Scheme; Preference Labeling; Optimization
1563	PIPA: Preference Alignment as Prior-Informed Statistical Estimation Authors: Junbo Li; Zhangyang Wang; qiang liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Preference alignment; Prior; Probabilistic estimation; Reasoning
1564	PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS Authors: Hongyi Liu; Rajarshi Saha; Zhen Jia; Youngsuk Park; Jiaji Huang; Shoham Sabach; Yu-Xiang Wang; George Karypis Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Semi-structured sparsity; Large Language Models
1565	Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models Authors: Samira Abnar; Harshay Shah; Dan Busbridge; Alaaeldin El-Nouby; Joshua M. Susskind; Vimal Thilak Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mixture-of-Experts; Scaling Laws
1566	Parrot: Multilingual Visual Instruction Tuning Authors: Hai-Long Sun; Da-Wei Zhou; Yang Li; Shiyin Lu; Chao Yi; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; De-Chuan Zhan; Han-Jia Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Multilingual MLLM; Mixture-of-Experts
1567	Perception in Reflection Authors: Yana Wei; Liang Zhao; Kangheng Lin; En Yu; Yuang Peng; Runpei Dong; Jianjian Sun; Haoran Wei; Zheng Ge; Xiangyu Zhang; Vishal M. Patel Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Perception; Reflection; LVLMs
1568	Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying Authors: Songlin Zhai; Yuan Meng; Yongrui Chen; Yiwei Wang; Guilin Qi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Memory Augmentation for LLMs; Knowledge-based Model Editing; Large Language Models
1569	Persistent Topological Features in Large Language Models Authors: Yuri Gardinazzi; Karthik Viswanathan; Giada Panerai; Alessio ansuini; Alberto Cazzaniga; Matteo Biagetti Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Topological Data Analysis; Persistent Homology; Large Language Models; Internal Representations; Layer Pruning
1570	PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation Authors: Albert Gong; Kamilė Stankevičiūtė; Chao Wan; Anmol Kabra; Raphael Thesmar; Johann Lee; Julius Klenke; Carla P Gomes; Kilian Q Weinberger Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: logical reasoning; information retrieval; data memorization; data leakage; LLM evaluation; retrieval-augmented generation; agentic workflows; LLM agents; multi…
1571	Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models Authors: Jialin Zhao; Yingtao Zhang; Carlo Vittorio Cannistraci Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Post-training Model Compression; Post-Training Pruning; Inference Acceleration
1572	Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks Authors: Lutfi Eren Erdogan; Nicholas Lee; Sehoon Kim; Suhong Moon; Hiroki Furuta; Gopala Anumanchipalli; Kurt Keutzer; Amir Gholami Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Agents; Web Agents; Planning
1573	PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data Authors: Tingchen Fu; Mrinank Sharma; Philip Torr; Shay B Cohen; David Krueger; Fazl Barez Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: backdoor attack; data poisoning; preference learning
1574	Policy Guided Tree Search for Enhanced LLM Reasoning Authors: Yang Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM Reasoning; Tree Search; Reinforcement Learning
1575	Potemkin Understanding in Large Language Models Authors: Marina Mancoridis; Bec Weeks; Keyon Vafa; Sendhil Mullainathan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: evaluation; benchmark; large language models; potemkin understanding
1576	Predictive Data Selection: The Data That Predicts Is the Data That Teaches Authors: KaShun SHUM; Yuzhen Huang; Hongjian Zou; dingqi; YiXuan Liao; Xiaoxin Chen; Qian Liu; Junxian He Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Pretraining Data Selection; Efficient Pretraining
1577	Preference Adaptive and Sequential Text-to-Image Generation Authors: Ofir Nabati; Guy Tennenholtz; ChihWei Hsu; Moonkyung Ryu; Deepak Ramachandran; Yinlam Chow; Xiang Li; Craig Boutilier Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: text-to-image generation; reinforcement learning; diffusion models; multi-modal large language models; human-in-the-loop; sequential decision making
1578	Preference Learning for AI Alignment: a Causal Perspective Authors: Kasia Kobalczyk; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Preference learning; alignment; reward modelling; causality; robustness; confounding; heterogeneity
1579	Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs Authors: Sagnik Mukherjee; Abhinav Chinta; Takyoung Kim; Tarun Anoop Sharma; Dilek Hakkani Tur Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Mathematical Reasoning; Large Language Models
1580	Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Authors: Chengqian Gao; Haonan Li; Liu Liu; Zeke Xie; Peilin Zhao; zhiqiang xu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: alignment; data difficulty; large language models
1581	ProSec: Fortifying Code LLMs with Proactive Security Alignment Authors: Xiangzhe Xu; Zian Su; Jinyao Guo; Kaiyuan Zhang; Zhenting Wang; Xiangyu Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: code language model; code generation safety; alignment training
1582	Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective Authors: Daniel Franzen; Jan Disselhoff; David Hartmann Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Abstraction and Reasoning Corpus (ARC); ARC-AGI; Large Language Models; Product-of-Experts; Search-based Methods; Test-Time Training; Data Augmentation; Abstra…
1583	Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale Authors: Fan Zhou; Zengzhi Wang; Qian Liu; Junlong Li; Pengfei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Pre-training; Data Refinement; Data Engineering
1584	Progressively Label Enhancement for Large Language Model Alignment Authors: Biao Liu; Ning Xu; Xin Geng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Model Alignment
1585	ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis Authors: Haoxiong Liu; Jiacheng Sun; Zhenguo Li; Andrew C Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Neural Theorem Proving; Large Language Models
1586	Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents Authors: Yifei Zhou; Qianlan Yang; Kaixiang Lin; Min Bai; Xiong Zhou; Yu-Xiong Wang; Sergey Levine; Li Erran Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Web agents; LLM Agents; Autonomous skill discovery
1587	Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction Authors: Harit Vishwakarma; Alan Mishler; Thomas Cook; Niccolo Dalmasso; Natraj Raman; Sumitra Ganesh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Conformal Prediction; Uncertainty Quantification; Prompting; MCQ; Tool Learning; Agentic AI; Test-time Scaling
1588	Puzzle: Distillation-Based NAS for Inference-Optimized LLMs Authors: Akhiad Bercovich; Tomer Ronen; Talor Abramovich; Nir Ailon; Nave Assaf; Mohammed Dabbah; Ido Galil; Amnon Geifman; Yonatan Geifman; Izhak Golan; Netanel Haber; Ehud Dov Karpas; Ro… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Neural Architecture Search with Distillation; Architecture Designed for Efficient Inference; Blockwise local Distillation; Hardware-Awar…
1589	QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Authors: Zongyu Lin; Yao Tang; Xingcheng Yao; Da Yin; Ziniu Hu; Yizhou Sun; Kai-Wei Chang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Agent; process reward model
1590	Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models Authors: Hung-Yueh Chiang; Chi-Chih Chang; Natalia Frumkin; Kai-Chiang Wu; Mohamed S. Abdelfattah; Diana Marculescu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: State Space Models; Model quantization
1591	QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache Authors: Rishabh Tiwari; Haocheng Xi; Aditya Tomar; Coleman Richard Charles Hooper; Sehoon Kim; Maxwell Horton; Mahyar Najibi; Michael W. Mahoney; Kurt Keutzer; Amir Gholami Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: speculative decoding; quantization; long-context inference
1592	R.I.P.: Better Models by Survival of the Fittest Prompts Authors: Ping Yu; Weizhe Yuan; Olga Golovneva; Tianhao Wu; Sainbayar Sukhbaatar; Jason E Weston; Jing Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Data Filtering; Preference Optimization; Synthetic Data
1593	RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals Authors: David Reber; Sean M Richardson; Todd Nief; Cristina Garbacea; Victor Veitch Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Explainable AI; Counterfactual Explanations; Causal Inference; Alignment; Large Language Model; NLP
1594	RLTHF: Targeted Human Feedback for LLM Alignment Authors: Yifei Xu; Tusher Chakraborty; Emre Kiciman; Bibek Aryal; Srinagesh Sharma; Songwu Lu; Ranveer Chandra Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RLHF; Reward Modeling
1595	ROPO: Robust Preference Optimization for Large Language Models Authors: Xize Liang; Chao Chen; Shuang Qiu; Jie Wang; Yue Wu; Zhihang Fu; Hanzhu Chen; Feng Wu; Jieping Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: noise tolerance; large language models; preference optimization
1596	RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning Authors: Jason Chan; Robert J. Gaizauskas; Zhixue Zhao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reasoning; logic; human-like reasoning; cognitive science; large language models
1597	RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Authors: XUCHEN; Yuxuan Yue; Zukang Xu; Xing Hu; JiangyongYu; Zhixuan Chen; Sifan Zhou; Zhihang Yuan; Dawei Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RWKV; Quantization
1598	ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification Authors: Hyunseok Lee; Seunghyuk Oh; Jaehyung Kim; Jinwoo Shin; Jihoon Tack Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Self-correct; Test-time compute; Large Language Model; Self-verify; Self-awareness
1599	Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation Authors: Zhuohao Yu; Weizheng Gu; Yidong Wang; Xingru Jiang; Zhengran Zeng; Jindong Wang; Wei Ye; Shikun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Code Generation; Process Supervision; Reasoning; Reward Models; Inference-Time Scaling; Large Language Models
1600	Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Authors: Cheryl Li; Tianyuan Xu; Steven Y. Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; LLMs; reasoning; code generation
1601	Reflection-Window Decoding: Text Generation with Selective Refinement Authors: Zeyu Tang; Zhenhao Chen; Xiangchen Song; Loka Li; Yunlong Deng; Yifan Shen; Guangyi Chen; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Autogressive Decoding; Text Generation; Reflection Window; Selective Refinement; Large Language Model
1602	Regress, Don't Guess: A Regression-like Loss on Number Tokens for Language Models Authors: Jonas Zausinger; Lars Pennig; Anamarija Kozina; Sean Sdahl; Julian Sikora; Adrian Dendorfer; Timofey Kuznetsov; Mohamad Hagog; Nina Wiedemann; Kacper Chlodny; Vincent Limbach; Ann… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language models; mathematical reasoning; arithmetics; number representation; number token loss
1603	Reinforce LLM Reasoning through Multi-Agent Reflection Authors: Yurun Yuan; Tengyang Xie Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Post-training; LLM-based multi-agents; Reinforcement learning; Mathematical reasoning
1604	Reinforced Lifelong Editing for Language Models Authors: Zherui Li; Houcheng Jiang; Hao Chen; Baolong Bi; Zhenhong Zhou; Fei Sun; Junfeng Fang; Xiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model Editing; Meta-learning; Large Language Model
1605	Reliable and Efficient Amortized Model-based Evaluation Authors: Sang T. Truong; Yuheng Tu; Percy Liang; Bo Li; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model Evaluation; Amortization; Adaptive Testing
1606	Residual Matrix Transformers: Scaling the Size of the Residual Stream Authors: Brian Mak; Jeffrey Flanigan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: transformer models; deep learning; neural network architectures; efficient language modeling
1607	Resolving Lexical Bias in Model Editing Authors: Hammad Rizwan; Domenic Rosati; Ga Wu; Hassan Sajjad Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model Editing; Contrastive Learning; Representation Learning
1608	Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Authors: Jiancong Xiao; Bojian Hou; Zhanliang Wang; Ruochen Jin; Qi Long; Weijie J Su; Li Shen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Calibration; Fine-Tuning
1609	Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding Authors: Jiajun Zhu; Peihao Wang; Ruisi Cai; Jason D. Lee; Pan Li; Zhangyang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Positional Encoding; Large Language Models; Equivariant Machine Learning
1610	Rethinking Chain-of-Thought from the Perspective of Self-Training Authors: Zongqian Wu; Baoduo Xu; Ruochen Cui; Mengmeng Zhan; Xiaofeng Zhu; Lei Feng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Chain-of-Thought; Self-Training; Reasoning; LLM
1611	Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning Authors: Zeyu Gan; Yun Liao; Yong Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; test-time scaling; information theory
1612	Retraining-free Merging of Sparse MoE via Hierarchical Clustering Authors: I-Chun Chen; Hsu-Shen Liu; Wei-Fang Sun; Chen-Hao Chao; Yen-Chang Hsu; Chun-Yi Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Sparse Mixture-of-Experts; Merging; Compression
1613	Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks Authors: Yixin Cheng; Hongcheng Guo; Yangming Li; Leonid Sigal Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM watermark; robustness; privacy and societal considerations
1614	Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding? Authors: Ren-Biao Liu; Anqi Li; Chaoding Yang; Hui Sun; Ming Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Code Generation; Supervised Fine-Tuning; Chain of thought; CodeLLM
1615	Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization Authors: Peiyan Zhang; Haibo Jin; Leyang Hu; Xinnuo Li; Liying Kang; Man Luo; Yangqiu Song; Haohan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Response Evolution; Textual Optimization
1616	Reward Modeling with Ordinal Feedback: Wisdom of the Crowd Authors: Shang Liu; Yu Pan; Guanting Chen; Xiaocheng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reward modeling; ordinal feedback; human preference learning
1617	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs Authors: Shenao Zhang; Zhihan Liu; Boyi Liu; Yufeng Zhang; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Alignment; RLHF; LLM
1618	Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs Authors: Ziyu Ye; Rishabh Agarwal; Tianqi Liu; Rishabh Joshi; Sarmishta Velury; Quoc V Le; Qijun Tan; Yuan Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models
1619	Reward-Guided Speculative Decoding for Efficient LLM Reasoning Authors: Baohao Liao; Yuhui Xu; Hanze Dong; Junnan Li; Christof Monz; Silvio Savarese; Doyen Sahoo; Caiming Xiong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language models; Process reward model; Speculative decoding
1620	Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift Authors: Seongho Son; William Bankes; Sayak Ray Chowdhury; Brooks Paige; Ilija Bogunovic Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; fine-tuning; DPO; non-stationarity; preference drift; RLHF
1621	RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models Authors: Quan Wei; Chung-Yiu Yau; Hoi To Wai; Yang Zhao; Dongyeop Kang; Youngsuk Park; Mingyi Hong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: model quantization; quantization-aware training; fine-tuning; large language models
1622	Robust Multimodal Large Language Models Against Modality Conflict Authors: Zongmeng Zhang; Wengang Zhou; Jie Zhao; Houqiang Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Multimodal Large Language Models; Modality Conflict; Hallucinations; Reinforcement Learning; Robustness
1623	RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF Authors: Xiaomin Li; Mingye Gao; Zhiwei Zhang; Jingxuan Fan; Weiyu Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; reward model; RLHF; safety alignment
1624	SIMPLEMIX: Frustratingly Simple Mixing of Off- and On-policy Data in Language Model Preference Learning Authors: Tianjian Li; Daniel Khashabi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Models; Alignment; Preference Optimization; RLHF
1625	SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services Authors: Hongcheng Guo; wangyue; Shaosheng Cao; Fei zhao; Boyang Wang; Lei Li; Liang Chen; Xinze Lyu; Zhe Xu; Yao Hu; Zhoujun Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Benchmark; Social Network Services; Large Language Models
1626	STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving Authors: Kefan Dong; Tengyu Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: formal theorem proving; AI for math; self-play; large language model; reasoning; reinforcement learning
1627	Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets Authors: Ning Lu; Shengcai Liu; Jiahao Wu; Weiyu Chen; Zhirui Zhang; Yew-Soon Ong; Qi Wang; Ke Tang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Fine-tuning Safety; Jailbreak Defense
1628	SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models Authors: Jiawei Zhang; Xuan Yang; Taiqi Wang; Yu Yao; Aleksandr Petiushko; Bo Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Autonomous Driving; Multimodal Large Language Models; Multimodal Retrieval-Augmented Generation; Probabilistic Graph Model; Markov Logic Network
1629	Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification Authors: Eric Zhao; Pranjal Awasthi; Sreenivas Gollapudi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reasoning; search; verification
1630	Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search Authors: Maohao Shen; Guangtao Zeng; Zhenting Qi; Zhang-Wei Hong; Zhenfang Chen; Wei Lu; Gregory W. Wornell; Subhro Das; David Daniel Cox; Chuang Gan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reasoning; self-improvement; large language model; post-training; reinforcement learning
1631	Scaling Inference-Efficient Language Models Authors: Song Bian; Minghao Yan; Shivaram Venkataraman Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Scaling Laws; Inference; Language Models
1632	Scaling Laws for Floating–Point Quantization Training Authors: Xingwu Sun; Shuaipeng Li; Ruobing Xie; Weidong Han; Kan Wu; Zhen Yang; Yixing Li; An Wang; SHUAI LI; Jinbao Xue; Yu Cheng; Yangyu Tao; Zhanhui Kang; Cheng-zhong Xu; Di Wang; Jie J… Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Floating-point quantization; Scaling law; Training performance
1633	Scaling Laws for Upcycling Mixture-of-Experts Language Models Authors: Seng Pei Liew; Takuya Kato; Sho Takase Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: language modeling; mixture of experts; scaling law; upcycling
1634	Scaling Sparse Feature Circuits For Studying In-Context Learning Authors: Dmitrii Kharlapenko; Stepan Shabalin; Arthur Conmy; Neel Nanda Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: SAE; ICL; SFC; Interpretability; Gemma; LLM; Mechanistic Interpretability; Sparse Autoencoders; Circuits
1635	Self-Consistency Preference Optimization Authors: Archiki Prasad; Weizhe Yuan; Richard Yuanzhe Pang; Jing Xu; Maryam Fazel-Zarandi; Mohit Bansal; Sainbayar Sukhbaatar; Jason E Weston; Jane Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Self-Alignment; Unsupervised and Semi-supervised Reasoning; Iterative Training
1636	Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI Authors: Julien Pourcel; Cédric Colas; Pierre-Yves Oudeyer Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Program synthesis; Self-Improvement; Search; ARC; LLM
1637	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models Authors: Yung-Sung Chuang; Benjamin Cohen-Wang; Zejiang Shen; Zhaofeng Wu; Hu Xu; Xi Victoria Lin; James R. Glass; Shang-Wen Li; Wen-tau Yih Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; LLMs; Alignment; Preference Optimization; Context Attribution; Citation
1638	SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator Authors: Guoxuan Chen; Han Shi; Jiawei Li; Yihang Gao; Xiaozhe Ren; Yimeng Chen; Xin Jiang; Zhenguo Li; Weiyang Liu; Chao Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Language Modeling; Attention Mechanisms; LLM Architecture; Sparse Attention; KV Cache Compression
1639	SkipGPT: Each Token is One of a Kind Authors: Anhao Zhao; Fanghua Ye; Yingqi Fan; Junlong Tong; Jing Xiong; Zhiwei Fei; Hui Su; Xiaoyu Shen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: compression; pruning; layer skipping; efficiency; large language models; model optimization
1640	SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models Authors: Wei Huang; Haotong Qin; Yangdong Liu; Yawei Li; Qinshuo Liu; Xianglong Liu; Luca Benini; Michele Magno; Shiming Zhang; XIAOJUAN QI Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Low-bit Quantization; Machine Learning; Mixed-Precision
1641	SlimLLM: Accurate Structured Pruning for Large Language Models Authors: Jialong Guo; Xinghao Chen; Yehui Tang; Yunhe Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: structure pruning; large language models; machine learning
1642	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity Authors: Samir Khaki; Xiuyu Li; Junxian Guo; Ligeng Zhu; Konstantinos N. Plataniotis; Amir Yazdanbakhsh; Kurt Keutzer; Song Han; Zhijian Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; efficient fine-tuning; sparsity; peft
1643	Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Authors: Yuqi Luo; Chenyang Song; Xu Han; Yingfa Chen; Chaojun Xiao; Xiaojun Meng; Liqun Deng; Jiansheng Wei; Zhiyuan Liu; Maosong Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: activation sparsity; large language model
1644	SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs Authors: Shibo Jie; Yehui Tang; Kai Han; Zhi-Hong Deng; Jing Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Key-Value Cache; Large Language Models
1645	Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Authors: Ziyao Wang; Muneeza Azmat; Ang Li; Raya Horesh; Mikhail Yurochkin Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large language model; Knowledge fusion; Speculative decoding
1646	Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation Authors: Jingyu Liu; Beidi Chen; Ce Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Inference Acceleration; TTFT; Large Language Model; Efficient Inference
1647	Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models Authors: Yangxu Liao; Wenke Huang; Guancheng Wan; Jian Liang; Bin Yang; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Federated learning
1648	Steer LLM Latents for Hallucination Detection Authors: Seongheon Park; Xuefeng Du; Min-Hsuan Yeh; Haobo Wang; Yixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: hallucination detection
1649	Streamline Without Sacrifice - Squeeze out Computation Redundancy in LMM Authors: Penghao Wu; Lewei Lu; Ziwei Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Multimodal Model; Multimodal Large Language Model; Large Multimodal Model Acceleration
1650	Structure-Guided Large Language Models for Text-to-SQL Generation Authors: Qinggang Zhang; Hao Chen; Junnan Dong; Shengyuan Chen; Feiran Huang; Xiao Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Text-to-SQL; large language model; structure learning
1651	Synthetic Text Generation for Training Large Language Models via Gradient Matching Authors: Dang Nguyen; Zeman Li; Mohammadhossein Bateni; Vahab Mirrokni; Meisam Razaviyayn; Baharan Mirzasoleiman Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Synthetic data; Large language models; Gradient matching; ADMM
1652	T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling Authors: Zhenyu Hou; Xin Lv; Rui Lu; Jiajie Zhang; Yujiang Li; Zijun Yao; Juanzi Li; Jie Tang; Yuxiao Dong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Language Model Reasoning; Reinforcement Learning
1653	TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization Authors: Mingkang Zhu; Xi Chen; Zhongdao Wang; Bei Yu; Hengshuang Zhao; Jiaya Jia Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Preference Optimization
1654	Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision Authors: Li Shen; Anke Tang; Yong Luo; Tao Sun; Han Hu; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Pruning; Large Language Model; Model Compression
1655	Teaching Language Models to Critique via Reinforcement Learning Authors: Zhihui Xie; Jie chen; Liyu Chen; Weichao Mao; Jingjing Xu; Lingpeng Kong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLMs; learning to critique; generative reward models; reinforcement learning
1656	Teaching Physical Awareness to LLMs through Sounds Authors: Weiguo Wang; Andy Nie; Wenrui Zhou; Yi Kai; Chengchen Hu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Physical World Understanding; Audio; Spatial Audio; Acoustic Channel Simulation
1657	Teaching Transformers Causal Reasoning through Axiomatic Training Authors: Aniket Vashishtha; Abhinav Kumar; Atharva Pandey; Abbavaram Gowtham Reddy; Kabir Ahuja; Vineeth N. Balasubramanian; Amit Sharma Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Causality; Axioms; Transformers; Reasoning; Generalization
1658	Test-Time Learning for Large Language Models Authors: Jinwu Hu; Zitian Zhang; Guohao Chen; Xutao Wen; Chao Shuai; Wei Luo; Bin Xiao; Yuanqing Li; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Test-Time Learning
1659	Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Authors: Yafu Li; Xuyang Hu; Xiaoye Qu; Linjie Li; Yu Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: preference alignment; inference-time scaling
1660	The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models Authors: Shishir G Patil; Huanzhi Mao; Fanjia Yan; Charlie Cheng-Jie Ji; Vishnu Suresh; Ion Stoica; Joseph E. Gonzalez Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Function Calling Evaluation; Tool use; Agentic Evaluation; Large Language Models
1661	The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph Authors: Minghao Wu; Thuy-Trang Vu; Lizhen Qu; Gholamreza Haffari Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Data Selection
1662	The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Authors: Matthieu Meeus; Lukas Wutschitz; Santiago Zanella-Beguelin; Shruti Tople; Reza Shokri Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: privacy; language models; synthetic data
1663	The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination Authors: Yifan Sun; Han Wang; Dongbai Li; Gang Wang; Huan Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Data Contamination; Large Language Models; Evaluation
1664	The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking Authors: Yuchun Miao; Sen Zhang; Liang Ding; Yuqi Zhang; Lefei Zhang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Reward Hacking; Reward Overoptimization; Reinforcement Learning from Human Feedback; Large Language Models
1665	The Geometry of Refusal in Large Language Models: Concept Cones and Representational Independence Authors: Tom Wollschläger; Jannes Elstner; Simon Geisler; Vincent Cohen-Addad; Stephan Günnemann; Johannes Gasteiger Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Refusal directions; Large Language Model; Activation Steering; Interpretability; Representation Engineering; Probing; Causality; Interventions
1666	The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions Authors: Wenbo Pan; Zhichao Liu; Qiguang Chen; Xiangyang Zhou; Yu Haining; Xiaohua Jia Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Safety Alignment; Mechanistic Interpretation
1667	The Missing Alignment Link of In-context Learning on Sequences Authors: Harshvardhan Agarwal; Sunita Sarawagi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Model adaptation; few-shot learning; sequence to sequence learning; understanding in-context learning in LLMs
1668	The Surprising Effectiveness of Test-Time Training for Few-Shot Learning Authors: Ekin Akyürek; Mehul Damani; Adam Zweiger; Linlu Qiu; Han Guo; Jyothish Pari; Yoon Kim; Jacob Andreas Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Test-Time Training; In-Context Learning; Few-Shot Learning; ARC; BIG-Bench Hard
1669	Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization Authors: Zishun Yu; Tengyu Xu; Di Jin; Karthik Abinav Sankararaman; Yun He; Wenxuan Zhou; Zhouhao Zeng; Eryk Helenowski; Chen Zhu; Sinong Wang; Hao Ma; Han Fang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; reasoning; inference compute management; reinforcement learning
1670	Thinking LLMs: General Instruction Following with Thought Generation Authors: Tianhao Wu; Janice Lan; Weizhe Yuan; Jiantao Jiao; Jason E Weston; Sainbayar Sukhbaatar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: thought generation; CoT; preference learning; RL
1671	To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models Authors: Anna Hedström; Salim I. Amoukou; Tom Bewley; Saumitra Mishra; Manuela Veloso Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: mechanistic steering; intervention; error mitigation; language models
1672	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning Authors: DiJia Su; Hanlin Zhu; Yingchen Xu; Jiantao Jiao; Yuandong Tian; Qinqing Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM reasoning; LLM planning; Latent reasoning; Chain of Thought in Latent Tokens
1673	Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning Authors: Jinlong Pang; Na Di; Zhaowei Zhu; Jiaheng Wei; Hao Cheng; Chen Qian; Yang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Supervised Fine-tuning; Data Selection; Token Cleaning
1674	Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models Authors: Peijie Liu; Fengli Xu; Yong Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Chain-of-Thought; Reasoning; Token Probability
1675	TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation Authors: Tong Wu; Junzhe Shen; Zixia Jia; Yuxuan Wang; Zilong Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Lossless Acceleration; Ultra-Long Sequence Generation
1676	Towards Cost-Effective Reward Guided Text Generation Authors: Ahmad Rashid; Ruotian Wu; Rongqi Fan; Hongliang Li; Agustinus Kristiadi; Pascal Poupart Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; RLHF; Alignment; Model Efficiency; Reward Models; Sampling
1677	Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond Authors: Chongyu Fan; Jinghan Jia; Yihua Zhang; Anil Ramakrishna; Mingyi Hong; Sijia Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Machine Unlearning; Robustness; Relearning Attack
1678	Towards Lifelong Model Editing via Simulating Ideal Editor Authors: Yaming Guo; Siyang Guo; Hengshu Zhu; Ying Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Lifelong Model Editing; Linear System; Large Language Model
1679	Training Software Engineering Agents and Verifiers with SWE-Gym Authors: Jiayi Pan; Xingyao Wang; Graham Neubig; Navdeep Jaitly; Heng Ji; Alane Suhr; Yizhe Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Agents; Software Engineering Agents; Post-training
1680	TruthFlow: Truthful LLM Generation via Representation Flow Correction Authors: Hanyu Wang; Bochuan Cao; Yuanpu Cao; Jinghui Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Hallucination; Representation Intervention; Flow Matching
1681	TuCo: Measuring the Contribution of Fine-Tuning to Individual Responses of LLMs Authors: Felipe Pinto Coelho Nuti; Tim Franzmeyer; Joao F. Henriques Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Interpretability; AI Safety
1682	Tuning LLM Judge Design Decisions for 1/1000 of the Cost Authors: David Salinas; Omar Swelam; Frank Hutter Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM judge; LLM evaluation; hyperparameter optimization; multi-fidelity; multi-objective optimization
1683	UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning Authors: Jiawei Zhang; Shuang Yang; Bo Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: adversarial attack; llm agent; jailbreak; reasoning and acting
1684	UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Authors: Xin Xu; Qiyun Xu; Tong Xiao; Tianhao Chen; Yuchen Yan; Jiaxin ZHANG; Shizhe Diao; Can Yang; Yang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; benchmark and dataset; physics reasoning
1685	Unbiased Evaluation of Large Language Models from a Causal Perspective Authors: Meilin Chen; Jian Tian; Liang Ma; Di Xie; Weijie Chen; Jiang Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Agents-as-an-Evaluator; LLM Evaluation; Evaluation Bias
1686	Understanding Chain-of-Thought in LLMs through Information Theory Authors: Jean-Francois Ton; Muhammad Faaiz Taufiq; Yang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Chain-of-Thought; Information Theory
1687	Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Authors: Changdae Oh; Zhen Fang; Shawn Im; Xuefeng Du; Yixuan Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: multimodal large language models; distribution shifts; robustness; trustworthy AI
1688	Understanding Synthetic Context Extension via Retrieval Heads Authors: Xinyu Zhao; Fangcong Yin; Greg Durrett Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Synthetic Data; Long Context; Retrieval Heads
1689	Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism Authors: Aviv Bick; Eric P. Xing; Albert Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Transformers; Mamba; MMLU; In-context-Learning; mechanistic-interpretability
1690	Unlocking Post-hoc Dataset Inference with Synthetic Data Authors: Bihe Zhao; Pratyush Maini; Franziska Boenisch; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; dataset inference; synthetic data
1691	Unnatural Languages Are Not Bugs but Features for LLMs Authors: Keyu Duan; Yiran Zhao; Zhili Feng; Jinjie Ni; Tianyu Pang; Qian Liu; Tianle Cai; Longxu Dou; Kenji Kawaguchi; Anirudh Goyal; J Zico Kolter; Michael Qizhe Shieh Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Unnatural Languages; Large Language Models
1692	VinePPO: Refining Credit Assignment in RL Training of LLMs Authors: Amirhossein Kazemnejad; Milad Aghajohari; Eva Portelance; Alessandro Sordoni; Siva Reddy; Aaron Courville; Nicolas Le Roux Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: RL for LLM; Verifiable Rewards; Credit Assignment
1693	Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Authors: Liang CHEN; Xueting Han; Li Shen; Jing Bai; Kam-Fai Wong Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: large language models; robustness; safety alignment; harmful Fine-tuning; forgetting; group distributionally robust optimization; balance learning; ai safety
1694	What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? Authors: Katie Kang; Amrith Setlur; Dibya Ghosh; Jacob Steinhardt; Claire Tomlin; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: reasoning; generalization; memorization
1695	What Limits Bidirectional Model's Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning Authors: Zuchao Li; Yonghua Hei; Qiwei Li; Lefei Zhang; Ping Wang; hai zhao; Baoyuan Qi; Liu Guoming Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Model; Bidirectional Modeling; Causal Attention
1696	What Makes In-context Learning Effective for Mathematical Reasoning Authors: Jiayu Liu; Zhenya Huang; Chaokun Wang; Xunpeng Huang; ChengXiang Zhai; Enhong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: In context learning; Large Language Models
1697	When Bad Data Leads to Good Models Authors: Kenneth Li; Yida Chen; Fernanda Viégas; Martin Wattenberg Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Toxicity
1698	Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? Authors: Rylan Schaeffer; Hailey Schoelkopf; Brando Miranda; Gabriel Mukobi; Varun Madan; Adam Ibrahim; Herbie Bradley; Stella Biderman; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: evaluations; benchmarks; scaling laws; emergent abilities; capabilities; frontier models; foundation models
1699	Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas Authors: Shiqi Chen; Tongyao Zhu; Ruochen Zhou; Jinghan Zhang; Siyang Gao; Juan Carlos Niebles; Mor Geva; Junxian He; Jiajun Wu; Manling Li Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Interpretability; Attention mechanism; VLM; Spatial Reasoning
1700	WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs Authors: Lukas Thede; Karsten Roth; Matthias Bethge; Zeynep Akata; Thomas Hartvigsen Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Knowledge Editing; Lifelong Learning
1701	XAttention: Block Sparse Attention with Antidiagonal Scoring Authors: Ruyi Xu; Guangxuan Xiao; Haofeng Huang; Junxian Guo; Song Han Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Large Language Models; Efficiency
1702	ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning Authors: Bill Yuchen Lin; Ronan Le Bras; Kyle Richardson; Ashish Sabharwal; Radha Poovendran; Peter Clark; Yejin Choi Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; Reasoning; Scaling
1703	any4: Learned 4-bit Numeric Representation for LLMs Authors: Mostafa Elhoushi; Jeff Johnson Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: Quantization; Compression; Acceleration
1704	polybasic Speculative Decoding Through a Theoretical Perspective Authors: Ruilin Wang; Huixia Li; Yuexiao Ma; Xiawu Zheng; Fei Chao; Xuefeng Xiao; Rongrong Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: speculative decoding
1705	video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model Authors: Guangzhi Sun; Yudong Yang; Jimin Zhuang; Changli Tang; Yixuan Li; Wei Li; Zejun MA; Chao Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: audio-visual; chain-of-thought reasoning; large language models; process reward model; direct preference optimization
1706	xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference Authors: Maximilian Beck; Korbinian Pöppel; Phillip Lippe; Richard Kurle; Patrick M Blies; Günter Klambauer; Sebastian Böck; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: xLSTM; LLM; inference; inference time; inference speed; Transformer
1707	µnit Scaling: Simple and Scalable FP8 LLM Training Authors: Saaketh Narayan; Abhay Gupta; Mansheej Paul; Davis Blalock Affiliation: 官方页面未列出 Official area / track: deep_learning->large_language_models Recognition: Poster/Regular Keywords: LLM; FP8; Transformer; Model Training; Attention
1708	\texttt{I^2MoE}: Interpretable Multimodal Interaction-aware Mixture-of-Experts Authors: Jiayi Xin; Sukwon Yun; Jie Peng; Inyoung Choi; Jenna L. Ballard; Tianlong Chen; Qi Long Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Mixture of Experts; Biomedical Analysis
1709	A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing Authors: Yu Chen; Jing Lian; Zhaofei Yu; Jizhao Liu; Jisheng Dang; Gang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Event Camera; Object Classification; Continuous-coupled Neural Network.
1710	Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Authors: Nico Pelleriti; Max Zimmer; Elias Samuel Wirth; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: neural network; manifold hypothesis; vanishing ideal; polynomials; latent space; computational algebra
1711	Canonical Rank Adaptation: An Efficient Fine-Tuning Strategy for Vision Transformers Authors: Lokesh Veeramacheneni; Moritz Wolter; Hilde Kuehne; Juergen Gall Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: CaRA; Canonical Polyadic Decomposition; CPD; Tensor methods; ViT; LoRA
1712	Contradiction Retrieval via Contrastive Learning with Sparsity Authors: Haike Xu; Zongyu Lin; Kai-Wei Chang; Yizhou Sun; Piotr Indyk Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: contradiction retrieval; sentence embedding
1713	Controllable Data Generation with Hierarchical Neural Representations Authors: Sheyang Tang; Xiaoyu Xu; Jiayan Qiu; Zhou Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: implicit neural representations; diffusion model
1714	Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction Authors: Yinfeng Chen; Jin Liu; Rui Qiu Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: principal support vector machines; neural networks; nonlinear sufficient dimension reduction; nonasymptotic convergence rate
1715	Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering Authors: Yaoqin He; Junchen Fu; Kaiwen Zheng; Songpei Xu; Fuhai Chen; Jie Li; Joemon M. Jose; Xuri Ge Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Efficient Pre-trained Vision-Language Model; Patch Redundancy Filter; Architecture Redundancy Filter
1716	From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection Authors: Lincan Cai; Jingxuan Kang; Shuang Li; Wenxuan Ma; Binhui Xie; Zhida Qin; Jian Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Vision-language models; Attention-Based; Feature selection
1717	GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning Authors: Xiangheng Wang; Ziquan Fang; Chenglong Huang; Danlei Hu; Lu Chen; Yunjun Gao Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Trajectory representation learning; mobility learning; spatio-temporal learning
1718	Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models Authors: Yang Zheng; Wen Li; Zhaoqiang Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: diffusion model; inverse problems
1719	Interpreting CLIP with Hierarchical Sparse Autoencoders Authors: Vladimir Zaigrajew; Hubert Baniecki; Przemyslaw Biecek Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: SAE; CLIP; Interpretability; Matryoshka Representation Learning
1720	Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models Authors: Shizhan Gong; Yankai Jiang; Qi Dou; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: vision-language model; representation learning; CLIP
1721	Learning Input Encodings for Kernel-Optimal Implicit Neural Representations Authors: Zhemin Li; Liyuan Ma; Hongxia Wang; Yaoyun Zeng; Xiaolong Han Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: INRs; Generalization; Encoding; Reconstruction
1722	Mechanistic PDE Networks for Discovery of Governing Equations Authors: Adeel Pervez; Efstratios Gavves; Francesco Locatello Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Differential equations; discovery and inverse problems; AI for science
1723	Multi-band Frequency Reconstruction for Neural Psychoacoustic Coding Authors: Dianwen Ng; Kun Zhou; Yi-Wen Chao; Zhiwei Xiong; Bin Ma; EngSiong Chng Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Neural Audio Codec; Neural Psychoacoustic Codec; Zero-shot TTS; Vector Quantization
1724	Objective drives the consistency of representational similarity across datasets Authors: Laure Ciernik; Lorenz Linhardt; Marco Morik; Jonas Dippel; Simon Kornblith; Lukas Muttenthaler Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: representation learning; factors influencing representational similarities; computer vision; vision foundation models; representational similarity across stimu…
1725	On Zero-Initialized Attention: Optimal Prompt and Gating Factor Estimation Authors: Nghiem Tuong Diep; Huy Nguyen; Chau Nguyen; Minh Le; Duy Minh Ho Nguyen; Daniel Sonntag; Mathias Niepert; Nhat Ho Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Large Language Model (LLM); Theory; Instruction Tuning; Mixture of Experts
1726	On the Importance of Gaussianizing Representations Authors: Daniel Eftekhari; Vardan Papyan Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: mutual information game; gaussianization; power transform; noise robustness; normalization layer; deep learning; information theory
1727	PRIME: Deep Imbalanced Regression with Proxies Authors: Jongin Lim; Sucheol Lee; Daeho Um; Sung-Un Park; Jinwoo Shin Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Imbalanced Regression; Representation Learning; Proxy
1728	Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures Authors: Yingzhao Jian; Yue Zhang; Ying Wei; Hehe Fan; Yi Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Chemical Reaction Modeling; Reaction Graph; 3D Molecular Structure; AI for Chemistry
1729	Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training Authors: Zizheng Huang; Haoxing Chen; Jiaqi Li; jun lan; Huijia Zhu; Weiqiang Wang; Limin Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Vision Mamba; Image Modeling; Training Regularization; Pre-training
1730	The Logical Implication Steering Method for Conditional Interventions on Transformer Generation Authors: Damjan Kalajdzievski Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: Machine Learning; ICML; Mechanistic Interpretability; Interpretability; Safety; LLM; Transformer; Neuro-Symbolic; Language Modelling; Transformer; Steering
1731	Understanding the Emergence of Multimodal Representation Alignment Authors: Megan Tjandrasuwita; Chanakya Ekbote; Liu Ziyin; Paul Pu Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: representation alignment; multimodal learning; vision-language models
1732	unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning Authors: Yafei YANG; Zihui Zhang; Bo Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->other_representation_learning Recognition: Poster/Regular Keywords: unsupervised object segmentation; object-centric representation
1733	Adapting to Evolving Adversaries with Regularized Continual Robust Training Authors: Sihui Dai; Christian Cianfarani; Vikash Sehwag; Prateek Mittal; Arjun Bhagoji Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial training; multi-attack; fine-tuning; regularization
1734	AdvAgent: Controllable Blackbox Red-teaming on Web Agents Authors: Chejian Xu; Mintong Kang; Jiawei Zhang; Zeyi Liao; Lingbo Mo; Mengqi Yuan; Huan Sun; Bo Li Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Web Agents; Large Language Models; Prompt Injection Attack
1735	Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge Authors: Hanglei Hu; Yingying Guo; Zhikang Chen; Sen Cui; Fei Wu; Kun Kuang; Min Zhang; Bo Jiang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Neural Collapse; Personalized Learning; Large Language Model
1736	Adversarial Inputs for Linear Algebra Backends Authors: Jonas Möller; Lukas Pirch; Felix Weissberg; Sebastian Baunsgaard; Thorsten Eisenhofer; Konrad Rieck Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: adversarial inputs; linear algebra backends; floating-point errors
1737	Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian Authors: Thomas Paniagua; Chinmay Savadikar; Tianfu Wu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: ordered top-K adversarial attack; deep neural networks; sequential quadratic programing
1738	Adversarial Robustness via Deformable Convolution with Stochasticity Authors: Yanxiang Ma; Zixuan Huang; Minjing Dong; Shan You; Chang Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial Robustness; Mechine Learning
1739	An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures Authors: Thibaut Boissin; Franck Mamalet; Thomas Fel; Agustin Martin Picard; Thomas Massena; Mathieu Serrurier Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Machine Learning; Orthogonal convolutions; certifiable adversarial robustness; Lipschitz neural networks
1740	Average Certified Radius is a Poor Metric for Randomized Smoothing Authors: Chenhao Sun; Yuhao Mao; Mark Niklas Mueller; Martin Vechev Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: randomized smoothing; metric; average certified radius
1741	Backdoor Attacks in Token Selection of Attention Mechanism Authors: Yunjuan Wang; Raman Arora Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Backdoor attacks; attention mechanism; token selection; transformer models; gradient descent dynamics; theoretical analysis; adversarial machine learning; labe…
1742	Beyond One-Hot Labels: Semantic Mixing for Model Calibration Authors: Haoyang Luo; Linwei Tao; Minjing Dong; Chang Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: model calibration; semantic mixing; diffusion models
1743	Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security Authors: Yangyang Shen; Xiao Tan; Dian Shen; Meng Wang; Beilun Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Deep Learning; Backdoor Defense
1744	Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training Authors: Bhavna Gopal; Huanrui Yang; Jingyang Zhang; Mark Horton; Yiran Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Computer Vision; Adversarial robustness; Criticality; Computer vision; Adversarial attacks; Defense; Safety
1745	CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models Authors: Sen Peng; Mingyue Wang; Jianfei He; Jijia Yang; Xiaohua Jia Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Latent Diffusion Models; Protective Perturbations; Adversarial Training
1746	CTBench: A Library and Benchmark for Certified Training Authors: Yuhao Mao; Stefan Balauca; Martin Vechev Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: certified training; certification; library; benchmark
1747	Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios? Authors: Wendong Zheng; Junyang Chen; Husheng Guo; Wenjian Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Deep binary neural networks; Environmental noise; Robustness
1748	DiffAdvMAP: Flexible Diffusion-Based Framework for Generating Natural Unrestricted Adversarial Examples Authors: Zhengzhao Pan; Hua Chen; Xiaogang Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Unrestricted Adversarial Attacks; Diffusion Models; Flexible Unrestricted Adversarial Attacks
1749	Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift Authors: Nguyen Nhat Minh To; Paul F R Wilson; Viet Nguyen; Mohamed Harmanani; Michael Cooper; Fahimeh Fooladgar; Purang Abolmaesumi; Parvin Mousavi; Rahul Krishnan Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: distribution shift; subpopulation shift; spurious correlation; class imbalance; attribute imbalance
1750	ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models Authors: Xinpeng Dong; Min Zhang; Didi Zhu; Ye Jun Jian; Zhang Keli; Aimin Zhou; Fei Wu; Kun Kuang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Robustness; Spurious correlation; VLM; Zero shot
1751	Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks Authors: Thomas Massena; Léo Andéol; Thibaut Boissin; Franck Mamalet; Corentin Friedrich; Mathieu Serrurier; Sébastien Gerchinovitz Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: robustness; conformal prediction; uncertainty quantification; lipschitz networks
1752	Explaining the role of Intrinsic Dimensionality in Adversarial Training Authors: Enes Altinisik; Safa Messaoud; Husrev Taha Sencar; Hassan Sajjad; Sanjay Chawla Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: adversarial training; robustness; data manifold
1753	Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data Authors: Anish Acharya; Sujay Sanghavi; Alex Dimakis; Inderjit S Dhillon Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: robust; subset; sampling; efficiency; coreset; combinatorial; noise; real world; corruption
1754	ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Authors: Zhiyao Ren; Siyuan Liang; Aishan Liu; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: In-context learning backdoor attack; backdor defense; large language models
1755	IT$^3$: Idempotent Test-Time Training Authors: Nikita Durasov; Assaf Shocher; Doruk Oner; Gal Chechik; Alexei A Efros; Pascal Fua Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: idempotence; generalization; test-time training
1756	LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models Authors: Fanfei Li; Thomas Klein; Wieland Brendel; Robert Geirhos; Roland S. Zimmermann Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: OOD; representation learning; benchmark; model evaluation; vision; classification; psychophysics
1757	LEVIS: Large Exact Verifiable Input Spaces for Neural Networks Authors: Mohamad Fares El Hajj Chehade; WENTING LI; Brian Wesley Bell; Russell Bent; Saif R. Kazi; Hao Zhu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: robustness of neural networks; verifiable input space; adversarial examples; mixed-integer programming
1758	Learning Gaussian DAG Models without Condition Number Bounds Authors: Constantinos Costis Daskalakis; ANTHIMOS VARDIS KANDIROS; Rui Yao Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Bayesian network; graphical model; Gaussian DAG models; condition number
1759	Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection Authors: Spandan Pyakurel; Qi Yu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Openset detection; hierarchical classification
1760	Mahalanobis++: Improving OOD Detection via Feature Normalization Authors: Maximilian Müller; Matthias Hein Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: OOD detection; Mahalanobis distance; out-of-distribution detection
1761	NeuronTune: Towards Self-Guided Spurious Bias Mitigation Authors: Guangtao Zheng; Wenqian Ye; Aidong Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: spurious correlation; robustness; bias mitigation
1762	OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Authors: Liangze Jiang; Damien Teney Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: OOD generalization; distribution shifts; learning to select training algorithms
1763	One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy Authors: Jiacheng Zhang; Benjamin I. P. Rubinstein; Jingfeng Zhang; Feng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: adversarial defense; adversarial robustness; accuracy-robustness trade-off
1764	Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach Authors: Xu Zhang; Kaidi Xu; Ziqing Hu; Ren Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Mixture of Experts; Adversarial Defense; Adversarial Robustness
1765	Phase and Amplitude-aware Prompting for Enhancing Adversarial Robustness Authors: Yibo Xu; Dawei Zhou; Decheng Liu; Nannan Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial attack; Adversarial robustness; Prompt-based defense
1766	Pixel-level Certified Explanations via Randomized Smoothing Authors: Alaa Anani; Tobias Lorenz; Mario Fritz; Bernt Schiele Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: explainability robustness; robustness certification; explainability; certification; robustness; certified attributions
1767	Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability Authors: Renpu Liu; Hao Wu; Jiawei Zhang; Xin Cheng; Xiangyang Luo; Bin Ma; Jinwei Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Transferability; Adversarial Example; AI Security
1768	Probably Approximately Global Robustness Certification Authors: Peter Blohm; Patrick Indri; Thomas Gärtner; SAGAR MALHOTRA Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Robustness; Learning Theory; PAC guarantees; Epsilon Nets
1769	Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs Authors: Aryan Gulati; Brando Miranda; Eric Chen; Emily Xia; Kai Fronsdal; Bruno de Moraes Dumont; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Benchmarks; Large Language Models; Mathematical Reasoning; Mathematics; Reasoning; Machine Learning
1770	Quadratic Upper Bound for Boosting Robustness Authors: Euijin You; Hyang-Won Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Robustness; Adversarial Attack; Fast Adversarial Training; Quadratic upper bound
1771	REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective Authors: Simon Geisler; Tom Wollschläger; M. H. I. Abdalla; Vincent Cohen-Addad; Johannes Gasteiger; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial attacks; generative models; large language models; jailbreak; reinforce; reinforcement learning
1772	ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck Authors: Zheng Zhou; Wenquan Feng; Qiaosheng Zhang; Shuchang Lyu; Qi Zhao; Guangliang Cheng Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Dataset distillation; adversarial robustness; information bottleneck; synthetic subsets; adversarial attacks
1773	Ranked Entropy Minimization for Continual Test-Time Adaptation Authors: Jisu Han; Jaemin Na; Wonjun Hwang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: continual test time adaptation; entropy minimization; masked image modeling
1774	SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures Authors: Peimeng Guan; Mark A. Davenport Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Inverse problems; robustness; generalization; robustness-accuracy tradeoff; model-based architecture; noise injection
1775	SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds Authors: Ali Bahri; Moslem Yazdanpanah; Sahar Dastani; Mehrdad Noori; Gustavo Adolfo Vargas Hakim; David OSOWIECHI; Farzad Beizaee; Ismail Ben Ayed; Christian Desrosiers Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Point Cloud; Test Time Training; Skeletal Points
1776	SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution Authors: Wenwen He; Wenke Huang; Bin Yang; ShuKan Liu; Mang Ye Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Backdoor Defense; Federated Learning; Game Theory
1777	Sample-specific Noise Injection for Diffusion-based Adversarial Purification Authors: Yuhao Sun; Jiacheng Zhang; Zesheng Ye; Chaowei Xiao; Feng Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: adversarial purification; adversarial robustness; diffusion-based adversarial purification; accuracy-robustness trade-of
1778	Self-supervised Adversarial Purification for Graph Neural Networks Authors: Woohyun Lee; Hogun Park Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Self-supervised Learning; Adversarial Robustness; Graph Neural Networks; Adversarial Purification; Graph Auto Encoders
1779	Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation Authors: Yang Yang; Haonan Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Out-of-distribution Detection; Self-distillation
1780	Structure-informed Risk Minimization for Robust Ensemble Learning Authors: Fengchun Qiao; Yanlin Chen; Xi Peng Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Out-of-distribution Generalization
1781	TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Authors: Zi-Jian Cheng; Ziyi Jia; Zhi Zhou; Yu-Feng Li; Lan-Zhe Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: tabular data; feature shift; open environment
1782	Targeted Unlearning with Single Layer Unlearning Gradient Authors: Zikui Cai; Yaoteng Tan; M. Salman Asif Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Machine unlearning; foundation models; CLIP; vision-language model (VLM); Stable Diffusion; privacy protection; copyright protection; trustworthy and safe mach…
1783	Test-Time Canonicalization by Foundation Models for Robust Perception Authors: Utkarsh Singhal; Ryan Feng; Stella X. Yu; Atul Prakash Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: equivariance; invariance; CLIP; diffusion; canonicalization; ecological; unsupervised; test-time scaling
1784	The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models Authors: Zichao Li; Xueru Wen; Jie Lou; Yuqiu Ji; Yaojie Lu; Xianpei Han; Debing Zhang; Le Sun Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Multimodal Reward Model; Generalization; Spurious Correlations
1785	Towards Robust Influence Functions with Flat Validation Minima Authors: Xichen Ye; Yifan Wu; WEIZHONG ZHANG; Cheng Jin; Yifan Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Influence Function
1786	TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack Authors: Feiyang Wang; Xingquan Zuo; Hai Huang; Gang Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial Attacks; Black Box Adversarial Attacks; Hard Label Attacks; Decision-Based Attacks; Machine Learning Security; Artificial Intelligence Security; Ro…
1787	Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Authors: Shuangpeng Han; Mengmi Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: error prediction
1788	X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Authors: Hanxun Huang; Sarah Monazam Erfani; Yige Li; Xingjun Ma; James Bailey Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Adversarial; CLIP; Universal; UAP; VLM; vision language model; robustness; transferability; universal adversarial perturbation
1789	You Always Recognize Me (YARM): Robust Texture Synthesis Against Multi-View Corruption Authors: Weihang Ran; Wei Yuan; Yinqiang Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning->robustness Recognition: Poster/Regular Keywords: Image Corruption; 3D Reconstruction; NeRF
1790	An Augmentation-Aware Theory for Self-Supervised Contrastive Learning Authors: Jingyi Cui; Hongwei Wen; Yisen Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: theoretical understanding; contrastive learning; self-supervised learning
1791	Clustering Properties of Self-Supervised Learning Authors: Xi Weng; Jianing An; Xudong Ma; Binhang Qi; Jie Luo; Xi Yang; Jin Song Dong; Lei Huang Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: self-supervised learning; joint embedding architectures; clustering properties; positive-feedback learning
1792	Collapse-Proof Non-Contrastive Self-Supervised Learning Authors: Emanuele Sansone; Tim Lebailly; Tinne Tuytelaars Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: self-supervised learning; hyperdimensional computing; feature decorrelation; clustering; collapses
1793	ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts Authors: Samar Khanna; Medhanie Irgau; David B. Lobell; Stefano Ermon Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: lora; PEFT; parameter-efficient finetuning; parameter-efficient pre-training; vision transformer; ViT; domain adaptation; domain generalization; satellite imag…
1794	GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation Authors: Mengzhu Wang; houcheng su; Jiao Li; Chuan Li; Nan Yin; Li Shen; Jingcai Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Semi-supervised learning; medical image segmentation; GraphCL; clustered features
1795	How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction Authors: Jun Chen; Hong Chen; Yonghua Yu; Yiming Ying Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Contrastive learning; labeling error; data dimensionality reduction; data augmentation
1796	Long-Short Alignment for Effective Long-Context Modeling in LLMs Authors: Tianqi Du; Haotian Huang; Yifei Wang; Yisen Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Large language model; length generalization; long-short alignment
1797	M3-JEPA: Multimodal Alignment via Multi-gate MoE based on the Joint-Embedding Predictive Architecture Authors: Hongyang Lei; Xiaolong Cheng; Qi Qin; Dan Wang; Huazhen Huang; Qingqing Gu; Yetao Wu; Luo Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: JEPA; MoE; multimodal; alignment
1798	ML$^2$-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning Authors: Jianqing Liang; Zhiqiang Li; Xinkai Wei; Yuan Liu; Zhiqiang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Manifold Learning; Graph Contrastive Learning
1799	Multi-View Graph Clustering via Node-Guided Contrastive Encoding Authors: Yazhou Ren; Junlong Ke; Zichen Wen; Tianyi Wu; Yang Yang; Xiaorong Pu; Lifang He Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Multi-view Clustering; Unsupervised Learning; Graph Learning
1800	Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics Authors: Hongbin Pei; Jingxin Hai; Yu Li; Huiqi Deng; Denghao Ma; Jie Ma; Pinghui Wang; Jing Tao; Xiaohong Guan Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Pseudo-Labels; Two-phase pattern; Semi-supervised learning; Self-training
1801	On the Out-of-Distribution Generalization of Self-Supervised Learning Authors: Wenwen Qiang; Jingyao Wang; Zeen Song; Jiangmeng Li; Changwen Zheng Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Self-Supervised Learning; Representation Learning; Out-of-Distribution
1802	One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation Authors: Xiaoyu Yang; Lijian Xu; Hongsheng Li; Shaoting Zhang Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: contrastive learning; self-supervised pre-training
1803	Self-Organizing Visual Prototypes for Non-Parametric Representation Learning Authors: Thalles Silva; Helio Pedrini; Adín Ramírez Rivera Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: self-supervised learning; computer vision; representation learning; non-parametric SSL
1804	Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection Authors: Kang-Jun Liu; Masanori Suganuma; Takayuki Okatani Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Self-supervised learning; Instance segmentation pre-training; Object detection pre-training; Vision transformer
1805	Simplifying DINO via Coding Rate Regularization Authors: Ziyang Wu; Jingyuan Zhang; Druv Pai; XuDong Wang; Chandan Singh; Jianwei Yang; Jianfeng Gao; Yi Ma Affiliation: 官方页面未列出 Official area / track: deep_learning->selfsupervised_learning Recognition: Poster/Regular Keywords: Self-supervised learning; DINO
1806	A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle Authors: Yu Chen; Nathalia Céspedes; Payam Barnaghi Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time series forecasting; transformers; point-wise; patch-wise; variate-wise; tokenization; model evaluation
1807	A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments Authors: Yuchen Wang; Hongjue Zhao; Haohong Lin; Enze Xu; Lifang He; Huajie Shao Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Physics-enhanced Machine Learning; State Space Model; Long-term Dynamics Forecasting; Dynamical Systems
1808	AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation Authors: Xiangyu Qu; guojing liu; Liang Li Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Machine Translation; Parallel decoding; Vector Quantization
1809	Bayesian Basis Function Approximation for Scalable Gaussian Process Priors in Deep Generative Models Authors: Mehmet Yiğit Balık; Maksim Sinelnikov; Priscilla Ong; Harri Lähdesmäki Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Gaussian Process; High-dimensional time-series; Variational Autoencoder; Conditional Generation; Reproducing Kernel Hilbert Space
1810	Channel Normalization for Time Series Channel Identification Authors: Seunghan Lee; Taeyoung Park; Kibok Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series; Channel Normalization; Time Series Forecasting
1811	Continuously Updating Digital Twins using Large Language Models Authors: Harry Amad; Nicolás Astorga; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Digital twin; simulation; dynamical systems; LLM; in-context learning
1812	Discovering Physics Laws of Dynamical Systems via Invariant Function Learning Authors: Shurui Gui; Xiner Li; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: ordinary differential equation; invariant learning
1813	Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Authors: Leon Götz; Marcel Kollovieh; Stephan Günnemann; Leo Schwinn Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series; Token Merging; Transformer; State-Space Model
1814	Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization Authors: Luca Masserano; Abdul Fatir Ansari; Boran Han; Xiyuan Zhang; Christos Faloutsos; Michael W. Mahoney; Andrew Gordon Wilson; Youngsuk Park; Syama Sundar Rangapuram; Danielle C. Madd… Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: time series; forecasting; foundation models; wavelets; tokenization; frequency; pretrained model; nonstationary
1815	IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction Authors: Zhangyi Hu; Jiemin Wu; Hua XU; Mingqian Liao; Ninghui Feng; Bo Gao; Songning Lai; Yutao Yue Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Irregular Multivariate Time Series Prediction; Visual Mask Autoencoder; Self-Supervised Learning
1816	In-Context Fine-Tuning for Time-Series Foundation Models Authors: Matthew Faw; Rajat Sen; Yichen Zhou; Abhimanyu Das Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time-series forecasting; Foundation models; In-context learning
1817	LAST SToP for Modeling Asynchronous Time Series Authors: Shubham Gupta; Thibaut Durand; Graham W. Taylor; Lilian Bialokozowicz Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Large Language Models; Asynchronous Time Series; Time Series modeling; Deep Learning
1818	LETS Forecast: Learning Embedology for Time Series Forecasting Authors: Abrar Majeedi; Viswanatha Reddy Gajjala; Satya Sai Srinath Namburi GNVV; Nada Magdi Elkordi; Yin Li Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time series forecasting; dynamical modeling
1819	LSCD: Lomb–Scargle Conditioned Diffusion for Time series Imputation Authors: Elizabeth Fons; Alejandro Sztrajman; Yousef El-Laham; Luciana Ferrer; Svitlana Vyetrenko; Manuela Veloso Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: time series; diffusion models; frequency spectrum
1820	LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization Authors: Wenzhe Niu; Zongxia Xie; Yanru Sun; Wei He; Man Xu; Chao Hao Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series; Large Language Model; Reinforcement Learning
1821	LightGTS: A Lightweight General Time Series Forecasting Model Authors: Yihang Wang; Yuying Qiu; Peng Chen; Yang Shu; Zhongwen Rao; Lujia Pan; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Foundation models; Time series forecasting
1822	Lightweight Online Adaption for Time Series Foundation Model Forecasts Authors: Thomas L Lee; William Toner; Rajkarn Singh; Artjom Joosen; Martin Asenov Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series; Foundation Models; Deep Learning; Continual Learning; Online Learning
1823	Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting Authors: Jiecheng Lu; Shihao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Linear Attention; Transformer; Time Series Forecasting; Vector Autoregression
1824	MTSTRec: Multimodal Time-Aligned Shared Token Recommender Authors: Ming-Yi Hong; Yen-Jung Hsu; Miao-Chen Chiang; Che Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Multimodal Sequential Recommendation; Time-aligned Shared Token; Image Style Representation; Large Language Model
1825	Measuring In-Context Computation Complexity via Hidden State Prediction Authors: Vincent Herrmann; Róbert Csordás; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: in-context learning; interpretability; transformers
1826	Patch-wise Structural Loss for Time Series Forecasting Authors: Dilfira Kudrat; Zongxia Xie; Yanru Sun; Tianyu Jia; Qinghua Hu Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series Forecasting; Loss Function; Deep Learning
1827	Quantifying Memory Utilization with Effective State-Size Authors: Rom Parnichkun; Neehal Tumma; Armin W Thomas; Alessandro Moro; Qi An; Taiji Suzuki; Atsushi Yamashita; Michael Poli; Stefano Massaroli Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: model analysis; interpretability; linear systems; attention; state-space models; sequence models; memory utilization; context utilization
1828	Retrieval Augmented Time Series Forecasting Authors: Sungwon Han; Seungeon Lee; Meeyoung Cha; Sercan O Arik; Jinsung Yoon Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time series forecasting; Retrieval augmented model; Deep learning
1829	SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Authors: Grigory Bartosh; Dmitry Vetrov; Christian A. Naesseth Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: diffusion; generative models; SDE; time series; variational inference
1830	SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Authors: Yitian Zhang; Liheng Ma; Antonios Valkanas; Boris N. Oreshkin; Mark Coates Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Koopman Operator Theory; Linear RNN; Time-Series Forecasting
1831	SpikF: Spiking Fourier Network for Efficient Long-term Prediction Authors: Wenjie Wu; Dexuan Huo; Hong Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time-series Forecasting; Spiking Neural Networks; Fourier Transform
1832	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Authors: Siru Zhong; Weilin Ruan; Ming Jin; Huan Li; Qingsong Wen; Yuxuan Liang Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series Forecasting; Vision-Language Models
1833	TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting Authors: Peiyuan Liu; Beiliang Wu; Yifan Hu; Naiqi Li; Tao Dai; Jigang Bao; Shu-Tao Xia Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Long-term time series forecasting; Non-stationarity; Dependency Modeling
1834	TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Authors: Yifan Hu; Guibin Zhang; Peiyuan Liu; Disen Lan; Naiqi Li; Dawei Cheng; Tao Dai; Shu-Tao Xia; Shirui Pan Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series Forecasting
1835	TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting Authors: Qinglong Liu; Cong Xu; Wenhao Jiang; Kaixuan Wang; Lin Ma; Haifeng Li Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: deep learning; time series forecasting; non-stationarity; attention
1836	Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer Authors: Yihang Wang; Yuying Qiu; Peng Chen; Kai Zhao; Yang Shu; Zhongwen Rao; Lujia Pan; Bin Yang; Chenjuan Guo Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Foundation models; Time series forecasting
1837	Training High Performance Spiking Neural Network by Temporal Model Calibration Authors: Jiaqi Yan; Changping Wang; De Ma; Huajin Tang; Qian Zheng; Gang Pan Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Spiking Neural Networks; Direct Training; Temporal Heterogeneity; Temporal Model Calibration
1838	TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation Authors: Jaeho Kim; Seulki Lee Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time Series; Transition Matrices; VQVAE; Adaptation
1839	UnHiPPO: Uncertainty-aware Initialization for State Space Models Authors: Marten Lienen; Abdullah Saydemir; Stephan Günnemann Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: state space; uncertainty; hippo; mamba; kalman; noise; filter
1840	Understanding and Improving Length Generalization in Recurrent Models Authors: Ricardo Buitrago; Albert Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: length generalization; length extrapolation; mamba; long context; language models
1841	WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting Authors: Jiecheng Lu; Xu Han; Yan Sun; Shihao Yang Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Attention; Transformer; Autoregressive Moving-average; Time Series Forecasting
1842	When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series Authors: Min-Yeong Park; Won-Jeong Lee; Seong Tae Kim; Gyeong-Moon Park Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time series forecasting; time series anomaly detection
1843	Winner-takes-all for Multivariate Probabilistic Time Series Forecasting Authors: Adrien Cortes; Remi Rehm; Victor Letzelter Affiliation: 官方页面未列出 Official area / track: deep_learning->sequential_models_time_series Recognition: Poster/Regular Keywords: Time-series forecasting; Quantization; Probabilistic methods; Conditional Distribution Estimation; Winner-takes-all; Diversity; Multiple Choice Learning
1844	A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models Authors: Shivam Kumar; Yun Yang; Lizhen Lin Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Distribution Regression; Conditional Deep Generative Models; Intrinsic Manifold Structure; Sieve MLE; Wasserstein Convergence.
1845	A Simple Model of Inference Scaling Laws Authors: Noam Itzhak Levi Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Scaling Laws; Inference Scaling; Maths; Coding; LLMs.
1846	Adaptive kernel predictors from feature-learning infinite limits of neural networks Authors: Clarissa Lauditi; Blake Bordelon; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Kernel methods; feature learning; Bayesian networks
1847	Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations Authors: Davide Sartor; Alberto Sinigaglia; Gian Antonio Susto Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Monotonic; Neural Network
1848	BCE vs. CE in Deep Feature Learning Authors: Qiufu Li; Huibin Xiao; Linlin Shen Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: cross-entropy loss; BCE; neural collapse; decision score; weight decay
1849	Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training Authors: Max Milkert; David Hyde; Forrest John Laine Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: linear regions; activation regions; ReLU network; pretraining; network initialization
1850	Compositional Risk Minimization Authors: Divyat Mahajan; Mohammad Pezeshki; Charles Arnal; Ioannis Mitliagkas; Kartik Ahuja; Pascal Vincent Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Compositional Generalization; Out of Distribution Generalization; Provable Extrapolation; Energy Based Models
1851	Constrained Belief Updates Explain Geometric Structures in Transformer Representations Authors: Mateusz Piotrowski; Paul M. Riechers; Daniel Filan; Adam Shai Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: transformer architectures; computational mechanics; mechanistic interpretability; optimal prediction; neural network representations; belief states; hidden mar…
1852	Counting in Small Transformers: The Delicate Interplay between Attention and Feed-Forward Layers Authors: Freya Behrens; Luca Biggio; Lenka Zdeborova Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: learning theory; representation learning; algorithmic tasks; attention; associative memories; implicit bias; learning regimes
1853	Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Authors: Blake Bordelon; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: deep learning; mean field; learning dynamics; $\mu$P; residual networks; dynamical mean field theory
1854	Features are fate: a theory of transfer learning in high-dimensional regression Authors: Javan Tahir; Surya Ganguli; Grant M. Rotskoff Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: transfer learning; feature learning; random matrix theory
1855	Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions Authors: Geonho Hwang; Yeachan Park; Wonyeol Lee; Sejun Park Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Universal approximation; Floating-Point Arithmetic
1856	Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization Authors: Zixiang Chen; Greg Yang; Qingyue Zhao; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Feature learning; Neural networks; $\mu$P; Tensor Program
1857	Global curvature for second-order optimization of neural networks Authors: Alberto Bernacchia Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Curvature; Second-order optimization; Symmetric neural networks
1858	Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes Authors: Ruiqi Zhang; Jingfeng Wu; Peter Bartlett Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: gradient descent; logistic regression; convergence; optimization
1859	Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks Authors: Yuhang Cai; Kangjie Zhou; Jingfeng Wu; Song Mei; Michael Lindsey; Peter Bartlett Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Implicit bias; Non-homogeneous model; Deep neural networks; Gradient descent
1860	Learning In-context $n$-grams with Transformers: Sub-$n$-grams Are Near-Stationary Points Authors: Aditya Varre; Gizem Yüce; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: in context learning; markov chains; transformers; n-grams
1861	Learning curves theory for hierarchically compositional data with power-law distributed features Authors: Francesco Cagnetta; Hyunmo Kang; Matthieu Wyart Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Science of Deep Learning; Scaling laws; hierarchical compositionality; probabilistic graphical models
1862	Minimum Width for Universal Approximation using Squashable Activation Functions Authors: Jonghyun Shin; Namjun Kim; Geonho Hwang; Sejun Park Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: universal approximation; minimum width
1863	Modular Duality in Deep Learning Authors: Jeremy Bernstein; Laker Newhouse Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: modular; duality; Newton-Schulz
1864	On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics Authors: Binghui Li; Yuanzhi Li Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: deep learning theory; adversarial training; clean generalization and robust overfitting; representation complexity; training dynamics; feature learning theory
1865	On the Local Complexity of Linear Regions in Deep ReLU Networks Authors: Niket Nikul Patel; Guido Montufar Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Linear Regions; Adversarial Robustness; Implicit Bias; Representation Learning
1866	On the Provable Separation of Scales in Maximal Update Parameterization Authors: Letong Hong; Zhangyang Wang Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Maximal Update Parametrization; hyperparameter tuning; zero-shot transfer; stochastic differential equations
1867	On the Query Complexity of Verifier-Assisted Language Generation Authors: Edoardo Botta; Yuchen Li; Aashay Mehta; Jordan T. Ash; Cyril Zhang; Andrej Risteski Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: verifier-assisted language generation; query complexity; inference-time scaling; best-of-N sampling; constrained generation; theory
1868	Optimization for Neural Operators can Benefit from Width Authors: Pedro Cisneros-Velarde; Bhavesh Shrimali; Arindam Banerjee Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: neural operators; optimization; training
1869	Positional Attention: Expressivity and Learnability of Algorithmic Computation Authors: Artur Back de Luca; George Giapitzakis; Shenghao Yang; Petar Veličković; Kimon Fountoulakis Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Theory; Transformers; Attention; Parallel Algorithms; Expressivity; Sample Complexity; Out-of-distribution Generalization; Massively Parallel Computation
1870	Rethinking Benign Overfitting in Two-Layer Neural Networks Authors: Ruichen Xu; Kexin Chen Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Benign overfitting; long-tailed data; two-layer neural networks
1871	Risk and cross validation in ridge regression with correlated samples Authors: Alexander Atanasov; Jacob A Zavatone-Veth; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Linear regression; random matrix theory
1872	Simplicity Bias and Optimization Threshold in Two-Layer ReLU Networks Authors: Etienne Boursier; Nicolas Flammarion Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Neural Networks; Simplicty Bias; Implicit Bias; One hidden ReLU Network; Early Alignment
1873	Softmax is not Enough (for Sharp Size Generalisation) Authors: Petar Veličković; Christos Perivolaropoulos; Federico Barbero; Razvan Pascanu Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: softmax; size generalisation; attention; transformers; length generalisation; sharpness; entropy
1874	Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry Authors: Mohammed Adnan; Rohan Jain; Ekansh Sharma; Rahul Krishnan; Yani Ioannou Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Lottery Ticket Hypothesis; sparse training; linear mode connectivity; weight symmetry; deep learning; deep neural networks; random initialization; git re-basin…
1875	Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization Authors: Simone Bombari; Marco Mondelli Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: high-dimensional statistics; empirical risk minimization; spurious correlations; linear regression; random features
1876	Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence Authors: Yinbin Han; Meisam Razaviyayn; Renyuan Xu Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Diffusion models; fine-tuning; stochastic control; reinforcement learning; policy iteration; optimality; regularity; convergence
1877	Task Generalization with Autoregressive Compositional Structure: Can Learning from $D$ Tasks Generalize to $D^T$ Tasks? Authors: Amirhesam Abedsoltan; Huaqing Zhang; Kaiyue Wen; Hongzhou Lin; Jingzhao Zhang; Mikhail Belkin Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: In Context Learning; Chain of Thought; Parity problem; Composition Generalization
1878	The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions Authors: Gül Sena Altıntaş; Devin Kwok; Colin Raffel; David Rolnick Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: early training; linear mode connectivity; loss landscape; perturbation sensitivity; permutation symmetry
1879	Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity Authors: Ningyuan Teresa Huang; Miguel Sarabia; Abhinav Moudgil; Pau Rodriguez; Luca Zappella; Federico Danieli Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Mamba; State Space Model; Input selectivity; Function Approximation; Memorization; MQAR
1880	Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More Authors: Geonhui Yoo; Minhak Song; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: progressive sharpening; sharpness
1881	When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets Authors: Chen Zeno; Hila Manor; Greg Ongie; Nir Weinberger; Tomer Michaeli; Daniel Soudry Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Probability flow; Score flow; Diffusion models; Memorization; Denoising; Neural networks
1882	Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg Authors: Like Jian; Dong Liu Affiliation: 官方页面未列出 Official area / track: deep_learning->theory Recognition: Poster/Regular Keywords: Federated learning; overparameterized neural networks; data heterogeneity
1883	A Certified Unlearning Approach without Access to Source Data Authors: Umit Yigit Basaran; Sk Miraj Ahmed; Amit Roy-Chowdhury; Basak Guler Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Certified machine unlearning; privacy; surrogate data; statistical distance; noise calibration
1884	A Closer Look at Generalized BH Algorithm for Out-of-Distribution 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: Generalized BH algorithm; Out-of-distribution detection
1885	A Variational Information Theoretic Approach to Out-of-Distribution Detection Authors: Sudeepta Mondal; Zhuolin Jiang; Ganesh Sundaramoorthi Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: out-of-distribution detection; information theory; variational calculus
1886	Adaptive Estimation and Learning under Temporal Distribution Shift Authors: Dheeraj Baby; Yifei Tang; Hieu Duy Nguyen; Yu-Xiang Wang; Rohit Pyati Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Temporal Distribution Shift; Non-Stationary data; Total Variation Denoising
1887	An Online Statistical Framework for Out-of-Distribution Detection Authors: Xinsong Ma; Xin Zou; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Out-of-distribution; Hypothesis testing; False positive rate; P-value
1888	Autoencoder-Based Hybrid Replay for Class-Incremental Learning Authors: Milad Khademi Nori; IL MIN KIM; Guanghui Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Autoencoders; Catastrophic Forgetting; Generative Modelling; Hybrid Replay
1889	Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination Authors: Zhihan Zhu; Yanhao Zhang; Yong Xia Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Best Subset Selection; Feature Selection and Elimination; Optimal Criteria; Compressed Sensing; Sparse Regression
1890	Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead Authors: Shengju Yu; Yiu-ming Cheung; Siwei Wang; Xinwang Liu; En Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Incomplete Mulit-view Clustering
1891	Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO* Authors: Ayman Chaouki; Jesse Read; Albert Bifet Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Decision Trees; AND/OR search; AO*; Dynamic Programming; Branch and Bound
1892	COExpander: Adaptive Solution Expansion for Combinatorial Optimization Authors: Jiale Ma; Wenzheng Pan; Yang Li; Junchi Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Generative Modeling
1893	Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach Authors: Qian Peng; Yajie Bao; Haojie Ren; Zhaojun Wang; Changliang Zou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal prediction; Cellwise outliers; Detection-imputation method; Nonexchangeability
1894	Conformity Score Averaging for Classification Authors: Rui Luo; Zhixin Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: conformal prediction; model averaging; VC dimension
1895	Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions Authors: David Vigouroux; Joseba Dalmau; Louis Béthune; Victor Boutin Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: ODEs; Regularization; Sturm-Liouville theory; function approximation; orthogonal basis functions; eigenvalues problems; Elliptic eigenvalues problem; Parabolic…
1896	Direct Prediction Set Minimization via Bilevel Conformal Classifier Training Authors: Yuanjie Shi; Hooman Shahrokhi; Xuesong Jia; Xiongzhi Chen; Jana Doppa; Yan Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: conformal prediction; uncertainty quantification; deep classifiers; conformal training
1897	Disentangling Invariant Subgraph via Variance Contrastive Estimation under Distribution Shifts Authors: Haoyang Li; Xin Wang; Xueling Zhu; Weigao Wen; Wenwu Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Disentanglement; Graph Neural Network; Distribution Shift
1898	Distributional Diffusion Models with Scoring Rules Authors: Valentin De Bortoli; Alexandre Galashov; J Swaroop Guntupalli; Guangyao Zhou; Kevin Patrick Murphy; Arthur Gretton; Arnaud Doucet Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Diffusion models; energy distance; maximum mean discrepancy; scoring rules; accelerated sampling of diffusion models
1899	Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning Authors: Hui Zeng; Wenke Huang; Tongqing Zhou; Xinyi Wu; Guancheng Wan; Yingwen Chen; Zhiping Cai Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: One-shot Federated Learning; Prototype Learning; Self-supervised Learning; Heterogeneous Data; Efficiency
1900	Efficient Heterogeneity-Aware Federated Active Data Selection Authors: Ying-Peng Tang; Chao Ren; Xiaoli Tang; Sheng-Jun Huang; Lizhen Cui; Han Yu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated learning; Active learning; Leverage score sampling
1901	Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability Authors: Jie Bao; Chuangyin Dang; Rui Luo; Hanwei Zhang; Zhixin Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: adversarial attack; game theory; adversarial training; conformal prediction; conformal training
1902	Evolving Minds: Logic-Informed Inference from Temporal Action Patterns Authors: Chao Yang; Shuting Cui; Yang Yang; Shuang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Logic-Informed Temporal Point Process; Amortized Variational EM; Human-AI Collaboration
1903	False Coverage Proportion Control for Conformal Prediction Authors: Alexandre Blain; Bertrand Thirion; Pierre Neuvial Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal prediction; multiple testing; False Discovery control
1904	Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging Authors: Ansgar Lößer; Max Schlecht; Florian Schintke; Joel Witzke; Matthias Weidlich; Björn Scheuermann Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Regression; Segmented Regression; Time-Series Analysis
1905	Feature Importance Metrics in the Presence of Missing Data Authors: Henrik von Kleist; Joshua Wendland; Ilya Shpitser; Carsten Marr Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: feature importance; missing data; leave-one-covariate-out; feature acquisition; full data; observed data
1906	FedClean: A General Robust Label Noise Correction for Federated Learning Authors: Xiaoqian Jiang; Jing Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: federated learning; noisy labels; model aggregation
1907	Federated Learning for Feature Generalization with Convex Constraints Authors: Dongwon Kim; Donghee Kim; Sung Kuk Shyn; Kwangsu Kim Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Convex Optimization
1908	Importance Sampling for Nonlinear Models Authors: Prakash Palanivelu Rajmohan; Fred Roosta Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Importance Sampling; Nonlinear Adjoint; Leverage Scores; Active Learning
1909	Info-Coevolution: An Efficient Framework for Data Model Coevolution Authors: Ziheng Qin; Hailun Xu; Wei Chee Yew; Qi Jia; Yang Luo; Kanchan Sarkar; Danhui Guan; Kai Wang; Yang You Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Dataset Efficiency; Annotation Efficiency
1910	Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization Authors: Florian Beier; Moritz Piening; Robert Beinert; Gabriele Steidl Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: embedded Wasserstein distance; Gromov-Wasserstein distance; optimal transport; manifold alignment; relaxed embedding
1911	Learning with Selectively Labeled Data from Multiple Decision-makers Authors: Jian Chen; Zhehao Li; Xiaojie Mao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Selective Labels; Causal Inference; Minimax Learning; Cost-sensitive Classification
1912	Locality Preserving Markovian Transition for Instance Retrieval Authors: Jifei Luo; Wenzheng Wu; Hantao Yao; Lu Yu; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Retrieval; Manifold ranking; Re-ranking; Diffusion
1913	MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product Authors: Muyang Cao; Jiajun Yu; Xin Du; Gang Pan; Wei Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: metric nearness problem; metric; triangle inequality; tropical inner product
1914	Multi-Session Budget Optimization for Forward Auction-based Federated Learning Authors: Xiaoli Tang; Han Yu; Zengxiang Li; Xiaoxiao Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Auction-based Federated Learning; bidding strategy
1915	NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel Authors: Gabriel Thompson; Kai Yue; Chau-Wai Wong; Huaiyu Dai Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated Learning; Decentralized Federated Learning; Neural Tangent Kernel
1916	Navigating Conflicting Views: Harnessing Trust for Learning Authors: Jueqing Lu; Wray Buntine; Yuanyuan Qi; Joanna Dipnall; Belinda Gabbe; Lan Du Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Multi-view Learning; Conflict Multi-view Learning; Reliable Multi-view Learning
1917	On the Power of Learning-Augmented Search Trees Authors: Jingbang Chen; Xinyuan Cao; Alicia Stepin; Li Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: learning-augmented; binary search tree; algorithm with predictions; data structure
1918	One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory Authors: Yuhang Li; Tong Liu; Yangguang Cui; Ming Hu; Xiaoqiang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Federated learning; sharpness-aware minimization
1919	OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning Authors: Cong Hua; Qianqian Xu; Zhiyong Yang; Zitai Wang; Shilong Bao; Qingming Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Open-world Prompt Tuning; OOD detection
1920	Optimal transport-based conformal prediction Authors: Gauthier Thurin; Kimia Nadjahi; Claire Boyer Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: conformal prediction; optimal transport; generalized quantiles; uncertainty quantification
1921	Parametric Scaling Law of Tuning Bias in Conformal Prediction Authors: Hao Zeng; Kangdao Liu; Bingyi Jing; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: uncertainty quantification; conformal prediction
1922	Prediction-Powered Adaptive Shrinkage Estimation Authors: Sida Li; Nikolaos Ignatiadis Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: prediction powered inference; shrinkage estimation
1923	Projection Pursuit Density Ratio Estimation Authors: Meilin Wang; Wei Huang; Mingming Gong; Zheng Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: density ratio estimation; projection pursuit; covariate shift adaptation
1924	Provable Maximum Entropy Manifold Exploration via Diffusion Models 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: Poster/Regular Keywords: diffusion models; exploration; fine-tuning; maximum state entropy reinforcement learning
1925	Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Authors: Nayoung Lee; Ziyang Cai; Avi Schwarzschild; Kangwook Lee; Dimitris Papailiopoulos Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: self-improvement; length generalization; self-training
1926	Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits Authors: Jinzhao Li; Nan Jiang; Yexiang Xue Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Satisfiabilty; Satisfiability Modulo Counting; Uncertainty in AI; Statistical AI; Probability Circuits
1927	Testing Conditional Mean Independence Using Generative Neural Networks Authors: Yi Zhang; Linjun Huang; Yun Yang; Xiaofeng Shao Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conditional Distribution; Maximum Mean Discrepancy; Kernel Method; Double Robustness
1928	UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance Authors: Fangchen Yu; Yanzhen Chen; Jiaxing Wei; Jianfeng Mao; Wenye Li; Qiang Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: 1-Wasserstein Distance; Tree-Wasserstein Distance; Ultrametric Tree; Optimization
1929	Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts Authors: Chengyi Cai; Zesheng Ye; Lei Feng; Jianzhong Qi; Feng Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Model Reprogramming; Visual Reprogramming; Vision-Language Model; Visual Prompting
1930	Volume Optimality in Conformal Prediction with Structured Prediction Sets Authors: Chao Gao; Liren Shan; Vaidehi Srinivas; Aravindan Vijayaraghavan Affiliation: 官方页面未列出 Official area / track: general_machine_learning Recognition: Poster/Regular Keywords: Conformal Prediction; Volume Optimality; Structured Prediction Sets
1931	A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment Authors: Raanan Yehezkel Rohekar; Yaniv Gurwicz; Sungduk Yu; Estelle Aflalo; Vasudev Lal Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: structural causal model; causal reasoning; GPT; mechanistic interpretability; explainable AI; causal discovery
1932	A Meta-learner for Heterogeneous Effects in Difference-in-Differences Authors: Hui Lan; Haoge Chang; Eleanor Wiske Dillon; Vasilis Syrgkanis Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Difference-in-Differences; Heterogeneous Treatment Effect; Meta-Learners; Debiased Machine Learning; Conditional Functionals
1933	A Recipe for Causal Graph Regression: Confounding Effects Revisited Authors: Yujia Yin; Tianyi Qu; Zihao Wang; Yifan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: graph
1934	A Sample Efficient Conditional Independence Test in the Presence of Discretization Authors: Boyang Sun; Yu Yao; Xinshuai Dong; Zongfang Liu; Tongliang Liu; Yumou Qiu; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Conditional independence test; discretization; Generalized method of Moments
1935	Active Treatment Effect Estimation via Limited Samples Authors: Zhiheng Zhang; Haoxiang Wang; Haoxuan Li; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causality
1936	Adjustment for Confounding using Pre-Trained Representations Authors: Rickmer Schulte; David Rügamer; Thomas Nagler Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: ATE; Pre-trained Models; Doubly Robust Estimation; Intrinsic Dimensions
1937	Arrow: Accelerator for Time Series Causal Discovery with Time Weaving Authors: Yuanyuan Yao; Yuan Dong; Lu Chen; Kun Kuang; Ziquan Fang; Cheng Long; Yunjun Gao; TIANYI LI Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: time series; causal discovery; accelerator
1938	AutoCATE: End-to-End, Automated Treatment Effect Estimation Authors: Toon Vanderschueren; Tim Verdonck; Mihaela van der Schaar; Wouter Verbeke Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Treatment Effect Estimation; Causal Inference; AutoML
1939	Automatic Reward Shaping from Confounded Offline Data Authors: Mingxuan Li; Junzhe Zhang; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causality; Reinforcement Learning; Reward Shaping
1940	Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach Authors: Jin Zhu; Jingyi Li; Hongyi Zhou; Yinan Lin; Zhenhua Lin; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: policy evaluation; AB testing; Graph cut; Spatial interference; Spatial correlation
1941	Bayesian Active Learning for Bivariate Causal Discovery Authors: Yuxuan Wang; Mingzhou Liu; Xinwei Sun; Wei Wang; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: active causal discovery; Bayes factor; sequential decision-making; intervention design
1942	Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond Authors: Yong Wu; Yanwei Fu; Shouyan Wang; Xinwei Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal discovery; unmeasured confounding; proxy variables; integral equation; causal hypothesis testing; negative control
1943	Causal Abstraction Inference under Lossy Representations Authors: Kevin Muyuan Xia; Elias Bareinboim Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causality; causal inference; causal abstractions; neural networks; deep learning; representation learning; neural causal models
1944	Causal Abstraction Learning based on the Semantic Embedding Principle Authors: Gabriele D'Acunto; Fabio Massimo Zennaro; Yorgos Felekis; Paolo Di Lorenzo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: structural causal models; causal abstraction; semantic embedding principle; Stiefel manifold; Riemannian optimization
1945	Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants Authors: Daniele Tramontano; Yaroslav Kivva; Saber Salehkaleybar; Negar Kiyavash; Mathias Drton Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal Effect Identification; Structural Causal Models; Cumulants.
1946	Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel Authors: Carlota Parés Morlans; Michelle Yi; Claire Chen; Sarah A Wu; Rika Antonova; Tobias Gerstenberg; Jeannette Bohg Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: active exploration; physical reasoning; causality; bayesian optimization
1947	Continuous Bayesian Model Selection for Multivariate Causal Discovery Authors: Anish Dhir; Ruby Sedgwick; Avinash Kori; Ben Glocker; Mark van der Wilk Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: bayesian model selection; gaussian process; causal discovery
1948	Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation Authors: Jiaxuan Zhang; Emadeldeen Eldele; Fuyuan CAO; Yang Wang; Xiaoli Li; Jiye Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal inference; individual treatment effect; counterfactual generation; contrastive learning
1949	Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making Authors: Stelios Triantafyllou; Aleksa Sukovic; Yasaman Zolfimoselo; Goran Radanovic Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: counterfactual reasoning; causal explanation formula; multi-agent Markov decision processes; accountability
1950	Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models Authors: Xichen Guo; Feng Xie; Yan Zeng; Hao Zhang; Zhi Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Instrumental Variable; Testability; Causal Effect; Unmeasured Confounders; Causal Graphical Models
1951	Differentiable Structure Learning with Ancestral Constraints Authors: Taiyu Ban; Changxin Rong; Xiangyu Wang; Lyuzhou Chen; Xin Wang; Derui Lyu; Qinrui Zhu; Huanhuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal discovery; Continuous DAG structure learning; Constrained optimization problem
1952	Discovering Latent Causal Graphs from Spatiotemporal Data Authors: Kun Wang; Sumanth Varambally; Duncan Watson-Parris; Yian Ma; Rose Yu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Representation Learning; Causal Discovery; Spatiotemporal Inference; Variational Inference; Time Series Analysis
1953	Distinguishing Cause from Effect with Causal Velocity Models Authors: Johnny Xi; Hugh Dance; Peter Orbanz; Benjamin Bloem-Reddy Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal discovery; functional causal models; dynamical systems
1954	Distributionally Robust Policy Learning under Concept Drifts Authors: Jingyuan Wang; Zhimei Ren; Ruohan Zhan; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: distributionally robust optimization; offline policy learning; concept drift; bandit learning; reinforcement learning.
1955	Double Machine Learning for Causal Inference under Shared-State Interference Authors: Chris Hays; Manish Raghavan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: double machine learning; interference; causal inference
1956	Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials Authors: Chenyin Gao; Shu Yang; Mingyang Shan; Wenyu Ye; Ilya Lipkovich; Douglas Faries Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Adaptive learning; Monotone coarsening; unmeasured confounding; data heterogeneity
1957	Doubly Robust Fusion of Many Treatments for Policy Learning Authors: Ke Zhu; Jianing Chu; Ilya Lipkovich; Wenyu Ye; Shu Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: calibration weighting; individualized treatment rule; fused Lasso
1958	Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing Authors: Ke Zhu; Shu Yang; Xiaofei Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; data fusion; randomization test; real-world data and evidence; small sample size
1959	Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Authors: Hechuan Wen; Tong Chen; Mingming Gong; Li Kheng Chai; Shazia Sadiq; Hongzhi Yin Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal Inference; Treatment Effect Estimation; Active Learning
1960	Extracting Rare Dependence Patterns via Adaptive Sample Reweighting Authors: Yiqing Li; Yewei Xia; Xiaofei Wang; Zhengming Chen; Liuhua Peng; Mingming Gong; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Independence tests; Sample reweighting; Causal discovery
1961	FairPFN: A Tabular Foundation Model for Causal Fairness Authors: Jake Robertson; Noah Hollmann; Samuel Müller; Noor Awad; Frank Hutter Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal Fairness; Foundation Models; In-Context-Learning; Prior-Fitted-Networks
1962	Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms Authors: Rickard Karlsson; JH Krijthe Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; observational data; falsification; unmeasured confounding; independent causal mechanisms
1963	Federated Causal Structure Learning with Non-identical Variable Sets Authors: Yunxia Wang; Fuyuan CAO; Kui Yu; Jiye Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Federated causal structure learning; privacy-preserving; non-identical variable sets; spurious dependencies
1964	Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments Authors: Baohong Li; Yingrong Wang; Anpeng Wu; Ming Ma; Ruoxuan Xiong; Kun Kuang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal Inference; Randomized Controlled Trial; Generalization; Treatment Effect Estimation; Data Fusion; Missing Covariates; Selection Bias
1965	Generative Intervention Models for Causal Perturbation Modeling Authors: Nora Schneider; Lars Lorch; Niki Kilbertus; Bernhard Schölkopf; Andreas Krause Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causality; Causal Inference; Causal Modeling; Interventions; Perturbations; Generalization; Interpretability
1966	Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees Authors: Tomer Meir; Uri Shalit; Malka Gorfine Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Heterogeneous treatment effect; Causal inference; Time to event data; Survival analysis; Instrumental variable; Rare disease; Multiple imputations
1967	Hierarchical Reinforcement Learning with Targeted Causal Interventions Authors: Mohammadsadegh Khorasani; Saber Salehkaleybar; Negar Kiyavash; Matthias Grossglauser Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Structural Causal Models; Causal Discovery; Hierarchical Reinforcement Learning; Intervention; Subgoal Discovery
1968	Improving the Variance of Differentially Private Randomized Experiments through Clustering Authors: Adel Javanmard; Vahab Mirrokni; Jean Pouget-Abadie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; differential privacy; clustering
1969	Integer Programming for Generalized Causal Bootstrap Designs Authors: Jennifer Rogers Brennan; Sebastien Lahaie; Adel Javanmard; Nick Doudchenko; Jean Pouget-Abadie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: design uncertainty; causal bootstrap; integer programming
1970	Isolated Causal Effects of Natural Language Authors: Victoria Lin; Louis-Philippe Morency; Eli Ben-Michael Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; natural language processing; omitted variable bias
1971	LLMScan: Causal Scan for LLM Misbehavior Detection Authors: Mengdi Zhang; Goh Kai Kiat; Peixin Zhang; Jun Sun; Lin Xin Rose; Hongyu Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Large Language Model; Causality Inference; LLM Detection
1972	Latent Variable Causal Discovery under Selection Bias Authors: Haoyue Dai; Yiwen Qiu; Ignavier Ng; Xinshuai Dong; Peter Spirtes; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal discovery; latent variables; selection bias; rank constraints; covariance matrix
1973	Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models Authors: Armin Kekić; Sergio Hernan Garrido Mejia; Bernhard Schölkopf Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causality; Treatment Effect; Causal Representation Learning
1974	Learning Representations of Instruments for Partial Identification of Treatment Effects Authors: Jonas Schweisthal; Dennis Frauen; Maresa Schröder; Konstantin Hess; Niki Kilbertus; Stefan Feuerriegel Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; partial identification; instrumental variables; treatment effect; representation learning
1975	Linear Contextual Bandits With Interference Authors: Yang Xu; Wenbin Lu; Rui Song Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Contextual Bandits; Interference; Causality; Multi-agent; Asymptotics; Sublinear regret
1976	Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence Authors: Joseph Paillard; Angel David REYERO LOBO; Vitaliy Kolodyazhniy; Bertrand Thirion; Denis-Alexander Engemann Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal Learning; Interpretable ML
1977	Multi-Objective Causal Bayesian Optimization Authors: Shriya Bhatija; Paul-David Zuercher; Jakob Thumm; Thomas Bohné Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causality; Multi-Objective Bayesian Optimisation
1978	On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization Authors: Undral Byambadalai; Tomu Hirata; Tatsushi Oka; Shota Yasui Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: treatment effects; field experiments; covariate-adaptive randomization; regression adjustment; causal inference; semiparametric estimation
1979	Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data Authors: Xinshuai Dong; Ignavier Ng; Boyang Sun; Haoyue Dai; Guang-Yuan Hao; Shunxing Fan; Peter Spirtes; Yumou Qiu; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Rank Test; Discretization; Causal Discovery
1980	Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies Authors: Ahmed BOUGHDIRI; Julie Josse; Erwan Scornet Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal inference; Observational data; Risk Ratio
1981	Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport Authors: Yuguang Yan; Zongyu Li; Haolin Yang; Zeqin Yang; Hao Zhou; Ruichu Cai; Zhifeng Hao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Causal inference; continuous treatment; optimal transport
1982	Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation Authors: Minqin Zhu; Zexu Sun; Ruoxuan Xiong; Anpeng Wu; Baohong Li; Caizhi Tang; JUN ZHOU; Fei Wu; Kun Kuang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Uplift Modeling; Causal Ranking; Qini Curve; Marketing
1983	Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery Authors: Mateusz Olko; Mateusz Gajewski; Joanna Wojciechowska; Mikołaj Morzy; Piotr Sankowski; Piotr Miłoś Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal discovery; faithfulness assumption; neural networks
1984	Strategic A/B testing via Maximum Probability-driven Two-armed Bandit Authors: Yu Zhang; Shanshan Zhao; Bokui Wan; Jinjuan Wang; Xiaodong Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: A/B testing; average treatment effect; two-armed bandit; meta-analysis
1985	Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models Authors: Mingjia Li; Hong Qian; Tian-Zuo Wang; ShujunLi; Min Zhang; Aimin Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Optimization-based Causal Discovery; Identifiability; Additive Noise Model; Order Search; Implicit Function
1986	Telling Peer Direct Effects from Indirect Effects in Observational Network Data Authors: Xiaojing Du; Jiuyong Li; Debo Cheng; Lin Liu; Wentao Gao; XIONGREN CHEN; Ziqi Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Estimate Causal Effects; Peer Effects; Causal Mediation Analysis; Graph Neural Networks
1987	Tightening Causal Bounds via Covariate-Aware Optimal Transport Authors: Sirui Lin; Zijun Gao; Jose Blanchet; Peter Glynn Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Partial identification; causal inference; conditional optimal transport
1988	Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation Authors: He Li; Haoang Chi; Mingyu Liu; Wanrong Huang; Liyang Xu; Wenjing Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Counterfactual Outcomes Estimation; Potential Outcome Framework; Spatial-Temporal Data
1989	Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments Authors: Qianglin Wen; Chengchun Shi; YingYang; Niansheng Tang; Hongtu Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: Policy Evaluation; A/B Testing; Reinforcement Learning; Switchback; Experimental Design
1990	Variational Counterfactual Intervention Planning to Achieve Target Outcomes Authors: Xin Wang; Shengfei Lyu; Chi Luo; Xiren Zhou; Huanhuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->causality Recognition: Poster/Regular Keywords: causal inference; counterfactual reasoning; counterfactual target achievement
1991	A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method Authors: Zhengzheng Lou; Hang Xue; Chaoyang Zhang; Shizhe Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-modal clustering; Information bottleneck
1992	Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse Authors: Sayan Bhattacharya; Martin Costa; Ermiya Farokhnejad; Silvio Lattanzi; Nikos Parotsidis Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: clustering algorithm; $k$-center; dynamic algorithms; approximation algorithms
1993	An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective Authors: Xinyue Chen; Jinfeng Peng; YuHao Li; Xiaorong Pu; Yang Yang; Yazhou Ren Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-View Clustering; Federated Learning
1994	COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering Authors: Weixuan Liang; Xinwang Liu; KE LIANG; Jiyuan Liu; En Zhu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multiple Kernel Clustering; Multi-View Clustering
1995	Clustering via Self-Supervised Diffusion Authors: Roy Uziel; Irit Chelly; Oren Freifeld; Ari Pakman Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Self-supervised; Clustering; Diffusion
1996	Correlation Clustering Beyond the Pivot Algorithm Authors: Soheil Behnezhad; Moses Charikar; Vincent Cohen-Addad; Alma Ghafari; Weiyun ma Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Correlation Clustering
1997	Deep Streaming View Clustering Authors: Honglin Yuan; Xingfeng Li; Jian Dai; Xiaojian You; Yuan Sun; Zhenwen Ren Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Streaming view clustering; Multi-view clustering; Concept drift problem; Distributed consistency learning
1998	Dynamic Similarity Graph Construction with Kernel Density Estimation Authors: Steinar Laenen; Peter Macgregor; He Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: similarity graphs; kernel density estimation; spectral clustering
1999	Efficient Federated Incomplete Multi-View Clustering Authors: Suyuan Liu; Hao Yu; Hao Tan; KE LIANG; Siwei Wang; Shengju Yu; En Zhu; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-view Clustering; Incomplete Multi-view Clustering; Federated Learning
2000	Fast Incomplete Multi-view Clustering by Flexible Anchor Learning Authors: Yalan Qin; Guorui Feng; Xinpeng Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-view clustering; anchor learning
2001	Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance Authors: Guoqing Chao; Zhenghao Zhang; Lei Meng; Jie Wen; Dianhui Chu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-View Clustering; Graph Convolutional Networks; Federated Learning
2002	Federated Node-Level Clustering Network with Cross-Subgraph Link Mending Authors: Jingxin Liu; Renda Han; Wenxuan Tu; Haotian Wang; Junlong Wu; Jieren Cheng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Federated Graph Learning; Muti-view Learning; Deep Clustering
2003	From Logits to Hierarchies: Hierarchical Clustering made Simple Authors: Emanuele Palumbo; Moritz Vandenhirtz; Alain Ryser; Imant Daunhawer; Julia E Vogt Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Hierarchical Clustering; Clustering; Interpretability; Unsupervised Learning
2004	From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering Authors: Shengju Yu; Zhibin Dong; Siwei Wang; Suyuan Liu; KE LIANG; Xinwang Liu; Yue Liu; Yi Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-view Clustering; Anchor; Subspace Learning
2005	Generalization Performance of Ensemble Clustering: From Theory to Algorithm Authors: Xu Zhang; Haoye Qiu; Weixuan Liang; Hui LIU; Junhui Hou; Yuheng Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Ensemble clustering; generalization performance; bias and diversity
2006	Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables Authors: Arhit Chakrabarti; Yang Ni; Debdeep Pati; Bani Mallick Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Bayesian nonparametrics; clustering; group-specific variables; approximation error; variational Bayes
2007	Graph Minimum Factorization Distance and Its Application to Large-Scale Graph Data Clustering Authors: Jicong Fan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: clustering; graphs; metric learning
2008	Heterogeneous Sufficient Dimension Reduction and Subspace Clustering Authors: Lei Yan; Xin Zhang; Qing Mai Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: High-dimensional inference; EM algorithm; Mixture model
2009	Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability Authors: Yicheng Pan; Renjie Chen; Pengyu Long; Bingchen Fan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: hierarchical overlapping clustering; approximation algorithm; scalability
2010	Learning from Sample Stability for Deep Clustering Authors: Zhixin Li; Yuheng Jia; Hui LIU; Junhui Hou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Deep clustering; sample stability
2011	Modified K-means Algorithm with Local Optimality Guarantees Authors: Mingyi Li; Michael R. Metel; Akiko Takeda Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: K-means algorithm; local optimality; Bregman divergence
2012	On the Adversarial Robustness of Multi-Kernel Clustering Authors: Hao Yu; Weixuan Liang; KE LIANG; Suyuan Liu; Meng Liu; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-Kernel Clustering; Adversarial Attacks
2013	Online Sparsification of Bipartite-Like Clusters in Graphs Authors: Joyentanuj Das; Suranjan De; He Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: bipartite-like components; sparsification; online algorithms
2014	PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering Authors: Xuqian Xue; Yiming Lei; Qi Cai; Hongming Shan; Junping Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: multi-view clustering; class-imbalanced learning; unbalanced optimal transport; partial optimal transport
2015	Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model Authors: Kaito Ariu; Alexandre Proutiere; Se-Young Yun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Stochastic Block Model; Clustering; Community Detection
2016	Robust Consensus Anchor Learning for Efficient Multi-view Subspace Clustering Authors: Yalan Qin; Nan Pu; Guorui Feng; Nicu Sebe Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Efficient multi-view clustering; consensus anchors; a unified framework.
2017	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation Authors: Yaowenhu; Wenxuan Tu; Yue Liu; Xinhang Wan; Junyi Yan; Taichun Zhou; Xinwang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: 官方列表未公开
2018	Super Deep Contrastive Information Bottleneck for Multi-modal Clustering Authors: Zhengzheng Lou; Ke Zhang; Yucong Wu; Shizhe Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Multi-modal clustering; Information bottleneck; contrastive learning
2019	TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization Authors: Haowen Ma; Zhiguo Long; Hua Meng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: clustering; density-based clustering; mode-seeking; spectral clustering
2020	Unified K-Means Clustering with Label-Guided Manifold Learning Authors: Qianqian Wang; Mengping Jiang; Zhengming Ding; Quanxue Gao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->clustering Recognition: Poster/Regular Keywords: Balanced clustering; unsupervised learning; low-pass filtering distance.
2021	AAAR-1.0: Assessing AI’s Potential to Assist Research Authors: Renze Lou; Hanzi Xu; Sijia Wang; Jiangshu Du; Ryo Kamoi; Xiaoxin Lu; Jian Xie; Yuxuan Sun; Yusen Zhang; Jihyun Janice Ahn; Hongchao Fang; Zhuoyang Zou; Wenchao Ma; Xi Li; Kai Zhan… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: LLMs; Benchmark; AI4Research
2022	AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings Authors: Yilin Ye; Junchao Huang; Xingchen ZENG; Jiazhi Xia; Wei Zeng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Visualization; Cross-modal Embeddings; Text-to-image generation
2023	AutoEval Done Right: Using Synthetic Data for Model Evaluation Authors: Pierre Boyeau; Anastasios Nikolas Angelopoulos; Tianle Li; Nir Yosef; Jitendra Malik; Michael I. Jordan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Prediction-powered inference; model evaluation; large language models; annotation; synthetic data; statistical inference
2024	Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach Authors: Chenyin Gao; Peter B. Gilbert; Larry Han Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Conformal inference; Individualized prediction; Clustering; Surrogate outcomes; Group fairness
2025	CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective Authors: Jiayu Liu; Zhenya Huang; Wei Dai; Cheng Cheng; Jinze Wu; Jing Sha; Song Li; Qi Liu; Shijin Wang; Enhong Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Large Language Models; Human Cognition; Evaluation
2026	Copilot Arena: A Platform for Code LLM Evaluation in the Wild Authors: Wayne Chi; Valerie Chen; Anastasios Nikolas Angelopoulos; Wei-Lin Chiang; Aditya Mittal; Naman Jain; Tianjun Zhang; Ion Stoica; Chris Donahue; Ameet Talwalkar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: evaluation; code; llm
2027	Do Vision-Language Models Really Understand Visual Language? Authors: Yifan Hou; Buse Giledereli; Yilei Tu; Mrinmaya Sachan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: vision-language model; visual language; evaluation; interpretation; diagram
2028	From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline Authors: Tianle Li; Wei-Lin Chiang; Evan Frick; Lisa Dunlap; Tianhao Wu; Banghua Zhu; Joseph E. Gonzalez; Ion Stoica Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: llm; evaluations
2029	From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set Authors: Mara Finkelstein; Daniel Deutsch; Parker Riley; Juraj Juraska; Geza Kovacs; Markus Freitag Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: LLM-as-a-Judge; Autorater; Fine-grained evaluation; Machine Translation; In-context learning
2030	Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Authors: Aleksandr Gushchin; Khaled Abud; Georgii Bychkov; Ekaterina Shumitskaya; Anna Chistyakova; Sergey Lavrushkin; Bader Rasheed; Kirill Malyshev; Dmitriy S. Vatolin; Anastasia Antsife… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: adversarial defenses; image quality assessment; adversarial attacks; image quality metrics; benchmark
2031	High-Dimensional Tensor Regression With Oracle Properties Authors: Wenbin Wang; Yu Shi; Ziping Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: tensor regression; non-convex optimization; oracle properties; high-dimensional statistics; sparse; low rank
2032	KernelBench: Can LLMs Write Efficient GPU Kernels? Authors: Anne Ouyang; Simon Guo; Simran Arora; Alex L Zhang; William Hu; Christopher Re; Azalia Mirhoseini Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Benchmark; GPU Kernel Design; Code Generation
2033	KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling Authors: Shimin Zhang; Ziyuan Ye; Yinsong Yan; Zeyang Song; Yujie Wu; Jibin Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Neural Network Similarity; Neural Data Analysis; Dynamical Systems
2034	LMAct: A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations Authors: Anian Ruoss; Fabio Pardo; Harris Chan; Bonnie Li; Volodymyr Mnih; Tim Genewein Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: in-context learning; imitation learning; multimodal; long context; reasoning; interactive decision-making
2035	MathConstruct: Challenging LLM Reasoning with Constructive Proofs Authors: Mislav Balunovic; Jasper Dekoninck; Nikola Jovanović; Ivo Petrov; Martin Vechev Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: LLM; math; evaluation; benchmark; reasoning
2036	Measuring Diversity in Synthetic Datasets Authors: Yuchang Zhu; Huizhe Zhang; Bingzhe Wu; Jintang Li; Zibin Zheng; Peilin Zhao; Liang Chen; Yatao Bian Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: diversity evaluation; synthetic data; LLMs
2037	Minerva: A Programmable Memory Test Benchmark for Language Models Authors: Menglin Xia; Victor Rühle; Saravan Rajmohan; Reza Shokri Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: LLM evaluation; LLM capability; context utilization; memory benchmark
2038	Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation Authors: Muhammed Yusuf Kocyigit; Eleftheria Briakou; Daniel Deutsch; Jiaming Luo; Colin Cherry; Markus Freitag Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Data contamination; large language models(LLMs); machine translation; LLM evaluation; performance overestimation
2039	PaperBench: Evaluating AI’s Ability to Replicate AI Research Authors: Giulio Starace; Oliver Jaffe; Dane Sherburn; James Aung; Jun Shern Chan; Leon Maksin; Rachel Dias; Evan Mays; Benjamin Kinsella; Wyatt Thompson; Johannes Heidecke; Amelia Glaese;… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: benchmark; evals; evaluations; dataset; tasks; engineering; agents; scaffold; coding; mle; research; r&d
2040	Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations Authors: Evan Frick; Connor Chen; Joseph Tennyson; Tianle Li; Wei-Lin Chiang; Anastasios Nikolas Angelopoulos; Ion Stoica Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: llm; leaderboard; evaluations
2041	RAGGED: Towards Informed Design of Scalable and Stable RAG Systems Authors: Jennifer Hsia; Afreen Shaikh; Zora Zhiruo Wang; Graham Neubig Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Retrieval-Augmented Generation; RAG; Evaluation; Information Retrieval; Question Answering
2042	RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation Authors: Meng-Hao Guo; Jiajun Xu; Yi Zhang; Jiaxi Song; Haoyang Peng; Yi-Xuan Deng; Xinzhi Dong; Kiyohiro Nakayama; Zhengyang Geng; Chen Wang; Bolin Ni; Guo-Wei Yang; Yongming Rao; Houwen… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Evaluation; Benchmark; Large Language Model; Multimodal Model; Reasoning.
2043	RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation Authors: Xinnuo Xu; Rachel Lawrence; Kshitij Dubey; Atharva Pandey; Risa Ueno; Fabian Falck; Aditya V. Nori; Rahul Sharma; Amit Sharma; Javier Gonzalez Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Reasoning; Large Language Models; Causality; Evaluation; Benchmarks
2044	Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing Authors: Han Jiang; Xiaoyuan Yi; Zhihua Wei; Ziang Xiao; Shu Wang; Xing Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Model evaluation; Adaptive testing; Psychometrics; Large language models; Human values; Measurement theory
2045	Reflection-Bench: Evaluating Epistemic Agency in Large Language Models Authors: Lingyu Li; Yixu Wang; Haiquan Zhao; Shuqi Kong; Yan Teng; Chunbo Li; Yingchun Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: large language models; autonomous agent; cognitive psychology
2046	Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression Authors: Benjamin Eyre; David Madras Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: auto-evaluation; prediction-powered-inference; regression; variance-reduction
2047	SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering Authors: Xuehang Guo; Xingyao Wang; Yangyi Chen; Sha Li; Chi Han; Manling Li; Heng Ji Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Collaborative Software Engineering; Collaborative Systems; Human-AI Interaction; Agent Evaluation; Benchmark Construction; Large Language Models
2048	The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference Authors: Zeyu Yang; Wesley Armour Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Energy Efficiency; Green AI; Efficient and Scalable Vision; Sustainability
2049	To Each Metric Its Decoding: Post-Hoc Optimal Decision Rules of Probabilistic Hierarchical Classifiers Authors: Roman Plaud; Alexandre Perez-Lebel; Matthieu Labeau; Antoine Saillenfest; Thomas Bonald Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Hierarchical Classification; Optimal Decoding
2050	TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Authors: Honghua Dong; Jiacheng Yang; Xun Deng; Yuhe Jiang; Gennady Pekhimenko; Fan Long; Xujie Si Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: Benchmark; Type Inference; Untyped Python Repo; Large Language Models; Long-Context; Repo-Level; Software Engineering
2051	Uncertainty Quantification for LLM-Based Survey Simulations Authors: Chengpiao Huang; Yuhang Wu; Kaizheng Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: synthetic data; large language models; uncertainty quantification; simulation
2052	WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales Authors: Drew Prinster; Xing Han; Anqi Liu; Suchi Saria Affiliation: 官方页面未列出 Official area / track: general_machine_learning->evaluation Recognition: Poster/Regular Keywords: AI Safety Monitoring; Conformal Martingale; Conformal Prediction; Changepoint Detection; Sequential Testing; Adaptive Testing; Anytime-Valid Inference; E-value…
2053	BOOD: Boundary-based Out-Of-Distribution Data Generation Authors: Qilin Liao; Shuo Yang; Bo Zhao; Ping Luo; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: OOD detection; Diffusion models; Training data generation
2054	Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set Authors: Enming Liang; Minghua Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Neural Network; Constraint; Feasibility; Projection; Interior Point
2055	Efficient Quantification of Multimodal Interaction at Sample Level Authors: Zequn Yang; Hongfa Wang; Di Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Multimodal interactions; Information measurement; Information decomposition
2056	FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates Authors: Xinyi Lu; Hao Zhang; Chenglin Li; Weijia Lu; ZHIFEI YANG; Wenrui Dai; xiaodong Zhang; Xiaofeng Ma; Can Zhang; Junni Zou; Hongkai Xiong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Federated learning; efficient communication; enhanced generalization
2057	Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning Authors: Zihan Zhou; Yang Zhou; Zijie Zhang; Lingjuan Lyu; Da Yan; Ruoming Jin; Dejing Dou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Machine unlearning; poisoning attack; thrust vector control theory; John's Theorem; polyhedral approximation
2058	G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration Authors: Samuel Holt; Max Ruiz Luyten; Antonin Berthon; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Large Language Models; Generative Simulation; World Models; Simulation-Based Inference; Gradient-Free Optimization; Likelihood-Free Inference; Hybrid Models; C…
2059	Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction Authors: Lars van der Laan; Ahmed Alaa Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Calibration; multicalibration; Venn-Abers; conformal prediction; isotonic calibration; distribution-free; epistemic uncertainty
2060	Interaction-Aware Gaussian Weighting for Clustered Federated Learning Authors: Alessandro Licciardi; Davide Leo; Eros Fanì; Barbara Caputo; Marco Ciccone Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Federated Learning; Clustered Federated Learning
2061	LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation Authors: Li Ding; Hao Zhang; Wenrui Dai; Chenglin Li; Weijia Lu; ZHIFEI YANG; xiaodong Zhang; Xiaofeng Ma; Junni Zou; Hongkai Xiong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Federated learning; low-bit integerized training; network quantization
2062	Large Continual Instruction Assistant Authors: Jingyang Qiao; zhizhong zhang; Xin Tan; Yanyun Qu; Shouhong Ding; Yuan Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Catastrophic Forgetting; Continual Learning; Instruction Tuning; Exponential Moving Average; Large Foundation Models
2063	Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Authors: Ngoc Bui; Menglin Yang; Runjin Chen; Leonardo Neves; Mingxuan Ju; Rex Ying; Neil Shah; Tong Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: backward compatible training; hyperbolic representation learning; alignment
2064	Learning from True-False Labels via Multi-modal Prompt Retrieving Authors: Zhongnian Li; Jinghao Xu; Peng Ying; Meng Wei; Xinzheng Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Weakly supervised learning; True-False labels; Multi-modal prompt retrieving; Multi-class classification
2065	Lightspeed Geometric Dataset Distance via Sliced Optimal Transport Authors: Khai Nguyen; Hai Nguyen; Tuan Pham; Nhat Ho Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Dataset distance; sliced optimal transport; data-centric machine learning; transfer learning
2066	On Volume Minimization in Conformal Regression Authors: Batiste Le bars; Pierre Humbert Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Conformal Prediction; Minimum Volume Sets
2067	On the Diversity of Adversarial Ensemble Learning Authors: Jun-Qi Guo; Meng-Zhang Qian; Wei Gao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Adversarial learning; Ensemble learning; Diversity
2068	Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting Authors: Can Chen; Jun-Kun Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: LLM-Generated Text; Text Source Detection; Sequential Hypothesis Testing; Online Optimization
2069	Online Differentially Private Conformal Prediction for Uncertainty Quantification Authors: Qiangqiang Zhang; Ting Li; Xinwei Feng; Xiaodong Yan; Jinhan Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Conformal Prediction; Differential Privacy; Online Learning
2070	Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications Authors: Maria Despoina Siampou; Jialiang Li; John Krumm; Cyrus Shahabi; Hua Lu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: geometry encoding; geospatial applications; GeoAI
2071	Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning Authors: Fengqiang Wan; Yang Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Incremental Learning
2072	QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval Authors: Jaehyun Kwak; Ramahdani Muhammad Izaaz Inhar; Se-Young Yun; Sung-Ju Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Composed Image Retrieval; Hard Negative Sampling
2073	Scalable Sobolev IPM for Probability Measures on a Graph Authors: Tam Le; Truyen Nguyen; Hideitsu Hino; Kenji Fukumizu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: Sobolev IPM; probability measures on a graph; scalability; integral probability metrics (IPM); Sobolev norm; weighted Lp norm
2074	Statistical Hypothesis Testing for Auditing Robustness in Language Models Authors: Paulius Rauba; Qiyao Wei; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: language models; safety; interpretability; reliability
2075	When to retrain a machine learning model Authors: Florence Regol; Leo Schwinn; Kyle Sprague; Mark Coates; Thomas Markovich Affiliation: 官方页面未列出 Official area / track: general_machine_learning->everything_else Recognition: Poster/Regular Keywords: retraining; sequence modeling; forecasting performance
2076	Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity Authors: Alessandro Pierro; Steven Abreu; Jonathan Timcheck; Philipp Stratmann; Andreas Wild; Sumit Bam Shrestha Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Linear RNNs; Sparsity; Pruning; Quantization; Neuromorphic Hardware
2077	An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning Authors: Chuan Liu; Chunshu Wu; Ruibing Song; Ang Li; Ying Nian Wu; Tong Geng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Dynamical systems; Function learning; Novel computing paradigms
2078	BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation Authors: Lian Liu; Xiandong Zhao; Guanchen Li; Dong Li; Mengdi Wang; Yinhe Han; Xiaowei Li; ying wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: LLM Pruning; Automaic Framework
2079	Compute or Load KV Cache? Why Not Both? Authors: Shuowei Jin; Xueshen Liu; Qingzhao Zhang; Zhuoqing Mao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Prefix caching System Optimization; KV Cache; Low-Latency LLM Inference
2080	HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks Authors: Julia Gusak; Xunyi Zhao; Théotime Le Hellard; Zhe LI; Lionel Eyraud-Dubois; Olivier Beaumont Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Rematerialization; Checkpointing; Memory-Efficient Training; Neural Networks; PyTorch; Integer Linear Programming; Training
2081	LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits Authors: Zikai Zhou; Qizheng Zhang; Hermann Kumbong; Kunle Olukotun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Quantization; LoRA; PEFT
2082	Pfeife: Automatic Pipeline Parallelism for PyTorch Authors: Ho Young Jhoo; Chung-Kil Hur; Nuno P. Lopes Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: Parallel Training; Automatic Parallelism; Pipeline Parallelism; PyTorch
2083	QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring Authors: Nikhil Pratap Ghanathe; Steven J E Wilton Affiliation: 官方页面未列出 Official area / track: general_machine_learning->hardware_and_software Recognition: Poster/Regular Keywords: ML Model monitoring; TinyML; Resource-efficient learning; Uncertainty quantification; Early-exit networks; Trust in ML; Lightweight neural networks; Ensemble l…
2084	Joker: Joint Optimization Framework for Lightweight Kernel Machines Authors: Junhong Zhang; Zhihui Lai Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: unified optimization; large-scale kernel method; lightweight model
2085	K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes Authors: Hideaki Kim; Tomoharu Iwata; Akinori Fujino Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: point processes; kernel methods; kernel intensity estimators; representer theorem; least squares loss
2086	Kernel Quantile Embeddings and Associated Probability Metrics Authors: Masha Naslidnyk; Siu Lun Chau; Francois-Xavier Briol; Krikamol Muandet Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: kernel methods; probability metrics; quantiles
2087	Nested Expectations with Kernel Quadrature Authors: Zonghao Chen; Masha Naslidnyk; Francois-Xavier Briol Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: Kernel Quadrature; Monte Carlo; Kernel Ridge Regression
2088	Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Authors: Jie Wang; March Boedihardjo; Yao Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: Optimal transport; finite-sample guarantees; rank-constrained optimization
2089	Toward Efficient Kernel-Based Solvers for Nonlinear PDEs Authors: Zhitong Xu; Da Long; Yiming Xu; Guang Yang; Shandian Zhe; Houman Owhadi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->kernel_methods Recognition: Poster/Regular Keywords: PDE Solving; Nonlinear PDEs; Kernel methods; Gaussian processes; Machine Learning based Solvers
2090	Active Learning with Selective Time-Step Acquisition for PDEs Authors: Yegon Kim; Hyunsu Kim; Gyeonghoon Ko; Juho Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Active learning; Partial Differential Equation (PDE)
2091	Active feature acquisition via explainability-driven ranking Authors: Osman Berke Guney; Ketan Suhaas Saichandran; Karim Elzokm; Ziming Zhang; Vijaya B Kolachalama Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Active feature acquisition; Policy network; Feature importance
2092	Adaptive Data Collection for Robust Learning Across Multiple Distributions Authors: Chengbo Zang; Mehmet Kerem Turkcan; Gil Zussman; Zoran Kostic; Javad Ghaderi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: online learning; adaptive data collection; multi-armed bandits
2093	Adversarial Combinatorial Semi-bandits with Graph Feedback Authors: Yuxiao Wen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Combinatorial bandits; graph feedback; semi-bandit; adversarial bandits; statistical learning
2094	An Optimistic Algorithm for online CMDPS with Anytime Adversarial Constraints Authors: Jiahui Zhu; Kihyun Yu; Dabeen Lee; Xin Liu; Honghao Wei Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Constrained Reinforcement Learning; Constrained MDP; online learning
2095	AutoAL: Automated Active Learning with Differentiable Query Strategy Search Authors: Yifeng Wang; Xueying Zhan; Siyu Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Active Learning; Differentiable Bi-level Optimization
2096	Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments Authors: Jae-Hong Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Bayesian inference; test-time adaptation; online learning; Kalman filtering
2097	Causal Logistic Bandits with Counterfactual Fairness Constraints Authors: Jiajun Chen; Jin Tian; Christopher John Quinn Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: bandits; causality; fairness
2098	Clustering Items through Bandit Feedback: Finding the Right Feature out of Many Authors: Maximilian Graf; Thuot Victor; Nicolas Verzelen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: clustering; bandit theory; pure exploration; information-theoretic bounds; machine learning
2099	Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method Authors: Kiran Koshy Thekumparampil; Gaurush Hiranandani; Kousha Kalantari; Shoham Sabach; Branislav Kveton Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: active learning; human preference learning; comparison feedback; optimal design; Frank-Wolfe method
2100	Competing Bandits in Matching Markets via Super Stability Authors: Soumya Basu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Bandits; Matching Markets; Stable Matching; Super Stability
2101	Distributionally Robust Active Learning for Gaussian Process Regression Authors: Shion Takeno; Yoshito Okura; Yu Inatsu; Aoyama Tatsuya; Tomonari Tanaka; Akahane Satoshi; Hiroyuki Hanada; Noriaki Hashimoto; Taro Murayama; Hanju Lee; Shinya Kojima; Ichiro Takeu… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Gaussian process; Active learning; distributionally robust; experimental design
2102	Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization Authors: Jianting Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Core-set selection; Dataset pruning; Loss reduction attribution
2103	FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain Authors: Rohan Deb; Kiran Koshy Thekumparampil; Kousha Kalantari; Gaurush Hiranandani; Shoham Sabach; Branislav Kveton Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: active learning; optimal design; supervised fine-tuning; large language models
2104	Fusing Reward and Dueling Feedback in Stochastic Bandits Authors: Xuchuang Wang; Qirun Zeng; Jinhang Zuo; Xutong Liu; Mohammad Hajiesmaili; John C.S. Lui; Adam Wierman Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Relative Feedback; Stochastic Bandits; Dueling Bandits
2105	Improved and Oracle-Efficient Online $\ell_1$-Multicalibration Authors: Rohan Ghuge; Vidya Muthukumar; Sahil Singla Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: online multicalibration; online learning; oracle-efficient algorithms
2106	Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions Authors: Negin Golrezaei; Sourav Sahoo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: multi-unit auctions; value maximizers; bidding strategies; online learning
2107	Near Optimal Best Arm Identification for Clustered Bandits Authors: Yash; Avishek Ghosh; Nikhil Karamchandani Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Best Arm Identification; Multi-Armed Bandits (MAB); Clustered Bandits; Pure Exploration
2108	Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Authors: Yu-Jie Zhang; Peng Zhao; Masashi Sugiyama Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Online Learning; Dynamic Regret; Mixability
2109	On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning Authors: Naram Mhaisen; George Iosifidis Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Online Convex Optimization; FTRL; Dynamic Regret; Optimism
2110	One-Pass Feature Evolvable Learning with Theoretical Guarantees Authors: Cun-Yuan Xing; Meng-Zhang Qian; Wu-Yang Chen; Wei Gao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Feature Evolvable Learning; Kernel Ortho-Mapping; Online Learning
2111	Online Clustering of Dueling Bandits Authors: Zhiyong Wang; Jiahang Sun; Mingze Kong; Jize Xie; Qinghua Hu; John C.S. Lui; Zhongxiang Dai Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Multi-armed bandits; dueling bandits; clustering of bandits
2112	SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors Authors: Saumya Gaurang Shah; Abishek Sankararaman; Balakrishnan Murali Narayanaswamy; Vikramank Singh Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: anomaly detection; online learning; streaming; continual learning
2113	Sample Efficient Demonstration Selection for In-Context Learning Authors: Kiran Purohit; Venktesh V; Sourangshu Bhattacharya; Avishek Anand Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: In-context Learning; Exemplar Selection; Stochastic Linear Bandits; Best Arm Identification
2114	Stochastic Online Conformal Prediction with Semi-Bandit Feedback Authors: Haosen Ge; Hamsa Bastani; Osbert Bastani Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Online Conformal Prediction; Semi-bandit Feedback
2115	Tensor Decomposition Based Memory-Efficient Incremental Learning Authors: Yuhang Li; Guoxu Zhou; Zhenhao Huang; Xinqi Chen; Yuning Qiu; Qibin Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Class Incremental Learning; Continual Learning
2116	Test-Time Adaptation with Binary Feedback Authors: Taeckyung Lee; Sorn Chottananurak; Junsu Kim; Jinwoo Shin; Taesik Gong; Sung-Ju Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: test-time adaptation; domain adaptation; deep learning; machine learning
2117	The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback Authors: Côme Fiegel; Pierre Menard; Tadashi Kozuno; Michal Valko; Vianney Perchet Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Game theory; Bandit; Last-iterate convergence; Online learning
2118	The Relationship Between No-Regret Learning and Online Conformal Prediction Authors: Ramya Ramalingam; Shayan Kiyani; Aaron Roth Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Conformal prediction; no-regret learning; online gradient descent
2119	Unconstrained Robust Online Convex Optimization Authors: Jiujia Zhang; Ashok Cutkosky Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: online learning; corrupted feedback; comparator adaptive
2120	Wait-Less Offline Tuning and Re-solving for Online Decision Making Authors: Jingruo Sun; Wenzhi Gao; Ellen Vitercik; Yinyu Ye Affiliation: 官方页面未列出 Official area / track: general_machine_learning->online_learning_active_learning_and_bandits Recognition: Poster/Regular Keywords: Online Linear Programming; Sequential Decision Making; Resource Allocation
2121	A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings Authors: Shib Sankar Dasgupta; Michael Boratko; Andrew McCallum Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Box Embeddings; Personalized Query; Set-based embeddings; Recommendation
2122	Aligning Multimodal Representations through an Information Bottleneck Authors: Antonio Almudévar; José Miguel Hernández-Lobato; Sameer Khurana; Ricard Marxer; Alfonso Ortega Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: multimodal representation learning; representational alignment; modality gap; information bottleneck
2123	BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition Authors: Fei Long; Xiaoou Li; Jiaming Lv; Haoyuan Yang; Xianjun Cheng; Peihua Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Action recognition; video-language alignment; Brownian distance covariance; CLIP
2124	Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data Authors: Zhe Zhao; HaiBin Wen; Pengkun Wang; ShuangWang; Zhenkun Wang; Qingfu Zhang; Yang Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Neural network pruning，Long-tail learning
2125	Banyan: Improved Representation Learning with Explicit Structure Authors: Mattia Opper; Siddharth N Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Representation Learning; Structure; Semantics; Syntax; Induction; Composition
2126	Complete-Tree Space Favors Data-Efficient Link Prediction Authors: Chi Gao; Lukai Li; Yancheng Zhou; Shangqi Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Complete-Tree Space; Network Embedding; Data-Efficient Learning; Link Prediction
2127	Contextures: Representations from Contexts Authors: Runtian Zhai; Kai Yang; Burak Varıcı; Che-Ping Tsai; J Zico Kolter; Pradeep Kumar Ravikumar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: representation learning; pretraining; learning theory; foundation models; scaling law
2128	Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification Authors: Huang Liang; Benedict Lee; Daniel Hui Loong Ng; Kelin Xia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Topological Deep Learning; Representation Learning; Message-Passing Mechanism
2129	Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning Authors: Md Yousuf Harun; Jhair Gallardo; Christopher Kanan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: OOD Generalization; OOD Detection; Neural Collapse; Simplex ETF; Representation Learning; Transfer Learning
2130	DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning Authors: Yifan Wang; Hourun Li; Yue Ling; Zhiping Xiao; Jia Yang; Changling Zhou; Wei Ju; Ming Zhang; Xiao Luo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: graph fairness; graph neural networks
2131	Deep Fuzzy Multi-view Learning for Reliable Classification Authors: Siyuan Duan; Yuan Sun; Dezhong Peng; Guiduo Duan; Xi Peng; Peng Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Multi-view Learning; Trustworthy Machine Learning; Fuzzy Deep Learning
2132	Deep Unsupervised Hashing via External Guidance Authors: Qihong Song; XitingLiu; Hongyuan Zhu; Joey Tianyi Zhou; Xi Peng; Peng Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Deep Unsupervised Hashing; External Guidance; Contrastive Learning; Image Retrieval
2133	Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap Authors: Xiaoyu Li; Zhao Song; Shenghao Xie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Fourier transform; sparse recovery; derandomization; sublinear time
2134	Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning Authors: Vicente Balmaseda; Bokun Wang; Ching-Long Lin; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: False Negative Discovery; Contrastive Learning; Self-supervised Learning; Machine learning
2135	Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Authors: Julius von Rohrscheidt; Bastian Rieck Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Euler Characteristic Transform; Topology; Geometry; Topological Data Analysis; Topological Deep Learning; Graph Learning
2136	Does Data Scaling Lead to Visual Compositional Generalization? Authors: Arnas Uselis; Andrea Dittadi; Seong Joon Oh Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: ML; compositionality; generalization; OOD generalization; scaling; transfer learning
2137	Efficient LiDAR Reflectance Compression via Scanning Serialization Authors: Jiahao Zhu; Kang You; Dandan Ding; Zhan Ma Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: lidar point cloud; attribute compression; lossless coding; probability prediction
2138	FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation Authors: Kei Sen Fong; Mehul Motani Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: FEAT; Knowledge Distillation; Symbolic Regression
2139	Improving Multimodal Learning Balance and Sufficiency through Data Remixing Authors: Xiaoyu Ma; Hao Chen; Yongjian Deng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Machine Learning; Representation Learning
2140	Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data Authors: Yunze Tong; Fengda Zhang; Zihao Tang; Kaifeng Gao; Kai Huang; Pengfei Lyu; Jun Xiao; Kun Kuang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: robustness; score model; reweighting
2141	Learning Distances from Data with Normalizing Flows and Score Matching Authors: Peter Sorrenson; Daniel Behrend-Uriarte; Christoph Schnoerr; Ullrich Koethe Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: density-based distance; Fermat distance; Riemannian geometry; representation learning; normalizing flows; score matching
2142	Learning Invariant Causal Mechanism from Vision-Language Models Authors: Zeen Song; Siyu Zhao; Xingyu Zhang; Jiangmeng Li; Changwen Zheng; Wenwen Qiang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Vision-Language Models; Causal representation Learning; Out-of-distribution generalization; Representation Learning
2143	Learning Optimal Multimodal Information Bottleneck Representations Authors: Qilong Wu; Yiyang Shao; Jun Wang; Xiaobo Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Multimodal Learning; Information Bottleneck
2144	Learning Single Index Models with Diffusion Priors Authors: Anqi Tang; Youming Chen; Shuchen Xue; Zhaoqiang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Single index models; diffusion priors; inversion of diffusion models
2145	Learning Vision and Language Concepts for Controllable Image Generation Authors: Shaoan Xie; Lingjing Kong; Yujia Zheng; Zeyu Tang; Eric P. Xing; Guangyi Chen; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Concept; Identifiability; Controllable text-to-image
2146	Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space Authors: Max van Spengler; Pascal Mettes Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Hyperbolic Geometry; Hyperbolic Tree Embeddings; Representation Learning; Hierarchical Learning
2147	MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification Authors: Suchith Chidananda Prabhu; Bhavyajeet Singh; Anshul Mittal; Siddarth Asokan; Shikhar Mohan; Deepak Saini; Yashoteja Prabhu; Lakshya Kumar; Jian Jiao; Amit S; Niket Tandon; Manish… Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Extreme Classification; XC; XML; XMC; Transformers; Metadata; Auxiliary information; Information Retrieval; Regularization; Supervised Learning; Memory-based M…
2148	Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries Authors: Yuena Lin; Haichun Cai; Jun-Yi Hang; Haobo Wang; Zhen Yang; Gengyu Lyu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Graph contrastive learning; Classification; Clustering
2149	Mixed-curvature decision trees and random forests Authors: Philippe Chlenski; Quentin Chu; Raiyan R. Khan; Kaizhu Du; Antonio Khalil Moretti; Itsik Pe'er Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: representation learning; non-euclidean geometry; decision trees; random forests; hyperbolic geometry; hyperspherical geometry
2150	Nonparametric Identification of Latent Concepts Authors: Yujia Zheng; Shaoan Xie; Kun Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Concept Learning; Compositional Learning; Nonparametric Identification
2151	On the Importance of Embedding Norms in Self-Supervised Learning Authors: Andrew Draganov; Sharvaree Vadgama; Sebastian Damrich; Jan Niklas Böhm; Lucas Maes; Dmitry Kobak; Erik J Bekkers Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Representation Learning; Embedding Norm; Network Confidence; Self-Supervised Learning
2152	PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning Authors: Angel Villar-Corrales; Sven Behnke Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: object-centric video prediction; object-centric learning; inverse dynamics learning; action planning
2153	Random Feature Representation Boosting Authors: Nikita Zozoulenko; Thomas Cass; Lukas Gonon Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: random features; gradient boosting; gradient representation boosting; residual neural networks; resnets; tabular data; supervised learning; random feature neur…
2154	ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals Authors: Yuanchao Xu; Kaidi Shao; Nikos K. Logothetis; Zhongwei Shen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Koopman operator; data driven dynamical system; dictionary learning; spectral analysis
2155	Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation Authors: Jian Bi; Qianliang Wu; Xiang Li; Shuo Chen; Jianjun Qian; lei luo; Jian Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: 3D Point Cloud; Homeomorphism; Data Augmentation
2156	Revisiting Neural Networks for Few-Shot Learning: A Zero-Cost NAS Perspective Authors: Haidong Kang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Few-shot learning; Training-free; MAML; Representation Learning
2157	SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning Authors: Junyou Zhu; Langzhou He; Chao Gao; Dongpeng Hou; Zhen Su; Philip S. Yu; Juergen Kurths; Frank Hellmann Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Graph Representation Learning; Graph Diffusion Model; Diffusion Probabilistic Models; Graph Self-supervised Learning
2158	SHE: Streaming-media Hashing Retrieval Authors: Ruitao Pu; Yang Qin; Xiaomin Song; Dezhong Peng; Zhenwen Ren; Yuan Sun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: cross-modal retrieval; cross-modal hashing; streaming-media
2159	TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Authors: Ziang Zhou; Zhihao Ding; Jieming Shi; Li Qing; Shiqi Shen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: GNN2MLP distillation; knowledge distillation
2160	TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion Authors: Jiujiang Guo; Mankun Zhao; Wenbin Zhang; Tianyi Xu; Linying Xu; Yu Jian; Yu Mei; Yu Ruiguo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Knowledge graph; Knowledge graph completion
2161	The Complexity of Learning Sparse Superposed Features with Feedback Authors: Akash Kumar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Feature Learning; Sparse Features; Superposition; Dictionary Learning; Learning with feedbacks; Linear Representation Hypothesis
2162	The Generalized Skew Spectrum of Graphs Authors: Armando Bellante; Martin Plávala; Alessandro Luongo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Machine Learning; ICML; graph representation; invariant; permutation; generalized skew spectrum; embedding; group theory; representation theory; fourier transf…
2163	Towards the Causal Complete Cause of Multi-Modal Representation Learning Authors: Jingyao Wang; Siyu Zhao; Wenwen Qiang; Jiangmeng Li; Changwen Zheng; Fuchun Sun; Hui Xiong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Multi-Modal Representation Learning; Causal Sufficiency and Necessity
2164	Vision-Language Model Selection and Reuse for Downstream Adaptation Authors: Hao-Zhe Tan; Zhi Zhou; Yu-feng Li; Lan-Zhe Guo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: Vision-Langage Model; Model Selection; Model Reuse
2165	Volume-Aware Distance for Robust Similarity Learning Authors: Shuo Chen; Chen Gong; Jun Li; Jian Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->representation_learning Recognition: Poster/Regular Keywords: similarity learning; metric learning; contrastive learning; volume-aware; theoretical analysis
2166	Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees Authors: Nate Veldt; Thomas Stanley; Benjamin W Priest; Trevor Steil; Keita Iwabuchi; T.S. Jayram; Geoffrey Sanders Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: minimum spanning trees; learning-augmented algorithms; general metric spaces; graph algorithms
2167	Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows Authors: Gabriele Visentin; Patrick Cheridito Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Optimal transport; Wasserstein barycenter; Normalizing Flows
2168	DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence Authors: Yang Jiao; Kai Yang; Chengtao Jian Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Distributed Algorithm; Trilevel Optimization; Zeroth-Order Optimization
2169	Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant Authors: Fabio Feser; Marina Evangelou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: penalized regression; screening rules; karush–kuhn–tucker; lasso; high-dimensional; sparse-group; feature reduction
2170	ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces Authors: Jinbin Zhang; Nasib Ullah; Erik Schultheis; Rohit Babbar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Extreme Multi-Label Classification; Low-Precision Training; Peak Memory Optimization; FLOAT8 training
2171	Efficient Network Automatic Relevance Determination Authors: Hongwei Zhang; Ziqi Ye; Xinyuan Wang; Xin Guo; Zenglin Xu; Yuan Cheng; Zixin Hu; Yuan Qi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Automatic Relevance Determination; Graphical Lasso
2172	Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions Authors: Supratim Shit; Gurmehak kaur chadha; Surendra kumar; Bapi Chatterjee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Vertical Federated Learning; Coresets; Logistic Regression; Ridge Regression; Regularization; Regularized Sensitivity Score
2173	Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence Authors: İlker Işık; Ramazan Gokberk Cinbis; Ebru Aydin Gol Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: embedding methods; interchangeable tokens; extendable vocabulary; transformer models; linear temporal logic; propositional logic; formal reasoning; token gener…
2174	Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks Authors: Maricela Best Mckay; Avleen Kaur; Chen Greif; Brian Wetton Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Sci-ML; Physics Informed Neural Networks; Natural Gradients; Sketching
2175	Permutation-Free High-Order Interaction Tests Authors: Zhaolu Liu; Robert Peach; Mauricio Barahona Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: high-order interaction; kernel method; permutation-free
2176	Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures Authors: Jie Gao; Rajesh Jayaram; Benedikt Kolbe; Shay Sapir; Chris Schwiegelshohn; Sandeep Silwal; Erik Waingarten Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Dimensionality Reduction; Dimension Reduction; Geometric Optimization; Johnson Lindenstrauss; Diversity Maximization; Diversity
2177	SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization Authors: Runsheng Bai; Bo Liu; qiang liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: model quantization; large language model; efficient inference
2178	Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging Authors: Pierre Ablin; Angelos Katharopoulos; Skyler Seto; David Grangier Affiliation: 官方页面未列出 Official area / track: general_machine_learning->scalable_algorithms Recognition: Poster/Regular Keywords: Pre-training; Specialization; Domain Adaptation; small models
2179	Conformal Anomaly Detection in Event Sequences Authors: Shuai Zhang; Chuan Zhou; Yang Liu; Peng Zhang; Xixun Lin; Shirui Pan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Conformal Inference; Anomaly Detection; Event Sequence; Temporal Point Process
2180	GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code Authors: Samidha Verma; Arushi Goyal; Ananya Mathur; Ankit Anand; Sayan Ranu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Graph Edit Distance; Large Language Model; Code Discovery; Cross-domain generalization; Interpretability
2181	Geometric Contact Flows: Contactomorphisms for Dynamics and Control Authors: Andrea Testa; Søren Hauberg; Tamim Asfour; Leonel Rozo Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Contact geometry; Riemannian geometry; contact Hamiltonian dynamics; Dynamical systems; Diffeomorphisms
2182	KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks Authors: Quan Zhou; Changhua Pei; Fei Sun; HanJing; Zhengwei Gao; Haiming Zhang; Gaogang Xie; Dan Pei; Jianhui li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: anomaly detection; time series analysis
2183	KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis Authors: Hanru Bai; Weiyang Ding Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Neural ODE; Koopman Operators; Parameter Modeling; Time Series Analysis; Dynamics Modeling
2184	Learning Changes in Graphon Attachment Network Models Authors: Xinyuan Fan; Bufan Li; Chenlei Leng; Weichi Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Graphon attachment networks; subgraph counts; change-point detection; piecewise polynomial signals
2185	Provable Length Generalization in Sequence Prediction via Spectral Filtering Authors: Annie Marsden; Evan Dogariu; Naman Agarwal; Xinyi Chen; Daniel Suo; Elad Hazan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: sequence prediction; length generalization
2186	Relational Conformal Prediction for Correlated Time Series Authors: Andrea Cini; Alexander Jenkins; Danilo Mandic; Cesare Alippi; Filippo Maria Bianchi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: uncertainty quantification; conformal prediction; time series forecasting; graph deep learning
2187	Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis Authors: Ruoxin Yuan; Guanhua Fang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Temporal point process; EasyTPP; residual; event stream; weighted method
2188	Sample Complexity of Correlation Detection in the Gaussian Wigner Model Authors: Dong Huang; Pengkun Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Correlation detection; Gaussian Wigner model; graph sampling; sample complexity; induced subgraphs; efficient algorithm
2189	Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators Authors: Srinath Dama; Kevin Course; Prasanth B. Nair Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: spatio-temporal modeling; time-series modeling; time-shift operator; Khatri-Rao neural operator; neural operator; operator learning; time-series forecasting
2190	Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling Authors: Tianyu Liu; Kai Sun; Fuchun Sun; Yu Luo; Yuanlong Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: time series forecasting; long-term prediction; model convergence; fat-tailed distributions
2191	Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification Authors: Shikang Liu; Chuyang Wei; Xiren Zhou; Huanhuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Reservoir Computing; Spectral Awareness; Classification; Time Series
2192	Time Series Representations with Hard-Coded Invariances Authors: Thibaut Germain; Chrysoula Kosma; Laurent Oudre Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Time Series; Invariances; Neural Networks; Convolutions
2193	TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation Authors: Daoyu Wang; Mingyue Cheng; Zhiding Liu; Qi Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: time series; self-supervised learning; diffusion model
2194	TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree Authors: Yu-Yang Qian; Yuan-Ze Xu; Zhen-Yu Zhang; Peng Zhao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: Continual Learning; Supervised Fine-Tuning; Large Pre-trained Models; Low-Rank Adaptation; Hierarchical Task Structure
2195	VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters Authors: Mouxiang Chen; Lefei Shen; Zhuo Li; Xiaoyun Joy Wang; Jianling Sun; Chenghao Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->sequential_network_and_time_series_modeling Recognition: Poster/Regular Keywords: time series forecasting; foundation models; transfer learning
2196	Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ Authors: Shengbin Ye; Meng Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Symbolic regression; Nonparametric variable selection; Extreme-scale datasets
2197	Approximately Correct Label Distribution Learning Authors: Weiwei Li; Haitao Wu; Yunan Lu; Xiuyi Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: label distribution learning; approximate correctness; label polysemy
2198	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data Authors: Corinna Cortes; Anqi Mao; Mehryar Mohri; Yutao Zhong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: imbalanced data; consistency; margin bounds; learning theory
2199	Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation Authors: Michal Lukasik; Lin Chen; Harikrishna Narasimhan; Aditya Krishna Menon; Wittawat Jitkrittum; Felix X. Yu; Sashank J. Reddi; Gang Fu; Mohammadhossein Bateni; Sanjiv Kumar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: learning to rank; area under the curve; multi-objective optimization
2200	Compressing tree ensembles through Level-wise Optimization and Pruning Authors: Laurens Devos; Timo Martens; Deniz Can Oruc; Wannes Meert; Hendrik Blockeel; Jesse Davis Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: ensembles; decision forests; model efficiency; energy efficiency; verification; compression
2201	Concentration Distribution Learning from Label Distributions Authors: Jiawei Tang; Yuheng Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Label distribution learning; background concentration; concentration distribution learning
2202	Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning Authors: Xinrui Wang; Shao-Yuan Li; Jiaqiang Zhang; Songcan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: multi-label learning; online continual learning
2203	Divide and Conquer: Learning Label Distribution with Subtasks Authors: Haitao Wu; Weiwei Li; Xiuyi Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: label distribution learning; subtask; label polysemy
2204	ENSUR: Equitable and Statistically Unbiased Recommendation Authors: Nitin Bisht; Xiuwen Gong; Guandong Xu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Dynamic Prediction Sets
2205	Enhancing Logits Distillation with Plug&Play Kendall's $\tau$ Ranking Loss Authors: Yuchen Guan; Runxi Cheng; Kang Liu; Chun Yuan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Kendall's tau Coefficient; Ranking Loss
2206	Enhancing Target-unspecific Tasks through a Features Matrix Authors: Fangming Cui; Yonggang Zhang; Xuan Wang; Xinmei Tian; Jun Yu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Prompt learning
2207	EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification Authors: Ben Dai Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: classification-calibration; ensemble learning; statistical consistency; surrogate loss; stochastic regularization
2208	Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Authors: Sicong Li; Qianqian Xu; Zhiyong Yang; Zitai Wang; Linchao Zhang; Xiaochun Cao; Qingming Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Long-tailed Learning
2209	Generalized additive models via direct optimization of regularized decision stump forests Authors: Magzhan Gabidolla; Miguel Á. Carreira-Perpiñán Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: generalized additive models; interpretability; decision forests
2210	Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning Authors: Yang Li; Jiale Ma; Yebin Yang; Qitian Wu; Hongyuan Zha; Junchi Yan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Supervised Learning; Generative Models; Consistency Models
2211	Gradient Aligned Regression via Pairwise Losses Authors: Dixian Zhu; Tianbao Yang; Livnat Jerby Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Regression; Pairwise Losses
2212	Human Cognition-Inspired Hierarchical Fuzzy Learning Machine Authors: Junbiao Cui; Qin Yue; Jianqing Liang; Jiye Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Classification; Cognitive Science; Quotient Space
2213	Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques Authors: Alon Arad; Saharon Rosset Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Machine Learning; Calibration; Multi-class; Isotonic Regression; Uncertainty Estimation
2214	LADA: Scalable Label-Specific CLIP Adapter for Continual Learning Authors: Mao-Lin Luo; Zi-Hao Zhou; Tong Wei; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Continual Learning; Vision-Language Model
2215	Label Distribution Propagation-based Label Completion for Crowdsourcing Authors: Tong Wu; Liangxiao Jiang; Wenjun Zhang; Chaoqun Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Crowdsourcing learning; Label completion; Worker similarity; Label distribution propagation
2216	Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification Authors: Jie Wen; Yadong Liu; Zhanyan Tang; Yuting He; Yulong Chen; Mu Li; Chengliang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Multi-view multi-label classification; Incomplete multi-view learning; Missing multi-label classification
2217	Learning Imbalanced Data with Beneficial Label Noise Authors: Guangzheng Hu; Feng Liu; Mingming Gong; Guanghui Wang; Liuhua Peng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Imbalanced learning; beneficial label noise; classification accuracy; decision boundary
2218	Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty Authors: Yeseul Cho; Baekrok Shin; Changmin Kang; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Dataset Pruning; Coreset Selection; Example Difficulty; Prediction Uncertainty
2219	Multivariate Conformal Selection Authors: Tian Bai; Yue Zhao; Xiang Yu; Archer Y. Yang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Uncertainty Quantification; Machine Learning; Model-free Selective Inference; Conformal Inference; Multivariate Responses
2220	Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms Authors: Kei Sen Fong; Mehul Motani Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Symbolic Regression; Benchmark
2221	Predictive Performance of Deep Quantum Data Re-uploading Models Authors: Xin Wang; Hanxiao Tao; Rebing Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Quantum machine learning; Data re-uploading; Predictive performance
2222	Preserving AUC Fairness in Learning with Noisy Protected Groups Authors: Mingyang Wu; Li Lin; Wenbin Zhang; Xin Wang; Zhenhuan Yang; Shu Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Robust Machine Learning; AUC Optimization; Fairness
2223	Principled Algorithms for Optimizing Generalized Metrics in Binary Classification Authors: Anqi Mao; Mehryar Mohri; Yutao Zhong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: learning theory; consistency; generalized metrics
2224	Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation Authors: Guanglong Sun; Hongwei Yan; Liyuan Wang; Qian Li; Bo Lei; Yi Zhong Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Knowledge Distillation; Brain-inspired Al; Machine Learning; Spacing effect
2225	Stabilizing Sample Similarity in Representation via Mitigating Random Consistency Authors: Jieting Wang; ZhangZelong; Feijiang Li; Yuhua Qian; Xinyan Liang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Loss function; Random consistency; Generalization bound; Similarty matrix
2226	Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters Authors: Lixin Yuan; Yirui Wu; Wenxiao Zhang; Minglei Yuan; Jun Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Feature selection; stray intrusive outliers; refined density-mean center; data classification
2227	Survival Analysis via Density Estimation Authors: Hiroki Yanagisawa; Shunta Akiyama Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: survival analysis; time-to-event analysis; competing risks; density estimation
2228	Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank Authors: Qiyu Zhong; Yi Shan; Haobo Wang; Zhen Yang; Gengyu Lyu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Multi-view learning; Multi-label Learning
2229	Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification Authors: Teng Huang; Bin-Bin Jia; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: Multi-Dimensional Classification; Class Dependency Modeling
2230	Understanding the Unfairness in Network Quantization Authors: Bing Liu; Wenjun Miao; Boyu Zhang; Qiankun Zhang; Bin Yuan; Jing Wang; Shenghao Liu; Xianjun Deng Affiliation: 官方页面未列出 Official area / track: general_machine_learning->supervised_learning Recognition: Poster/Regular Keywords: model quantization; supervised learning; fairness
2231	A Selective Learning Method for Temporal Graph Continual Learning Authors: Hanmo Liu; Shimin Di; Haoyang LI; Xun Jian; Yue Wang; Lei Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Data Selection; Continual Learning; Temporal Graph
2232	BECAME: Bayesian Continual Learning with Adaptive Model Merging Authors: Mei Li; Yuxiang Lu; Qinyan Dai; Suizhi Huang; Yue Ding; Hongtao Lu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Continual Learning; Incremental Learning; Model Merging
2233	BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing Authors: Yuhua Zhou; Ruifeng Li; Changhai Zhou; Fei Yang; Aimin PAN Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; parameter-sharing
2234	Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning Authors: Wenke Huang; Jian Liang; Guancheng Wan; Didi Zhu; He Li; Jiawei Shao; Mang Ye; Bo Du; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: 官方列表未公开
2235	CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging Authors: zongzhen yang; Binhang Qi; Hailong Sun; Wenrui Long; Ruobing Zhao; Xiang Gao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model Merging; Pruning Technique; Task Vectors; Large Language Models; Conflict-Aware Sparsity (CA); Balanced Sparsity (BS)
2236	CALM: Consensus-Aware Localized Merging for Multi-Task Learning Authors: Kunda Yan; Min Zhang; Sen Cui; Qu Zikun; Bo Jiang; Feng Liu; Changshui Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: model merging; multi-task learning; global task consensus; localized merging
2237	CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging Authors: Wenju Sun; Qingyong Li; Yangliao Geng; Boyang Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Multi-task Learning; Model Merging; Knowledge Conflict
2238	DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation Authors: Yunbei Zhang; Akshay Mehra; Shuaicheng Niu; Jihun Hamm Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Continual Test-Time Adaptation; Visual Prompt; Transfer Learning
2239	Does learning the right latent variables necessarily improve in-context learning? Authors: Sarthak Mittal; Eric Elmoznino; Leo Gagnon; Sangnie Bhardwaj; Guillaume Lajoie; Dhanya Sridhar Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: in-context learning; transformers; attention; latent variable; shortcuts
2240	Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Authors: Yun Qu; Cheems Wang; Yixiu Mao; Yiqin Lv; Xiangyang Ji Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Meta Learning; Robust Reinforcement Learning
2241	Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks Authors: Benjamin Leblanc; Mathieu Bazinet; Nathaniel D'Amours; Alexandre Drouin; Pascal Germain Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Meta-learning; Pac-Bayes; Sample Compression; Hypernetworks
2242	Homophily Enhanced Graph Domain Adaptation Authors: Ruiyi Fang; Bingheng Li; Jingyu Zhao; Ruizhi Pu; QIUHAO Zeng; Gezheng Xu; Charles Ling; Boyu Wang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Graph Domain Adaptation; Transfer Learning
2243	Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers Authors: Filip Szatkowski; Yaoyue Zheng; Fei Yang; Tomasz Trzcinski; Bartłomiej Twardowski; Joost van de Weijer Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Continual Learning; Class-incremental Learning; Early-exits
2244	In-Context Learning and Occam's Razor Authors: Eric Elmoznino; Tom Marty; Tejas Kasetty; Leo Gagnon; Sarthak Mittal; Mahan Fathi; Dhanya Sridhar; Guillaume Lajoie Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: generalization; complexity; compression; in-context learning; meta-learning
2245	Knowledge-Guided Wasserstein Distributionally Robust Optimization Authors: Zitao Wang; Ziyuan Wang; Molei Liu; Nian Si Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: wasserstein distributionally robust optimization; knowledge-guided learning; difference-of-convex optimization; shrinkage-based transfer learning
2246	Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains Authors: Zhuo He; Shuang Li; Wenze Song; Longhui Yuan; Jian Liang; Han Li; Kun Gai Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Evolving Domain Generalization; Causal Representation Learning
2247	Learnware Specification via Dual Alignment Authors: Wei Chen; Jun-Xiang Mao; Xiaozheng Wang; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Learnware paradigm; learnware specification; model reuse
2248	Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression Authors: Andong Wang; Yuning Qiu; Zhong Jin; Guoxu Zhou; Qibin Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: tensor regression; tensor singular value decomposition; tensor recovery; tensor nuclear norm
2249	Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent Authors: Yongxian Wei; Anke Tang; Li Shen; Zixuan Hu; Chun Yuan; Xiaochun Cao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model Merging; Task Vector; Gradient Projection
2250	NegMerge: Sign-Consensual Weight Merging for Machine Unlearning Authors: Hyo Seo Kim; Dongyoon Han; Junsuk Choe Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Machine Unlearning; Image Classification; Model Merging
2251	No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces Authors: Daniel Marczak; Simone Magistri; Sebastian Cygert; Bartłomiej Twardowski; Andrew D. Bagdanov; Joost van de Weijer Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model merging
2252	PTTA: Purifying Malicious Samples for Test-Time Model Adaptation Authors: Jing Ma; Hanlin Li; Xiang Xiang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Test-Time Adaptation; Malicious Sample Purification
2253	Parameter-Efficient Fine-Tuning of State Space Models Authors: Kevin Galim; Wonjun Kang; Yuchen Zeng; Hyung Il Koo; Kangwook Lee Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: parameter-efficient fine-tuning; state space model; mamba; lora
2254	Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging Authors: Weiyu Chen; James Kwok Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Model Merging
2255	Positive-unlabeled AUC Maximization under Covariate Shift Authors: Atsutoshi Kumagai; Tomoharu Iwata; Hiroshi Takahashi; Taishi Nishiyama; Kazuki Adachi; Yasuhiro Fujiwara Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Distribution shift; Covariate shift; AUC; PU learning; Imbalanced data
2256	Predicting the Susceptibility of Examples to Catastrophic Forgetting Authors: Guy Hacohen; Tinne Tuytelaars Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: continual learning; catastrophic forgetting; replay buffer; simplicity bias
2257	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting Authors: Chen Huang; Skyler Seto; Hadi Pouransari; Mehrdad Farajtabar; Raviteja Vemulapalli; Fartash Faghri; Oncel Tuzel; Barry-John Theobald; Joshua M. Susskind Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Proxy-FDA; robust fine-tuning; concept forgetting; vision foundation model
2258	QT-DoG: Quantization-Aware Training for Domain Generalization Authors: Saqib Javed; Hieu Le; Mathieu Salzmann Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Domain Generalization; Quantization; Ensemble; Network Compression; Flat Minima; Regularization
2259	R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts Authors: Zhongyang Li; Ziyue Li; Tianyi Zhou Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: mixture-of-experts; test-time optimization; multimodal models
2260	Random Registers for Cross-Domain Few-Shot Learning Authors: Shuai Yi; Yixiong Zou; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Cross-Domain Few-Shot Learning
2261	RepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts Authors: Tuan Truong; Chau Nguyen; Huy Nguyen; Minh Le; Trung Le; Nhat Ho Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Parameter-efficient fine-tuning; Low-rank adaptation; Reparameterization; Mixture of experts
2262	Representation Surgery in Model Merging with Probabilistic Modeling Authors: Qi Wei; Shuo He; Enneng Yang; Tingcong Liu; Haobo Wang; Lei Feng; Bo An Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model Merging; Representation Learning
2263	Scalable Model Merging with Progressive Layer-wise Distillation Authors: Jing Xu; Jiazheng Li; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model Merging; Task Vector; Distillation
2264	Self-Bootstrapping for Versatile Test-Time Adaptation Authors: Shuaicheng Niu; Guohao Chen; Peilin Zhao; Tianyi Wang; Pengcheng Wu; Zhiqi Shen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: test-time adaptation
2265	Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation Authors: Jintao Tong; Yixiong Zou; Guangyao Chen; Yuhua Li; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Disentanglement; Composition; Few-shot; Transfer Learning
2266	Set Valued Predictions For Robust Domain Generalization Authors: Ron Tsibulsky; Daniel Nevo; Uri Shalit Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Set Valued Prediction; Domain Generalization; PAC Learnability
2267	Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration Authors: Xinjie Yao; Yu Wang; Pengfei Zhu; Wanyu Lin; Ruipu Zhao; Zhoupeng Guo; Weihao Li; Qinghua Hu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: socialized coevolution; cross-task collaboration; dynamic weighting; knowledge interaction
2268	Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation Authors: Junyu Luo; Yuhao Tang; yiwei Fu; Xiao Luo; Zhizhuo KOU; Zhiping Xiao; Wei Ju; Wentao Zhang; Ming Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Unsupervised Graph Domain Adaptation; Domain Adaptation; Data-efficient Graph Learning
2269	Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models Authors: Liangchen Liu; Nannan Wang; Xi Yang; Xinbo Gao; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: transfer learning; prompt learning; vision-language model; parameter-efficient fine-tuning
2270	Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data Authors: MingCai Chen; Baoming Zhang; Zongbo Han; Wenyu Jiang; Yanmeng Wang; Shuai Feng; Yuntao Du.; Bingkun BAO Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: test-time adaptation; multi-modal learning
2271	Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes Authors: Yusheng Zhao; Qixin Zhang; Xiao Luo; Junyu Luo; Wei Ju; Zhiping Xiao; Ming Zhang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: test-time adaptation; graph neural networks
2272	Test-time Correlation Alignment Authors: Linjing You; Jiabao Lu; Xiayuan Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Test-time adaptation; Correlation alignment
2273	Text-to-LoRA: Instant Transformer Adaption Authors: Rujikorn Charakorn; Edoardo Cetin; Yujin Tang; Robert Tjarko Lange Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: hypernetworks; test-time adaptation; low-rank adaptation; language models; transformers; meta-learning
2274	Update Your Transformer to the Latest Release: Re-Basin of Task Vectors Authors: Filippo Rinaldi; Giacomo Capitani; Lorenzo Bonicelli; Donato Crisostomi; Federico Bolelli; ELISA FICARRA; Emanuele Rodolà; Simone Calderara; Angelo Porrello Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: weight interpolation; transfer learning; model rebasin; model editing; model patching
2275	WeGeFT: Weight‑Generative Fine‑Tuning for Multi‑Faceted Efficient Adaptation of Large Models Authors: Chinmay Savadikar; Xi Song; Tianfu Wu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Parameter-Efficient Fine-Tuning
2276	When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need Authors: Ziming Hong; Runnan Chen; Zengmao Wang; Bo Han; Bo Du; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Data-free Knowledge Distillation; Non-Transferable Learning
2277	Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors Authors: Runxi Cheng; Feng Xiong; Yongxian Wei; Wanyun Zhu; Chun Yuan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Model Merging; Data-Free; Multi-task Learning
2278	Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models Authors: Farzad Farhadzadeh; Debasmit Das; Shubhankar Borse; Fatih Porikli Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Diffusion Model; parameter efficient fine tuning; Low rank adaptation; transfer learning
2279	Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer Authors: Yulun Wu; Doron L Bergman Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: zero-shot; meta-learning; adversarial training; tabular deep learning; bayesian inference; in-context learning
2280	iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Authors: Huahui Yi; Wei Xu; Ziyuan Qin; Xi Chen; Xiaohu Wu; Kang Li; Qicheng Lao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->transfer_multitask_and_metalearning Recognition: Poster/Regular Keywords: Continual Learning.+Medical Object Detection
2281	A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning Authors: Yaxin Hou; Yuheng Jia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Long tailed learning; semi-supervised learning
2282	A Theoretical Framework For Overfitting In Energy-based Modeling Authors: Giovanni Catania; Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: energy-based models; overfitting; random-matrix theory; inverse problems; early-stopping; training dynamics; Bolzmann Machine
2283	Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification Authors: Yuanchao Dai; Ximing Li; Changchun Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: weakly supervised classification; error bound; confidence-difference classification
2284	Cover learning for large-scale topology representation Authors: Luis Scoccola; Uzu Lim; Heather A. Harrington Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: topological data analysis; cover; simplicial complex; topological inference; mapper; manifold learning
2285	Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate Authors: Yifan Fang; Yifei Fang; Ruizhe Chen; Haote Xu; Xinghao Ding; Yue Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Anomaly Detection; Unsupervised Learning; Factor Model; Demeaned Sparse
2286	Diversified Flow Matching with Translation Identifiability Authors: Sagar Shrestha; Xiao Fu Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: unsupervised domain translation; flow matching; GAN; identifiability
2287	E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time Authors: Adam Breuer Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Topic models; Causal inference; Social Science; Latent Dirichlet Allocation (LDA); Natural language processing; Text.
2288	Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Authors: Ziyu Gong; Jim Lim; David I. Inouye Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Distribution Matching; Latent Representation; Score-Based Models; Diffusion Models
2289	Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization Authors: Duo Liu; Zhiquan Tan; Linglan Zhao; Zhongqiang Zhang; Xiangzhong Fang; Weiran Huang Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Generalized Category Discovery，Distribution Regularization
2290	Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin Authors: Yuchen Wang; Xuefeng Bai; Xiucheng Li; Weili Guan; Liqiang Nie; Xinyang Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: semi-supervised learning; unsupervised learning; vision-language models; prompt tuning
2291	Learning to Match Unpaired Data with Minimum Entropy Coupling Authors: Mustapha BOUNOUA; Giulio Franzese; Pietro Michiardi Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Minimum entropy coupling; Unsupervised learning; Diffusion models
2292	Neurosymbolic World Models for Sequential Decision Making Authors: Leonardo Hernandez Cano; Maxine Perroni-Scharf; Neil Dhir; Arun Ramamurthy; Armando Solar-Lezama Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: world models; finite state machines; structure learning; model-based reinforcement learning; neurosymbolic
2293	Point-Level Topological Representation Learning on Point Clouds Authors: Vincent Peter Grande; Michael T Schaub Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Topological Data Analysis; Differential Geometry; Representation Learning; Hodge Laplacian; Simplicial Complex; Persistent Homology; Point Clouds
2294	Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss Authors: Abhijeet Mulgund; Chirag Pabbaraju Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Weak-to-Strong Generalization; Bregman Divergence; Information Geometry; Alignment; Large-Language Models
2295	Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL Authors: Harit Vishwakarma; Yi Chen; Satya Sai Srinath Namburi GNVV; Sui Jiet Tay; Ramya Korlakai Vinayak; Frederic Sala Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Semi-supervised Learning; Pseudolabeling; Self-Training; Confidence Functions
2296	Self-Discriminative Modeling for Anomalous Graph Detection Authors: Jinyu Cai; Yunhe Zhang; Jicong Fan Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Anomaly Detection; Graph Neural Networks
2297	The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction Authors: Alex Kokot; Octavian-Vlad Murad; Marina Meila Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Dimension Reduction; Denoising; Diffusion Maps; Laplacian; VAE; LTSA
2298	Towards Understanding Parametric Generalized Category Discovery on Graphs Authors: Bowen Deng; Lele Fu; Jialong Chen; Sheng Huang; Tianchi Liao; Zhang Tao; Chuan Chen Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Generalized Category Discovery; Graph Machine Learning; Representation Learning
2299	Towards an Explainable Comparison and Alignment of Feature Embeddings Authors: Mohammad Jalali; Bahar Dibaei Nia; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Feature embeddings; Interpretable Machine Learning; Kernel methods; Spectral Analysis; Embedding Alignment
2300	Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift Authors: chao ying; Jun Jin; Yi Guo; Xiudi Li; Muxuan Liang; Jiwei Zhao Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: semi-supervised learning; covariate shift; automated computational phenotype; efficiency gain
2301	Universal Neural Optimal Transport Authors: Jonathan Geuter; Gregor Kornhardt; Ingimar Tomasson; Vaios Laschos Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Optimal Transport; Neural Operators; Meta Learning; Adversarial Training
2302	Unsupervised Learning for Class Distribution Mismatch Authors: Pan Du; Wangbo Zhao; Xinai Lu; Nian Liu; Zhikai Li; Chaoyu Gong; Suyun Zhao; Hong Chen; Cuiping Li; Kai Wang; Yang You Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: unsupervised learning; class distribution mismatch; machine learning; diffusion model
2303	Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible Authors: Lin-Han Jia; Wen-Chao Hu; Jie-Jing Shao; Lan-Zhe Guo; Yu-Feng Li Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: Neural Symbolic Learning
2304	Weakly Supervised Anomaly Detection via Dual-Tailed Kernel Authors: Walid Durani; Tobias Nitzl; Claudia Plant; Christian Böhm Affiliation: 官方页面未列出 Official area / track: general_machine_learning->unsupervised_and_semisupervised_learning Recognition: Poster/Regular Keywords: anomaly detection; kernel; dual-kernel tails
2305	Aligned Multi Objective Optimization Authors: Yonathan Efroni; Ben Kretzu; Daniel Jiang; Jalaj Bhandari; Zheqing Zhu; Karen Ullrich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Multi objective optimization; optimization; multi-task learning
2306	An in depth look at the Procrustes-Wasserstein distance: properties and barycenters Authors: Davide Adamo; Marco Corneli; Manon Vuillien; Emmanuelle Vila Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimal transport; Procrustes analysis; Point clouds
2307	Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster Authors: Sharan Vaswani; Reza Babanezhad Harikandeh Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Armijo line-search; (Stochastic) Gradient descent; Convergence rates; Logistic regression; Policy optimization; Generalized linear models; Interpolation
2308	Automatic Differentiation of Optimization Algorithms with Time-Varying Updates Authors: Sheheryar Mehmood; Peter Ochs Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Bilevel Optimization; Algorithm Unrolling; Automatic Differentiation; Machine Learning
2309	Decoupled SGDA for Games with Intermittent Strategy Communication Authors: Ali Zindari; Parham Yazdkhasti; Anton Rodomanov; Tatjana Chavdarova; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: minimax games; Distributed Optimization
2310	Distributed Event-Based Learning via ADMM Authors: Guner Dilsad ER; Sebastian Trimpe; Michael Muehlebach Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributed learning; event-based optimization; dynamical systems; communication efficiency; heterogeneous data-distribution
2311	Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Authors: Youran Dong; Junfeng Yang; Wei Yao; Jin Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: bilevel optimization; hypergradient; inexact Newton method; computational complexity
2312	Efficient Distributed Optimization under Heavy-Tailed Noise Authors: Su Hyeong Lee; Manzil Zaheer; Tian Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: distributed optimization; adaptive optimization; scalable algorithms
2313	End-to-End Learning Framework for Solving Non-Markovian Optimal Control Authors: Xiaole Zhang; Peiyu Zhang; Xiongye Xiao; Shixuan Li; Vasileios Tzoumas; Vijay Gupta; Paul Bogdan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Fractional-order dynamical system; Optimal control
2314	Enforcing Idempotency in Neural Networks Authors: Nikolaj Banke Jensen; Jamie Vicary Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: idempotent neural networks; non-convex optimisation; gradient-free optimisation
2315	Enhancing Performance of Explainable AI Models with Constrained Concept Refinement Authors: Geyu Liang; Senne Michielssen; Salar Fattahi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Explainable AI; Interpretable ML; Optimization; Dictionary Learning; Computer Vision
2316	Ensemble Learned Bloom Filters: Two Oracles are Better than One Authors: Ming Lin; Lin CHEN Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learned Bloom Filters; membership testing; learning-augmented algorithms; combinatorial optimization
2317	Fast Tensor Completion via Approximate Richardson Iteration Authors: Mehrdad Ghadiri; Matthew Fahrbach; Yunbum Kook; Ali Jadbabaie Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Tensor completion; tensor decomposition; leverage score sampling; sketching; iterative methods; linear regression
2318	FedECADO: A Dynamical System Model of Federated Learning Authors: Aayushya Agarwal; Gauri Joshi; Lawrence Pileggi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Federated Learning; Gradient Flow; Equivalent Circuit Optimization
2319	Finding Wasserstein Ball Center: Efficient Algorithm and The Applications in Fairness Authors: Yuntao Wang; Yuxuan Li; Qingyuan Yang; Hu Ding Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Wasserstein barycenter; fairness
2320	Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape Authors: Tao Li; Zhengbao He; Yujun Li; Yasheng Wang; Lifeng Shang; Xiaolin Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Low-rank adaptation; generalization; efficient training
2321	Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization Authors: Robbert Reijnen; Yaoxin Wu; Zaharah Bukhsh; Yingqian Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Multi-objective Combinatorial Optimization; Dynamic Algorithm Configuration; Evolutionary algorithm
2322	Joint Learning of Energy-based Models and their Partition Function Authors: Michael Eli Sander; Vincent Roulet; Tianlin Liu; Mathieu Blondel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: energy-based models; maximum likelihood estimation; stochastic optimization; structured prediction; MCMC-free
2323	Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees Authors: Thien Hang Nguyen; Huy Nguyen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Memory-efficient optimization; adaptive optimization; parameter efficient fine-tuning; PEFT; LLMs; high-probability convergence; stochastic optimization
2324	Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems Authors: Tomoharu Iwata; Shinsaku Sakaue Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Linear programming; Neural networks; Data-driven algorithm design
2325	Loss Functions and Operators Generated by f-Divergences Authors: Vincent Roulet; Tianlin Liu; Nino Vieillard; Michael Eli Sander; Mathieu Blondel Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: loss functions; f-divergences; entropies; Fenchel conjugates
2326	MARS: Unleashing the Power of Variance Reduction for Training Large Models Authors: Huizhuo Yuan; Yifeng Liu; Shuang Wu; zhou Xun; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: variance reduction; adaptive learning; large models
2327	MERIT: Maximum-normalized Element-wise Ratio for Language Model Large-batch Training Authors: Yang Luo; Zangwei Zheng; Ziheng Qin; Zirui Zhu; Yong Liu; Yang You Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: large-batch training; max attention logit; language models
2328	Momentum-Driven Adaptivity: Towards Tuning-Free Asynchronous Federated Learning Authors: Wenjing Yan; Xiangyu Zhong; Xiaolu Wang; Ying-Jun Angela Zhang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: asynchronous federated learning; arbitrary data heterogeneity; tuning-free; parameter-free; momentum; gradient normalization
2329	Online Conformal Prediction via Online Optimization Authors: Felipe Areces; Christopher Mohri; Tatsunori Hashimoto; John Duchi Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: conformal prediction; online conformal prediction; stochastic convex optimization; stochastic gradient descent; uncertainty quantification
2330	OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling Authors: Hongliang Lu; Zhonglin Xie; Yaoyu Wu; Can Ren; Yuxuan Chen; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Optimization; LLM; Optimization Modeling; Synthetic Data
2331	Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees Authors: William de Vazelhes; Xiaotong Yuan; Bin Gu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimization; sparse optimization; iterative hard-thresholding; three-point lemma; approximate global guarantees; projected gradient descent; stochastic gradie…
2332	PARQ: Piecewise-Affine Regularized Quantization Authors: Lisa Jin; Jianhao Ma; Zechun Liu; Andrey Gromov; Aaron Defazio; Lin Xiao Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: quantization-aware training; proximal gradient method; convex regularization; stochastic gradient method; last-iterate convergence
2333	ROS: A GNN-based Relax-Optimize-and-Sample Framework for Max-$k$-Cut Problems Authors: Yeqing Qiu; Ye XUE; Akang Wang; Yiheng Wang; Qingjiang Shi; Zhi-Quan Luo Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Max-k-Cut; Learning to Optimize; Graph Neural Networks; Pre-train and Fine-tune; Sampling
2334	Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness Authors: Qi He; Peiran Yu; Ziyi Chen; Heng Huang Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: shuffling-type gradient methods; convergence analysis; relaxed smoothness assumptions
2335	SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models Authors: Han-Byul Kim; Duc N.M Hoang; Arnav Kundu; Mohammad Samragh; Minsik Cho Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: sync point drop; tensor parallelism; distributed inference; model optimization
2336	Schwarz–Schur Involution: Lightspeed Differentiable Sparse Linear Solvers Authors: Yu Wang; Mazdak Abulnaga; Yaël Balbastre; Bruce Fischl Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: differentiable linear solver; sparse solver; generalized deconvolution; partial differential equations; numerical methods; scientific computing
2337	SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning Authors: Yong Liu; Di Fu; Shenggan Cheng; Zirui Zhu; Yang Luo; Minhao Cheng; Cho-Jui Hsieh; Yang You Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Parameter Efficient Fine-Tuning; Model Merging; Large Language Model
2338	Stochastic Deep Restoration Priors for Imaging Inverse Problems Authors: Yuyang Hu; Albert Peng; Weijie Gan; Peyman Milanfar; Mauricio Delbracio; Ulugbek S. Kamilov Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Inverse Problems; Image Reconstruction; Restoration Priors
2339	Structured Preconditioners in Adaptive Optimization: A Unified Analysis Authors: Shuo Xie; Tianhao Wang; Sashank J. Reddi; Sanjiv Kumar; Zhiyuan Li Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Shampoo; adaptive optimization; layerwise
2340	Subspace Optimization for Large Language Models with Convergence Guarantees Authors: Yutong He; Pengrui Li; Yipeng Hu; Chuyan Chen; Kun Yuan Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Large Language Models; Memory-Efficient Training; Gradient Projection
2341	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training Authors: Fabian Schaipp; Alexander Hägele; Adrien Taylor; Umut Simsekli; Francis Bach Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: Learning rate schedules; convex optimization theory; large model training; continual training
2342	Tilted Sharpness-Aware Minimization Authors: Tian Li; Tianyi Zhou; Jeff Bilmes Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: sharpness-aware optimization; exponential tilting; generalization
2343	Toward a Unified Theory of Gradient Descent under Generalized Smoothness Authors: Alexander Tyurin Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: generalized smoothness; first-order optimization; nonconvex optimization; convex optimization
2344	Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis Authors: Christophe Vauthier; Anna Korba; Quentin Mérigot Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: optimal transport; optimisation; sliced-wasserstein distance
2345	Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints Authors: Hengquan Guo; Lingkai Zu; Xin Liu Affiliation: 官方页面未列出 Official area / track: optimization Recognition: Poster/Regular Keywords: tripe-optimitistic framework; contetxual bandits; general constraints
2346	A Bregman Proximal Viewpoint on Neural Operators Authors: Abdel-Rahim Mezidi; Jordan Patracone; Saverio Salzo; Amaury Habrard; Massimiliano Pontil; Rémi Emonet; Marc Sebban Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: neural operators; proximal optimization; bregman divergence; fourier neural operator
2347	Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes Authors: Erica Zhang; Fangzhao Zhang; Mert Pilanci Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: convex optimization; cutting plane method; active learning
2348	Geometric Algebra Planes: Convex Implicit Neural Volumes Authors: Irmak Sivgin; Sara Fridovich-Keil; Gordon Wetzstein; Mert Pilanci Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: Volume representation; tensor decomposition; convex optimization; geometric algebra; nerf
2349	Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization Authors: Zijian Liu; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: Convex optimizaton; Nonsmooth optimization; Shuffling methods
2350	Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge Authors: Rahul Choudhary; Hanbaek Lyu Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: Schrödinger bridges; Sinkhorn algorithm; entropic optimal transport; linear convergence
2351	On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms Authors: Ekaterina Borodich; Alexander Gasnikov; Dmitry Kovalev Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: convex optimization; saddle-point problems; gradient methods; minimax optimization
2352	Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent Authors: Ya-Chi Chu; Wenzhi Gao; Yinyu Ye; Madeleine Udell Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: First-order method; online convex optimization; stepsize scheduling
2353	Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up Authors: Paul Mangold; Alain Oliviero Durmus; Aymeric Dieuleveut; Eric Moulines Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: optimization; federated learning; stochastic gradient descent; stochastic optimization; heterogeneity
2354	Secant Line Search for Frank-Wolfe Algorithms Authors: Deborah Hendrych; Sebastian Pokutta; Mathieu Besançon; David Martínez-Rubio Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: First-order methods; Frank-Wolfe algorithms; Secant
2355	The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport Authors: Chenrui Wang; Yixuan Qiu Affiliation: 官方页面未列出 Official area / track: optimization->convex Recognition: Poster/Regular Keywords: optimal transport; entropic regularization; quasi-Newton method; Hessian sparsification; low-rank approximation; convergence analysis
2356	A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver Authors: Suyu Liu; Zhiguang Cao; Shanshan Feng; Yew-Soon Ong Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Constrained Optimization; Vehicle Routing Problems; Deep Reinforcement Learning
2357	An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale Authors: Fabian Christian Spaeh; Atsushi Miyauchi Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: submodular maximization; multiobjective; max-min fairness
2358	BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization Authors: Zijun Liao; Jinbiao Chen; Debing Wang; Zizhen Zhang; Jiahai Wang Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Neural Combinatorial Optimization; Preference Optimization; Machine Learning
2359	Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation Authors: Yixin Chen; Wenjing Chen; Alan Kuhnle Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: submodular optimization; combinatorial algorithms; parallel algorithms
2360	CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention Authors: Han Li; Fei Liu; Zhi Zheng; Yu Zhang; Zhenkun Wang Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Vehicle Routing Problem; Multi-Task Learning; Task-Specific Prompt; Dual Attention Mechanism; Cross-Problem Learning
2361	DSBRouter: End-to-end Global Routing via Diffusion Schr"{o}dinger Bridge Authors: Liangliang Shi; Shenhui Zhang; Xingbo Du; Nianzu Yang; Junchi Yan Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Global Routing; Diffusion Schrodinger Bridge
2362	Differentiable Quadratic Optimization For the Maximum Independent Set Problem Authors: Ismail Alkhouri; Cedric Le Denmat; Yingjie Li; CUNXI YU; Jia Liu; Rongrong Wang; Alvaro Velasquez Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Maximum Independent Set; Quadratic optimization; Gradient Descent; Combinatorial Optimization
2363	Discrete and Continuous Difference of Submodular Minimization Authors: George Orfanides; Tim Hoheisel; Marwa El Halabi Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: continuous and discrete submodular functions; Difference of submodular minimization; non-convex optimization; DC programming; DCA; Integer least squares; Integ…
2364	Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters Authors: Sijia Zhang; Shuli Zeng; Shaoang Li; Feng Wu; Shaojie Tang; Xiangyang Li Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Mixed Integer Linear Programming; reoptimization
2365	Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges Authors: Alex Crane; Thomas Stanley; Blair D. Sullivan; Nate Veldt Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: hypergraph clustering; edge-colored clustering; approximation algorithms; parameterized complexity
2366	EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations Authors: Haotian Zhai; Connor Lawless; Ellen Vitercik; Liu Leqi Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Large Language Models; Mixed Integer Linear Programming; AI for OR
2367	Faster Global Minimum Cut with Predictions Authors: Helia Niaparast; Benjamin Moseley; Karan Singh Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Algorithms with Predictions; Minimum Cut; Karger; Karger-Stein
2368	GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Authors: Yuhang Li; Ruokai Yin; Donghyun Lee; Shiting Xiao; Priyadarshini Panda Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Transformers; Quantization; Discrete Optimization
2369	Hybrid Quantum-Classical Multi-Agent Pathfinding Authors: Thore Gerlach; Loong Kuan Lee; Frederic BARBARESCO; Nico Piatkowski Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: QUBO; MAPF; Column Generation; Optimal; Quantum Computing; ILP; Operations Research
2370	Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint Authors: Dan-Xuan Liu; Chao Qian Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: submodular optimization; linear constraints; multi-objective evolutionary algorithms
2371	Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Authors: Zhi Zheng; Zhuoliang Xie; Zhenkun Wang; Bryan Hooi Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Automatic Heuristic Design; Combinatorial Optimization; Large Language Model; Neural Combinatorial Optimization; Monte Carlo Tree Search
2372	Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints Authors: Qixin Zhang; Wei Huang; Can Jin; Puning Zhao; Yao Shu; Li Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Subset Selection; Weakly Submodular Maximization; Partition Matroid; Continuous Relaxation; Lossless Rounding
2373	Neural Solver Selection for Combinatorial Optimization Authors: Chengrui Gao; Haopu Shang; Ke Xue; Chao Qian Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: neural combinatorial optimization
2374	Preference Optimization for Combinatorial Optimization Problems Authors: Mingjun Pan; Guanquan Lin; You-Wei Luo; Bin Zhu; Zhien Dai; Lijun Sun; Chun Yuan Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Reinforcement Learning; Combinatorial Optimization; Preference-Based Reinforcement Learning
2375	Regularized Langevin Dynamics for Combinatorial Optimization Authors: Shengyu Feng; Yiming Yang Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Combinatorial Optimization; Neural Combinatorial Optimization; Simulated Annealing; Langevin Dynamics
2376	SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy Authors: Yong Liang Goh; Zhiguang Cao; Yining Ma; Jianan Zhou; Mohammed Haroon Dupty; Wee Sun Lee Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: vehicle routing problem; learning to optimize
2377	Scalable Approximation Algorithms for $p$-Wasserstein Distance and Its Variants Authors: Nathaniel Lahn; Sharath Raghvendra; Emma Saarinen; Pouyan Shirzadian Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: p-Wasserstein Distance; Optimal Transport; Approximation Algorithms
2378	Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction Authors: Yudong Xu; Wenhao Li; Scott Sanner; Elias Boutros Khalil Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Constraint Satisfaction Problem; Transformer; Self-supervised Learning; Local Search
2379	Simple Randomized Rounding for Max-Min Eigenvalue Augmentation Authors: Jourdain Lamperski; Haeseong Yang; Oleg Prokopyev Affiliation: 官方页面未列出 Official area / track: optimization->discrete_and_combinatorial_optimization Recognition: Poster/Regular Keywords: Approximation algorithms; Bayesian E-optimal design; matrix concentration inequalities; maximum algebraic connectivity augmentation
2380	A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering Authors: Lucas Fabian Naumann; Jannik Irmai; Bjoern Andres Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Quantum Computing; QAOA; Correlation Clustering
2381	DEALing with Image Reconstruction: Deep Attentive Least Squares Authors: Mehrsa Pourya; Erich Kobler; Michael Unser; Sebastian Neumayer Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Inverse problems; data-driven priors; deep equilibrium; iterative refinement; spatial adaptivity.
2382	Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Authors: Jungtaek Kim Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Bayesian Optimization; Density Ratio Estimation-based Bayesian Optimization; Bayesian Optimization with Semi-Supervised Learning
2383	Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization Authors: Shiyu Wang; Mariam Avagyan; Yihan Shen; Arnaud Lamy; Tingran Wang; Szabolcs Marka; Zsuzsanna Marka; John Wright Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Manifold Denoising; Learning-to-optimize
2384	Inverse Optimization via Learning Feasible Regions Authors: Ke Ren; Peyman Mohajerin Esfahani; Angelos Georghiou Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Inverse Optimization; Non-convex Optimization; Data-driven Optimization
2385	Neural Event-Triggered Control with Optimal Scheduling Authors: Luan Yang; Jingdong Zhang; Qunxi Zhu; Wei Lin Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: Event-triggered control; Stability guarantee; Limit resources; Optimal scheduling
2386	SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization Authors: Yan Liu; Mingjie Chen; Chaojie Ji; Hao Zhang; Ruxin Wang Affiliation: 官方页面未列出 Official area / track: optimization->everything_else Recognition: Poster/Regular Keywords: variance reduction; recursive momentum; unified theory; Riemannian non-convex optimization
2387	Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks Authors: Nurbek Tastan; Samuel Horváth; Karthik Nandakumar Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: federated learning; fairness; collaborative fairness
2388	BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach Authors: Haozhao Wang; Shengyu Wang; Jiaming Li; Hao Ren; XINGSHUO HAN; Wenchao Xu; Shangwei Guo; Tianwei Zhang; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Semi-supervised Federated Learning; Bayesian Approach
2389	Beyond Communication Overhead: A Multilevel Monte Carlo Approach for Mitigating Compression Bias in Distributed Learning Authors: Ze'ev Zukerman; Bassel Hamoud; Kfir Yehuda Levy Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Distributed Learning; Compressed Gradients; Multilevel Monte Carlo
2390	Causality Inspired Federated Learning for OOD Generalization Authors: Jiayuan Zhang; Xuefeng Liu; Jianwei Niu; Shaojie Tang; Haotian Yang; Xinghao Wu Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: federated learning; causality; out-of-distribution generalization
2391	Constant Stepsize Local GD for Logistic Regression: Acceleration by Instability Authors: Michael Crawshaw; Blake Woodworth; Mingrui Liu Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: distributed optimization; convex optimization; logistic regression; federated learning; unstable convergence; edge of stability
2392	DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers Authors: Xuanlei Zhao; Shenggan Cheng; Chang Chen; Zangwei Zheng; Ziming Liu; Zheming Yang; Yang You Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Sequence Parallelism; Sequence Parallel; Long Sequence; High Performance Computing; Distributed System; Multi-Dimentional Transformer
2393	Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs Authors: YOUHE JIANG; Fangcheng Fu; Xiaozhe Yao; Guoliang HE; Xupeng Miao; Ana Klimovic; Bin CUI; Binhang Yuan; Eiko Yoneki Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Distributed Machine Learning System; Generative Inference of Foundation Model.
2394	Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold Authors: Yilong Song; Peijin Li; Bin Gao; Kun Yuan Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Stiefel manifold; distributed optimization; error feedback; retraction-free
2395	Efficiently Serving Large Multimodal Models Using EPD Disaggregation Authors: Gursimran Singh; Xinglu Wang; Yifan Hu; Timothy Tin Long Yu; Linzi Xing; Wei Jiang; Zhefeng Wang; Bai Xiaolong; Yi Li; Ying Xiong; Yong Zhang; Zhenan Fan Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Efficient Inference; Large Multimodal Model Inference; Disaggregated Inference
2396	Enhancing Parallelism in Decentralized Stochastic Convex Optimization Authors: Ofri Eisen; Ron Dorfman; Kfir Yehuda Levy Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Decentralized Learning; Stochastic Convex Optimization
2397	FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training Authors: Philip Zmushko; Aleksandr Beznosikov; Martin Takáč; Samuel Horváth Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Memory-efficient training; Optimization; Full-Rank Update; Large Language Models; LLM; Pre-training; Fine-tuning
2398	FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Authors: Srijith Nair; Michael Lin; Peizhong Ju; Amirreza Talebi; Elizabeth Serena Bentley; Jia Liu Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: federated split learning; communication efficient split learning; client-constrained federated learning
2399	FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning Authors: Ganyu Wang; Jinjie Fang; Maxwell Juncheng Yin; Bin Gu; Xi Chen; Boyu Wang; Yi Chang; Charles Ling Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Federated Learning; Discrete Prompt Learning; Optimization; Query Efficiency
2400	HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training Authors: Geon-Woo Kim; Junbo Li; Shashidhar Gandham; Omar Baldonado; Adithya Gangidi; Pavan Balaji; Zhangyang Wang; Aditya Akella Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Hierarchical Geo-Distributed LLM Training; Asynchronous Optimization; Local SGD with Momentum
2401	Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning Authors: Hongyao Chen; Tianyang Xu; Xiaojun Wu; Josef Kittler Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Federated Learning; Batch Normalisation; Distributed Learning; Data Heterogeneity
2402	Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging Authors: Junkang Liu; Yuanyuan Liu; Fanhua Shang; Hongying Liu; Jin Liu; Wei Feng Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: 官方列表未公开
2403	Layer-wise Quantization for Quantized Optimistic Dual Averaging Authors: Anh Duc Nguyen; Ilia Markov; Frank Zhengqing Wu; Ali Ramezani-Kebrya; Kimon Antonakopoulos; Dan Alistarh; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Adaptive Compression; Layer-wise Compression; Optimistic Dual Averaging; Distributed Variational Inequality
2404	Nesterov Method for Asynchronous Pipeline Parallel Optimization Authors: Thalaiyasingam Ajanthan; Sameera Ramasinghe; Yan Zuo; Gil Avraham; Alexander Long Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Asynchronous Optimization; Pipeline Parallelism; Nesterov Method; Convergence Analysis; Decentralized Training; Protocol Learning
2405	PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization Authors: Xinyi Wan; Penghui Qi; Guangxing Huang; Min Lin; Jialin Li Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: LLM Training; Pipeline Parallelism; Offloading; Memory Optimization
2406	Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Authors: Won-Jun Jang; Hyeon-Seo Park; Si-Hyeon Lee Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Federated learning; ensemble distillation; data heterogeneity; generative adversarial network
2407	QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration Authors: HamidReza Imani; Jiaxin Peng; Peiman Mohseni; Abdolah Amirany; Tarek El-Ghazawi Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Mixture-of-Experts; Large Language Models; Virtualization; Multi-Tenant Environments
2408	Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds Authors: Xiuheng Wang; Ricardo Augusto Borsoi; Cédric Richard; Ali H. Sayed Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Riemannian optimization; decentralized optimization; intrinsic method; diffusion adaptation; stochastic gradient descent; network agreement; non-asymptotic con…
2409	Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity Authors: Arto Maranjyan; Alexander Tyurin; Peter Richtárik Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Asynchronous SGD; optimal time complexity; nonconvex optimization; parallel methods; stochastic optimization
2410	Safe-EF: Error Feedback for Non-smooth Constrained Optimization Authors: Rustem Islamov; Yarden As; Ilyas Fatkhullin Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Optimization; Distributed Optimization; Compression; Safe Reinforcement Learning
2411	Scalable First-order Method for Certifying Optimal k-Sparse GLMs Authors: Jiachang Liu; Soroosh Shafiee; Andrea Lodi Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: generalized linear models; sparse learning; proximal method; mixed-integer programming
2412	Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts Authors: Weilin Cai; Juyong Jiang; Le Qin; junweicui; Sunghun Kim; Jiayi Huang Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Mixture of Experts; Expert Parallelism; Shortcut Connection
2413	The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Authors: Shiwei Li; Xiandi Luo; Haozhao Wang; Xing Tang; Shijie Xu; weihongluo; Yuhua Li; xiuqiang He; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Federated Learning; Communication Efficiency; Low-Rank Decomposition.
2414	Unified Breakdown Analysis for Byzantine Robust Gossip Authors: Renaud Gaucher; Aymeric Dieuleveut; Hadrien Hendrikx Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Byzantine; robustness; decentralized; distributed; optimization; gossip; breakdown
2415	When, Where and Why to Average Weights? Authors: Niccolò Ajroldi; Antonio Orvieto; Jonas Geiping Affiliation: 官方页面未列出 Official area / track: optimization->large_scale_parallel_and_distributed Recognition: Poster/Regular Keywords: Weight Averaging; Checkpoint Averaging; Optimization; Learning Rate Schedule.
2416	Attention-Only Transformers via Unrolled Subspace Denoising Authors: Peng Wang; Yifu Lu; Yaodong Yu; Druv Pai; Qing Qu; Yi Ma Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: transformer; attention; subspace denoising; token representation
2417	Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach Authors: Omar Bennouna; Jiawei Zhang; Saurabh Amin; Asuman E. Ozdaglar Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Contextual Optimization; Machine Learning; Constrained Optimization
2418	Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method Authors: Andi Han; Pierre-Louis Poirion; Akiko Takeda Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Riemannian manifold; Stiefel manifold; Efficient optimization; randomized submanifold
2419	Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level Authors: Siqi Zhang; Xing Huang; Feihu Huang Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Bilevel Optimization， Nonconvex，Generalized Smooth
2420	Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery Authors: Paris Giampouras; HanQin Cai; Rene Vidal Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Matrix factorisation; low-rank; matrix sensing; preconditioned subgradient
2421	MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters Authors: Arsalan Sharifnassab; Saber Salehkaleybar; Richard S. Sutton Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Continual optimization; meta-parameter optimization
2422	Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization Authors: Kaheon Kim; Rentian Yao; Changbo Zhu; Xiaohui Chen Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Wasserstein barycenter; optimal transport; nonconvex-concave minimax optimization; convergence rate
2423	Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion Authors: Yuanwei Zhang; Fengmiao Bian; Xiaoqun Zhang; Jian-Feng Cai Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Tensor completion; Multilinear rank; Riemannian gradient descent; Preconditioning
2424	Quantum Optimization via Gradient-Based Hamiltonian Descent Authors: Jiaqi Leng; Bin Shi Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Quantum Algorithms; Non-Convex Optimization; Gradient-Based Methods; Hamiltonian Dynamics
2425	Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization Authors: Suryanarayana Sankagiri; Jalal Etesami; Matthias Grossglauser Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: matrix factorization; nonconvex optimization; recommender systems; learning from comparisons; matrix concentration inequalities
2426	TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization Authors: Songtao Lu Affiliation: 官方页面未列出 Official area / track: optimization->nonconvex Recognition: Poster/Regular Keywords: Primal-dual method; bilevel optimization; stochastic gradient descent
2427	A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD Authors: Ruinan Jin; Xiao Li; Yaoliang Yu; Baoxiang Wang Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Adam; ABC Inequality; Sample Complexity; Almost Sure Convergence; L_1 Convergence
2428	A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Authors: Yiming Chen; Yuan Zhang; Yin Liu; Kun Yuan; Zaiwen Wen Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: randomized subspace optimization; large language model training; stochastic optimization
2429	A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization Authors: Bokun Wang; Tianbao Yang Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Finite-Sum Coupled Compositional Optimization; Primal-Dual Algorithm; Block-Coordinate Algorithm
2430	Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies Authors: Qiang LI; Michal Yemini; Hoi To Wai Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Clipped Stochastic Algorithm; Performative Prediction; (Non)convex Optimization
2431	Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed Authors: Savelii Chezhegov; Klyukin Yaroslav; Andrei Semenov; Aleksandr Beznosikov; Alexander Gasnikov; Samuel Horváth; Martin Takáč; Eduard Gorbunov Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: stochastic optimization; heavy-tailed noise; adaptive methods; gradient clipping; high-probability convergence bounds
2432	Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects Authors: Ke Liang Xiao; Noah Marshall; Atish Agarwala; Elliot Paquette Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: signSGD; stochastic optimization; deep learning theory; high-dimensional probability; stochastic differential equation
2433	Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling Authors: Zhenyu Sun; Ermin Wei Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: non-convex optimization; markov sampling
2434	Learning Curves of Stochastic Gradient Descent in Kernel Regression Authors: Haihan Zhang; Weicheng Lin; Yuanshi Liu; Cong Fang Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Stochastic Gradient Descent; Large Dimension; Minimax Optimality
2435	Non-Asymptotic and Non-Lipschitzian Bounds on Optimal Values in Stochastic Optimization Under Heavy Tails Authors: Jindong Tong; Hongcheng Liu; Johannes O. Royset Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Sample average approximation; diametrical risk minimization; confidence bound; heavy tails
2436	Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent Authors: Donghwa Kim; Jaewook Lee; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Optimization; Stochastic Optimization; Coordinate Descent; Random Permutations
2437	Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization Authors: Xinyu Luo; Site Bai; Bolian Li; Petros Drineas; Ruqi Zhang; Brian Bullins Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: Non-convex Optimization; Non-Euclidean Acceleration; Stochastic Steepest Descent
2438	The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations Authors: Waïss Azizian; Franck Iutzeler; Jerome Malick; Panayotis Mertikopoulos Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: stochastic gradient descent; non-convex; large deviations
2439	Variance-Reduced Forward-Reflected-Backward Splitting Methods for Nonmonotone Generalized Equations Authors: Quoc Tran-Dinh Affiliation: 官方页面未列出 Official area / track: optimization->stochastic Recognition: Poster/Regular Keywords: variance-reduction; forward-reflected-backward splitting method; nonmonotone generalized equations; SVRG; SAGA
2440	Adaptive Partitioning Schemes for Optimistic Optimization Authors: Raja Sunkara; Ardhendu Tripathy Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: discrete optimization; derivative-free optimization; black-box function; regret bounds; subspace learning; neural networks; surrogate modeling
2441	BARK: A Fully Bayesian Tree Kernel for Black-box Optimization Authors: Toby Boyne; Jose Pablo Folch; Robert Matthew Lee; Behrang Shafei; Ruth Misener Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Bayesian optimization; tree kernels; Bayesian additive regression trees; Gaussian processes
2442	Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization Authors: Michael S Yao; James Gee; Osbert Bastani Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Offline Optimization; AI4Science; Generative Design; Model-Based Optimization
2443	EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Authors: Mujin Cheon; Jay H Lee; Dong-Yeun Koh; Calvin Tsay Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Bayesian Optimization; Reinforcement Learning; High-dimensional Optimization; Nonmyopic Bayesian Optimization
2444	Global Optimization with a Power-Transformed Objective and Gaussian Smoothing Authors: Chen Xu Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Nonconvex optimization; zeroth-order; Gaussian smoothing; exponential power transform
2445	Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions Authors: Yuya Hikima; Hiroshi Sawada; Akinori Fujino Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Zeroth-order method; performative prediction; decision-dependent distribution; guided evolutionary strategy
2446	Meta-Black-Box-Optimization through Offline Q-function Learning Authors: Zeyuan Ma; Zhiguang Cao; Zhou Jiang; Hongshu Guo; Yue-Jiao Gong Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Black-Box Optimization; Dynamic Algorithm Configuration; Learning to Optimize; Offline Reinforcement Learning
2447	Natural Perturbations for Black-box Training of Neural Networks by Zeroth-Order Optimization Authors: Hiroshi Sawada; Kazuo Aoyama; Yuya Hikima Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Zeroth-order optimization; Multivariate normal distribution; Covariance matrix; Fisher information matrix
2448	Refining Adaptive Zeroth-Order Optimization at Ease Authors: Yao Shu; Qixin Zhang; Kun He; Zhongxiang Dai Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Adaptive Method; Zeroth-Order Optimization; Variance Reduction; Convergence
2449	Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Authors: Rong-Xi Tan; Ming Chen; Ke Xue; Yao Wang; Yaoyuan Wang; Fu Sheng; Chao Qian Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Universal optimization; Offline optimization
2450	Understanding High-Dimensional Bayesian Optimization Authors: Leonard Papenmeier; Matthias Poloczek; Luigi Nardi Affiliation: 官方页面未列出 Official area / track: optimization->zeroorder_and_blackbox_optimization Recognition: Poster/Regular Keywords: Bayesian optimization; global optimization; Gaussian process; high-dimensional
2451	A Mixture-Based Framework for Guiding Diffusion Models Authors: Yazid Janati; Badr MOUFAD; Mehdi Abou El Qassime; Alain Oliviero Durmus; Eric Moulines; Jimmy Olsson Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion Models; Guidance; Inverse Problems; Monte Carlo methods
2452	Can Transformers Learn Full Bayesian Inference in Context? Authors: Arik Reuter; Tim G. J. Rudner; Vincent Fortuin; David Rügamer Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: In-Context Learning; Prior-Data Fitted Networks; Bayesian Inference
2453	Decision-aware Training of Spatiotemporal Forecasting Models to Select a Top-K Subset of Sites for Intervention Authors: Kyle Heuton; Frederick Muench; Shikhar Shrestha; Thomas J. Stopka; Michael C Hughes Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: spatiotemporal forecasting; top K; decision theory; probabilistic models
2454	Density Ratio Estimation with Conditional Probability Paths Authors: Hanlin Yu; Arto Klami; Aapo Hyvarinen; Anna Korba; Omar Chehab Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: score matching; density ratio estimation; probability paths
2455	Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity Authors: Jian-Feng Cai; Zhuozhi XIAN; Jiaxi Ying Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Sparse PCA; principal component analysis; single-spiked covariance model; sample complexity
2456	Fully Heteroscedastic Count Regression with Deep Double Poisson Networks Authors: Spencer Young; Porter Jenkins; Longchao Da; Jeff Dotson; Hua Wei Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Predictive uncertainty Deep Ensembles; Heteroscedastic regression
2457	Improving the Statistical Efficiency of Cross-Conformal Prediction Authors: Matteo Gasparin; Aaditya Ramdas Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conformal Prediction; Exchangeability; Randomization
2458	LEAPS: A discrete neural sampler via locally equivariant networks Authors: Peter Holderrieth; Michael Samuel Albergo; Tommi Jaakkola Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: CTMC; Bayesian inference; MCMC; sampling
2459	Learning Survival Distributions with the Asymmetric Laplace Distribution Authors: Deming Sheng; Ricardo Henao Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Deep Learning; Survival Analysis; Asymmetric Laplace Distribution; Censored Data
2460	Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Authors: Taeyoung Yun; Kiyoung Om; Jaewoo Lee; Sujin Yun; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion Models; Posterior Inference; High-dimensional Black-box Optimization
2461	Random Policy Evaluation Uncovers Policies of Generative Flow Networks Authors: Haoran He; Emmanuel Bengio; Qingpeng Cai; Ling Pan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Generative Flow Network (GFlowNets); Policy Evaluation
2462	Rethinking Aleatoric and Epistemic Uncertainty Authors: Freddie Bickford Smith; Jannik Kossen; Eleanor Trollope; Mark van der Wilk; Adam Foster; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: aleatoric; epistemic; uncertainty
2463	Robust Conformal Outlier Detection under Contaminated Reference Data Authors: Meshi Bashari; Matteo Sesia; Yaniv Romano Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Conformal Prediction; Hypothesis Testing; Out-of-Distribution Detection; Contaminated Data
2464	Sample Complexity of Branch-length Estimation by Maximum Likelihood Authors: David Clancy Jr.; Hanbaek Lyu; Sebastien Roch Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: branch length estimation; statistical estimation on networks; coordinate maximization; sample complexity
2465	TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation Authors: Gwen Yidou Weng; Benjie Wang; Guy Van den Broeck Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Controlled Generation; Probabilistic Reasoning; Tractable Inference; Hidden Markov Models (HMM); Detoxification
2466	Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Authors: Thibault de Surrel; Fabien Lotte; Sylvain Chevallier; Florian Yger Affiliation: 官方页面未列出 Official area / track: probabilistic_methods Recognition: Poster/Regular Keywords: Gaussian distribution; Wrapped distributions; Symmetric positive definite matrices; estimation; classification; Riemannian geometry; density estimation
2467	A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints Authors: Michael Munn; Susan Wei Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: transfer learning; Bayesian model selection; efficient fine-tuning; model adaptation
2468	BARNN: A Bayesian Autoregressive and Recurrent Neural Network Authors: Dario Coscia; Max Welling; Nicola Demo; Gianluigi Rozza Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Bayesian Modelling; Variational Inference; Autoregressive Neural Networks; Recurrent Neural Networks; Uncertainty Quantification; Scientific Machine Learning
2469	BILBO: BILevel Bayesian Optimization Authors: Ruth Wan Theng Chew; Quoc Phong Nguyen; Bryan Kian Hsiang Low Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: machine learning; Bayesian optimization; bilevel optimization; bilevel Bayesian optimization
2470	Do Bayesian Neural Networks Actually Behave Like Bayesian Models? Authors: Gábor Pituk; Vik Shirvaikar; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Bayesian Neural Networks; BNNs; Bayesian Deep Learning
2471	FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference Authors: Stefano Cortinovis; Francois Caron Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Confidence intervals; Bayesian methods; heavy-tailed priors; horseshoe; mean estimation; statistical inference; semi-supervised inference.
2472	FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Authors: Jacopo Talpini; Marco Savi; Giovanni Neglia Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: One-shot Federated Learning; Bayesian Inference; Laplace Approximation
2473	Learning Likelihood-Free Reference Priors Authors: Nicholas George Bishop; Daniel Jarne Ornia; Joel Dyer; Ani Calinescu; Michael J. Wooldridge Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: simulation-based inference; objective Bayes; reference priors; variational approximations; mutual information
2474	Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics Authors: Mohamad Al Ahdab; John Leth; Zheng-Hua Tan Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Kalman Filtering; Sensor Scheduling; Bayesian State-Space Models; Control
2475	Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach Authors: Parikshit Pareek; Abhijith Jayakumar; Kaarthik Sundar; Sidhant Misra; Deepjyoti Deka Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Bayesian Neural Network; Optimization Proxy; Semi-Supervised Learning
2476	Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models Authors: Siddarth Venkatraman; Mohsin Hasan; Minsu Kim; Luca Scimeca; Marcin Sendera; Yoshua Bengio; Glen Berseth; Nikolay Malkin Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: diffusion; amortized inference; inverse problems; fine-tuning; VAEs; GANs; CNFs; flow matching; generative models
2477	Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design Authors: Marcel Hedman; Desi R. Ivanova; Cong Guan; Tom Rainforth Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: Bayesian experimental design; Bayesian optimal design; Bayesian adaptive design; adaptive design optimization; information maximization
2478	Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear Algebra Authors: Alan Nawzad Amin; Andres Potapczynski; Andrew Gordon Wilson Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->bayesian_models_and_methods Recognition: Poster/Regular Keywords: GWAS; Transformers; Iterative Methods; Machine Learning; Numerical Linear Algebra
2479	A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression Authors: Victor Dheur; Matteo Fontana; Yorick Estievenart; Naomi Desobry; Souhaib Ben Taieb Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: Uncertainty Quantification; Multivariate regression; Conformal Prediction; Generative Models
2480	Bayesian Inference for Correlated Human Experts and Classifiers Authors: Markelle Kelly; Alex James Boyd; Sam Showalter; Mark Steyvers; Padhraic Smyth Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: human-ai; consensus; bayesian
2481	Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation Authors: Wei Chen; Shigui Li; Jiacheng Li; Junmei Yang; John Paisley; Delu Zeng Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: diffusion-bridge; optimal transport rearrangement; asymptotic estimation; density-ratio estimation
2482	Flexible Tails for Normalizing Flows Authors: Tennessee Hickling; Dennis Prangle Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: normalizing flows; extreme values; heavy tails; variational inference
2483	Prediction-Powered E-Values Authors: Daniel Csillag; Claudio Jose Struchiner; Guilherme Tegoni Goedert Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: prediction-powered inference; e-values; statistical inference; distribution-free methods
2484	e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control Authors: Yifan Zhang; Zijian Wei; Haojie Ren; Changliang Zou Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->everything_else Recognition: Poster/Regular Keywords: online multiple testing; generalized $\alpha$-investing; e-value; false discovery rate
2485	Determinant Estimation under Memory Constraints and Neural Scaling Laws Authors: Siavash Ameli; Chris van der Heide; Liam Hodgkinson; Fred Roosta; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: log-determinants; neural scaling laws; numerical linear algebra
2486	Finite-Time Analysis of Discrete-Time Stochastic Interpolants Authors: Yuhao Liu; Yu Chen; Rui Hu; Longbo Huang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Stochastic Interpolants; Diffusion Models
2487	Integration-free Kernels for Equivariant Gaussian Process Modelling Authors: Tim Steinert; David Ginsbourger; August Lykke-Møller; Ove Christiansen; Henry Moss Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Gaussian processes; equivariance; kernels; molecular data
2488	Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling Authors: Xinxing Shi; Xiaoyu Jiang; Mauricio A Álvarez Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Gaussian process VAE; nearest neighbour
2489	Pareto-frontier Entropy Search with Variational Lower Bound Maximization Authors: Masanori Ishikura; Masayuki Karasuyama Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Bayesian optimization; Multi-objective optimization; Mutual information
2490	Robust and Conjugate Spatio-Temporal Gaussian Processes Authors: William Laplante; Matias Altamirano; Andrew B. Duncan; Jeremias Knoblauch; Francois-Xavier Briol Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Gaussian Processes; Robustness; Spatio-Temporal Analysis; Generalised Bayes
2491	Scalable Gaussian Processes with Latent Kronecker Structure Authors: Jihao Andreas Lin; Sebastian Ament; Maximilian Balandat; David Eriksson; José Miguel Hernández-Lobato; Eytan Bakshy Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Gaussian process; Kronecker; Bayesian; scalable; product kernel; gridded data; missing values
2492	Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes Authors: Sidhanth Holalkere; David Bindel; Silvia Sellán; Alexander Terenin Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: stochastic poisson surface reconstruction; geometric gaussian processes; computer graphics
2493	Trajectory Inference with Smooth Schrödinger Bridges Authors: Wanli Hong; Yuliang Shi; Jonathan Niles-Weed Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->gaussian_processes Recognition: Poster/Regular Keywords: Trajectory Inference; Schrodinger Bridge; Message Passing; Probabilisitic Graphical Models
2494	A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity Authors: Yufei Huang; Changhu Wang; Junjie Tang; Weichi Wu; Ruibin Xi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->graphical_models Recognition: Poster/Regular Keywords: High-dimensional graphical model; Maximum marginal likelihood estimation; Marginal recoverability; Mixture model; Gene regulatory network; Single-cell RNA sequ…
2495	Enabling Optimal Decisions in Rehearsal Learning under CARE Condition Authors: Wen-Bo Du; Hao-Yi Lei; Lue Tao; Tian-Zuo Wang; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->graphical_models Recognition: Poster/Regular Keywords: decision-making; probabilistic optimization; structural model
2496	Scaling Probabilistic Circuits via Monarch Matrices Authors: Honghua Zhang; Meihua Dang; Benjie Wang; Stefano Ermon; Nanyun Peng; Guy Van den Broeck Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->graphical_models Recognition: Poster/Regular Keywords: Probabilistic Circuits; Density Estimation
2497	A General Framework for Inference-time Scaling and Steering of Diffusion Models Authors: Raghav Singhal; Zachary Horvitz; Ryan Teehan; Mengye Ren; Zhou Yu; Kathleen McKeown; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Diffusion models; steering; fine-tuning; particle-based sampling; sequential Monte Carlo
2498	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching Authors: Aaron J Havens; Benjamin Kurt Miller; Bing Yan; Carles Domingo-Enrich; Anuroop Sriram; Daniel S. Levine; Brandon M Wood; Bin Hu; Brandon Amos; Brian Karrer; Xiang Fu; Guan-Horng L… Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Sampling; Stochastic Optimal Control
2499	Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions Authors: Dongze Wu; Yao Xie Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Statistical Sampling; Optimal Transport; Continuous Normalizing Flows
2500	AutoStep: Locally adaptive involutive MCMC Authors: Tiange Liu; Nikola Surjanovic; Miguel Biron-Lattes; Alexandre Bouchard-Cote; Trevor Campbell Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: MCMC; Markov chain Monte Carlo; adaptive; involution; step size; tuning
2501	Conditioning Diffusions Using Malliavin Calculus Authors: Jakiw Pidstrigach; Elizabeth Louise Baker; Carles Domingo-Enrich; George Deligiannidis; Nikolas Nüsken Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Bridges; Optimal control; stochastic differential equations; diffusion processes; Malliavin calculus; conditioning
2502	Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms Authors: Andrea Bertazzi; Tim Johnston; Gareth O. Roberts; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Differential Privacy; Markov Chain Monte Carlo Methods; Girsanov's theorem
2503	Exploring Large Action Sets with Hyperspherical Embeddings using von Mises-Fisher Sampling Authors: Walid Bendada; Guillaume Salha-Galvan; Romain Hennequin; Théo Bontempelli; Thomas Bouabça; Tristan Cazenave Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Efficient Sampling; Probability Theory; Large-Scale; Embeddings; Real-World Application; Reinforcement Learning
2504	Importance Corrected Neural JKO Sampling Authors: Johannes Hertrich; Robert Gruhlke Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Sampling; Wasserstein Gradient Flows; Normalizing Flows; Rejection Sampling
2505	NETS: A Non-equilibrium Transport Sampler Authors: Michael Samuel Albergo; Eric Vanden-Eijnden Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: jarzynski; sampling; generative models; diffusion; monte carlo
2506	Non-asymptotic Error Bounds in $\mathcal{W}_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity Authors: Bin Yang; Xiaojie Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Langevin Monte Carlo; log-Sobolev inequality; $O(\sqrt{d}h)$ error bounds in W2-distance; non-globally Lipschitz gradient
2507	Progressive Tempering Sampler with Diffusion Authors: Severi Rissanen; RuiKang OuYang; Jiajun He; Wenlin Chen; Markus Heinonen; Arno Solin; José Miguel Hernández-Lobato Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: parallel tempering; neural samplers; sampling from unnormalised densities
2508	Revisiting Non-Acyclic GFlowNets in Discrete Environments Authors: Nikita Morozov; Ian Maksimov; Daniil Tiapkin; Sergey Samsonov Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: generative flow networks; gflownets; non-acyclic gflownets; sampling; reinforcement learning
2509	Sampling Binary Data by Denoising through Score Functions Authors: Francis Bach; Saeed Saremi Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Langevin MCMC; score function; Boolean hypercube; Bernoulli noise
2510	Sampling from Binary Quadratic Distributions via Stochastic Localization Authors: Chenguang Wang; Kaiyuan Cui; Weichen Zhao; Tianshu Yu Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Stochastic Localization; Discrete MCMC samplers; Binary Quadratic Distribution
2511	Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo Authors: Filip Ekström Kelvinius; Zheng Zhao; Fredrik Lindsten Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: diffusion models; sequential monte carlo; posterior sampling
2512	The Polynomial Stein Discrepancy for Assessing Moment Convergence Authors: Narayan Srinivasan; Matthew Sutton; Christopher Drovandi; Leah F South Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: Stein Discrepancy; Approximate MCMC; Goodness-of-fit
2513	Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization Authors: Kyurae Kim; Zuheng Xu; Jacob R. Gardner; Trevor Campbell Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->monte_carlo_and_sampling_methods Recognition: Poster/Regular Keywords: sequantial Monte Carlo; annealed importance sampling; Markov chain Monte Carlo; Bayesian inference
2514	Weight matrices compression based on PDB model in deep neural networks Authors: Xiaoling Wu; Junpeng Zhu; Zeng Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->spectral_methods Recognition: Poster/Regular Keywords: Weight Matrix Compression; Noise-filtering; Generalization Performance; Random Matrix Theory
2515	An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data Authors: Nikita Lagrange; Herve Isambert Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->structure_learning Recognition: Poster/Regular Keywords: causal discovery; search-and-score structure learning; latent variable; multivariate information
2516	Causal Discovery from Conditionally Stationary Time Series Authors: Carles Balsells-Rodas; Xavier Sumba; Tanmayee Narendra; Ruibo Tu; Gabriele Schweikert; Hedvig Kjellstrom; Yingzhen Li Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->structure_learning Recognition: Poster/Regular Keywords: causal discovery; graph neural network; time series; non-stationary; probabilistic modelling; identifiability
2517	Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations Authors: Zhengming Chen; Yewei Xia; Feng Xie; Jie Qiao; Zhifeng Hao; Ruichu Cai; Kun Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->structure_learning Recognition: Poster/Regular Keywords: Causal discovery; discrete latent variables
2518	Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control Authors: Sepehr Elahi; Paula Mürmann; Patrick Thiran Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->structure_learning Recognition: Poster/Regular Keywords: Structure learning; SIS models; Epidemics; Vaccinations; Spectral radius minimization; Bounded treewidth; Dynamic programming; Parameterized algorithms
2519	Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Authors: Rogelio A. Mancisidor; Robert Jenssen; Shujian Yu; Michael Kampffmeyer Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Multimodal Learning; Product of Experts; Generative Models; Variational Autoencoders
2520	Censor Dependent Variational Inference Authors: Chuanhui Liu; Xiao Wang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: survival analysis; variational inference; variational autoencoders; time-to-event modeling
2521	Deep Bayesian Filter for Bayes-Faithful Data Assimilation Authors: Yuta Tarumi; Keisuke Fukuda; Shin-ichi Maeda Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Data Assimilation; Variational Inference; State-Space Models; Koopman Operator
2522	Improving Generalization with Flat Hilbert Bayesian Inference Authors: Tuan Truong; Quyen Tran; Ngoc-Quan Pham; Nhat Ho; Dinh Phung; Trung Le Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Bayesian Inference; Sharpness-aware Minimization; RKHS
2523	Learning-Order Autoregressive Models with Application to Molecular Graph Generation Authors: Zhe Wang; Jiaxin Shi; Nicolas Heess; Arthur Gretton; Michalis Titsias Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Generative Modeling; Variational Inference; Autoregressive Model; Graph Generation; Molecule Generation
2524	Multilayer Matrix Factorization via Dimension-Reducing Diffusion Variational Inference Authors: Junbin Liu; Farzan Farnia; Wing-Kin Ma Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Multilayer matrix factorization; Variational inference; Variational diffusion models; Dimension reduction
2525	Neural Guided Diffusion Bridges Authors: Gefan Yang; Frank van der Meulen; Stefan Sommer Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Diffusion bridge; variational approximation; change of measure
2526	Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models Authors: Ngoc-Quan Pham; Tuan Truong; Quyen Tran; Tan Minh Nguyen; Dinh Phung; Trung Le Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Distributional Robustness; Bayesian Inference; Model Finetuning; Promoting Ensemble Diversity
2527	Revisiting Unbiased Implicit Variational Inference Authors: Tobias Pielok; Bernd Bischl; David Rügamer Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: semi-implicit variational inference; path gradient; importance sampling; conditional normalizing flows
2528	Synonymous Variational Inference for Perceptual Image Compression Authors: Zijian Liang; Kai Niu; Changshuo Wang; Jin Xu; Ping Zhang Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Synonymous; Variational Inference; Perceptual; Image Compression; Semantic Information Theory
2529	Understanding the difficulties of posterior predictive estimation Authors: Abhinav Agrawal; Justin Domke Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Posterior predictive distribution; Variational Inference; Bayesian prediction
2530	Variational Learning of Fractional Posteriors Authors: Kian Ming A. Chai; Edwin V. Bonilla Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Variational Inference; Fractional Posterior
2531	Variational Phylogenetic Inference with Products over Bipartitions Authors: Evan Sidrow; Alexandre Bouchard-Cote; Lloyd T Elliott Affiliation: 官方页面未列出 Official area / track: probabilistic_methods->variational_inference Recognition: Poster/Regular Keywords: Phylogenetic Inference; Variational Bayes; COVID-19 Genetics; Linkage Clustering; Reinforce Estimators
2532	A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward Authors: Zachary Andrew Roch; George K. Atia; Yue Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Robust Reinforcement Learning; Average Reward
2533	ADDQ: Adaptive distributional double Q-learning Authors: Leif Döring; Benedikt Wille; Maximilian Birr; Mihail Bîrsan; Martin Slowik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Q-learning; overestimation bias; distributional RL; Atari; MuJoCo
2534	Accurate and Efficient World Modeling with Masked Latent Transformers Authors: Maxime Burchi; Radu Timofte Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: model-based reinforcement learning; maskGIT; transformer network; crafter
2535	Action-Constrained Imitation Learning Authors: Chia-Han Yeh; Tse-Sheng Nan; Risto Vuorio; Wei Hung; Hung Yen Wu; Shao-Hua Sun; Ping-Chun Hsieh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Action Constraints
2536	Action-Dependent Optimality-Preserving Reward Shaping Authors: Grant Collier Forbes; Jianxun Wang; Leonardo Villalobos-Arias; Arnav Jhala; David Roberts Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; reward shaping; intrinsic motivation; potential-based reward shaping; exploration
2537	Active Fine-Tuning of Multi-Task Policies Authors: Marco Bagatella; Jonas Hübotter; Georg Martius; Andreas Krause Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: imitation learning; deep reinforcement learning; multi-task reinforcement learning; active learning; fine-tuning
2538	Adaptive Exploration for Multi-Reward Multi-Policy Evaluation Authors: Alessio Russo; Aldo Pacchiano Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: policy evaluation; multi-reward; multi-policy; adaptive exploration; pure exploration; reinforcement learning
2539	Behavioral Exploration: Learning to Explore via In-Context Adaptation Authors: Andrew Wagenmaker; Zhiyuan Zhou; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: in-context learning; exploration; adaptive agents; behavior cloning
2540	Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC Authors: Tyler Clark; Mark Towers; Christine Evers; Jonathon Hare Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep Learning; Atari; Desktop PC; Rainbow DQN; DQN; Computationally Accessible
2541	CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries Authors: Ni Mu; Hao Hu; Xiao Hu; Yiqin Yang; Bo XU; Qing-Shan Jia Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Preference-based RL; contrastive learning
2542	Calibrated Value-Aware Model Learning with Probabilistic Environment Models Authors: Claas A Voelcker; Anastasiia Pedan; Arash Ahmadian; Romina Abachi; Igor Gilitschenski; Amir-massoud Farahmand Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: model-based rl; muzero; itervaml; theory; calibration; latent models
2543	Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation Authors: Haozhe Ma; Fangling Li; Jing Yu Lim; Zhengding Luo; Thanh Vinh Vo; Tze-Yun Leong Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Shaping; Exploration-Exploitation Balance
2544	Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics Authors: Tyler Kastner; Mark Rowland; Yunhao Tang; Murat A Erdogdu; Amir-massoud Farahmand Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Distributional Reinforcement Learning; TD learning; Categorical Temporal Difference learning
2545	Consensus Based Stochastic Optimal Control Authors: Liyao Lyu; Jingrun Chen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: deep reinforcement learning; optimal control; McKean-Vlasov control; consensus-based optimization
2546	Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments Authors: Mikel Malagón; Josu Ceberio; Jose A. Lozano Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: environment; reinforcement learning; agent; embodied AI; open endedness
2547	Directly Forecasting Belief for Reinforcement Learning with Delays Authors: Qingyuan Wu; Yuhui Wang; Simon Sinong Zhan; Yixuan Wang; Chung-Wei Lin; Chen Lv; Qi Zhu; Jürgen Schmidhuber; Chao Huang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; reinforcement learning with delays; belief representation
2548	Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story Authors: Vincenzo de paola; Riccardo Zamboni; Mirco Mutti; Marcello Restelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Maximum State Entropy; Parallel Reinforcement Learning; Agents' Diversity
2549	Extreme Value Policy Optimization for Safe Reinforcement Learning Authors: Shiqing Gao; Yihang Zhou; Shuai Shao; Haoyu Luo; Yiheng Bing; Jiaxin Ding; Luoyi Fu; Xinbing Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: constrained RL; extreme value theory; constraint satisfaction
2550	Gap-Dependent Bounds for Federated $Q$-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: Federated learning; Reinforcement learning; Regret; Communication cost
2551	Gradient Boosting Reinforcement Learning Authors: Benjamin Fuhrer; Chen Tessler; Gal Dalal Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Gradient Boosting Trees; Reinforcement Learning; Machine Learning
2552	Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning Authors: Yiran Wang; Chenshu Liu; Yunfan Li; Sanae Amani; Bolei Zhou; Lin Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Exploration; Provably Efficient; Hyperparameter Robustness
2553	Improved Off-policy Reinforcement Learning in Biological Sequence Design Authors: Hyeonah Kim; Minsu Kim; Taeyoung Yun; Sanghyeok Choi; Emmanuel Bengio; Alex Hernández-García; Jinkyoo Park Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Biological sequence design; GFlowNets; offline RL; active learning
2554	Improving Reward Model Generalization from Adversarial Process Enhanced Preferences Authors: Zhilong Zhang; Tian Xu; Xinghao Du; Xingchen Cao; Yihao Sun; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reward modeling; preference generation; preference-based reinforcement learning; adversarial imitation learning
2555	In-Context Reinforcement Learning From Suboptimal Historical Data Authors: Juncheng Dong; Moyang Guo; Ethan X Fang; Zhuoran Yang; Vahid Tarokh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: In-Context Learning; Reinforcement Learning; Transformers; In-Context Reinforcement Learning
2556	Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces Authors: Eric Eaton; Marcel Hussing; Michael Kearns; Aaron Roth; Sikata Bela Sengupta; Jessica Sorrell Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Machine Learning; Reinforcement Learning; Fairness; Multi-Group; Minimax; ICML
2557	KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Authors: Shih-Min Yang; Martin Magnusson; Johannes A. Stork; Todor Stoyanov Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Novelty-based Exploration; Soft Actor-Critic; Sparse reward
2558	LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models Authors: Marwa Abdulhai; Isadora White; Charlie Victor Snell; Charles Sun; Joey Hong; Yuexiang Zhai; Kelvin Xu; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: 官方列表未公开
2559	Learning Fused State Representations for Control from Multi-View Observations Authors: Zeyu Wang; Yao-Hui Li; Xin Li; Hongyu Zang; Romain Laroche; Riashat Islam Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; multi-view learning
2560	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks Authors: Luise Ge; Michael Lanier; Anindya Sarkar; Bengisu Guresti; Chongjie Zhang; Yevgeniy Vorobeychik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Policy Committee; Reinforcement Learning
2561	Learning to Reuse Policies in State Evolvable Environments Authors: Ziqian Zhang; Bohan Yang; Lihe Li; Yuqi Bian; Ruiqi Xue; Feng Chen; Yi-Chen Li; Lei Yuan; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Open Environment; State Evolution; Policy Reuse; Adaptation
2562	MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning Authors: Suning Huang; Zheyu Aqa Zhang; Tianhai Liang; Yihan Xu; Zhehao Kou; Chenhao Lu; Guowei Xu; Zhengrong Xue; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Visual Reinforcement Learning; Robotics; Mixture-of-Experts
2563	Maximum Total Correlation Reinforcement Learning Authors: Bang You; Puze Liu; Huaping Liu; Jan Peters; Oleg Arenz Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Total Correlation
2564	Meta-Reinforcement Learning with Adaptation from Human Feedback via Preference-Order-Preserving Task Embedding Authors: Siyuan Xu; Minghui Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Meta-RL; prefrence-based RL; RLHF
2565	Model-Based Exploration in Monitored Markov Decision Processes Authors: Alireza Kazemipour; Matthew E. Taylor; Michael Bowling Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Exploration-Exploitation; Model-Based Interval Estimation; Monitored Markov Decision Processes
2566	NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations Authors: Myunsoo Kim; Hayeong Lee; Seong-Woong Shim; JunHo Seo; Byung-Jun Lee Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Unsupervised Learning; Skill Learning
2567	Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation Authors: Kosuke Nakanishi; Akihiro Kubo; Yuji Yasui; Shin Ishii Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep Learning; Adversarial Learning; Robustness; Observation Robustness; Off-Policy; Actor-Critic; f-Divergence
2568	Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation Authors: Xiao Huang; Xu Liu; Enze Zhang; Tong Yu; Shuai Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: offline-to-online reinforcement learning; data augmentation; diffusion models
2569	Online Laplacian-Based Representation Learning in Reinforcement Learning Authors: Maheed H. Ahmed; Jayanth Bhargav; Mahsa Ghasemi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Representation learning; Online Learning; Graph Laplacian
2570	Online Learning in Risk Sensitive constrained MDP Authors: Arnob Ghosh; Mehrdad Moharrami Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Augmented State; Constrained MDP; Risk sensitive RL; Robust RL; Primal-Dual algorithm
2571	Online Pre-Training for Offline-to-Online Reinforcement Learning Authors: Yongjae Shin; Jeonghye Kim; Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Youngsoo Jang; Geon-Hyeong Kim; Jongseong Chae; Youngchul Sung; Kanghoon Lee; Woohyung Lim Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Offline-to-Online Reinforcement Learning; Online Pre-Training; Online Fine-Tuning
2572	PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs Authors: Xiaoyan Hu; Ho-fung Leung; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Online Learning; Large Language Models; Evaluation and Selection of Generative Models; Contextual Bandits
2573	Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Authors: Chi Zhang; Ziying Jia; George K. Atia; Sihong He; Yue Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: zero-shot; transfer learning; distributed learning; reinforcement learning
2574	Policy Gradient with Tree Expansion Authors: Gal Dalal; Assaf Hallak; Gugan Thoppe; Shie Mannor; Gal Chechik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Policy Gradient; Tree Expansion; Softmax; Variance Reduction
2575	Proto Successor Measure: Representing the Behavior Space of an RL Agent Authors: Siddhant Agarwal; Harshit Sikchi; Peter Stone; Amy Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Unsupervised Reinforcement Learning; Zero Shot Reinforcement Learning; Representation Learning
2576	QPRL : Learning Optimal Policies with Quasi-Potential Functions for Asymmetric Traversal Authors: Jumman Hossain; Nirmalya Roy Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Quasi-Potential Functions; Quasimetric Learning; Asymmetric Traversal Costs
2577	Quantum Algorithms for Finite-horizon Markov Decision Processes Authors: Bin Luo; Yuwen Huang; Jonathan Allcock; Xiaojun Lin; Shengyu Zhang; John C.S. Lui Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Quantum algorithms; Markov decision processes; lower bounds
2578	Rank-One Modified Value Iteration Authors: Arman Sharifi Kolarijani; Tolga Ok; Peyman Mohajerin Esfahani; Mohamad Amin Sharifi Kolarijani Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Markov decision process; dynamic programming; reinforcement learning; value iteration; Q-learning
2579	Reinforcement Learning with Segment Feedback Authors: Yihan Du; Anna Winnicki; Gal Dalal; Shie Mannor; R. Srikant Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning (RL); segment feedback; binary feedback; sum feedback
2580	Reward Translation via Reward Machine in Semi-Alignable MDPs Authors: Yun Hua; Haosheng Chen; Wenhao Li; Bo Jin; Baoxiang Wang; Hongyuan Zha; Xiangfeng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Shaping
2581	Reward-free World Models for Online Imitation Learning Authors: Shangzhe Li; Zhiao Huang; Hao Su Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: world models; imitation learning
2582	Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism Authors: Haoyuan Cai; Zhenghao Peng; Bolei Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Human-in-the-loop Reinforcement Learning; Shared Autonomy
2583	Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization Authors: Cheng Tang; Zhishuai Liu; Pan Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Robust Markov Decision Process
2584	RobustLight: Improving Robustness via Diffusion Reinforcement Learning for Traffic Signal Control Authors: Mingyuan Li; Jiahao Wang; Guangsheng Yu; Xu Wang; Qianrun Chen; Wei Ni; Lixiang Li; Haipeng Peng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; diffusion; traffic signal control
2585	Safety-Polarized and Prioritized Reinforcement Learning Authors: Ke Fan; Jinpeng Zhang; Xuefeng Zhang; Yunze Wu; Jingyu Cao; Yuan Zhou; Jianzhu Ma Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Safe Reinforcement Learning
2586	Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning Authors: Yuhui Wang; Qingyuan Wu; Dylan R. Ashley; Francesco Faccio; Weida Li; Chao Huang; Jürgen Schmidhuber Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Value Iteration Networks; Long-term Planning; Reinforcement Learning; Deep Neural Network
2587	Score as Action: Fine Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning Authors: Hanyang Zhao; Haoxian Chen; Ji Zhang; David Yao; Wenpin Tang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Continuous-time Reinforcement Learning; Diffusion Models Fine-tuning; Reinforcement Learning from Human Feedback
2588	Strategic Planning: A Top-Down Approach to Option Generation Authors: Max Ruiz Luyten; Antonin Berthon; Mihaela van der Schaar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement Learning; Top-down approach; Strategic Planning; Language-Conditioned RL
2589	Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales Authors: Ju-Seung Byun; Andrew Perrault Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Reinforcement learning; Cross entropy; Symmetric loss functions
2590	Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner Authors: Chenyou Fan; Chenjia Bai; Zhao Shan; Haoran He; Yang Zhang; Zhen Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: reinforcement learning; diffusion models; planning
2591	Time-Aware World Model for Adaptive Prediction and Control Authors: Anh N Nhu; Sanghyun Son; Ming Lin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: RL; Dynamics; World Model
2592	Wasserstein Policy Optimization Authors: David Pfau; Ian Davies; Diana L Borsa; João Guilherme Madeira Araújo; Brendan Daniel Tracey; Hado van Hasselt Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Policy Optimization; Wasserstein metric; Optimal Transport; Gradient Flow; Deep Reinforcement Learning; Actor-Critic; Continuous Control
2593	When Maximum Entropy Misleads Policy Optimization Authors: Ruipeng Zhang; Ya-Chien Chang; Sicun Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: MaxEnt RL
2594	Zero-Shot Offline Imitation Learning via Optimal Transport Authors: Thomas Rupf; Marco Bagatella; Nico Gürtler; Jonas Frey; Georg Martius Affiliation: 官方页面未列出 Official area / track: reinforcement_learning Recognition: Poster/Regular Keywords: Imitation Learning; Deep Reinforcement Learning; Optimal Transport
2595	A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Authors: Thomas Schmied; Thomas Adler; Vihang Prakash Patil; Maximilian Beck; Korbinian Pöppel; Johannes Brandstetter; Günter Klambauer; Razvan Pascanu; Sepp Hochreiter Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: reinforcement learning; rnn; xlstm; mamba; multi-task; robotics
2596	Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Authors: Chen-Xiao Gao; Chenyang Wu; Mingjun Cao; Chenjun Xiao; Yang Yu; Zongzhang Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Behavior-regularized Reinforcement Learning; Diffusion Policy; Offline Reinforcement Learning
2597	C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning Authors: Zifan LIU; Xinran Li; Jun Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: safe offline reinforcement learning; constrained implicit Q-learning; cost reconstruction; constraint-conditioned ability
2598	CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning Authors: Hongtu Zhou; Ruiling Yang; Yakun Zhu; Haoqi Zhao; Hai Zhang; Di Zhang; Junqiao Zhao; Chen Ye; Changjun Jiang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Meta Reinforcement Learning; Context-based; One-Shot Adaptation; OOD; Ambiguity; Uncertainty
2599	Conservative Offline Goal-Conditioned Implicit V-Learning Authors: Kaiqiang Ke; Qian Lin; Zongkai Liu; Shenghong He; Chao Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Goal-Conditioned Reinforcement Learning; Goal-Stitching Tasks; Value Function Overestimation
2600	Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium Authors: Runyu Lu; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: offline reinforcement learning; adversarial Markov game; mixed-strategy Nash equilibrium; policy constraint; exploitability descent
2601	Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making Authors: Hongling Zheng; Li Shen; Yong Luo; Deheng Ye; Bo Du; Jialie Shen; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline RL; Conditional Sequence Modeling; Decision Transformer
2602	Flow Q-Learning Authors: Seohong Park; Qiyang Li; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: reinforcement learning
2603	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning Authors: Jinmin He; Kai Li; Yifan Zang; Haobo Fu; QIANG FU; Junliang Xing; Jian Cheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Multi-Task Reinforcement Learning; Skill Abstraction
2604	Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning Authors: Seungho Baek; taegeon park; Jongchan Park; Seungjun Oh; Yusung Kim Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Hierarchical Reinforcement Learning; Offline Goal-Conditioned Reinforcement Learning; Graph-based Reinforcement Learning; Temporal Distance Representat…
2605	Habitizing Diffusion Planning for Efficient and Effective Decision Making Authors: Haofei Lu; Yifei Shen; Dongsheng Li; Junliang Xing; Dongqi Han Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Diffusion Planning; Variational Bayes; Diffusion Models
2606	Latent Action Learning Requires Supervision in the Presence of Distractors Authors: Alexander Nikulin; Ilya Zisman; Denis Tarasov; Lyubaykin Nikita; Andrei Polubarov; Igor Kiselev; Vladislav Kurenkov Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: latent action learning; imitation learning; learning from observations; learning from videos; latent action model
2607	Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Authors: Qin-Wen Luo; Ming-Kun Xie; Ye-Wen Wang; Sheng-Jun Huang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: offline reinforcement learning; selective state-adaptive regularization; offline-to-online reinforcement learning
2608	MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning Authors: Yifu Yuan; Zhenrui Zheng; Zibin Dong; Jianye HAO Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Generalization; Diffusion; Multi-Objective Reinforcement Learning; Slider Guidance
2609	Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Authors: Yilun Kong; Guozheng Ma; Qi Zhao; Haoyu Wang; Li Shen; Xueqian Wang; Dacheng Tao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: multi-task RL; offline RL; Decision Transformer; Mixture-of-Experts
2610	Off-Policy Evaluation under Nonignorable Missing Data Authors: Han Wang; Yang Xu; Wenbin Lu; Rui Song Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Off-Policy Evaluation; Missing Data; Nonignorable Missingness; Shadow Variable; Causality
2611	Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning Authors: Zhihe Yang; Yunjian Xu; Yang Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Safe Reinforcement Learning; Offline Reinforcement Learning; Representation Learning; Contrastive Learning; Self-Supervised Learning
2612	Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens Authors: Jihwan Jeong; Xiaoyu Wang; Jingmin Wang; Scott Sanner; Pascal Poupart Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline reinforcement learning; Model-based planning; Bayesian inference; Bayesian reinforcement learning
2613	Stable Offline Value Function Learning with Bisimulation-based Representations Authors: Brahma S Pavse; Yudong Chen; Qiaomin Xie; Josiah P. Hanna Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: reinforcement learning; representation learning; off-policy; offline policy evaluation; bisimulations; stability; value function learning; abstractions
2614	Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning Authors: Dongsu Lee; Minhae Kwon Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: State Representation; Latent World Model; Data Augmentation
2615	Test-time Adapted Reinforcement Learning with Action Entropy Regularization Authors: Shoukai Xu; ZihaoLian; Mingkui Tan; Liu Liu; Zhong Zhang; Peilin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Reinforcement Learning; offline; test-time adaptation
2616	Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Authors: Minting Pan; Yitao Zheng; Jiajian Li; Yunbo Wang; Xiaokang Yang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Model-based Reinforcement Learning; Visuomotor Control
2617	Vintix: Action Model via In-Context Reinforcement Learning Authors: Andrei Polubarov; Lyubaykin Nikita; Alexander Derevyagin; Ilya Zisman; Denis Tarasov; Alexander Nikulin; Vladislav Kurenkov Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->batchoffline Recognition: Poster/Regular Keywords: in-context reinforcement learning
2618	A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control Authors: Zilin Kang; Chenyuan Hu; Yu Luo; Zhecheng Yuan; Ruijie Zheng; Huazhe Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Deep Continuous Control; Infantile Amnesia; Primacy Bias; Experience Replay
2619	ARS: Adaptive Reward Scaling for Multi-Task Reinforcement Learning Authors: Myungsik Cho; Jongeui Park; Jeonghye Kim; Youngchul Sung Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: reinforcement learning; multi-task reinforcement learning; reward scaling
2620	Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning Authors: Long Ma; Fangwei Zhong; Yizhou Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: In-context Reinforcement Learning; Distribution Shift; Meta-Reinforcement Learning; Task Inference; Offline Reinforcement Learning
2621	Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries Authors: Xuening Feng; Zhaohui JIANG; Timo Kaufmann; Eyke Hüllermeier; Paul Weng; Yifei Zhu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Preference-based Reinforcement Learning; Human-in-the-loop Machine Learning
2622	DIME: Diffusion-Based Maximum Entropy Reinforcement Learning Authors: Onur Celik; Zechu Li; Denis Blessing; Ge Li; Daniel Palenicek; Jan Peters; Georgia Chalvatzaki; Gerhard Neumann Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Diffusion Models; Diffusion Based Reinforcement Learning; Maximum Entropy Reinforcement Learning
2623	Deep Reinforcement Learning from Hierarchical Preference Design Authors: Alexander Bukharin; Yixiao Li; Pengcheng He; Tuo Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Reward Modeling; Code Generation
2624	Efficient Online Reinforcement Learning for Diffusion Policy Authors: Haitong Ma; Tianyi Chen; Kai Wang; Na Li; Bo Dai Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: reinforcement learning; diffusion models; diffusion policy
2625	Efficient Skill Discovery via Regret-Aware Optimization Authors: He Zhang; Ming Zhou; Shaopeng Zhai; Ying Sun; Hui Xiong Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: reinforcement learning; unsupervised skill discovery
2626	Embedding Safety into RL: A New Take on Trust Region Methods Authors: Nikola Milosevic; Johannes Müller; Nico Scherf Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Constrained MDP; Information Geometry; Safe RL
2627	Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models Authors: Tung Minh Luu; Younghwan Lee; Donghoon Lee; Sunho Kim; Min Jun Kim; Chang D. Yoo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning From Human Feedback; Reinforcement Learning From AI Feedback; Rating-based Reinforcement Learning
2628	FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making Authors: Yucen Wang; Rui Yu; Shenghua Wan; Le Gan; De-Chuan Zhan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; World Models; Foundation Models; Open-ended Tasks; Goal-Conditioned Reinforcement Learning; Multi-task Reinforcement Learning; Learning…
2629	Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning Authors: Motoki Omura; Kazuki Ota; Takayuki Osa; Yusuke Mukuta; Tatsuya Harada Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: online reinforcement learning; q-learning; bellman operator
2630	Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals Authors: Vivienne Huiling Wang; Tinghuai Wang; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Hierarchical Reinforcement Learning
2631	Improving Value Estimation Critically Enhances Vanilla Policy Gradient Authors: Tao Wang; Ruipeng Zhang; Sicun Gao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: policy gradient methods; value estimation; trust region methods; deep RL
2632	Knowledge Retention in Continual Model-Based Reinforcement Learning Authors: Haotian Fu; Yixiang Sun; Michael Littman; George Konidaris Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Deep Reinforcement learning; Model-based Reinforcement Learning; Continual Learning; World Models
2633	Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network Authors: Jijia Liu; Feng Gao; Qingmin Liao; Chao Yu; Yu Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Value-based Reinforcement Learning; Continuous Control; Auto-Regressive; Suboptimal Demonstration
2634	Maximum Entropy Reinforcement Learning with Diffusion Policy Authors: Xiaoyi Dong; Jian Cheng; Xi Sheryl Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Diffusion models; online reinforcement learning; maximum entropy reinforcement learning; soft actor-critic
2635	Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn Authors: Hongyao Tang; Johan Obando-Ceron; Pablo Samuel Castro; Aaron Courville; Glen Berseth Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Plasticity; Continual Learning; Reinforcement Learning; Generalization
2636	Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning Authors: Adrià López Escoriza; Nicklas Hansen; Stone Tao; Tongzhou Mu; Hao Su Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Learning from Demonstrations; Robotics; Manipulation
2637	Optimizing Language Models for Inference Time Objectives using Reinforcement Learning Authors: Yunhao Tang; Kunhao Zheng; Gabriel Synnaeve; Remi Munos Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: RL; inference time compute; pass at k; code generation
2638	PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning Authors: Dongchi Huang; Jiaqi WANG; Yang Li; Chunhe Xia; Tianle Zhang; Kaige Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; World Models; Safe Reinforcement Learning; Model-based Reinforcement Learning; Privileged Learning
2639	R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models Authors: Pengyi Li; Jianye HAO; Hongyao Tang; Yifu Yuan; Jinbin Qiao; Zibin Dong; YAN ZHENG Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reward Design; Reinforcement Learning
2640	Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems Authors: Hongyuan Su; Yu Zheng; Yuan Yuan; Yuming Lin; Depeng Jin; Yong Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: decision-making task; computational intensive evaluation
2641	Return Capping: Sample Efficient CVaR Policy Gradient Optimisation Authors: Harry Mead; Clarissa Costen; Bruno Lacerda; Nick Hawes Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Machine Learning; CVaR; Risk-Averse
2642	Robust Autonomy Emerges from Self-Play Authors: Marco Francis Cusumano-Towner; David Hafner; Alexander Hertzberg; Brody Huval; Aleksei Petrenko; Eugene Vinitsky; Erik Wijmans; Taylor W. Killian; Stuart Bowers; Ozan Sener; Phili… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Autonomy; Simulation; Driving; Self-play
2643	RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations Authors: Yushuai Li; Hengyu Liu; Torben Bach Pedersen; Yuqiang He; Kim Guldstrand Larsen; Lu Chen; Christian S. Jensen; Jiachen Xu; TIANYI LI Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement learning; state perturbation; MuZero; deep learning
2644	SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Authors: Cansu Sancaktar; Christian Gumbsch; Andrii Zadaianchuk; Pavel Kolev; Georg Martius Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: intrinsic motivation; exploration; foundation models; model-based RL
2645	SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels Authors: Malte Mosbach; Jan Niklas Ewertz; Angel Villar-Corrales; Sven Behnke Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Model-based Reinforcement Learning; Object-centric Learning; World Models; Robotics
2646	Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Authors: Mingyang Sun; Pengxiang Ding; Weinan Zhang; Donglin Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Diffusion Policy; Reinforcement Learning; Optimal Transport
2647	Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning Authors: Bryan Lincoln Marques de Oliveira; Luana Guedes Barros Martins; Bruno Brandão; Murilo Lopes da Luz; telma woerle de lima soares; Luckeciano Carvalho Melo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: reinforcement learning; representation learning; benchmark
2648	Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning Authors: Brett Barkley; David Fridovich-Keil Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: model-based reinforcement learning; online reinforcement learning; deep reinforcement learning
2649	Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks Authors: Jeongmo Kim; Yisak Park; Minung Kim; Seungyul Han Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep Reinforcement Learning; Meta Reinforcement Learning; Representation Learning; Generalization; Machine Learning; Out-Of-Distributio…
2650	The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning Authors: Jiashun Liu; Johan Obando-Ceron; Pablo Samuel Castro; Aaron Courville; Ling Pan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Deep Reinforcement Learning; Sunk Cost Bias; Sample Efficiency; Continious Action Space
2651	The Impact of On-Policy Parallelized Data Collection on Deep Reinforcement Learning Networks Authors: Walter Mayor; Johan Obando-Ceron; Aaron Courville; Pablo Samuel Castro Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: Reinforcement learning; deep RL; PPO; PQN
2652	Trajectory World Models for Heterogeneous Environments Authors: Shaofeng Yin; Jialong Wu; Siqiao Huang; Xingjian Su; Xu He; Jianye HAO; Mingsheng Long Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: world models; pre-training; heterogeneous environments
2653	Value-Based Deep RL Scales Predictably Authors: Oleh Rybkin; Michal Nauman; Preston Fu; Charlie Victor Snell; Pieter Abbeel; Sergey Levine; Aviral Kumar Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: scaling laws; online reinforcement learning; q-learning
2654	Zero Shot Generalization of Vision-Based RL Without Data Augmentation Authors: Sumeet Batra; Gaurav S. Sukhatme Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->deep_rl Recognition: Poster/Regular Keywords: representation learning; reinforcement learning; disentangled representation learning; associative memory; zero-shot generalization
2655	Benchmarking Quantum Reinforcement Learning Authors: Nico Meyer; Christian Ufrecht; George Yammine; Georgios Kontes; Christopher Mutschler; Daniel Scherer Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Reinforcement Learning; Quantum Computing; Benchmarking; Sample Complexity; Quantum Machine Learning
2656	EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control Authors: Samuel Holt; Todor Davchev; Dhruva Tirumala; Ben Moran; Atil Iscen; Antoine Laurens; Yixin Lin; Erik Frey; Markus Wulfmeier; Francesco Romano; Nicolas Heess Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Hierarchical Reinforcement Learning; Evolutionary Strategies; High-Frequency Control; Continuous Control; Robotics
2657	Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents Authors: Shuo Han; German Espinosa; Junda Huang; Daniel Dombeck; Malcolm A. MacIver; Bradly C. Stadie Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Reinforcement learning; Biological agents; Comparative study; Variance-penalized temporal difference learning; Experience replay; Behavioral alignment
2658	Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement Authors: Yuheng Jing; Kai Li; Bingyun Liu; Ziwen Zhang; Haobo Fu; QIANG FU; Junliang Xing; Jian Cheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Opponent Modeling; Offline; In-context Learning
2659	Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization Authors: Yucheng Yang; Tianyi Zhou; Mykola Pechenizkiy; Meng Fang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Multi-Objective Optimization; Multi-Objective Reinforcement Learning
2660	Speeding up Policy Simulation in Supply Chain RL Authors: Vivek Farias; Joren Gijsbrechts; Aryan I. Khojandi; Tianyi Peng; Andrew Zheng Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Parallel Computing; Markov Decision Process; Policy Evaluation; Supply Chain; Operations Research
2661	World Model Implanting for Test-time Adaptation of Embodied Agents Authors: Minjong Yoo; Jinwoo Jang; Sihyung Yoon; Honguk Woo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->everything_else Recognition: Poster/Regular Keywords: Embodied AI; Model implanting; World models; Large language model
2662	Decoding Rewards in Competitive Games: Inverse Game Theory with Entropy Regularization Authors: Junyi Liao; Zihan Zhu; Ethan X Fang; Zhuoran Yang; Vahid Tarokh Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Inverse game; Quantal Response Equilibrium; Reward recovery; confidence sets
2663	Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity Authors: Zhenglin Wan; Xingrui Yu; David Mark Bossens; Yueming Lyu; Qing Guo; Flint Xiaofeng Fan; Yew-Soon Ong; Ivor Tsang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Quality Diversity; Reinforcement Learning; Imitation Learning
2664	IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic Authors: Stefano Viel; Luca Viano; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: provably efficient IL; SAC based IL; Deep IL
2665	Imitation Learning from a Single Temporally Misaligned Video Authors: William Huey; Huaxiaoyue Wang; Anne Wu; Yoav Artzi; Sanjiban Choudhury Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Learning from Videos; Inverse Reinforcement Learning; Reward Formulation
2666	Learning Utilities from Demonstrations in Markov Decision Processes Authors: Filippo Lazzati; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Inverse Reinforcement Learning; Risk; Imitation Learning; Theory
2667	Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Authors: Bo Yue; Jian Li; Guiliang Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Inverse Constrained Reinforcement Learning; Exploration Algorithm; Sample Efficiency
2668	Robust Reward Alignment via Hypothesis Space Batch Cutting Authors: Zhixian Xie; Haode Zhang; Yizhe Feng; Wanxin Jin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->inverse Recognition: Poster/Regular Keywords: Learning from Human Feedback; Inverse Reinforcement Learning; Preference Based Reinforcement Learning; Robust Learning
2669	Ad Hoc Teamwork via Offline Goal-Based Decision Transformers Authors: Xinzhi Zhang; Hohei Chan; Deheng Ye; Yi Cai; Mengchen Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Ad Hoc Teamwork; Offline Reinforcement Learning
2670	Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning Authors: Whiyoung Jung; Sunghoon Hong; Deunsol Yoon; Kanghoon Lee; Woohyung Lim Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Asynchronous Multi-Agent Reinforcement Learning; MacDec-POMDP
2671	AssistanceZero: Scalably Solving Assistance Games Authors: Cassidy Laidlaw; Eli Bronstein; Timothy Guo; Dylan Feng; Lukas Berglund; Justin Svegliato; Stuart Russell; Anca Dragan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: assistance games; assistants; alignment; multi-agent; interaction; cooperation; coordination; goal inference
2672	Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning Authors: Laixi Shi; Jingchu Gai; Eric Mazumdar; Yuejie Chi; Adam Wierman Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: multi-agent reinforcement learning; robust Markov games; game theory; distribution shift; behavioral economics
2673	Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration Authors: Yan Chen; Qinxun Bai; Yiteng Zhang; Maria Dimakopoulou; Shi Dong; Qi Sun; Zhengyuan Zhou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: worst-case regret bound; RL theory; randomized least squares value iteration; multi-agent learning; aggregated states; concurrent learning
2674	DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy Authors: Kaixuan Xu; Jiajun Chai; Sicheng Li; Yuqian Fu; Yuanheng Zhu; Dongbin Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: LLM-based agent; Diplomacy; fine-tuning
2675	Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping Authors: Guangyi Liu; Suzan Iloglu; Michael Caldara; Joseph W Durham; Michael M. Zavlanos Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Distributionally Robust Reinforcement Learning; Multi-agent Reinforcement Learning; Group Distributionally Robust Optimization; Robotic Sortation Warehouse
2676	Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Authors: Andreas Kontogiannis; Konstantinos Papathanasiou; Yi Shen; Giorgos Stamou; Michael M. Zavlanos; George Vouros Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Cooperative Multi-Agent Reinforcement Learning; State Modelling; Sparse Reward
2677	Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning Authors: Austin A. Nguyen; Anri Gu; Michael P. Wellman Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Empirical game theoretic analysis; equilibrium selection; game solving; strategy exploration
2678	Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games Authors: Antonio Ocello; Daniil Tiapkin; Lorenzo Mancini; Mathieu Lauriere; Eric Moulines Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Reinforcement learning; mean-field games; trust region proximal optimization; Nash equilibrium; finite sample complexity
2679	Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning Authors: Zhiyao Zhang; Myeung Suk Oh; FNU Hairi; Ziyue Luo; Alvaro Velasquez; Jia Liu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Fully decentralized multi-agent reinforcement learning; Deep neural network; Finite-time global convergence.
2680	GradPS: Resolving Futile Neurons in Parameter Sharing Network for Multi-Agent Reinforcement Learning Authors: Haoyuan Qin; Zhengzhu Liu; Chenxing Lin; Chennan Ma; Songzhu Mei; Siqi Shen; Cheng Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: multi agent reinforcement learning; parameter sharing; gradient conflict
2681	HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning Authors: Chiqiang Liu; Dazi Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Hypergraph Convolution; Dynamic Grouping; Multi-Agent Cooperation
2682	LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination Authors: Lihe Li; Lei Yuan; Pengsen Liu; Tao Jiang; Yang Yu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Large Language Models; Multi-agent Coordination
2683	Learning Mean Field Control on Sparse Graphs Authors: Christian Fabian; Kai Cui; Heinz Koeppl Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Mean Field Control; Large Graphs; Sparse Networks; Multi-Agent Reinforcement Learning
2684	Learning Progress Driven Multi-Agent Curriculum Authors: Wenshuai Zhao; Zhiyuan Li; Joni Pajarinen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Curriculum learning; Temporal difference; Sparse reward
2685	Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization Authors: Zelai Xu; Wanjun Gu; Chao Yu; Yi Wu; Yu Wang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: LLM agents; strategic language games; game-theoretic methods; multi-agent
2686	M³HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality Authors: Ziyan Wang; Zhicheng Zhang; Fei Fang; Yali Du Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Human Feedback
2687	O-MAPL: Offline Multi-agent Preference Learning Authors: The Viet Bui; Tien Anh Mai; Thanh Hong Nguyen Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning; Preference Learning
2688	R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning Authors: Harsh Goel; Mohammad Omama; Behdad Chalaki; Vaishnav Tadiparthi; Ehsan Moradi Pari; Sandeep P. Chinchali Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-agent Reinforcement Learning
2689	Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning Authors: Zhiwei Xu; Kun Hu; Xin Xin; Weiliang Meng; Yiwei Shi; Hangyu Mao; Bin Zhang; Dapeng Li; Jiangjin Yin Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-Agent System; Reinforcement Learning
2690	Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning Authors: Yueheng Li; Guangming Xie; Zongqing Lu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: cooperative multi-agent reinforcement learning; off-policy multi-agent reinforcement learning; value factorization; extrapolation error
2691	Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory Authors: Mason O. Smith; Wenlong Zhang Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Human-autonomy teaming; reinforcement learning; risk; cumulative prospect theory
2692	Robust Multi-Agent Reinforcement Learning with Stochastic Adversary Authors: Ziyuan Zhou; Guanjun Liu; Mengchu Zhou; Weiran Guo Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-Agent Reinforcement Learning; Adversarial Training; Stochastic Adversary; Entropy Maximization
2693	Sable: a Performant, Efficient and Scalable Sequence Model for MARL Authors: Omayma Mahjoub; Sasha Abramowitz; Ruan John de Kock; Wiem Khlifi; Simon Verster Du Toit; Jemma Daniel; Louay Ben Nessir; Louise Beyers; Juan Claude Formanek; Liam Clark; Arnu Pret… Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Multi-agent reinforcement learning; Reinforcement Learning; Sequence modeling; linear recurrent models; Retentive Networks
2694	Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning Authors: Sunwoo Lee; Jaebak Hwang; Yonghyeon Jo; Seungyul Han Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->multiagent Recognition: Poster/Regular Keywords: Reinforcement Learning; Multi-Agent Reinforcement Learning; Robustness; Adversarial Learning
2695	Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning Authors: Mehrdad Moghimi; Hyejin Ku Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Reinforcement Learning; Distributional Reinforcement Learning; Risk Aversion; Spectral Risk Measures; Time-Consistency
2696	Improving Transformer World Models for Data-Efficient RL Authors: Antoine Dedieu; Joseph Ortiz; Xinghua Lou; Carter Wendelken; J Swaroop Guntupalli; Wolfgang Lehrach; Miguel Lazaro-Gredilla; Kevin Patrick Murphy Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Model Based Reinforcement Learning; Background Planning; Transformer World Model
2697	Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback Authors: Canzhe Zhao; Yutian Cheng; Jing Dong; Baoxiang Wang; Shuai Li Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Extensive-form games; partially observable Markov games (POMGs); last-iterate convergence
2698	Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Authors: Max Wilcoxson; Qiyang Li; Kevin Frans; Sergey Levine Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Offline-to-online RL; Unsupervised Pre-training; Exploration
2699	Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction Authors: Yiting He; Zhishuai Liu; Weixin Wang; Pan Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: online learning; distributionally robust Markov decision process; distribution shift
2700	Simple Policy Optimization Authors: Zhengpeng Xie; Qiang Zhang; Fan Yang; Marco Hutter; Renjing Xu Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Model-Free Reinforcement Learning; Policy Optimization
2701	Sleeping Reinforcement Learning Authors: Simone Drago; Marco Mussi; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->online Recognition: Poster/Regular Keywords: Reinforcement Learning; Sleeping; Regret Bounds; Lower Bounds
2702	DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation Authors: Shuyuan Wang; Philip D Loewen; Michael Forbes; Bhushan Gopaluni; Wei Pan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: iLQR; Differentiable control; Learning based control
2703	Flow-based Domain Randomization for Learning and Sequencing Robotic Skills Authors: Aidan Curtis; Eric Li; Michael Noseworthy; Nishad Gothoskar; Sachin Chitta; Hui Li; Leslie Pack Kaelbling; Nicole E Carey Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Domain Randomization; Uncertainty; Assembly; Planning
2704	LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence Authors: Zhuoling Li; Xiaogang Xu; Zhenhua Xu; Ser-Nam Lim; Hengshuang Zhao Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: large auto-regressive model; referee reinforcement learning; embodied intelligence
2705	Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning Authors: Kyowoon Lee; Jaesik Choi Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Offline Reinforcement Learning; Trajectory Optimization; Diffusion Models; Sequential Decision Making
2706	Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning Authors: Cheol Woo Kim; Jai Moondra; Shresth Verma; Madeleine Pollack; Lingkai Kong; Milind Tambe; Swati Gupta Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Reinforcement learning; multi-objective optimization; p-means aggregation
2707	Online Robust Reinforcement Learning Through Monte-Carlo Planning Authors: Tuan Quang Dam; Kishan Panaganti; Brahim Driss; Adam Wierman Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Monte-carlo tree search; distributionally robust reinforcement learning; online reinforcement learning
2708	Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search Authors: Tuan Quang Dam Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Monte-Carlo Tree Search; Continuous Reinforcement Learning Planning
2709	Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity Authors: Qiuhao Wang; Yuqi Zha; Chin Pang Ho; Marek Petrik Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Markov Decision Processes; Average-Reward Markov Decision Processes; Policy Gradient; Robust Optimization
2710	Rejecting Hallucinated State Targets during Planning Authors: Harry Zhao; Tristan Sylvain; Romain Laroche; Doina Precup; Yoshua Bengio Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: reinforcement learning; planning; generative models; hallucinations; delusions; deep learning; neural networks
2711	Subgoal-Guided Policy Heuristic Search with Learned Subgoals Authors: Jake Tuero; Michael Buro; Levi Lelis Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Tree search; heuristic search; policy tree search; planning
2712	Trust-Region Twisted Policy Improvement Authors: Joery A. de Vries; Jinke He; Yaniv Oren; Matthijs T. J. Spaan Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Sequential Monte-Carlo; Monte-Carlo Tree Search; planning; model-based; policy improvement
2713	Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning Authors: Wenhao Zhao; Qiushui Xu; Linjie Xu; Lei Song; Jinyu Wang; Chunlai Zhou; Jiang Bian Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->planning Recognition: Poster/Regular Keywords: decision transformer; cross-domain
2714	Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity Authors: Alessandro Montenegro; Marco Mussi; Matteo Papini; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->policy_search Recognition: Poster/Regular Keywords: reinforcement learning; policy gradients; convergence; deterministic policies
2715	Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning Authors: Xudong Gong; Sen Yang; Feng Dawei; Kele Xu; Bo Ding; Huaimin Wang; Yong Dou Affiliation: 官方页面未列出 Official area / track: reinforcement_learning->policy_search Recognition: Poster/Regular Keywords: Goal-Conditioned Reinforcement Learning; Policy Regularization; Continuity of Goal-Achievement Ability
2716	A Mathematical Framework for AI-Human Integration in Work Authors: L. Elisa Celis; Lingxiao Huang; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: AI and work; human-AI collaboration; worker-job fit modeling; phase transition
2717	Correlated Errors in Large Language Models Authors: Elliot Myunghoon Kim; Avi Garg; Kenny Peng; Nikhil Garg Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: algorithmic monoculture; evaluations; LLMs
2718	Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects Authors: Santiago Cortes-Gomez; Naveen Janaki Raman; Aarti Singh; Bryan Wilder Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Experimental design; RCT; adaptive algorithms; certificate
2719	How to Evaluate and Mitigate IP Infringement in Visual Generative AI? Authors: Zhenting Wang; Chen Chen; Vikash Sehwag; Minzhou Pan; Lingjuan Lyu Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Visual Generative AI; IP Infringement; Memorization
2720	On the Impact of Performative Risk Minimization for Binary Random Variables Authors: Nikita Tsoy; Ivan Kirev; Negin Rahimiyazdi; Nikola Konstantinov Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: performative prediction; impact; sequential decision making
2721	On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents Authors: Jen-tse Huang; Jiaxu Zhou; Tailin Jin; Xuhui Zhou; Zixi Chen; Wenxuan Wang; Youliang Yuan; Michael Lyu; Maarten Sap Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Multi-Agent Collaboration; Large Language Models; Resilience
2722	On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains Authors: Xun Xian; Ganghua Wang; Xuan Bi; Rui Zhang; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Mingyi Hong; Jie Ding Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Healthcare; Safety; RAG
2723	Representative Ranking for Deliberation in the Public Sphere Authors: Manon Revel; Smitha Milli; Tyler Lu; Jamelle Watson-Daniels; Maximilian Nickel Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: social choice; recommender systems; justified representation; deliberative democracy; ranking
2724	SEMU: Singular Value Decomposition for Efficient Machine Unlearning Authors: Marcin Sendera; Łukasz Struski; Kamil Książek; Kryspin Musiol; Jacek Tabor; Dawid Damian Rymarczyk Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: machine unlearning; SVD; AI Safety; Disentanglement; Forgetting
2725	STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Authors: Saksham Rastogi; Pratyush Maini; Danish Pruthi Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: LLM; membership inference; dataset inference; watermarking; test set contamination
2726	Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution Authors: Jiayu Zhang; Xinyi Wang; Zhibo Jin; Zhiyu Zhu; Jianlong Zhou; Fang Chen; Huaming Chen Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Out-of-Distribution Detection; Attribution
2727	Trustworthy Machine Learning through Data-Specific Indistinguishability Authors: Hanshen Xiao; Zhen Yang; G. Edward Suh Affiliation: 官方页面未列出 Official area / track: social_aspects Recognition: Poster/Regular Keywords: Differential trustworthiness; data-specific indistinguishability; memorization; backdoor attacks; copyright
2728	(How) Can Transformers Predict Pseudo-Random Numbers? Authors: Tao Tao; Darshil Doshi; Dayal Singh Kalra; Tianyu He; Maissam Barkeshli Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; In-context learning; Grokking; Transformer; Pseudo-random number generators
2729	A Lens into Interpretable Transformer Mistakes via Semantic Dependency Authors: Ruo-Jing Dong; Yu Yao; Bo Han; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: token-level semantic depdendency; transformer
2730	A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability Authors: Pouria Fatemi; Ehsan Sharifian; Mohammad Hossein Yassaee Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Explainable Artificial Intelligence; Causal Inference; Counterfactuals; Structural Causal Models
2731	A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations Authors: Junwei Su; Chuan Wu Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: graph generation; score-based generative model; convergence analysis
2732	A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Authors: Junwei Deng; Weijing Tang; Jiaqi W. Ma Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: influence function; data attribution
2733	Activation Space Interventions Can Be Transferred Between Large Language Models Authors: Narmeen Fatimah Oozeer; Dhruv Nathawani; Nirmalendu Prakash; Michael Lan; Abir HARRASSE; Amir Abdullah Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Representation Transfer; AI Safety; Mechanistic Interpretability; Refusal Vector; Sleeper Agents; Backdoors
2734	Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization Authors: Emiliano Penaloza; Tianyue H. Zhang; Laurent Charlin; Mateo Espinosa Zarlenga Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Concept Bottleneck Models; Interpretable AI; XAI
2735	Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets Authors: Wei Liu; Zhongyu Niu; Lang Gao; Zhiying Deng; Jun Wang; Haozhao Wang; Ruixuan Li Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Unsupervised rationale extraction; selective rationalization; self-explaining; interpretability
2736	Algorithmic Recourse for Long-Term Improvement Authors: Kentaro Kanamori; Ken Kobayashi; Satoshi Hara; Takuya Takagi Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: algorithmic recourse; counterfactual explanation; contextual linear bandit; contextual Bayesian optimization
2737	Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models Authors: Thomas Fel; Ekdeep Singh Lubana; Jacob S. Prince; Matthew Kowal; Victor Boutin; Isabel Papadimitriou; Binxu Wang; Martin Wattenberg; Demba E. Ba; Talia Konkle Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Explainability; Interpretability; Dictionary Learning; Computer Vision; Archetypal Analysis
2738	Are Sparse Autoencoders Useful? A Case Study in Sparse Probing Authors: Subhash Kantamneni; Joshua Engels; Senthooran Rajamanoharan; Max Tegmark; Neel Nanda Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Sparse Autoencoders; Probing
2739	Auditing Prompt Caching in Language Model APIs Authors: Chenchen Gu; Xiang Lisa Li; Rohith Kuditipudi; Percy Liang; Tatsunori Hashimoto Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: audit; prompt caching; privacy; transparency; large language models
2740	Automatically Interpreting Millions of Features in Large Language Models Authors: Gonçalo Santos Paulo; Alex Troy Mallen; Caden Juang; Nora Belrose Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; language model; sae; features; explanation
2741	Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts Authors: Mateo Espinosa Zarlenga; Gabriele Dominici; Pietro Barbiero; Zohreh Shams; Mateja Jamnik Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: XAI; Concept-based Models; Concept Bottleneck Models; Concept Interventions; Out-of-distristribution; OOD
2742	B-score: Detecting biases in large language models using response history Authors: An Vo; Mohammad Reza Taesiri; Daeyoung Kim; Anh Totti Nguyen Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Large language models; bias; frequency; de-biasing
2743	Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence Authors: Gouki Minegishi; Hiroki Furuta; Shohei Taniguchi; Yusuke Iwasawa; Yutaka Matsuo Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: In Context Learning; Mechanistic Interpretability; Induction Head; Circuits
2744	CoDy: Counterfactual Explainers for Dynamic Graphs Authors: Zhan Qu; Daniel Gomm; Michael Färber Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Explainability; Temporal Graphs; Graph Neural Networks
2745	Concept-Based Unsupervised Domain Adaptation Authors: Xinyue Xu; Yueying Hu; Hui Tang; Yi Qin; Lu Mi; Hao Wang; Xiaomeng Li Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Concepts; Domain Adaptation
2746	Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention Authors: Stephan Rabanser; Ali Shahin Shamsabadi; Olive Franzese; Xiao Wang; Adrian Weller; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: uncertainty; abstention; rejection; selective prediction; zero knowledge; confidence; auditing
2747	Constrain Alignment with Sparse Autoencoders Authors: Qingyu Yin; Chak Tou Leong; Hongbo Zhang; Minjun Zhu; Hanqi Yan; Qiang Zhang; Yulan He; Wenjie Li; Jun Wang; Yue Zhang; Linyi Yang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Alignment; SAE; LLM
2748	Detecting Strategic Deception with Linear Probes Authors: Nicholas Goldowsky-Dill; Bilal Chughtai; Stefan Heimersheim; Marius Hobbhahn Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: probes; deception; interpretability
2749	Discovering Spoofing Attempts on Language Model Watermarks Authors: Thibaud Gloaguen; Nikola Jovanović; Robin Staab; Martin Vechev Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: LLM; watermarks; watermark spoofing
2750	Editable Concept Bottleneck Models Authors: Lijie Hu; Chenyang Ren; Zhengyu Hu; Hongbin Lin; Cheng-Long Wang; Zhen Tan; Weimin Lyu; Jingfeng Zhang; Hui Xiong; Di Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Concept-based Models; Interpretability; Editing
2751	Evaluating Neuron Explanations: A Unified Framework with Sanity Checks Authors: Tuomas Oikarinen; Ge Yan; Tsui-Wei Weng Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Mechanistic Interpretability; Interpretability Evaluation
2752	Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations Authors: Shahaf Bassan; Yizhak Yisrael Elboher; Tobias Ladner; Matthias Althoff; Guy Katz Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: explainability; XAI; explainable AI
2753	Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts Authors: Jiahai Feng; Stuart Russell; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; language models; generalization
2754	Fast Estimation of Partial Dependence Functions using Trees Authors: Jinyang Liu; Tessa Steensgaard; Marvin N. Wright; Niklas Pfister; Munir Hiabu Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: partial dependence; model explanation; functional decomposition
2755	From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models Authors: Xinyang Li; Siqi Liu; Bochao Zou; Jiansheng Chen; Huimin Ma Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Multimodal Large Language Models (MLLMs); Theory of Mind (ToM); Interpretability; Attention Mechanisms
2756	From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms Authors: Jessica Dai; Paula Gradu; Inioluwa Deborah Raji; Benjamin Recht Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: post-deployment auditing and evaluation; fairness; sequential hypothesis testing; public reporting; individual reporting
2757	From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Authors: Moritz Vandenhirtz; Julia E Vogt Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: instance-wise feature selection; feature selection; interpretability; perception-adhering masking
2758	GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation Authors: Yi Cai; Thibaud Ardoin; Gerhard Wunder Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Explainable AI; Feature Attribution; Gradient Estimation; Shapley Value
2759	Graph Inverse Style Transfer for Counterfactual Explainability Authors: Bardh Prenkaj; Efstratios Zaradoukas; Gjergji Kasneci Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Counterfactual Explanations; Style Transfer; Backtracking; Graph Structures; Explainable AI
2760	How Do Transformers Learn Variable Binding in Symbolic Programs? Authors: Yiwei Wu; Atticus Geiger; Raphaël Millière Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: variable binding; mechanistic interpretability; causal interventions; transformers; language models
2761	Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning Authors: Anna Soligo; Pietro Ferraro; David Boyle Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Reinforcement Learning; RL; Interpretability; Modularity
2762	InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Authors: Feifei Li; Mi Zhang; Zhaoxiang Wang; Min Yang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Information Theory; Interpretability; Point Cloud
2763	Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors Authors: Jing Huang; Junyi Tao; Thomas Icard; Diyi Yang; Christopher Potts Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Causal Abstraction; Causal Interpretability; OOD; Correctness Prediction
2764	Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations Authors: Lucy Farnik; Tim Lawson; Conor Houghton; Laurence Aitchison Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Sparse Autoencoders; Superposition; Circuits; AI Safety
2765	LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning Authors: Xiuyi Jia; Jinchi Li; Yunan Lu; Weiwei Li Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Label distribution learning; local interpretability; label dependency
2766	Learning Multi-Level Features with Matryoshka Sparse Autoencoders Authors: Bart Bussmann; Noa Nabeshima; Adam Karvonen; Neel Nanda Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: sparse autoencoders; mechanistic interpretability
2767	Learning to Route LLMs with Confidence Tokens Authors: Yu-Neng Chuang; Prathusha Kameswara Sarma; Parikshit Gopalan; John Boccio; Sara Bolouki; Xia Hu; Helen Zhou Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Large Language Model; LLM Routing; Model Confidence
2768	Leveraging Predictive Equivalence in Decision Trees Authors: Hayden McTavish; Zachery Boner; Jon Donnelly; Margo Seltzer; Cynthia Rudin Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Decision Tree; Interpretability; Machine Learning; Missing Data; Variable Importance; Cost Optimization
2769	Low-Rank Adapting Models for Sparse Autoencoders Authors: Matthew Chen; Joshua Engels; Max Tegmark Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Sparse Autoencoders; Finetuning; Steering
2770	MIB: A Mechanistic Interpretability Benchmark Authors: Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fried Fiotto-Kaufman; Tal Haklay; Michael Hanna; Jing Huang; Rohan Gupt… Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; causality; localization; benchmarking; circuits
2771	Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding Authors: Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu; Yongfeng Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Massive Value; LLM; Contextual Knowledge Understanding
2772	Mixture of Experts Made Intrinsically Interpretable Authors: Xingyi Yang; Constantin Venhoff; Ashkan Khakzar; Christian Schroeder de Witt; Puneet K. Dokania; Adel Bibi; Philip Torr Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Mixture of Expert; Interpretability; Polysemanticity
2773	On Explaining Equivariant Graph Networks via Improved Relevance Propagation Authors: Hongyi Ling; Haiyang Yu; Zhimeng Jiang; Na Zou; Shuiwang Ji Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: equivariant GNNs; XAI
2774	On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks Authors: Junwei Su; Chuan Wu Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: learning theory; graph neural network; graph learning
2775	One Wave To Explain Them All: A Unifying Perspective On Feature Attribution Authors: Gabriel Kasmi; Amandine Brunetto; Thomas Fel; Jayneel Parekh Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; feature attribution; wavelet; images; audio; 3D shapes
2776	Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study Authors: Shelvia Wongso; Rohan Ghosh; Mehul Motani Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: information theory; confidence estimation; deep neural networks
2777	Prediction via Shapley Value Regression Authors: Amr Alkhatib; Roman Bresson; Henrik Boström; Michalis Vazirgiannis Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Explainability; Shapley Value
2778	Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty Authors: Meera Hahn; Wenjun Zeng; Nithish Kannen; Rich Galt; Kartikeya Badola; Been Kim; Zi Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Prompt Underspecification; Interpretability; Explainable AI; Dialog; Human-AI-Interaction; Agents
2779	Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing Authors: Kento Nishi; Rahul Ramesh; Maya Okawa; Mikail Khona; Hidenori Tanaka; Ekdeep Singh Lubana Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: mechanistic interpretability; knowledge editing; transformers
2780	SAE-V: Interpreting Multimodal Models for Enhanced Alignment Authors: Hantao Lou; Changye Li; Jiaming Ji; Yaodong Yang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; alignment; multimodal large language model
2781	SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability Authors: Adam Karvonen; Can Rager; Johnny Lin; Curt Tigges; Joseph Isaac Bloom; David Chanin; Yeu-Tong Lau; Eoin Farrell; Callum Stuart McDougall; Kola Ayonrinde; Demian Till; Matthew Wear… Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Sparse autoencoders; mechanistic interpretability; evaluations
2782	SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders Authors: Bartosz Cywiński; Kamil Deja Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: sparse autoencoder; diffusion model; unlearning; interpretability
2783	SPEX: Scaling Feature Interaction Explanations for LLMs Authors: Justin Singh Kang; Landon Butler; Abhineet Agarwal; Yigit Efe Erginbas; Ramtin Pedarsani; Bin Yu; Kannan Ramchandran Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Signal Processing; Compressed Sensing; SHAP; Interactions
2784	Selective Preference Aggregation Authors: Shreyas Kadekodi; Hayden McTavish; Berk Ustun Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Ranking; Disagreement; Preference Aggregation; Social Choice; Pluralistic Alignment
2785	Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups Authors: Weiqiu You; Helen Qu; Marco Gatti; Bhuvnesh Jain; Eric Wong Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: explainability; interpretability; faithfulness; self-explaining models; feature attribution
2786	TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference Authors: Jack Min Ong; Matthew Di Ferrante; Aaron Pazdera; Ryan Garner; Sami Jaghouar; Manveer Basra; Max Ryabinin; Johannes Hagemann Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Locality Sensitive Hashing; Large Language Models; Verifiable Computing
2787	Tensor Product Neural Networks for Functional ANOVA Model Authors: Seokhun Park; Insung Kong; yongchan Choi; Chanmoo Park; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Trustworthy AI; Functional ANOVA model; Generalized additive models; Tensor product neural network
2788	Textural or Textual: How Vision-Language Models Read Text in Images Authors: Hanzhang Wang; Qingyuan Ma Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Typographic Attack; Vision-Language Models; Intrinsic Dimension; CLIP
2789	The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them) Authors: Zihao Wang; Yibo Jiang; Jiahao Yu; Heqing Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: LLM; role-separation; shortcut learning; position encoding
2790	Towards Attributions of Input Variables in a Coalition Authors: Xinhao Zheng; Huiqi Deng; Quanshi Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Attribution methods; Shapley value
2791	Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models Authors: Yinhan He; Wendy Zheng; Yushun Dong; Yaochen Zhu; Chen Chen; Jundong Li Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Mechanistic Interpretability; Modular Circuits
2792	Towards flexible perception with visual memory Authors: Robert Geirhos; Priyank Jaini; Austin Stone; Sourabh Medapati; Xi Yi; George Toderici; Abhijit Ogale; Jonathon Shlens Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: retrieval; memory; interpretability; unlearning
2793	Understanding Fixed Predictions via Confined Regions Authors: Connor Lawless; Tsui-Wei Weng; Berk Ustun; Madeleine Udell Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: algorithmic recourse; explainability; interpretability; trustworthy ML; discrete optimization
2794	Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Authors: Harrish Thasarathan; Julian Forsyth; Thomas Fel; Matthew Kowal; Konstantinos G. Derpanis Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: Interpretability; Concepts; Sparse Autoencoders
2795	Validating Mechanistic Interpretations: An Axiomatic Approach Authors: Nils Palumbo; Ravi Mangal; Zifan Wang; Saranya Vijayakumar; Corina S. Pasareanu; Somesh Jha Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: mechanistic interpretability; axiomatic approach
2796	Vision-Language Models Create Cross-Modal Task Representations Authors: Grace Luo; Trevor Darrell; Amir Bar Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: vision-language models; multimodal models; task vectors; function vectors; in-context learning; interpretability
2797	What makes an Ensemble (Un) Interpretable? Authors: Shahaf Bassan; Guy Amir; Meirav Zehavi; Guy Katz Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; explainable AI
2798	Which Attention Heads Matter for In-Context Learning? Authors: Kayo Yin; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: interpretability; in-context learning; large language models; mechanistic interpretability; induction heads
2799	X-Hacking: The Threat of Misguided AutoML Authors: Rahul Sharma; Sumantrak Mukherjee; Andrea Sipka; Eyke Hüllermeier; Sebastian Josef Vollmer; Sergey Redyuk; David Antony Selby Affiliation: 官方页面未列出 Official area / track: social_aspects->accountability_transparency_and_interpretability Recognition: Poster/Regular Keywords: explainable AI; SHAP; AutoML; Model Multiplicity; Rashomon sets; Ethics; Reproducibility
2800	Clone-Robust AI Alignment Authors: Ariel D. Procaccia; Benjamin Schiffer; Shirley Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: RLHF; AI alignment; social choice
2801	Direct Density Ratio Optimization: A Statistically Consistent Approach to Aligning Large Language Models Authors: Rei Higuchi; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: LLM Alignment; Statistical Consistency; Density Ratio Estimation; Unpaired Preference Data
2802	Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes Authors: Zhuocheng Gong; Jian Guan; Wei Wu; Huishuai Zhang; Dongyan Zhao Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: large language model; preference modeling
2803	Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective Authors: Yunzhen Yao; Lie He; Michael Gastpar Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: preference learning; RLHF; sparsity; statistical estimation; reward modeling; sample efficiency
2804	MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Authors: Sebastian Farquhar; Vikrant Varma; David Lindner; David Elson; Caleb Biddulph; Ian Goodfellow; Rohin Shah Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: AI Alignment; Myopic Optimization; Reinforcement Learning; LLM Agents; Process Supervision
2805	Preference learning made easy: Everything should be understood through win rate Authors: Lily H Zhang; Rajesh Ranganath Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: preference learning; alignment; RLHF
2806	SPRI: Aligning Large Language Models with Context-Situated Principles Authors: Hongli Zhan; Muneeza Azmat; Raya Horesh; Junyi Jessy Li; Mikhail Yurochkin Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: Large Language Models; Alignment; Scalable Context-Situated Oversight
2807	Safety Alignment Can Be Not Superficial With Explicit Safety Signals Authors: Jianwei Li; Jung-Eun Kim Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: Large Language Model; LLM; Safety Alignment
2808	Self-Consuming Generative Models with Adversarially Curated Data Authors: Xiukun Wei; Xueru Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: generative model; self-consuming loop; human feedback; adversarial curation; attack algorithms
2809	The Elicitation Game: Evaluating Capability Elicitation Techniques Authors: Felix Hofstätter; Teun van der Weij; Jayden Teoh; Rada Djoneva; Henning Bartsch; Francis Rhys Ward Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: evaluations; capability elicitation; model organisms
2810	The Lock-in Hypothesis: Stagnation by Algorithm Authors: Tianyi Qiu; Zhonghao He; Tejasveer Chugh; Max Kleiman-Weiner Affiliation: 官方页面未列出 Official area / track: social_aspects->alignment Recognition: Poster/Regular Keywords: Value lock-in; Human-AI interaction; AI Alignment
2811	Accelerating Spectral Clustering under Fairness Constraints Authors: Francesco Tonin; Alex Lambert; Johan Suykens; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: fairness; spectral clustering; difference of convex; scalability
2812	Disparate Conditional Prediction in Multiclass Classifiers Authors: Sivan Sabato; Eran Treister; Elad Yom-Tov Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: fairness; optimization; multiclass; auditing
2813	Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Authors: Yuefan Cao; Xiaoyu Li; Yingyu Liang; Zhizhou Sha; Zhenmei Shi; Zhao Song; Jiahao Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Desk Reject Mechanism; Fairness; Mathematical Analysis
2814	FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems Authors: Arya Fayyazi; Mehdi Kamal; Massoud Pedram Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Large Language Models; Conformal Prediction; Fairness; Repair; Embedding; Bias; Prompt Engineering; Adversarial
2815	FDGen: A Fairness-Aware Graph Generation Model Authors: Zichong Wang; Wenbin Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Fairness; Graph Learning; Graph Generation
2816	Fair Clustering via Alignment Authors: Kunwoong Kim; Jihu Lee; Sangchul Park; Yongdai Kim Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Clustering; Fairness; Trustworthy AI
2817	FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation Authors: Yuheng Lai; Leying Guan Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Algorithmic fairness; Equalized odds; Adversarial learning; Inverse conditional permutation
2818	Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective Authors: Firas Laakom; Haobo Chen; Jürgen Schmidhuber; Yuheng Bu Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: information-theoretic bounds; fairness; generalization error bounds; fairness overfitting
2819	Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness Authors: Haoxuan Li; Zeyu Tang; Zhichao Jiang; Zhuangyan Fang; Yue Liu; Zhi Geng; Kun Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Counterfactual fairness; Principal strata
2820	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Authors: Yinong Oliver Wang; Nivedha Sivakumar; Falaah Arif Khan; Katherine Metcalf; Adam Golinski; Natalie Mackraz; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Fairness; Uncertainty; Large Language Models
2821	KGMark: A Diffusion Watermark for Knowledge Graphs Authors: Hongrui Peng; Haolang Lu; Yuanlong Yu; WeiYe Fu; Kun Wang; Guoshun Nan Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Watermarking; Knowledge Graph; Diffusion Models; Generative Models
2822	Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage Authors: Konstantina Bairaktari; Jiayun Wu; Steven Wu Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: conformal prediction; conditional coverage; prediction sets; uncertainty quantification; distribution shift; multigroup fairness
2823	Multiaccuracy and Multicalibration via Proxy Groups Authors: Beepul Bharti; Mary Versa Clemens-Sewall; Paul Yi; Jeremias Sulam Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: multicalibration; multiaccuracy; fairness
2824	On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness Authors: Junyi Chai; Taeuk Jang; Jing Gao; Xiaoqian Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: fairness; adversarial robustness
2825	Optimal Fair Learning Robust to Adversarial Distribution Shift Authors: Sushant Agarwal; Amit Deshpande; Rajmohan Rajaraman; Ravi Sundaram Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Fairness; Randomization; Classification; Bayes-Optimal; Robustness; Distribution Shift; Adversarial Noise; Corrupted Data
2826	Policy Design for Two-sided Platforms with Participation Dynamics Authors: Haruka Kiyohara; Fan Yao; Sarah Dean Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: two-sided platforms; provider-fairness; bandits; population dynamics
2827	Relative Error Fair Clustering in the Weak-Strong Oracle Model Authors: Vladimir Braverman; Prathamesh Dharangutte; Shaofeng H.-C. Jiang; Hoai-An Nguyen; Chen Wang; Yubo Zhang; Samson Zhou Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: clustering; weak-strong oracle model; fairness
2828	Subgroups Matter for Robust Bias Mitigation Authors: Anissa Alloula; Charles Jones; Ben Glocker; Bartlomiej Papiez Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: bias mitigation; robustness; spurious correlations; generalisation; fairness
2829	The Disparate Benefits of Deep Ensembles Authors: Kajetan Schweighofer; Adrian Arnaiz-Rodriguez; Sepp Hochreiter; Nuria M Oliver Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Deep Ensembles; Disparate Benefits; Predictive Diversity; Algorithmic Fairness; Post-Processing
2830	Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations Authors: Lee Cohen; Connie Hong; Jack Hsieh; Judy Hanwen Shen Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: fairness; strategic classification; hiring; societal impacts; trustworthy machine learning
2831	Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Authors: Tianyi Zhang; Yu Cao; Dianbo Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: federated learning; heterogeneous data; discretization
2832	You Get What You Give: Reciprocally Fair Federated Learning Authors: Aniket Murhekar; Jiaxin Song; Parnian Shahkar; Bhaskar Ray Chaudhury; Ruta Mehta Affiliation: 官方页面未列出 Official area / track: social_aspects->fairness Recognition: Poster/Regular Keywords: Federated learning; Nash equilibrium; mechanism design; fairness
2833	Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning Authors: Erchi Wang; Yuqing Zhu; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Learning half-spaces; margin theory; private optimization
2834	An Efficient Private GPT Never Autoregressively Decodes Authors: Zhengyi Li; Yue Guan; Kang Yang; Yu Feng; Ning Liu; Yu Yu; Jingwen Leng; Minyi Guo Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: privacy-preserving machine learning; GPT; homomorphic encryption; multi-party computation
2835	Approximate Differential Privacy of the $\ell_2$ Mechanism Authors: Matthew Joseph; Alex Kulesza; Alexander Yu Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy
2836	Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition 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_aspects->privacy Recognition: Poster/Regular Keywords: Differential privacy; graph sparsification; graph cuts
2837	CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning Authors: Xuankun Rong; Jianshu Zhang; Kun He; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Continual Learning
2838	Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy Authors: Haoqi Wu; Wei Dai; Wang Li; Qiang Yan Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; private selection; large language model; black-box inference
2839	Certification for Differentially Private Prediction in Gradient-Based Training Authors: Matthew Robert Wicker; Philip Sosnin; Igor Shilov; Adrianna Janik; Mark Niklas Mueller; Yves-Alexandre de Montjoye; Adrian Weller; Calvin Tsay Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Convex Optimization; Deep Learning
2840	Certified Unlearning for Neural Networks Authors: Anastasia Koloskova; Youssef Allouah; Animesh Jha; Rachid Guerraoui; Sanmi Koyejo Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: machine unlearning; privacy amplification by stochastic post processing; privacy amplification by iteration
2841	Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Authors: Yuecheng Li; Lele Fu; Tong Wang; Jian Lou; Bin Chen; Lei Yang; Jian Shen; Zibin Zheng; Chuan Chen Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Differential Privacy; Utility-Privacy Trade-off
2842	Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Authors: Tianyuan Zou; Yang Liu; Peng Li; Yufei Xiong; Jianqing Zhang; Jingjing Liu; Xiaozhou Ye; Ye Ouyang; Ya-Qin Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differentially Private Synthetic Dataset; Collaboration between Private Data and Private Model; Fusion of Pre-trained Language Model
2843	DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Authors: Alexander Bienstock; Ujjwal Kumar; Antigoni Polychroniadou Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: federated learning; differential privacy; matrix mechanism; cryptography
2844	DRAG: Data Reconstruction Attack using Guided Diffusion Authors: Wa-Kin Lei; Jun-Cheng Chen; Shang-Tse Chen Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Data Reconstruction Attack; Privacy; Diffusion Model
2845	Differential Privacy Under Class Imbalance: Methods and Empirical Insights Authors: Lucas Rosenblatt; Yuliia Lut; Ethan Turok; Marco Avella Medina; Rachel Cummings Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; imbalanced learning; synthetic data; binary classification
2846	Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference Authors: Ce Zhang; Yixin Han; Yafei Wang; Xiaodong Yan; Linglong Kong; Ting Li; Bei Jiang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Binary response model; Differential privacy; Inference; Optimality; Randomized response
2847	Differentially Private Boxplots Authors: Kelly Ramsay; Jairo Diaz-Rodriguez Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; data visualization; boxplots; exploratory data analysis
2848	Differentially Private Federated $k$-Means Clustering with Server-Side Data Authors: Jonathan Scott; Christoph H. Lampert; David Saulpic Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; k-Means Clustering; Differential Privacy
2849	Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model Authors: Rachel Cummings; Alessandro Epasto; Jieming Mao; Tamalika Mukherjee; Tingting Ou; Peilin Zhong Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; counting distinct elements; streaming data; turnstile; continual observation; continual release; sublinear space
2850	Distributed Differentially Private Data Analytics via Secure Sketching Authors: Jakob Burkhardt; Hannah Keller; Claudio Orlandi; Chris Schwiegelshohn Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differntial privacy; sketching; secure multiparty computation
2851	EgoPrivacy: What Your First-Person Camera Says About You? Authors: Yijiang Li; Genpei Zhang; Jiacheng Cheng; Yi Li; Xiaojun Shan; Dashan Gao; Jiancheng Lyu; Yuan Li; Ning Bi; Nuno Vasconcelos Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: egocentric vision; privacy; retrieval
2852	Empirical Privacy Variance Authors: Yuzheng Hu; Fan Wu; Ruicheng Xian; Yuhang Liu; Lydia Zakynthinou; Pritish Kamath; Chiyuan Zhang; David Forsyth Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; empirical privacy; DP-SGD; hyperparameter selection
2853	EncryptedLLM: Privacy-Preserving Large Language Model Inference via GPU-Accelerated Fully Homomorphic Encryption Authors: Leo de Castro; Daniel Escudero; Adya Agrawal; Antigoni Polychroniadou; Manuela Veloso Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Fully homomorphic encryption; encrypted inference; approximate activation functions
2854	FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Authors: Xinting Liao; Weiming Liu; Jiaming Qian; Pengyang Zhou; Jiahe Xu; Wenjie Wang; Chaochao Chen; Xiaolin Zheng; Tat-Seng Chua Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Out-of-distribution
2855	Fast Exact Unlearning for In-Context Learning Data for LLMs Authors: Andrei Ioan Muresanu; Anvith Thudi; Michael R. Zhang; Nicolas Papernot Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Exact Unlearning; Large Language Models; In-Context Learning
2856	Faster Rates for Private Adversarial Bandits Authors: Hilal Asi; Vinod Raman; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Bandits
2857	Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation Authors: Yihao Yang; Wenke Huang; Guancheng Wan; Bin Yang; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Parameter-Efficient Fine-Tuning; Vision-Language Model; Data Heterogeneity
2858	GHOST: Generalizable One-Shot Federated Graph Learning with Proxy-Based Topology Knowledge Retention Authors: Jiaru Qian; Guancheng Wan; Wenke Huang; Guibin Zhang; Yuxin Wu; Bo Du; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Graph Learning
2859	Gradient Inversion of Multimodal Models Authors: Omri Ben Hemo; Alon Zolfi; Oryan Yehezkel; Omer Hofman; Roman Vainshtein; Hisashi Kojima; Yuval Elovici; Asaf Shabtai Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Privacy; Gradient Inversion; Federated Learning; Multimodal; Vision-Language; Document Question Answering
2860	Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization Authors: Guy Kornowski; Daogao Liu; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential privacy; nonconvex optimization; nonsmooth optimization; Goldstein stationarity
2861	It's My Data Too: Private ML for Datasets with Multi-User Training Examples Authors: Arun Ganesh; Ryan McKenna; Hugh Brendan McMahan; Adam Smith; Fan Wu Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; multi-attribution
2862	Janus: Dual-Server Multi-Round Secure Aggregation with Verifiability for Federated Learning Authors: Lang Pu; Jingjing Gu; Chao Lin; Xinyi Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: federated learning; multi-round secure aggregation; privacy enhancement
2863	Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization Authors: Guopeng Lin; Ruisheng Zhou; Shuyu Chen; Weili Han; Jin Tan; Wenjing Fang; Lei Wang; Tao Wei Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Privacy Preservation; K-Nearest Neighbors
2864	Leveraging Model Guidance to Extract Training Data from Personalized Diffusion Models Authors: Xiaoyu Wu; Jiaru Zhang; Steven Wu Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Data Extraction; Copyright Protection; Privacy and Security; Diffusion Models; Trustworthy AI
2865	Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Authors: Andy Dong; Wei-Ning Chen; Ayfer Ozgur Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; federated learning; privacy amplification; model parallelism; data subsampling
2866	Local Pan-privacy for Federated Analytics Authors: Vitaly Feldman; Audra McMillan; Guy N. Rothblum; Kunal Talwar Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Pan privacy
2867	Noisy SIGNSGD Is More Differentially Private Than You (Might) Think Authors: Richeng Jin; Huaiyu Dai Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; sign-based compressor
2868	On the Private Estimation of Smooth Transport Maps Authors: Clément Lalanne; Franck Iutzeler; Jean-Michel Loubes; Julien Chhor Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Optimal Transport; Statistics
2869	Optimizing Noise Distributions for Differential Privacy Authors: Atefeh Gilani; Juan Felipe Gomez; Shahab Asoodeh; Flavio Calmon; Oliver Kosut; Lalitha Sankar Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Renyi Differential Privacy; Optimization
2870	Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference Authors: Yusuke Yamasaki; Kenta Niwa; Daiki Chijiwa; Takumi Fukami; Takayuki Miura Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: in-context learning; differential privacy; large language models
2871	Privacy Amplification Through Synthetic Data: Insights from Linear Regression Authors: Clément Pierquin; Aurélien Bellet; Marc Tommasi; Matthieu Boussard Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Synthetic Data
2872	Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation Authors: Roie Reshef; Kfir Yehuda Levy Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Machine Learning; Privacy; Federated Learning
2873	Private Federated Learning using Preference-Optimized Synthetic Data Authors: Charlie Hou; Mei-Yu Wang; Yige Zhu; Daniel Lazar; Giulia Fanti Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential privacy; large language models; synthetic data; federated learning; preference optimization; reinforcement learning
2874	Private Model Personalization Revisited Authors: Conor Snedeker; Xinyu Zhou; Raef Bassily Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Model Personalization; Federated/Multi-task Learning; Representation Learning; Statistical Heterogeneity
2875	Rethinking the Temperature for Federated Heterogeneous Distillation Authors: Fan Qi; Daxu Shi; Chuokun Xu; Shuai Li; Changsheng Xu Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Heterogeneous Federated Learning; Logits Distillation
2876	Scalable Private Partition Selection via Adaptive Weighting Authors: Justin Y. Chen; Vincent Cohen-Addad; Alessandro Epasto; Morteza Zadimoghaddam Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: differential privacy; private partition selection; private set union; parallel algorithms
2877	Scaling Laws for Differentially Private Language Models Authors: Ryan McKenna; Yangsibo Huang; Amer Sinha; Borja Balle; Zachary Charles; Christopher A. Choquette-Choo; Badih Ghazi; Georgios Kaissis; Ravi Kumar; Ruibo Liu; Da Yu; Chiyuan Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: scaling laws; differential privacy
2878	SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Authors: Peihua Mai; Youlong Ding; Ziyan Lyu; Minxin Du; Yan Pang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Secure aggregation; recommender system; federated learning
2879	Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion Authors: David Geissbühler; Hatef Otroshi Shahreza; Sébastien Marcel Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Brownian Identity Diffusion; Face Recognition; Latent Space; Synthetic Dataset
2880	Textual Unlearning Gives a False Sense of Unlearning Authors: Jiacheng Du; Zhibo Wang; Jie Zhang; Xiaoyi Pang; Jiahui Hu; Kui Ren Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: machine unlearning; unlearning auditing; membership inference attacks; data reconstruction attacks
2881	Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models Authors: Quan Minh Nguyen; Minh N. Vu; Truc Nguyen; My T. Thai Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Federated Learning; Differential Privacy; Membership Inference Attack
2882	Towards Trustworthy Federated Learning with Untrusted Participants Authors: Youssef Allouah; Rachid Guerraoui; John Stephan Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: distributed machine learning; differential privacy; robustness; federated learning; trustworthy machine learning
2883	Tracking The Best Expert Privately Authors: Hilal Asi; Vinod Raman; Aadirupa Saha Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Differential Privacy; Online Learning
2884	Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning Authors: Rongzhe Wei; Mufei Li; Mohsen Ghassemi; Eleonora Kreacic; Yifan Li; Xiang Yue; Bo Li; Vamsi K. Potluru; Pan Li; Eli Chien Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Machine Unlearning; Minority Groups; Large Language Models
2885	Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models Authors: Jiachen Yang; Yusong Wang; Yanmei Fang; Yunshu Dai; Fangjun Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Customized Latent Diffusion Models; Adversarial Attacks; Privacy Protection; Transferability; AI Security
2886	Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models Authors: Tianjie Ju; Yi Hua; Hao Fei; Zhenyu Shao; Yubin Zheng; Haodong Zhao; Mong-Li Lee; Wynne Hsu; Zhuosheng Zhang; Gongshen Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: task-irrelevant privacy; interpretability; multi-modal large language model
2887	XAttnMark: Learning Robust Audio Watermarking with Cross-Attention Authors: Yixin Liu; Lie Lu; Jihui Jin; Lichao Sun; Andrea Fanelli Affiliation: 官方页面未列出 Official area / track: social_aspects->privacy Recognition: Poster/Regular Keywords: Audio Watermarking; Source Attribution; Watermark Robustness
2888	"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift Authors: Harvineet Singh; Fan Xia; Alexej Gossmann; Andrew Chuang; Julian C. Hong; Jean Feng Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Distribution shift; algorithmic fairness; interpretability; explanation; decomposition; mediation analysis
2889	Breaking the Quadratic Barrier: Robust Cardinality Sketches for Adaptive Queries Authors: Edith Cohen; Mihir Singhal; Uri Stemmer Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Sketching; cardinality sketches; robustness to adaptive inputs; adaptive data analysis; differential privacy
2890	Identifying and Understanding Cross-Class Features in Adversarial Training Authors: Zeming Wei; Steven Y. Guo; Yisen Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: adversarial training; robust overfitting; feature attribution; training dynamics
2891	Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting Authors: Min Chen; Guansong Pang; Wenjun Wang; Cheng Yan Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Robust spatial-temporal forecasting; Multi-Layer Perceptron; Information bottleneck
2892	LEMoN: Label Error Detection using Multimodal Neighbors Authors: Haoran Zhang; Aparna Balagopalan; Nassim Oufattole; Hyewon Jeong; Yan Wu; Jiacheng Zhu; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: label error detection; noisy labels; image captions
2893	Learning Classifiers That Induce Markets Authors: Yonatan Sommer; Ivri Hikri; Lotan Amit; Nir Rosenfeld Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: strategic classification; learning-induced markets
2894	Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Authors: Yuan Xin; Dingfan Chen; Michael Backes; Xiao Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Certification; cost-sensitive learning
2895	Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs Authors: Faisal Hamman; Pasan Dissanayake; Saumitra Mishra; Freddy Lecue; Sanghamitra Dutta Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Tabular LLM; Model Multiplicity; Few-shot Learning; Prediction Consistency
2896	Ranked from Within: Ranking Large Multimodal Models Without Labels Authors: Weijie Tu; Weijian Deng; Dylan Campbell; Yu Yao; Jiyang Zheng; Tom Gedeon; Tongliang Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Large Multimodal Models; visual question answering
2897	SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification Authors: Shuo Yang; Bardh Prenkaj; Gjergji Kasneci Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Semantic Bias; Shortcut Learning; Siamese Networks; Model Generalization; Debiasing
2898	Understanding Model Ensemble in Transferable Adversarial Attack Authors: Wei Yao; Zeliang Zhang; Huayi Tang; Yong Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: adversarial transferability; model ensemble attack
2899	Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Authors: Shuoyuan Wang; Yixuan Li; Hongxin Wei Affiliation: 官方页面未列出 Official area / track: social_aspects->robustness Recognition: Poster/Regular Keywords: Vision-Language Models; CLIP; Confidence Calibration; Fine-tuning
2900	$S^2$FGL: Spatial Spectral Federated Graph Learning Authors: Zihan Tan; Suyuan Huang; Guancheng Wan; Wenke Huang; He Li; Mang Ye Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Federated Learning; Safety in Machine Learning
2901	A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment Authors: Edward Y Chang Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: AI safety; ethical alignment; checks-and-balances; behavior modeling
2902	Adversarial Reasoning at Jailbreaking Time Authors: Mahdi Sabbaghi; Paul Kassianik; George J. Pappas; Amin Karbasi; Hamed Hassani Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLMs; Jailbreaking; Reasoning; Test-time compute.
2903	Adversaries Can Misuse Combinations of Safe Models Authors: Erik Jones; Anca Dragan; Jacob Steinhardt Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: safety; misuse; adversary; combining models; attacks; hacking
2904	An End-to-End Model for Logits-Based Large Language Models Watermarking Authors: Kahim Wong; Jicheng Zhou; Jiantao Zhou; Yain-Whar Si Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM watermarking; End-to-end optimization; Robustness
2905	Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack Authors: Tiansheng Huang; Gautam Bhattacharya; Pratik Joshi; Joshua Kimball; Ling Liu Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Harmful fine-tuning attack; Large language models
2906	Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models Authors: Kejia Chen; Jiawen Zhang; Jiacong Hu; Yu Wang; Jian Lou; Zunlei Feng; Mingli Song Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Large Language Model; Preference Alignment; Safety Evaluation
2907	Automated Red Teaming with GOAT: the Generative Offensive Agent Tester Authors: Maya Pavlova; Erik Brinkman; Krithika Iyer; Vítor Albiero; Joanna Bitton; Hailey Nguyen; Cristian Canton Ferrer; Ivan Evtimov; Aaron Grattafiori Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: red teaming; adversarial machine learning; adversarial examples; attacks on language models
2908	CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models Authors: Guangzhi Sun; Xiao Zhan; Shutong Feng; Phil Woodland; Jose Such Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: safety; benchmark; context; large language model; contextual integrity
2909	DIS-CO: Discovering Copyrighted Content in VLMs Training Data Authors: André V. Duarte; Xuandong Zhao; Arlindo L. Oliveira; Lei Li Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Copyrighted Content Detection; Membership Inference Attacks; Large Vision Language Models; Natural Language Processing
2910	Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech Authors: Taesoo Kim; Jinju Kim; Dong Chan Kim; Jong Hwan Ko; Gyeong-Moon Park Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: machine unlearning; zero-shot tts; voice privacy
2911	ELITE: Enhanced Language-Image Toxicity Evaluation for Safety Authors: Wonjun Lee; Doehyeon Lee; Eugene Choi; Sangyoon Yu; Ashkan Yousefpour; Haon Park; Bumsub Ham; Suhyun Kim Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Benchmark; Safety Evaluation; Vision Language Models
2912	Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs Authors: Xun Wang; Jing Xu; Franziska Boenisch; Michael Backes; Christopher A. Choquette-Choo; Adam Dziedzic Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: prompt transfer; soft prompt; privacy; distillation; confidentiality
2913	Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection Authors: Zhipeng Wei; Yuqi Liu; N. Benjamin Erichson Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM safety; Jailbreaking Attacks; Judge LLMs; Token Segmentation
2914	EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers Authors: Daiheng Gao; Shilin Lu; Wenbo Zhou; Jiaming Chu; Jie Zhang; Mengxi Jia; Bang Zhang; Zhaoxin Fan; Weiming Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Concept Erasing; Text2Image; Safety; Unlearning
2915	Improving LLM Safety Alignment with Dual-Objective Optimization Authors: Xuandong Zhao; Will Cai; Tianneng Shi; David Huang; Licong Lin; Song Mei; Dawn Song Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM Safety; Alignment; DPO
2916	Improving Out-of-Distribution Detection via Dynamic Covariance Calibration Authors: Kaiyu Guo; Zijian Wang; Tan Pan; Brian C. Lovell; Mahsa Baktashmotlagh Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Out-of-distribution detection; Mahalanobis distance; Covariance adjustment
2917	Improving Out-of-Distribution Detection with Markov Logic Networks Authors: Konstantin Kirchheim; Frank Ortmeier Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Out-of-Distribution Detection; Markov Logic; Probabilistic Graphical Models; Anomaly Detection
2918	Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning Authors: Mahavir Dabas; Si Chen; Charles Fleming; Ming Jin; Ruoxi Jia Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM; Alignment; Over-refusal
2919	LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models Authors: Lukas Helff; Felix Friedrich; Manuel Brack; Kristian Kersting; Patrick Schramowski Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Safety; Safeguarding; VLM; Dataset curation; Model safeguarding
2920	MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning Authors: Jingfeng Zhang; Prashanth Krishnamurthy; Naman Patel; Anthony Tzes; Farshad Khorrami Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: data poisoning attack; multimodal AI models
2921	MTL-UE: Learning to Learn Nothing for Multi-Task Learning Authors: Yi Yu; Song Xia; SIYUAN YANG; Chenqi Kong; Wenhan Yang; Shijian Lu; Yap-Peng Tan; Alex Kot Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: unlearnable examples; unlearnable datasets; multi-task learning; poisoning attacks
2922	Mind the Gap: A Practical Attack on GGUF Quantization Authors: Kazuki Egashira; Robin Staab; Mark Vero; Jingxuan He; Martin Vechev Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: quantization; large language models; security; poisoning; gguf
2923	Minimalist Concept Erasure in Generative Models Authors: Yang Zhang; Er Jin; Yanfei Dong; Yixuan Wu; Philip Torr; Ashkan Khakzar; Johannes Stegmaier; Kenji Kawaguchi Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Concept removal; unlearning; flow-matching models
2924	OR-Bench: An Over-Refusal Benchmark for Large Language Models Authors: Justin Cui; Wei-Lin Chiang; Ion Stoica; Cho-Jui Hsieh Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: safety; llm; over-refusal
2925	POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization Authors: Batuhan K. Karaman; ishmam zabir; Alon Benhaim; Vishrav Chaudhary; Mert R. Sabuncu; Xia Song Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM safety; LLM usefulness; Overrefusal in LLMs; responsible AI
2926	STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification Authors: Hengrui Lou; Zunlei Feng; Jinsong Geng; Erteng Liu; Jie Lei; Lechao Cheng; Jie Song; Mingli Song; Yijun Bei Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Deepfakes; Forgery Detection; AIGC; Diffusion
2927	SafeArena: Evaluating the Safety of Autonomous Web Agents Authors: Ada Defne Tur; Nicholas Meade; Xing Han Lù; Alejandra Zambrano; Arkil Patel; Esin DURMUS; Spandana Gella; Karolina Stanczak; Siva Reddy Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Agent Safety; Web Agents; LLM Alignment; Jailbreaking
2928	Safety Reasoning with Guidelines Authors: Haoyu Wang; Zeyu Qin; Li Shen; Xueqian Wang; Dacheng Tao; Minhao Cheng Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Safety Alignment; Safety Reasoning; Safety Generalization; OOD Generalization
2929	SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior Authors: Jing-Jing Li; Valentina Pyatkin; Max Kleiman-Weiner; Liwei Jiang; Nouha Dziri; Anne Collins; Jana Schaich Borg; Maarten Sap; Yejin Choi; Sydney Levine Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: AI safety; large language model; interpretability; content moderation
2930	ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning Authors: Zhaorun Chen; Mintong Kang; Bo Li Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM Agent Safety; LLM Guardrail Agent; Policy Compliance; Automated Logic Reasoning
2931	Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions Authors: Yik Siu Chan; Narutatsu Ri; Yuxin Xiao; Marzyeh Ghassemi Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: safety; jailbreak; large language models; human-LLM interactions
2932	TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models Authors: Kangjie Chen; Li Muyang; Guanlin Li; Shudong Zhang; Shangwei Guo; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Vision Language Models; Red-teaming; Trustworthy AI
2933	Test-Time Multimodal Backdoor Detection by Contrastive Prompting Authors: Yuwei Niu; Shuo He; Qi Wei; Zongyu Wu; Feng Liu; Lei Feng Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Multimodal contrastive learning; test-time backdoor detection
2934	The Limits of Predicting Agents from Behaviour Authors: Alexis Bellot; Jonathan Richens; Tom Everitt Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Safety; Alignment; Causality; Partial Identification.
2935	The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret Authors: Lukas Fluri; Leon Lang; Alessandro Abate; Patrick Forré; David Krueger; Joar Max Viktor Skalse Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Reward learning; RLHF; RL; Safety; Distributional shift; Generalization; Learning Theory
2936	Towards Black-Box Membership Inference Attack for Diffusion Models Authors: Jingwei Li; Jing Dong; Tianxing He; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: diffusion model; membership inference attack
2937	WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Authors: Songbai Tan; Xuerui Qiu; Yao Shu; Gang Xu; Linrui Xu; Xiangyu Xu; Huiping Zhuang; Ming Li; Fei Yu Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: Watermarked image understanding
2938	Weak-to-Strong Jailbreaking on Large Language Models Authors: Xuandong Zhao; Xianjun Yang; Tianyu Pang; Chao Du; Lei Li; Yu-Xiang Wang; William Yang Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->safety Recognition: Poster/Regular Keywords: LLM; AI safety; Jailbreaking
2939	Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time Authors: Xiaoxuan Han; Songlin Yang; Wei Wang; Yang Li; Jing Dong Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Diffusion Model; Machine Unlearning; Adversarial Robustness
2940	AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs Authors: Anselm Paulus; Arman Zharmagambetov; Chuan Guo; Brandon Amos; Yuandong Tian Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: adversarial attacks; prompt optimization; red-teaming LLMs
2941	Adversarial Inception Backdoor Attacks against Reinforcement Learning Authors: Ethan Rathbun; Alina Oprea; Christopher Amato Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: backdoor attacks; adversarial machine learning; reinforcement learning; poisoning attacks
2942	BiMark: Unbiased Multilayer Watermarking for Large Language Models Authors: Xiaoyan Feng; He Zhang; Yanjun Zhang; Leo Yu Zhang; Shirui Pan Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Language Model Watermarking; Text Generation; Model Security; AI Security; Large Language Model
2943	Black-Box Adversarial Attacks on LLM-Based Code Completion Authors: Slobodan Jenko; Niels Mündler; Jingxuan He; Mark Vero; Martin Vechev Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: code completion; security; code security; adversarial attacks; black-box; large language models; large language model
2944	Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning Authors: Ankit Pratap Singh; Ahmed Ali Abbasi; Namrata Vaswani Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Byzantine robustness; Low Rank Matrix Recovery; Multi-Task Representation Learning
2945	Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs Authors: Haoming Yang; Ke Ma; Xiaojun Jia; Yingfei Sun; Qianqian Xu; Qingming Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Jailbreak attack; large language models
2946	Circumventing Backdoor Space via Weight Symmetry Authors: Jie Peng; Hongwei Yang; Jing Zhao; Hengji Dong; Hui He; Weizhe Zhang; Haoyu He Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: AI security; backdoor defenses; mode connectivity; permutation invariance
2947	Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems Authors: YUTONG WU; Jie Zhang; Yiming Li; Chao Zhang; Qing Guo; Han Qiu; Nils Lukas; Tianwei Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: VLM; Adversarial Examples; Infectious Attack
2948	De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks Authors: Wei Fan; Kejiang Chen; Chang Liu; Weiming Zhang; Nenghai Yu Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Adversarial Purification; Speech Synthesis; DeepFake Defense; Adversarial Attack; Diffusion Models
2949	Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? Authors: Zi Liang; Haibo Hu; Qingqing Ye; Yaxin Xiao; RongHua Li Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Low Rank Adaptation; Large Language Models; Backdoor Attacks; Poisoning Attacks
2950	ExpProof : Operationalizing Explanations for Confidential Models with ZKPs Authors: Chhavi Yadav; Evan Laufer; Dan Boneh; Kamalika Chaudhuri Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Explanations; Zero-Knowledge Proofs
2951	Gandalf the Red: Adaptive Security for LLMs Authors: Niklas Pfister; Václav Volhejn; Manuel Knott; Santiago Arias; Julia Bazinska; Mykhailo Bichurin; Alan Y. Commike; Janet Darling; Peter Dienes; Matthew Fiedler; David Haber; Matthi… Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Large language models; Security; Safety; Threat model; Crowd-sourcing
2952	GaussMarker: Robust Dual-Domain Watermark for Diffusion Models Authors: Kecen Li; Zhicong Huang; Xinwen Hou; Cheng Hong Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Diffusion Models; Watermark
2953	Hardware and Software Platform Inference Authors: Cheng Zhang; Hanna Foerster; Robert D. Mullins; Yiren Zhao; Ilia Shumailov Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: ML security; ML governance
2954	MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents Authors: Kaijie Zhu; Xianjun Yang; Jindong Wang; Wenbo Guo; William Yang Wang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Indirect prompt injection; Agent system for tool use; Large langugae models
2955	MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge Authors: Yue Dai; Liang Liu; Xulong Tang; Youtao Zhang; Jun Yang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Adversarial Attack; Graph Neural Network; Dynamic Graph
2956	MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges Authors: Shixi Qin; Zhiyong Yang; Shilong Bao; Shi Wang; Qianqian Xu; Qingming Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Backdoor Attack; Schrödinger Bridge
2957	Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition Authors: Shuai Yuan; Hongwei Li; Rui Zhang; Hangcheng Cao; Wenbo Jiang; Tao Ni; Wenshu Fan; Qingchuan Zhao; Guowen Xu Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Physical adversarial attack; Face recognition; Robustness.
2958	One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework Authors: Feiran Li; Qianqian Xu; Shilong Bao; Zhiyong Yang; Xiaochun Cao; Qingming Huang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Diffusion Model; Concept Erasing; Image Generation
2959	Optimal Survey Design for Private Mean Estimation Authors: Yu-Wei Chen; Raghu Pasupathy; Jordan Awan Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Differential Privacy; Experimental Design; Stratified sampling; Subsampling; Privacy Amplification
2960	PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models Authors: Chenyang Zhang; Xiaoyu Zhang; Jian Lou; Kai Wu; Zilong Wang; Xiaofeng Chen Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: poisoning attack; retrieval-augmented generation; vision-language models
2961	Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection Authors: Anirudh Sundara Rajan; Yong Jae Lee Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Image Forensics; Spurious Correlation Mitigation
2962	Stealix: Model Stealing via Prompt Evolution Authors: Zhixiong Zhuang; Hui-Po Wang; Maria-Irina Nicolae; Mario Fritz Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: model stealing; security; genetic algorithm; prompt optimization
2963	The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Authors: Rui Zhang; Yun Shen; Hongwei Li; Wenbo Jiang; Hanxiao Chen; Yuan Zhang; Guowen Xu; Yang Zhang Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Backdoor attacks; backdoor complications; pretrained language model
2964	Topological Signatures of Adversaries in Multimodal Alignments Authors: Minh N. Vu; Geigh Zollicoffer; Huy Mai; Ben Nebgen; Boian Alexandrov; Manish Bhattarai Affiliation: 官方页面未列出 Official area / track: social_aspects->security Recognition: Poster/Regular Keywords: Multimodal Adversarial Detection; Persistent homology; Text-image alignment; Maximum Mean Discrepancy Test
2965	Conformal Tail Risk Control for Large Language Model Alignment Authors: Catherine Chen; Jingyan Shen; Zhun Deng; Lihua Lei Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: large language models; conformal risk control; human-machine alignment; model calibration; L-statistics
2966	Convergence of Consistency Model with Multistep Sampling under General Data Assumptions Authors: Yiding Chen; Yiyi Zhang; Owen Oertell; Wen Sun Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Consistency models; diffusion models; learning theory
2967	Faster Approximation Algorithms for k-Center via Data Reduction Authors: Arnold Filtser; Shaofeng H.-C. Jiang; Yi Li; Anurag Murty Naredla; Ioannis Psarros; Qiaoyuan Yang; Qin Zhang Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: k-center; clustering; Euclidean; high dimension; coreset
2968	Improved Approximations for Hard Graph Problems using Predictions Authors: Anders Aamand; Justin Y. Chen; Siddharth Gollapudi; Sandeep Silwal; Hao WU Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: learning-augmented algorithms; learning augmented algorithms; data driven algorithms; data-driven algorithms; combinatorial optimization; approximation algorit…
2969	Learning-Augmented Hierarchical Clustering Authors: Vladimir Braverman; Jon C. Ergun; Chen Wang; Samson Zhou Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: hierarchical clustering; learning-augmented algorithms
2970	Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers Authors: Alireza Amiri Bavandpour; Xinting Huang; Mark Rofin; Michael Hahn Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: theory; lower bounds; chain-of-thought; transformers
2971	Measuring Diversity: Axioms and Challenges Authors: Mikhail Mironov; Liudmila Prokhorenkova Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: diversity measure; desirable properties; axiomatic approach
2972	On the Similarities of Embeddings in Contrastive Learning Authors: Chungpa Lee; Sehee Lim; Kibok Lee; Jy-yong Sohn Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: contrastive learning; representation learning; embedding; similarity; negative pair; positive pair; variance
2973	Private Lossless Multiple Release Authors: Joel Daniel Andersson; Lukas Retschmeier; Boel Nelson; Rasmus Pagh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: algorithms; differential privacy
2974	Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density Authors: Subhodh Kotekal Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Fisher information; minimax estimation; functional estimation; information theory
2975	Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs Authors: Siddharth Gollapudi; Ravishankar Krishnaswamy; Kirankumar Shiragur; Harsh Wardhan Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Nearest neighbor search
2976	Theoretical guarantees on the best-of-n alignment policy Authors: Ahmad Beirami; Alekh Agarwal; Jonathan Berant; Alexander Nicholas D'Amour; Jacob Eisenstein; Chirag Nagpal; Ananda Theertha Suresh Affiliation: 官方页面未列出 Official area / track: theory Recognition: Poster/Regular Keywords: Alignment; rejection sampling; KL divergence
2977	Algorithms and Hardness for Active Learning on Graphs Authors: Vincent Cohen-Addad; Silvio Lattanzi; Simon Meierhans Affiliation: 官方页面未列出 Official area / track: theory->active_learning_and_interactive_learning Recognition: Poster/Regular Keywords: graph; active learning; label selection; resource augmented algorithms; approximation algorithms
2978	Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect Authors: Ojash Neopane; Aaditya Ramdas; Aarti Singh Affiliation: 官方页面未列出 Official area / track: theory->active_learning_and_interactive_learning Recognition: Poster/Regular Keywords: Multi-Armed Bandits; Causal Inference; Average Treatment Effect
2979	A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations Authors: Antoine Gonon; Nicolas Brisebarre; Elisa Riccietti; Rémi Gribonval Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: relu neural networks; Lipschitz; rescaling-symmetry; path-lifting
2980	A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Authors: Muhammed Ustaomeroglu; Guannan Qu Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: attention; self-attention; deep learning; theory; representation; convergence; generalization; interactions
2981	Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression Authors: Jingfeng Wu; Peter Bartlett; Matus Telgarsky; Bin Yu Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Implicit Regularization; GD; Early Stopping; Logistic Regression; Overparameterization
2982	Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment Authors: Yifan Zhang; Ge Zhang; Yue Wu; Kangping Xu; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: reinforcement learning from human feedback; preference modeling
2983	Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images? Authors: Yujin Han; Andi Han; Wei Huang; Chaochao Lu; Difan Zou Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Diffusion Model; Deep Generative Model
2984	Can Transformers Reason Logically? A Study in SAT Solving Authors: Leyan Pan; Vijay Ganesh; Jacob Abernethy; Chris Esposo; Wenke Lee Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Transformers; Logical Reasoning; SAT-Solving
2985	Compact Matrix Quantum Group Equivariant Neural Networks Authors: Edward Pearce-Crump Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: deep learning theory; equivariant neural networks; quantum groups
2986	Consensus Is All You Get: The Role of Attention in Transformers Authors: Álvaro Rodríguez Abella; João Pedro Silvestre; Paulo Tabuada Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Attention; Transformers; Consensus
2987	Curse of High Dimensionality Issue in Transformer for Long Context Modeling Authors: Shuhai Zhang; Zeng You; Yaofo Chen; Zhiquan Wen; Qianyue Wang; Zhijie Qiu; Yuanqing Li; Mingkui Tan Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Large language models; Transformer
2988	Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines Authors: Sho Sonoda; Yuka Hashimoto; Isao Ishikawa; Masahiro Ikeda Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: ridgelet transform; group representation; harmonic analysis
2989	Eigen Analysis of Conjugate Kernel and Neural Tangent Kernel Authors: Xiangchao Li; Xiao Han; Qing Yang Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Deep learning theory; high-dimensional statistics; neural tangent kernel; random matrix theory
2990	Equivariant Neural Tangent Kernels Authors: Philipp Misof; Pan Kessel; Jan E Gerken Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: neural tangent kernel; equivariant neural networks; geometric deep learning; data augmentation
2991	From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning Authors: Noa Rubin; Kirsten Fischer; Javed Lindner; Inbar Seroussi; Zohar Ringel; Michael Krämer; Moritz Helias Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: feature learning; deep learning theory; statistical field theory; lazy & rich learning
2992	Grokking Beyond the Euclidean Norm of Model Parameters Authors: Tikeng Notsawo Pascal Junior; Guillaume Dumas; Guillaume Rabusseau Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Grokking; Delayed Generalization; Regularization; Sparsity; Low-Rank; Overparameterization; Gradient Descent; Implicit Regularization
2993	Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms Authors: Detian Zhang; Chengqiang Zhang; Yanghui Rao; Li Qing; Chunjiang Zhu Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Hypergraph Isomorphism Test; Generalized Weisfeiler-Leman Algorithms; Hypergraph Neural Networks; Graph Neural Networks; Expressive Power
2994	Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization Authors: Yang Chen; Long Yang; Yitao Liang; Zhouchen Lin Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Length Generalization
2995	Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Authors: Joonkyu Kim; Yejin Kim; Jy-yong Sohn Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Continual Learning; Representation Learning; Representation Forgetting
2996	Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers Authors: Thiziri Nait Saada; Alireza Naderi; Jared Tanner Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: transformers; attention mechanism; spectral analysis; initialisation; random matrix theory; signal propagation; softmax
2997	Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? Authors: Tom Jacobs; Chao Zhou; Rebekka Burkholz Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Implicit bias; explicit regularization; weight decay; matrix sensing; LoRA; attention; mirror flow; time-dependent Legendre function
2998	On the Role of Label Noise in the Feature Learning Process Authors: Andi Han; Wei Huang; Zhanpeng Zhou; Gang Niu; Wuyang Chen; Junchi Yan; Akiko Takeda; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Label noise; Feature Learning; Training Dynamics
2999	Optimal Task Order for Continual Learning of Multiple Tasks Authors: Ziyan Li; Naoki Hiratani Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Lifelong Learning; Curriculum Learning
3000	Permutation Equivariant Neural Networks for Symmetric Tensors Authors: Edward Pearce-Crump Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Equivariance; deep learning; permutations; symmetric tensors
3001	Propagation of Chaos for Mean-Field Langevin Dynamics and its Application to Model Ensemble Authors: Atsushi Nitanda; Anzelle Lee; Damian Tan Xing Kai; Mizuki Sakaguchi; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: mean-field neural network; mean-field Langevin dynamics; propagation of chaos; finite-particle approximation; defective log-Sobolev inequality
3002	Provable In-Context Vector Arithmetic via Retrieving Task Concepts Authors: Dake Bu; Wei Huang; Andi Han; Atsushi Nitanda; Qingfu Zhang; Hau-San Wong; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Task Vector; Residual Transformer; Factual-recall In-Context Learning
3003	Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Authors: Yihao Xue; Jiping Li; Baharan Mirzasoleiman Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Weak-to-strong Generalization; Theory; Large Language Models; Alignment
3004	Runtime Analysis of Evolutionary NAS for Multiclass Classification Authors: Zeqiong Lv; Chao Qian; Yun Liu; Jiahao Fan; Yanan Sun Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Evolutionary neural architecture search; evolutionary machine learning; evolutionary algorithm
3005	Test-Time Training Provably Improves Transformers as In-context Learners Authors: Halil Alperen Gozeten; Muhammed Emrullah Ildiz; Xuechen Zhang; Mahdi Soltanolkotabi; Marco Mondelli; Samet Oymak Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: in-context learning; transformers; test-time training; gradient descent
3006	Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Authors: Duc Anh Nguyen; Ernesto Araya; Adalbert Fono; Gitta Kutyniok Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: Spiking neural networks; Linear regions; Approximation theory
3007	Towards a Formal Theory of Representational Compositionality Authors: Eric Elmoznino; Thomas Jiralerspong; Yoshua Bengio; Guillaume Lajoie Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: compositionality; complexity; deep learning; representation; generalization
3008	Towards characterizing the value of edge embeddings in Graph Neural Networks Authors: Dhruv Rohatgi; Tanya Marwah; Zachary Chase Lipton; Jianfeng Lu; Ankur Moitra; Andrej Risteski Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: graph neural networks; theory; representational power; communication complexity; memory tradeoffs; edge embeddings
3009	Understanding Nonlinear Implicit Bias via Region Counts in Input Space Authors: Jingwei Li; Jing Xu; Zifan Wang; Huishuai Zhang; Jingzhao Zhang Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: implicit bias; region counts; non-linear neural network; generalization gap
3010	Universal Length Generalization with Turing Programs Authors: Kaiying Hou; David Brandfonbrener; Sham M. Kakade; Samy Jelassi; Eran Malach Affiliation: 官方页面未列出 Official area / track: theory->deep_learning Recognition: Poster/Regular Keywords: length generalization; deep learning
3011	A General Representation-Based Approach to Multi-Source Domain Adaptation Authors: Ignavier Ng; Yan Li; Zijian Li; Yujia Zheng; Guangyi Chen; Kun Zhang Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Domain adaptation; representation learning
3012	COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation Authors: Wenxu Wang; Rui Zhou; Jing Wang; Yun Zhou; Cheng Zhu; Ruichun Tang; Bo Han; Nevin L. Zhang Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Domain adaptation; Open-set; Causality
3013	Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces Authors: Tyler Ingebrand; Adam Thorpe; ufuk topcu Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Transfer Learning; Learned Basis Functions; Function Encoder
3014	Heterogeneous Label Shift: Theory and Algorithm Authors: Chao Xu; Xijia Tang; Chenping Hou Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Open environment; Heterogeneous domain adaptation; Label shift; Generalization theory.
3015	Optimal Transfer Learning for Missing Not-at-Random Matrix Completion Authors: Akhil Jalan; Yassir Jedra; Arya Mazumdar; Soumendu Sundar Mukherjee; Purnamrita Sarkar Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Transfer Learning; Active Learning; Matrix Completion; Missing Not at Random
3016	The Role of Sparsity for Length Generalization in LLMs Authors: Noah Golowich; Samy Jelassi; David Brandfonbrener; Sham M. Kakade; Eran Malach Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Length generalization; Transformers; Positional Encoding
3017	Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport Authors: Jayadev Naram; Fredrik Hellström; Ziming Wang; Rebecka Jörnsten; Giuseppe Durisi Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Partial Domain Adaptation; Optimal Transport; Generalization Bounds
3018	Transfer Learning for Nonparametric Contextual Dynamic Pricing Authors: Fan Wang; Feiyu Jiang; Zifeng Zhao; Yi Yu Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: Dynamic pricing; Transfer learning; Covariate shift; Minimax optimality
3019	Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods Authors: Yifan HAO; Xingyuan Pan; Hanning Zhang; Chenlu Ye; Rui Pan; Tong Zhang Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: model ensemble; fine-tuning; multi-task
3020	When Can Proxies Improve the Sample Complexity of Preference Learning? Authors: Yuchen Zhu; Daniel Augusto de Souza; Zhengyan Shi; Mengyue Yang; Pasquale Minervini; Matt Kusner; Alexander Nicholas D'Amour Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: AI safety; preference learning; RLHF; reward hacking; learning theory; proxy feedback
3021	When can in-context learning generalize out of task distribution? Authors: Chase Goddard; Lindsay M. Smith; Vudtiwat Ngampruetikorn; David J. Schwab Affiliation: 官方页面未列出 Official area / track: theory->domain_adaptation_and_transfer_learning Recognition: Poster/Regular Keywords: In-context learning; Generalization; OOD; out-of-distribution; Machine Learning; ICL
3022	AKORN: Adaptive Knots generated Online for RegressioN splines Authors: Sunil Madhow; Dheeraj Baby; Yu-Xiang Wang Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: nonparametric regression; total variation; adaptive; splines; online learning
3023	Dimensionality Reduction on Complex Vector Spaces for Euclidean Distance with Dynamic Weights Authors: Simone Moretti; Paolo Pellizzoni; Francesco Silvestri Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: dimensionality reduction; Johnson-Lindestrauss; complex space
3024	Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements Authors: Arya Mazumdar; Neha Sangwan Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: sparse linear regression; one bit compressed sensing; sparse recovery
3025	Fully Dynamic Embedding into $\ell_p$ Spaces Authors: Kiarash Banihashem; Xiang Chen; MohammadTaghi Hajiaghayi; Sungchul Kim; Kanak Mahadik; Ryan A. Rossi; Tong Yu Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Dynamic algorithms; Embedding
3026	GaussMark: A Practical Approach for Structural Watermarking of Language Models Authors: Adam Block; Alexander Rakhlin; Ayush Sekhari Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Watermarking; Trustworthy ML; Language Models
3027	How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective Authors: Jing Qiao; Yu Liu; YUAN YUAN; Xiao Zhang; Zhipeng Cai; Dongxiao Yu Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: distributed diffusion models; generation error bound
3028	Identifying Metric Structures of Deep Latent Variable Models Authors: Stas Syrota; Yevgen Zainchkovskyy; Johnny Xi; Benjamin Bloem-Reddy; Søren Hauberg Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Identifiability; LVMs.
3029	Learning With Multi-Group Guarantees For Clusterable Subpopulations Authors: Jessica Dai; Nika Haghtalab; Eric Zhao Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: per-subpopulation guarantees; clustering; fairness; online prediction; multicalibration
3030	On Fine-Grained Distinct Element Estimation Authors: Ilias Diakonikolas; Daniel Kane; Jasper C.H. Lee; Thanasis Pittas; David Woodruff; Samson Zhou Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: distinct elements; distributed model; communication complexity; data streams
3031	Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search Authors: Ziyad Benomar; Lorenzo Croissant; Vianney Perchet; Spyros Angelopoulos Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Learning-augmented algorithms; algorithms with predictions; online algorithms; competitive ratio; one-max search
3032	Phase transitions for the existence of unregularized M-estimators in single index models Authors: Takuya Koriyama; Pierre C Bellec Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: proportional asymptotics; CGMT; conic geometry; convex analysis in Hilbert space
3033	QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Authors: Zhun Deng; Thomas P Zollo; Benjamin Eyre; Amogh Inamdar; David Madras; Richard Zemel Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: prediction-powered inference; L-statistics; auto-evaluation; distortion risk measures; synthetic data
3034	Quantum Speedup for Hypergraph Sparsification Authors: Chenghua Liu; Minbo Gao; Zhengfeng Ji; Mingsheng Ying Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Quantum Algorithms; Hypergraph Sparsification
3035	Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics Authors: Haoming Jing; Yorie Nakahira Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Control System; Stochastic System; Safety
3036	The Price of Linear Time: Error Analysis of Structured Kernel Interpolation Authors: Alexander Moreno; Justin Xiao; Jonathan Mei Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Gaussian processes; kernel methods
3037	The Underlying Universal Statistical Structure of Natural Datasets Authors: Noam Itzhak Levi; Yaron Oz Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Random Matrix Theory; Data Structure; Universality; Gaussian data Empirical Data Estimation; Power Law Scaling
3038	Tree-Sliced Wasserstein Distance: A Geometric Perspective Authors: Hoang V. Tran; Huyen Trang Pham; Tho Tran Huu; Minh-Khoi Nguyen-Nhat; Thanh Chu; Tam Le; Tan Minh Nguyen Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: tree-sliced wasserstein distance; tree wasserstein distance; optimal transport
3039	Understanding the Kronecker Matrix-Vector Complexity of Linear Algebra Authors: Raphael A Meyer; William Joseph Swartworth; David Woodruff Affiliation: 官方页面未列出 Official area / track: theory->everything_else Recognition: Poster/Regular Keywords: Tensors; Kronecker measurements; Sketching; Matrix-Vector; Lower Bound; Query Complexity
3040	A Market for Accuracy: Classification Under Competition Authors: Ohad Einav; Nir Rosenfeld Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: accuracy markets; best-response classifiers; game theory; competition
3041	A-PSRO: A Unified Strategy Learning Method with Advantage Metric for Normal-form Games Authors: Yudong Hu; Haoran Li; Congying Han; Tiande Guo; Bonan Li; Mingqiang Li Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: PSRO; Game Theory; Nash Equilibrium
3042	An Instrumental Value for Data Production and its Application to Data Pricing Authors: Rui Ai; Boxiang Lyu; Zhaoran Wang; Zhuoran Yang; Haifeng Xu Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Instrumental Value; Data Production Process; Data Pricing; Data Customization
3043	Anytime-Constrained Equilibria in Polynomial Time Authors: Jeremy McMahan Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Markov Games; Constrained Equilibria; Computational Complexity Theory; Approximation Algorithms
3044	Best of Both Worlds: Regret Minimization versus Minimax Play Authors: Adrian Müller; Jon Schneider; Stratis Skoulakis; Luca Viano; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: online learning; game theory; regret minimization
3045	Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms? Authors: Yaolong Yu; Fan Yao; Sinno Jialin Pan Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Recommendation system; content creator competition game; group strategy; price of anarchy
3046	Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution Authors: Alex Clinton; Yiding Chen; Jerry Zhu; Kirthevasan Kandasamy Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Mechanism design; collaborative learning; mean estimation
3047	Computing Voting Rules with Improvement Feedback Authors: Evi Micha; Vasilis Varsamis Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Preference Aggregation; Incomplete Preferences; Improvement Feedback; Positional Scoring Rules; Condorcet-Consistent Rules; Computational Social Choice
3048	Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Authors: Yi Feng; Kaito Fujii; Stratis Skoulakis; Xiao Wang; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Min-Max Games; Heavy Ball Momentum; Continuous-Time Analysis
3049	Contract Design Under Approximate Best Responses Authors: Francesco Bacchiocchi; Jiarui Gan; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Principal-Agent; Contract Design; Robustness
3050	Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning Authors: Ian Gemp; Andreas Alexander Haupt; Luke Marris; Siqi Liu; Georgios Piliouras Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Markov Decision Process; Nash Equilibrium; Markov Game; N-player General-Sum; Convex Optimization; Occupancy Measure
3051	Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents Authors: Eric Frankel; Kshitij Kulkarni; Dmitriy Drusvyatskiy; Sewoong Oh; Lillian J. Ratliff Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Stackelberg game; stochastic optimization; learning and games; stochastic tracking
3052	Fraud-Proof Revenue Division on Subscription Platforms Authors: Abheek Ghosh; Tzeh Yuan Neoh; Nicholas Teh; Giannis Tyrovolas Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: fraud-proof; revenue division; subscription platforms; mechanism design
3053	Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources Authors: Renzhe Xu; Kang Wang; Bo Li Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Heterogeneous Data Game; Model Competition; Nash Equilibrium
3054	Learning to Steer Learners in Games Authors: Yizhou Zhang; Yian Ma; Eric Mazumdar Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Learning in games; steering
3055	Maintaining Proportional Committees with Dynamic Candidate Sets Authors: Chris Dong; Jannik Peters Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: computational social choice; multiwinner voting; algorithmic game theory; online algorithms; clustering; committee selection; proportionality
3056	Observation Interference in Partially Observable Assistance Games Authors: Scott Emmons; Caspar Oesterheld; Vincent Conitzer; Stuart Russell Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: assistance games; AI alignment; observation interference; partial observability; partially observable assistance games
3057	Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies Authors: Qi Ju; Thomas Tellier; Meng Sun; Zhemei Fang; YunFeng Luo Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Nash Equilibrium; CFVFP; customized AI; Game
3058	Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Authors: Zichen Wang; Chuanhao Li; Huazheng Wang Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Online information acquisition; multi-armed bandits; principal-agent game
3059	Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design Authors: Vikram Kher; Manolis Zampetakis Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Auction Theory; Mechanism Design; Testing Distributional Assumptions
3060	Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games Authors: Jiawei Ge; Yuanhao Wang; Wenzhe Li; Chi Jin Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Multiplayer symmetric games; Securing Equal Share
3061	Selective Response Strategies for GenAI Authors: Boaz Taitler; Omer Ben-Porat Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: game theory; generative ai
3062	Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma Authors: Quentin Bertrand; Juan Agustin Duque; Emilio Calvano; Gauthier Gidel Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: iterated prisoner's dilemma; cooperation; Q-learning; self-play
3063	Settling the Maximin Share Fairness for Scheduling among Groups of Machines Authors: Bo Li; Fangxiao Wang; Xing Shiji Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Fair division; Maximin share; Job scheduling
3064	Should Decision-Makers Reveal Classifiers in Online Strategic Classification? Authors: Han Shao; Shuo Xie; Kunhe Yang Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: strategic classification; mistake bound; online learning
3065	Solving Zero-Sum Convex Markov Games Authors: Fivos Kalogiannis; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Ian Gemp; Georgios Piliouras Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Markov games; convex RL; regularization; Polyak Lojasiewicz condition; proximal Polyak Lojasiewicz; nonconvex min-max optimization; zero-sum games; gradient do…
3066	The impact of uncertainty on regularized learning in games Authors: Pierre-Louis Cauvin; Davide Legacci; Panayotis Mertikopoulos Affiliation: 官方页面未列出 Official area / track: theory->game_theory Recognition: Poster/Regular Keywords: Follow the regularized leader; uncertainty; Nash equilibrium
3067	A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning Authors: Yingzhen Yang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Concentration Inequality; Sampling Without Replacement; Transductive Local Rademacher Complexity; Transductive Learning
3068	A Theory for Conditional Generative Modeling on Multiple Data Sources Authors: Rongzhen Wang; Yan Zhang; Chenyu Zheng; Chongxuan Li; Guoqiang Wu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: multiple data sources; generative model; distribution estimation; MLE
3069	A Two-Stage Learning-to-Defer Approach for Multi-Task Learning Authors: Yannis Montreuil; Yeo Shu Heng; Axel Carlier; Lai Xing Ng; Wei Tsang Ooi Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Learning to defer; learning from abstention; learning theory; multi task
3070	A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features Authors: Kosuke Sugiyama; Masato Uchida Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: weak features learning; impute-then-regress; complementary features learning; missing value; weak supervised learning
3071	A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation Authors: Jongha Jon Ryu; Abhin Shah; Gregory W. Wornell Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: unnormalized models; exponential family distributions; noise-contrastive estimation; interactive screening; finite-sample analysis
3072	Adversarial Robust Generalization of Graph Neural Networks Authors: Chang Cao; Han Li; Yulong Wang; Rui Wu; Hong Chen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Adversarial Learning; Graph Neural Networks
3073	Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees Authors: Yannis Montreuil; Axel Carlier; Lai Xing Ng; Wei Tsang Ooi Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Learning to defer; learning with abstention; robustness; learning theory
3074	Approximation to Smooth Functions by Low-Rank Swish Networks Authors: Zimeng Li; Hongjun LI; Jingyuan Wang; Ke Tang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Neural Network; Swish Activation Function; Universal Approximation Theory; Network Compression; Low-Rank Compression; Low-Rank Factorization
3075	Batch List-Decodable Linear Regression via Higher Moments Authors: Ilias Diakonikolas; Daniel Kane; Sushrut Karmalkar; Sihan Liu; Thanasis Pittas Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Robust Statistics; Linear Regression; Sum of Square
3076	Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts Authors: Amir Najafi; Samin Mahdizadeh Sani; Farzan Farnia Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Distributionally Robust Optimization; Generalization Bound; Glivenko-Cantelli Theorem and DKW Inequality; $f$-divergence and Wasserstein Adversaries
3077	Design Considerations in Offline Preference-based RL Authors: Alekh Agarwal; Christoph Dann; Teodor Vanislavov Marinov Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; RLHF; DPO
3078	Dimension-Independent Rates for Structured Neural Density Estimation Authors: Robert A. Vandermeulen; Wai Ming Tai; Bryon Aragam Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: density estimation; image processing; Markov random field; graphical model; nonparametric statistics; high-dimensional statistics; sample complexity
3079	Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension Authors: Yijun Dong; Yicheng Li; Yunai Li; Jason D. Lee; Qi Lei Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Weak-to-Strong generalization; Intrinsic dimension; Finetuning
3080	Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal Authors: Deheng Yuan; Tao Guo; Zhongyi Huang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Distributed statistical estimation; nonparametric estimation; communication constraints; distributed algorithms; optimal rate of convergence.
3081	Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Authors: Ilias Diakonikolas; Giannis Iakovidis; Daniel Kane; Thanasis Pittas Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: mean estimation; high-dimensional inference; robust statistics; contamination; computational efficiency
3082	Ehrenfeucht-Haussler Rank and Chain of Thought Authors: Pablo Barcelo; Alexander Kozachinskiy; Tomasz Steifer Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Transformers; chain of thought; decision tree rank; composition of functions
3083	Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence Authors: Yuxin Dong; Haoran Guo; Tieliang Gong; Wen Wen; Chen Li Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Information Theory; Generalization Analysis; Mutual Information; Jensen-Shannon Divergence
3084	Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices Authors: Aro Lee; Ji Oon Lee Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: spiked random matrix; Wigner matrix; largest eigenvalue; PCA; signal detection
3085	Fundamental limits of learning in sequence multi-index models and deep attention networks: high-dimensional asymptotics and sharp thresholds Authors: Emanuele Troiani; Hugo Cui; Yatin Dandi; Florent Krzakala; Lenka Zdeborova Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: theory; multi-index model; approximate message-passing; replica method; statistical physics; attention mechanism
3086	Generalization Analysis for Controllable Learning Authors: Yi-Fan Zhang; Xiao Zhang; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Controllability; Generalization Analysis
3087	Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings Authors: Nong Minh Hieu; Antoine Ledent Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Contrastive Learning; Generalization Analysis
3088	Generalization and Robustness of the Tilted Empirical Risk Authors: Gholamali Aminian; Amir R. Asadi; Tian Li; Ahmad Beirami; Gesine Reinert; Samuel N. Cohen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Tilted Empirical Risk; Generalization error; uniform bound; information theoretical bounds. unbounded loss function; heavy-tailed loss function
3089	Generalization in Federated Learning: A Conditional Mutual Information Framework Authors: Ziqiao Wang; Cheng Long; Yongyi Mao Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Generalization; Federated Learning; Information-theoretic generalization bounds
3090	Generation from Noisy Examples Authors: Ananth Raman; Vinod Raman Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Learning Theory; Language Generation; Generative Machine Learning
3091	Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models Authors: Zhongtian Ma; Qiaosheng Zhang; Bocheng Zhou; Yexin Zhang; Shuyue Hu; Zhen Wang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: graph attention mechanisms; node classification; contextual stochastic block models; over-smoothing; graph convolution; perfect node classification
3092	Grokking at the Edge of Linear Separability Authors: Alon Beck; Noam Itzhak Levi; Yohai Bar-Sinai Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Grokking; Logistic Regression; Interpolation Threshold; Memorization and Learning
3093	How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Authors: Ruiquan Huang; Yingbin Liang; Jing Yang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Transformers; Training dynamics; Implicit bias; language recognition
3094	Hypothesis Testing for Generalized Thurstone Models Authors: Anuran Makur; Japneet Singh Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: generalized Thurstone model; hypothesis testing; minimax risk; cycle decomposition.
3095	Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves Authors: Amer Krivošija; Alexander Munteanu; André Nusser; Chris Schwiegelshohn Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: polygonal curves; dynamic time warping; learning theory; clustering; classification
3096	Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Authors: Vladimir R Kostic; Karim Lounici; Hélène Halconruy; Timothée Devergne; Pietro Novelli; Massimiliano Pontil Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: continuous Markov processes; statistical learning theory; data-driven dynamical systems; spectral decomposition; kernel methods
3097	Learning Configurations for Data-Driven Multi-Objective Optimization Authors: Zhiyang Chen; Hailong Yao; Xia Yin Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Data-driven algorithm design; Algorithm configuration; Sample complexity
3098	Limitations of measure-first protocols in quantum machine learning Authors: Casper Gyurik; Riccardo Molteni; Vedran Dunjko Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Quantum machine learning; Quantum-classical learning separations; Learning theory
3099	Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer Authors: Anqi Mao; Mehryar Mohri; Yutao Zhong Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: learning to defer; consistency; realizable H-consistency; learning theory
3100	Meta Optimality for Demographic Parity Constrained Regression via Post-Processing Authors: Kazuto Fukuchi Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: fairness; minimax optimal; regression; demographic parity
3101	Metastable Dynamics of Chain-of-Thought Reasoning: Provable Benefits of Search, RL and Distillation Authors: Juno Kim; Denny Wu; Jason D. Lee; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: large language model; reasoning; search; distillation; metastability
3102	Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning Authors: Ryotaro Kawata; Kohsei Matsutani; Yuri Kinoshita; Naoki Nishikawa; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Mixture of Experts; feature learning; single-index models
3103	Model Uncertainty Quantification by Conformal Prediction in Continual Learning Authors: Rui Gao; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Uncertainty; continual learning
3104	Models of Heavy-Tailed Mechanistic Universality Authors: Liam Hodgkinson; Zhichao Wang; Michael W. Mahoney Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: heavy tails; random matrix theory; Bayesian learning theory
3105	Nearly Optimal Sample Complexity for Learning with Label Proportions Authors: Robert Istvan Busa-Fekete; Travis Dick; Claudio Gentile; Haim Kaplan; Tomer Koren; Uri Stemmer Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: sample complexity; aggregate labels; empirical risk minimization; stochastic gradient descent; median of means
3106	No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions Authors: Benjamin Samuel Ruben; William Lingxiao Tong; Hamza Tahir Chaudhry; Cengiz Pehlevan Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Ensemble Learning; Regression; Scaling Laws
3107	Nonconvex Theory of $M$-estimators with Decomposable Regularizers Authors: Weiwei Liu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: $M$-estimators; Nonconvex Theory
3108	Nonlinear transformers can perform inference-time feature learning Authors: Naoki Nishikawa; Yujin Song; Kazusato Oko; Denny Wu; Taiji Suzuki Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: transformers; in-context learning; feature learning; single-index models
3109	On the Convergence of Continuous Single-timescale Actor-critic Authors: Xuyang Chen; Lin Zhao Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: single-timescale actor-critic; continuous state-action space; Markovian sampling
3110	On the Generalization Ability of Next-Token-Prediction Pretraining Authors: Zhihao Li; Xue Jiang; Liyuan Liu; Xuelin Zhang; Hong Chen; Feng Zheng Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Next Token Prediction; Decoder Only Models; Generalization Bounds
3111	On the Learnability of Distribution Classes with Adaptive Adversaries Authors: Tosca Lechner; Alex Bie; Gautam Kamath Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: distribution learning; robustness
3112	On the Statistical Mechanisms of Distributional Compositional Generalization Authors: Jingwen Fu; Nanning Zheng Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Compositional Generalization
3113	On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures Authors: Wei Shen; Ruida Zhou; Jing Yang; Cong Shen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: In-context learning; Transformer
3114	PAC Learning with Improvements Authors: Idan Attias; Avrim Blum; Keziah Naggita; Donya Saless; Dravyansh Sharma; Matthew Walter Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: agents improvement; PAC learning; sample complexity; learning from graphs
3115	PDUDT: Provable Decentralized Unlearning under Dynamic Topologies Authors: Jing Qiao; Yu Liu; Zengzhe Chen; Mingyi Li; YUAN YUAN; Xiao Zhang; Dongxiao Yu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Decentralized unlearning
3116	Policy-Regret Minimization in Markov Games with Function Approximation Authors: Thanh Nguyen-Tang; Raman Arora Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: policy regret; Markov games; strategic opponents; function approximation; online learning; reinforcement learning; adversarial learning; Eluder dimension; mult…
3117	Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF Authors: Nuoya Xiong; Aarti Singh Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: multi-objective learning; RLHF theory
3118	Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Authors: Gen Li; Yuchen Jiao Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: score-based generative model; diffusion model; denoising diffusion probabilistic model; guidance
3119	Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces Authors: Amirhossein Roknilamouki; Arnob Ghosh; Ming Shi; Fatemeh Nourzad; Eylem Ekici; Ness Shroff Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Reinforcement Learning; Episodic Linear MDP; Constrained RL; Safe RL; Non-Convex RL; Covering number
3120	Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks Authors: Xianliang Xu; Ye Li; Zhongyi Huang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Deep Ritz Method; Physics-Informed Neural Networks; Fast Rates; Generalization Analysis
3121	Representation Preserving Multiclass Agnostic to Realizable Reduction Authors: Steve Hanneke; Qinglin Meng; Amirreza Shaeiri Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: PAC Learning; Agnostic to Realizable Reduction; Unified PAC Framework; Multiclass Learning; List Learning; Multilabel Learning; Noise Models; Partial Concept C…
3122	Representative Language Generation Authors: Charlotte Peale; Vinod Raman; Omer Reingold Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: generation in the limit; generation; representation; fairness; diversity; language generation
3123	Retraining with Predicted Hard Labels Provably Increases Model Accuracy Authors: Rudrajit Das; Inderjit S Dhillon; Alessandro Epasto; Adel Javanmard; Jieming Mao; Vahab Mirrokni; Sujay Sanghavi; Peilin Zhong Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Retraining; Predicted Labels; Hard Labels; Label Noise; Label DP
3124	Revisiting the Predictability of Performative, Social Events Authors: Juan Carlos Perdomo Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: performative prediction; online learning; multicalibration; outcome indistinguishability
3125	Sample-Optimal Agnostic Boosting with Unlabeled Data Authors: Udaya Ghai; Karan Singh Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: boosting; agnostic learning; weak learning; sample complexity; semi supervised
3126	Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness Authors: Shuang Zeng; Yunwen Lei Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Algorithmic stability; generalization analysis; decentralized SGD
3127	System-Aware Unlearning Algorithms: Use Lesser, Forget Faster Authors: Linda Lu; Ayush Sekhari; Karthik Sridharan Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: machine unlearning; sample compression; selective sampling; learning theory
3128	The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli Authors: Doron Cohen; Aryeh Kontorovich; Roi Weiss Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Maximum Likelihood Estimator; Local Glivenko-Cantelli; Symmetry; Statistical Estimation; Minimax; Machine Learning
3129	The Power of Random Features and the Limits of Distribution-Free Gradient Descent Authors: Ari Karchmer; Eran Malach Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: gradient descent; distribution-free; random features; statistical queries
3130	Tight and Fast Bounds for Multi-Label Learning Authors: Yi-Fan Zhang; Min-Ling Zhang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Multi-Label Learning; Generalization Bound
3131	Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks Authors: Boqi Li; Youjun Wang; Weiwei Liu Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Representation Learning
3132	Transfer Q-Learning with Composite MDP Structures Authors: Jinhang Chai; Elynn Chen; Lin Yang Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Transfer learning; Q learning; UCB Algorithms; Regret analysis; Low-rank plus sparse structure
3133	Understanding Generalization in Quantum Machine Learning with Margins Authors: Tak Hur; Daniel K. Park Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Quantum Machine Learning; Generalization; Margin
3134	Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters Authors: Hongyi Wan; Shiyuan Ren; Wei Huang; Miao Zhang; Xiang Deng; Yixin Bao; Liqiang Nie Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Continual learning; Feature learning theory; Replay method
3135	Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees Authors: Xin Yu; Zelin He; Ying Sun; Lingzhou Xue; Runze Li Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Personalized Federated Learning; Statistical Complexity; Communication Complexity
3136	Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data Authors: Kosuke Sugiyama; Masato Uchida Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: weak features learning; impute-then-regress; missing value; weak supervised learning
3137	Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means Authors: Mikael Møller Høgsgaard; Andrea Paudice Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: Median-of-Means; Uniform Convergence; Heavy-Tailed Distributions
3138	Weak-to-Strong Generalization Even in Random Feature Networks, Provably Authors: Marko Medvedev; Kaifeng Lyu; Dingli Yu; Sanjeev Arora; Zhiyuan Li; Nathan Srebro Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: weak-to-strong; generalization; random features; student-teacher; 2-layer NN; 2-layer networks
3139	When do neural networks learn world models? Authors: Tianren Zhang; Guanyu Chen; Feng Chen Affiliation: 官方页面未列出 Official area / track: theory->learning_theory Recognition: Poster/Regular Keywords: World Models; Representation Learning; Learning Theory; Neural Networks; Machine Learning
3140	A Classification View on Meta Learning Bandits Authors: Mirco Mutti; Jeongyeol Kwon; Shie Mannor; Aviv Tamar Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Meta learning bandits; Multi-armed bandits; Contextual bandits; Regret minimization; Classification complexity
3141	A Parametric Contextual Online Learning Theory of Brokerage Authors: François Bachoc; Tommaso Cesari; Roberto Colomboni Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bilateral trade; regret minimization; contextual online learning; theory
3142	A Trichotomy for List Transductive Online Learning Authors: Steve Hanneke; Amirreza Shaeiri Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Online Learning; Transductive Learning; List Learning
3143	ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning Authors: Arto Maranjyan; El Mehdi Saad; Peter Richtárik; Francesco Orabona Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Multi-Armed Bandit; UCB; adaptive task allocation; asynchronous methods; parallel methods; SGD
3144	Adaptive Sample Sharing for Multi Agent Linear Bandits Authors: Hamza Cherkaoui; Merwan Barlier; Igor Colin Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: linear bandit; collaboration; sample sharing
3145	Avoiding Catastrophe in Online Learning by Asking for Help Authors: Benjamin Plaut; Hanlin Zhu; Stuart Russell Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: online learning; AI safety; asking for help; irreversibility
3146	Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds Authors: Aya Kayal; Sattar Vakili; Laura Toni; Da-shan Shiu; Alberto Bernacchia Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Bayesian optimization; human; preferential; preference-based feedback; kernel methods; regret bounds; dueling bandit; RLHF
3147	Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity Authors: Quan M. Nguyen; Nishant A Mehta; Cristóbal A Guzmán Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: group distributionally robust optimization; two-player zero-sum games; non-oblivious multi-armed bandits; online convex optimization
3148	Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret Authors: Bingshan Hu; ZHIMING HUANG; Tianyue H. Zhang; Mathias Lécuyer; Nidhi Hegde Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandits; Thompson Sampling; privacy
3149	Constrained Online Convex Optimization with Polyak Feasibility Steps Authors: Spencer Hutchinson; Mahnoosh Alizadeh Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: online convex optimization; online learning; constraints
3150	Constrained Pareto Set Identification with Bandit Feedback Authors: Cyrille Kone; Emilie Kaufmann; Laura Richert Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: pure exploration; bandit; theoretical analysis; active learning; Pareto set identification; multi-objective bandits
3151	Contextual Bandits for Unbounded Context Distributions Authors: Puning Zhao; Rongfei Fan; Shaowei Wang; Li Shen; Qixin Zhang; ZongKe; Tianhang Zheng Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Contextual bandits; nonparametric statistics
3152	Contextual Linear Bandits with Delay as Payoff Authors: Mengxiao Zhang; Yingfei Wang; Haipeng Luo Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: online learning; delayed feedback; linear bandits
3153	Contextual Online Decision Making with Infinite-Dimensional Functional Regression Authors: Haichen Hu; Rui Ai; Stephen Bates; David Simchi-Levi Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Infinite-Dimensional Functional Regression; Contextual Decision-Making; Online learning; Bandits
3154	Dimension-Free Adaptive Subgradient Methods with Frequent Directions Authors: Sifan Yang; Yuanyu Wan; Peijia Li; Yibo Wang; Xiao Zhang; Zhewei Wei; Lijun Zhang Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Online Convex Optimization; Frequent Directions; Adaptive Method
3155	Dueling Convex Optimization with General Preferences Authors: Aadirupa Saha; Tomer Koren; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: convex optimization; dueling feedback; comparison feedback; preference learning; transfer function; convergence rate
3156	Exploiting Curvature in Online Convex Optimization with Delayed Feedback Authors: Hao Qiu; Emmanuel Esposito; Mengxiao Zhang Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: online learning; delayed feedback; curved losses
3157	Feasible Action Search for Bandit Linear Programs via Thompson Sampling Authors: Aditya Gangrade; Aldo Pacchiano; Clayton Scott; Venkatesh Saligrama Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Safe Bandits; Linear Bandits; Thompson Sampling
3158	Fixed-Confidence Multiple Change Point Identification under Bandit Feedback Authors: Joseph Lazzaro; Ciara Pike-Burke Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandits; pure exploration; fixed confidence; change points
3159	Fixing the Loose Brake: Exponential-Tailed Stopping Time in Best Arm Identification Authors: Kapilan Balagopalan; Ngo Tuan Nguyen; Yao Zhao; Kwang-Sung Jun Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Multi-Armed Bandits; Pure Exploration; Learning Theory
3160	Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems Authors: Botao Chen; Jongyeong Lee; Junya Honda Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: multi-armed bandit; follow-the-perturbed-leader; best-of-both-worlds; geometric resampling
3161	Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Authors: Jing Wang; Yu-Jie Zhang; Peng Zhao; Zhi-Hua Zhou Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: heavy-tailed linear bandit; huber loss
3162	High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions Authors: Ruiyuan Huang; Zengfeng Huang Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandit; contextual bandit; cross-learning; high probability bounds
3163	Implicit Riemannian Optimism with Applications to Min-Max Problems Authors: Christophe Roux; David Martínez-Rubio; Sebastian Pokutta Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Riemannian Optimization; Optimistic algorithms; Online Optimization; Min-Max optimization
3164	Improved Online Confidence Bounds for Multinomial Logistic Bandits Authors: Joongkyu Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Bandit; Multinomial Logistic Bandit; Confidence Bound; Regret; Online Mirror Descent
3165	Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms Authors: Sho Takemori; Yuhei Umeda; Aditya Gopalan Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: pure exploration; linear bandits; continous arm set
3166	Learning Adversarial MDPs with Stochastic Hard Constraints Authors: Francesco Emanuele Stradi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: CMDP; hard constraints; online learning
3167	Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals Authors: Junyan Liu; Arnab Maiti; Artin Tajdini; Kevin Jamieson; Lillian J. Ratliff Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Principal-agent problem; Incentive design; Regret Minimization; Adversarial; Greedy response; Lipschitz response
3168	Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors Authors: Matei Gabriel Cosa; Marek Elias Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Metrical Task System; Bandits; Learning-Augmented Algorithms
3169	Leveraging Offline Data in Linear Latent Contextual Bandits Authors: Chinmaya Kausik; Kevin Tan; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandits; latent bandits; hybrid RL; online learning with offline datasets; dimensionality reduction; linear bandits
3170	Linear Bandits with Partially Observable Features Authors: Wonyoung Kim; Sungwoo PARK; Garud Iyengar; assaf zeevi; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Linear Bandits; Partially Observable Features; Doubly Robust
3171	Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits Authors: Su Jia; Peter I. Frazier; Nathan Kallus Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: interference; adversarial bandits; high-probability regret bound
3172	Near Optimal Non-asymptotic Sample Complexity of 1-Identification Authors: ZITIAN LI; Wang Chi Cheung Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: 1-identification; Bandits; Complexity
3173	Near-Optimal Consistency-Robustness Trade-Offs for Learning-Augmented Online Knapsack Problems Authors: Mohammadreza Daneshvaramoli; Helia Karisani; Adam Lechowicz; Bo Sun; Cameron N Musco; Mohammad Hajiesmaili Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Learning Augmented; Succinct Predictions
3174	Nearly Optimal Algorithms for Contextual Dueling Bandits from Adversarial Feedback Authors: Qiwei Di; Jiafan He; Quanquan Gu Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Dueling Bandits; Adversarial feedback; optimal; uncertainty-weighted maximum likelihood estimation.
3175	No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization Authors: Martino Bernasconi; Matteo Castiglioni; Andrea Celli Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandits with knapsacks; long-term constraints; adaptive regret
3176	Offline Learning for Combinatorial Multi-armed Bandits Authors: Xutong Liu; Xiangxiang Dai; Jinhang Zuo; Siwei Wang; Carlee Joe-Wong; John C.S. Lui; Wei Chen Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Multi-armed bandit; combinatorial multi-armed bandit; offline learning; data coverage
3177	On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback Authors: Matthew Faw; Constantine Caramanis; Jessica Hoffmann Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Fairness; Bandits; Lower Bounds; Affinity Bias; Biased Feedback
3178	Online Episodic Convex Reinforcement Learning Authors: Bianca Marin Moreno; Khaled Eldowa; Pierre Gaillard; Margaux Brégère; Nadia Oudjane Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Online learning; convex reinforcement learning; markov decision processes; bandits
3179	Online Learning in the Random-Order Model Authors: Martino Bernasconi; Andrea Celli; Riccardo Colini Baldeschi; Federico Fusco; Stefano Leonardi; Matteo Russo Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: random order; online learning; online classifications
3180	Online Learning with Unknown Constraints Authors: Karthik Sridharan; Seung Won Wilson Yoo Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Online Learning; Safe Learning
3181	Online Linear Classification with Massart Noise Authors: Ilias Diakonikolas; Vasilis Kontonis; Christos Tzamos; Nikos Zarifis Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Online Learning; Massart noise
3182	Optimal Algorithm for Max-Min Fair Bandit Authors: Zilong Wang; Zhiyao Zhang; Shuai Li Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: multi-player multi-armed bandit; max-min fairness
3183	Optimal and Practical Batched Linear Bandit Algorithm Authors: Sanghoon Yu; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: linear bandit; batched bandit; exploration-exploitation
3184	Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints Authors: Francesco Emanuele Stradi; Anna Lunghi; Matteo Castiglioni; Alberto Marchesi; Nicola Gatti Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: CMDPs; Online Learning
3185	Prediction-Aware Learning in Multi-Agent Systems Authors: Aymeric Capitaine; Etienne Boursier; Eric Moulines; Michael I. Jordan; Alain Oliviero Durmus Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Learning in Games; Multi-agent systems; Online Learning; Equilibrium; Social Welfare; Time-varying games
3186	Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents Authors: Junyan Liu; Lillian J. Ratliff Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Bandits; Principal-agent problem; Incentive design; Regret minimization
3187	Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity Authors: Tao Jin; Yue Wu; Quanquan Gu; Farzad Farnoud Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: active ranking; stochastic transitivity; rank aggregation; dueling bandits; lower bound; upper bound
3188	Regret-Free Reinforcement Learning for Temporal Logic Specifications Authors: R Majumdar; Mahmoud Salamati; Sadegh Soudjani Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Markov decision process; regret-free algorithm; reinforcement learning; temporal logic tasks; formal specifications
3189	Revisiting Differentially Private Algorithms for Decentralized Online Learning Authors: Xiaoyu Wang; Wenhao Yang; Chang Yao; Mingli Song; Yuanyu Wan Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Decentralized Online Learning; Differential Privacy
3190	The Batch Complexity of Bandit Pure Exploration Authors: Adrienne Tuynman; Rémy Degenne Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: bandits; batched learning; pure exploration
3191	Tokenized Bandit for LLM Decoding and Alignment Authors: Suho Shin; Chenghao Yang; Haifeng Xu; MohammadTaghi Hajiaghayi Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Contextual Bandit; Multi-armed Bandit; Large Language Model; LLM Alignment; Decoding-time Alignment; Decoding Algorithm
3192	Tracking Most Significant Shifts in Infinite-Armed Bandits Authors: Joe Suk; Jung-hun Kim Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: non-stationary; infinite-armed bandits; bandits; adaptive; parameter-free
3193	Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective Authors: Junze Deng; Qinhang Wu; Peizhong Ju; Sen Lin; Yingbin Liang; Ness Shroff Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Continual Learning; rehearsal-based methods; catastrophic forgetting
3194	Zero-Inflated Bandits Authors: Haoyu Wei; Runzhe Wan; Lei Shi; Rui Song Affiliation: 官方页面未列出 Official area / track: theory->online_learning_and_bandits Recognition: Poster/Regular Keywords: Bandits; Zero-Inflated; Exploration
3195	$\mathcal{V}ista\mathcal{DPO}$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models Authors: Haojian Huang; Haodong Chen; Shengqiong Wu; Meng Luo; Jinlan Fu; Xinya Du; Hanwang Zhang; Hao Fei Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Direct Preference Optimization; Large Video Models
3196	A Near Linear Query Lower Bound for Submodular Maximization Authors: Binghui Peng; Aviad Rubinstein Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Submodular maximization; sublinear algorithm
3197	A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization Authors: Kunjie Ren; Luo Luo Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: zeroth-order optimization; stochastic convex optimization; parameter-free optimization
3198	Competitively Consistent Clustering Authors: Niv Buchbinder; Roie Levin; Yue Yang Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Online Algorithms; Recourse; Clustering; k-center; Facility Location; k-median
3199	Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization Authors: Yuki Takezawa; Xiaowen Jiang; Anton Rodomanov; Sebastian U Stich Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: decentralized optimization; distributed optimization
3200	Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching Authors: Amit Attia; Ofir Gaash; Tomer Koren Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Asynchronous; delay; stochastic; optimization; arbitrary; mini-batching; batching
3201	Generalization of noisy SGD in unbounded non-convex settings Authors: Leello Tadesse Dadi; Volkan Cevher Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Information theoretic generalization; Langevin; SGD; differential privacy
3202	Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs Authors: Hancheng Min; Rene Vidal Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Orthonormal Gaussian Mixture; Robust classifier; Two-layer Network; Gradient Flow
3203	Graph-Based Algorithms for Diverse Similarity Search Authors: Piyush Anand; Piotr Indyk; Ravishankar Krishnaswamy; Sepideh Mahabadi; Vikas C. Raykar; Kirankumar Shiragur; Haike Xu Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: nearest neighbor search; diversity; algorithms
3204	Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems Authors: Yujun Kim; Jaeyoung Cha; Chulhee Yun Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Permutation-based SGD; Incremental Gradient Descent; Lower Bound; Convex Optimization
3205	Learning Minimum-Size BDDs: Towards Efficient Exact Algorithms Authors: Christian Komusiewicz; Andre Schidler; Frank Sommer; Manuel Sorge; Luca Pascal Staus Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: parameterized complexity; NP-hard problem; binary decision diagrams; classification; combinatorial optimization
3206	Learning Mixtures of Experts with EM: A Mirror Descent Perspective Authors: Quentin Fruytier; Aryan Mokhtari; Sujay Sanghavi Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Expectation Maximization (EM); Mixtures of Experts (MoE); Mirror Descent
3207	Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection Authors: Gengshuo Chang; Wei Zhang; Lehan Zhang Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: matrix completion; side information; PAC learning theory; orthogonal complement projection
3208	Maximum Coverage in Turnstile Streams with Applications to Fingerprinting Measures Authors: Alina Ene; Alessandro Epasto; Vahab Mirrokni; Hoai-An Nguyen; Huy Nguyen; David Woodruff; Peilin Zhong Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: maximum coverage; linear sketches; turnstile streams; algorithms
3209	On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning Authors: Thomas TCK Zhang; Behrad Moniri; Ansh Nagwekar; Faraz Rahman; Anton Xue; Hamed Hassani; Nikolai Matni Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: feature learning; representation learning; preconditioning; single-index models; two-layer networks; non-convex optimization; matrix sensing; quasi-newton meth…
3210	Optimal Decision Tree Pruning Revisited: Algorithms and Complexity Authors: Juha Harviainen; Frank Sommer; Manuel Sorge; Stefan Szeider Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: parameterized complexity; NP-hard problems; efficient algorithms; dynamic programming; subtree replacement; subtree raising
3211	Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems Authors: Evripidis Bampis; Bruno Escoffier; Dimitris Fotakis; Panagiotis Patsilinakos; Michalis Xefteris Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Learning-augmented algorithms; NP-hard permutation problems; predictions
3212	Radio: Rate–Distortion Optimization for Large Language Model Compression Authors: Sean I. Young Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: rate–distortion theory; optimization; compression; quantization
3213	Robust Sparsification via Sensitivity Authors: Chansophea Wathanak In; Yi Li; David Woodruff; Xuan Wu Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Coreset; Robust Machine Learning; Subspace Embedding; Clustering
3214	When to Forget? Complexity Trade-offs in Machine Unlearning Authors: Martin Van Waerebeke; Marco Lorenzi; Giovanni Neglia; Kevin Scaman Affiliation: 官方页面未列出 Official area / track: theory->optimization Recognition: Poster/Regular Keywords: Machine Unlearning; Optimization; Differential Privacy; Theory
3215	Average Sensitivity of Hierarchical $k$-Median Clustering Authors: Shijie Li; Weiqiang He; Ruobing Bai; Pan Peng Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Hierarchical Clustering; Average Sensitivity; $k$-Median
3216	Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation Authors: Hengyuan Hu; Aniket Das; Dorsa Sadigh; Nima Anari Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: DDPM; Stochastic Localization; speculative decoding
3217	Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors Authors: Emile Pierret; Bruno Galerne Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Convergence of diffusion models; Gaussian processes; Wasserstein distance; stochastic differential equations; discretization schemes
3218	Distributed Conformal Prediction via Message Passing Authors: Haifeng Wen; Hong Xing; Osvaldo Simeone Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Conformal prediction; Distributed optimization
3219	Efficient Diffusion Models for Symmetric Manifolds Authors: Oren Mangoubi; Neil He; Nisheeth K. Vishnoi Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Diffusion Models; Symmetric Manifolds; Random Matrix Theory; Score-Based Generative Models; Efficient Sampling
3220	Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs Authors: Andrey Kofnov; Daniel Kapla; Ezio Bartocci; Efstathia Bura Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Neural Networks; Uncertainty Propagation; Predictive Output Distribution; Guaranteed Bounds
3221	Learning multivariate Gaussians 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->probabilistic_methods Recognition: Poster/Regular Keywords: learning-augmented algorithms; multivariate gaussian learning; sample complexity
3222	Low-Rank Thinning Authors: Annabelle Michael Carrell; Albert Gong; Abhishek Shetty; Raaz Dwivedi; Lester Mackey Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: sub-gaussian; thinning; distribution compression; kernel maximum mean discrepancy; low-rank; fast attention; sgd reordering; deep hypothesis testing
3223	PAC-Bayes Analysis for Recalibration in Classification Authors: Masahiro Fujisawa; Futoshi Futami Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: Calibration; ECE; expected calibration error; PAC-Bayes
3224	Rectifying Conformity Scores for Better Conditional Coverage Authors: Vincent Plassier; Alexander Fishkov; Victor Dheur; Mohsen Guizani; Souhaib Ben Taieb; Maxim Panov; Eric Moulines Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: conformal prediction; uncertainty quantification; confidence sets
3225	The Limits of Tractable Marginalization Authors: Oliver Broadrick; Sanyam Agarwal; Guy Van den Broeck; Markus Bläser Affiliation: 官方页面未列出 Official area / track: theory->probabilistic_methods Recognition: Poster/Regular Keywords: probabilistic inference; tractable models; expressive-efficiency
3226	A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs Authors: Kihyuk Hong; Ambuj Tewari Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: reinforcement learning theory; infinite-horizon average-reward RL; linear MDP
3227	A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents Authors: Kaiwen Wang; Dawen Liang; Nathan Kallus; Wen Sun Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Risk-Sensitive RL; Reduction to RL; OCE; CVaR; Variance
3228	A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach Authors: Swetha Ganesh; Washim Uddin Mondal; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Actor-Critic; Multi-level Monte Carlo; Natural Policy Gradient; General Policy Parametrization
3229	A Theoretical Justification for Asymmetric Actor-Critic Algorithms Authors: Gaspard Lambrechts; Damien Ernst; Aditya Mahajan Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Partially Observable Environment; Asymmetric Learning; Privileged Information; Privileged Critic; Convergence Analysis; Asymmetric Actor-Critic; Finite-Time Bo…
3230	Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach Authors: Yang Xu; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Quantum Machine Learning; Reinforcement Learning
3231	Actor-Critics Can Achieve Optimal Sample Efficiency Authors: Kevin Tan; Wei Fan; Yuting Wei Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: actor-critic; policy gradient; strategic exploration; optimism; reinforcement learning; sample efficiency
3232	Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation Authors: Taehyun Cho; Seungyub Han; Seokhun Ju; Dohyeong Kim; Kyungjae Lee; Jungwoo Lee Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Distributional RL; Regret Minimization
3233	Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective Authors: Jiawei Huang; Bingcong Li; Christoph Dann; Niao He Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning from Human Feedback; Reward transfer; sample-efficient reinforcement learning
3234	Combinatorial Reinforcement Learning with Preference Feedback Authors: Joongkyu Lee; Min-hwan Oh Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Preference Feedback; Multinomial Logistic Model; Function Approximation; Combinatorial Action
3235	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation Authors: Uri Sherman; Tomer Koren; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning Theory; Function Approximation; Optimization
3236	Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation Authors: Hongyi Zhou; Josiah P. Hanna; Jin Zhu; Ying Yang; Chengchun Shi Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Off-policy Evaluation
3237	Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective Authors: Zeyu Jia; Alexander Rakhlin; Tengyang Xie Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning Theory; Process Supervision; Outcome Supervision; Reward Modeling; Markov Decision Process
3238	General agents need world models Authors: Jonathan Richens; Tom Everitt; David Abel Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Agents; world models; reinforcement learning; goal-conditioned reinforcement learning; causality; generalization
3239	Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games Authors: Tong Yang; Bo Dai; Lin Xiao; Yuejie Chi Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: MARL theory
3240	Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment Authors: Audrey Huang; Adam Block; Qinghua Liu; Nan Jiang; Akshay Krishnamurthy; Dylan J Foster Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: inference time alignment; best of n; pessimism; reinforcement learning theory; offline reinforcement learning
3241	Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set Authors: Xinyu Liu; Zixuan Xie; Shangtong Zhang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: linear $Q$ learning; convergence rate; reinforcement learning; the deadly triad
3242	Logarithmic Regret for Online KL-Regularized Reinforcement Learning Authors: Heyang Zhao; Chenlu Ye; Wei Xiong; Quanquan Gu; Tong Zhang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement learning; regularization
3243	Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback Authors: Zihan Zhang; Yuxin Chen; Jason D. Lee; Simon Shaolei Du; Ruosong Wang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: reinforcement learning; online learning; trajectory feedback
3244	Multi-objective Linear Reinforcement Learning with Lexicographic Rewards Authors: Bo Xue; Dake Bu; Ji Cheng; Yuanyu Wan; Qingfu Zhang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement learning; multi-objective; linear model
3245	Multiple-policy Evaluation via Density Estimation Authors: Yilei Chen; Aldo Pacchiano; Ioannis Paschalidis Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Theoretical Reinforcement Learning; Policy Evaluation; Instance dependent results
3246	Near-Optimal Sample Complexity for MDPs via Anchoring Authors: Jongmin Lee; Mario Bravo; Roberto Cominetti Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Average-reward MDP; Generative model; Sample complexity analysis; Value iteration; Halpern iteration; Variance reduction sampling; Reinforcement learning theory
3247	Near-optimal Regret Using Policy Optimization in Online MDPs with Aggregate Bandit Feedback Authors: Tal Lancewicki; Yishay Mansour Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Online MDPs; Policy Optimization; Aggregate Bandit Feedback; Full-bandit feedback; Reinforcement Learning; Regret Minimization; Adversarial MDPs
3248	Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization Authors: Chenbei Lu; Laixi Shi; Zaiwei Chen; Chenye Wu; Adam Wierman Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: reinforcement learning; sample complexity; q-learning; approximate factorization
3249	Partially Observable Reinforcement Learning with Memory Traces Authors: Onno Eberhard; Michael Muehlebach; Claire Vernade Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement learning theory; Partial observability; Memory
3250	Polynomial-Time Approximability of Constrained Reinforcement Learning Authors: Jeremy McMahan Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Constrained Reinforcement Learning; Computational Complexity; Approximation Algorithms
3251	Provable Zero-Shot Generalization in Offline Reinforcement Learning Authors: Zhiyong Wang; Chen Yang; John C.S. Lui; Dongruo Zhou Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: offline reinforcement learning; generalization
3252	Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes Authors: Bhargav Ganguly; Yang Xu; Vaneet Aggarwal Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Quantum Machine Learning; Reinforcement Learning
3253	Reinforcement Learning with Random Time Horizons Authors: Enric Ribera Borrell; Lorenz Richter; Christof Schuette Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: reinforcement learning; policy gradient theorem; random stopping times; optimal control
3254	Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment Authors: Xingyu Zhou; Yulian Wu; Wenqian Weng; Francesco Orabona Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Offline alignment; general function approximations; differential privacy; robustness; single-policy concentrability
3255	The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability Authors: Jiachen Hu; Rui Ai; Han Zhong; Xiaoyu Chen; Liwei Wang; Zhaoran Wang; Zhuoran Yang Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Strategic exploration; information asymmetry; knowledge transportability
3256	Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback Authors: Simone Drago; Marco Mussi; Alberto Maria Metelli Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: preference-based; sequential decision making; preference feedback
3257	Universal Approximation Theorem of Deep Q-Networks Authors: Qian Qi Affiliation: 官方页面未列出 Official area / track: theory->reinforcement_learning_and_planning Recognition: Poster/Regular Keywords: Reinforcement Learning; Deep Q-Networks; Q-function Approximation; Universal Approximation Theorem; Function Approximation; Neural Networks; Markov Decision Pr…