ICML 2025

3,330 papers

LAST SToP for Modeling Asynchronous Time Series

Shubham Gupta, Thibaut Durand, Graham W. Taylor, Lilian Bialokozowicz

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan

Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints

Hengquan Guo, Lingkai Zu, Xin Liu

TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion

Jiujiang Guo, Mankun Zhao, Wenbin Zhang, Tianyi Xu, Linying Xu

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks

Yufei Guo, Yuhan Zhang, Zhou Jie, Xiaode Liu, Xin Tong

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

Qin Guo, Ailing Zeng, Dongxu Yue, Ceyuan Yang, Yang Cao

RBench: Graduate-level Multi-disciplinary Benchmarks for LLM & MLLM Complex Reasoning Evaluation

Meng-Hao Guo, Jiajun Xu, Yi Zhang, Jiaxi Song, Haoyang Peng

Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models

Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems

Jiachen Guo, Xiaoyu Xie, Chanwook Park, Hantao Zhang, Matthew J. Politis

SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services

Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang

RepoAudit: An Autonomous LLM-Agent for Repository-Level Code Auditing

Jinyao Guo, Chengpeng Wang, Xiangzhe Xu, Zian Su, Xiangyu Zhang

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration

Kaiyu Guo, Zijian Wang, Tan Pan, Brian C. Lovell, Mahsa Baktashmotlagh

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering

Xuehang Guo, Xingyao Wang, Yangyi Chen, Sha Li, Chi Han

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

Phillip Huang Guo, Aaquib Syed, Abhay Sheshadri, Aidan Ewart, Gintare Karolina Dziugaite

Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images

Zhengrui Guo, Qichen Sun, Jiabo Ma, Lishuang Feng, Jinzhuo Wang

Variational Rectified Flow Matching

Pengsheng Guo, Alex Schwing

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis

Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong

On the Diversity of Adversarial Ensemble Learning

Jun-Qi Guo, Meng-Zhang Qian, Wei Gao, Zhi-Hua Zhou

IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models

Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li

Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data

Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu

Towards Lifelong Model Editing via Simulating Ideal Editor

Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun

Boosting Protein Graph Representations through Static-Dynamic Fusion

Pengkang Guo, Bruno Correia, Pierre Vandergheynst, Daniel Probst

SlimLLM: Accurate Structured Pruning for Large Language Models

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang

Active feature acquisition via explainability-driven ranking

Osman Berke Guney, Ketan Suhaas Saichandran, Karim Elzokm, Ziming Zhang, Vijaya B Kolachalama

Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs

Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen

Discovering Physics Laws of Dynamical Systems via Invariant Function Learning

Shurui Gui, Xiner Li, Shuiwang Ji

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data

Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan

QMamba: On First Exploration of Vision Mamba for Image Quality Assessment

Fengbin Guan, Xin Li, Zihao Yu, Yiting Lu, Zhibo Chen

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety

Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures

Peimeng Guan, Mark A. Davenport

Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss

Yuchen Guan, Runxi Cheng, Kang Liu, Chun Yuan

Binary Hypothesis Testing for Softmax Models and Leverage Score Models

Yuzhou Gu, Zhao Song, Junze Yin

Delta Decompression for MoE-based LLMs Compression

Hao Gu, Wei Li, Lujun Li, Zhu Qiyuan, Mark G. Lee

Auditing Prompt Caching in Language Model APIs

Chenchen Gu, Xiang Lisa Li, Rohith Kuditipudi, Percy Liang, Tatsunori Hashimoto

VerbalTS: Generating Time Series from Texts

Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

Karish Grover, Geoffrey J. Gordon, Christos Faloutsos

Is Complex Query Answering Really Complex?

Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini

Point-Level Topological Representation Learning on Point Clouds

Vincent Peter Grande, Michael T Schaub

The Importance of Being Lazy: Scaling Limits of Continual Learning

Jacopo Graldi, Alessandro Breccia, Giulia Lanzillotta, Thomas Hofmann, Lorenzo Noci

Clustering Items through Bandit Feedback: Finding the Right Feature out of Many

Maximilian Graf, Thuot Victor, Nicolas Verzelen

Test-Time Training Provably Improves Transformers as In-context Learners

Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli

Masked Generative Nested Transformers with Decode Time Scaling

Sahil Goyal, Debapriya Tula, Gagan Jain, Pradeep Shenoy, Prateek Jain

Efficient Time Series Processing for Transformers and State-Space Models through Token Merging

Leon Götz, Marcel Kollovieh, Stephan Günnemann, Leo Schwinn

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation

Aditya Gorla, Ryan Wang, Zhengtong Liu, Ulzee An, Sriram Sankararaman

Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time

Gramoz Goranci, Peter Kiss, Neel Patel, Martin P. Seybold, Eva Szilagyi

Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training

Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen

Calibrated Physics-Informed Uncertainty Quantification

Vignesh Gopakumar, Ander Gray, Lorenzo Zanisi, Timothy Nunn, Daniel Giles

Fast Inference with Kronecker-Sparse Matrices

Antoine Gonon, Léon Zheng, Pascal Carrivain, Tung Quoc Le

A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations

Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Remi Gribonval

Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning

Xudong Gong, Sen Yang, Feng Dawei, Kele Xu, Bo Ding

Human Body Restoration with One-Step Diffusion Model and A New Benchmark

Jue Gong, Jingkai Wang, Zheng Chen, Xing Liu, Hong Gu

Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models

Zheng Gong, Ying Sun

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation

Albert Gong, Kamile Stankeviciute, Chao Wan, Anmol Kabra, Raphael Thesmar

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization

ZIYU GONG, Jim Lim, David I. Inouye

Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models

Shizhan Gong, Yankai Jiang, Qi Dou, Farzan Farnia

Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes

Zhuocheng Gong, Jian Guan, Wei Wu, Huishuai Zhang, Dongyan Zhao

AdaSplash: Adaptive Sparse Flash Attention

Nuno Gonçalves, Marcos V Treviso, Andre Martins

Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions

Negin Golrezaei, Sourav Sahoo

The Role of Sparsity for Length Generalization in LLMs

Noah Golowich, Samy Jelassi, David Brandfonbrener, Sham M. Kakade, Eran Malach

Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs

Siddharth Gollapudi, Ravishankar Krishnaswamy, Kirankumar Shiragur, Harsh Wardhan

Detecting Strategic Deception with Linear Probes

Nicholas Goldowsky-Dill, Bilal Chughtai, Stefan Heimersheim, Marius Hobbhahn

EcoMapper: Generative Modeling for Climate-Aware Satellite Imagery

Muhammed Goktepe, Amir Hossein Shamseddin, Erencan Uysal, Javier Muinelo Monteagudo, Lukas Drees

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream

Abdülkadir Gökce, Martin Schrimpf

SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy

Yong Liang Goh, Zhiguang Cao, Yining Ma, Jianan Zhou, Mohammed Haroon Dupty

Great Models Think Alike and this Undermines AI Oversight

Shashwat Goel, Joschka Strüber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

Harsh Goel, Mohammad Omama, Behdad Chalaki, Vaishnav Tadiparthi, Ehsan Moradi Pari

When can in-context learning generalize out of task distribution?

Chase Goddard, Lindsay M. Smith, Vudtiwat Ngampruetikorn, David J. Schwab

Discovering Spoofing Attempts on Language Model Watermarks

Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev

Score Matching with Missing Data

Josh Givens, Song Liu, Henry Reeve

Optimizing Noise Distributions for Differential Privacy

Atefeh Gilani, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut

EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping

Sam Gijsen, Kerstin Ritter

Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery

Paris Giampouras, HanQin Cai, René Vidal

Improved and Oracle-Efficient Online ℓ_1-Multicalibration

Rohan Ghuge, Vidya Muthukumar, Sahil Singla

Fraud-Proof Revenue Division on Subscription Platforms

Abheek Ghosh, Tzeh Yuan Neoh, Nicholas Teh, Giannis Tyrovolas

Online Learning in Risk Sensitive constrained MDP

Arnob Ghosh, Mehrdad Moharrami

Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities

Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S Sakshi, Jaehyeon Kim

Learning Condensed Graph via Differentiable Atom Mapping for Reaction Yield Prediction

Ankit Ghosh, Gargee Kashyap, Sarthak Mittal, Nupur Jain, Raghavan B Sunoj

Memorization Sinks: Isolating Memorization during LLM Training

Gaurav Rohit Ghosal, Pratyush Maini, Aditi Raghunathan

QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring

Nikhil Pratap Ghanathe, Steven J E Wilton

Sample-Optimal Agnostic Boosting with Unlabeled Data

Udaya Ghai, Karan Singh

Fast Tensor Completion via Approximate Richardson Iteration

Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie

Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs

Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant J. Nair, Poulami Das

Universal Neural Optimal Transport

Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, Vaios Laschos

Time Series Representations with Hard-Coded Invariances

Thibaut Germain, Chrysoula Kosma, Laurent Oudre

Hybrid Quantum-Classical Multi-Agent Pathfinding

Thore Gerlach, Loong Kuan Lee, Frederic Barbaresco, Nico Piatkowski

Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning

Ian Gemp, Andreas Alexander Haupt, Luke Marris, Siqi Liu, Georgios Piliouras

Synthetic Face Datasets Generation via Latent Space Exploration from Brownian Identity Diffusion

David Geissbühler, Hatef Otroshi Shahreza, Sébastien Marcel

REINFORCE Adversarial Attacks on Large Language Models: An Adaptive, Distributional, and Semantic Objective

Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Vincent Cohen-Addad, Johannes Gasteiger

Towards flexible perception with visual memory

Robert Geirhos, Priyank Jaini, Austin Stone, Sourabh Medapati, Xi Yi

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning

Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan

Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games

Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks

Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang

Stochastic Online Conformal Prediction with Semi-Bandit Feedback

Haosen Ge, Hamsa Bastani, Osbert Bastani

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces

Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier

Statistical Collusion by Collectives on Learning Platforms

Etienne Gauthier, Francis Bach, Michael I. Jordan

Unified Breakdown Analysis for Byzantine Robust Gossip

Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx