ICML 2025

3,330 papers

Improving the Statistical Efficiency of Cross-Conformal Prediction

Matteo Gasparin, Aaditya Ramdas

How Transformers Learn Structured Data: Insights From Hierarchical Filtering

Jerome Garnier-Brun, Marc Mezard, Emanuele Moscato, Luca Saglietti

Persistent Topological Features in Large Language Models

Yuri Gardinazzi, Karthik Viswanathan, Giada Panerai, Alessio Ansuini, Alberto Cazzaniga

Robust ML Auditing using Prior Knowledge

Jade Garcia Bourrée, Augustin Godinot, Sayan Biswas, Anne-marie Kermarrec, Erwan Le Merrer

Extreme Value Policy Optimization for Safe Reinforcement Learning

Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing

AdaWorld: Learning Adaptable World Models with Latent Actions

Shenyuan Gao, Siyuan Zhou, Yilun Du, Jun Zhang, Chuang Gan

REG: Rectified Gradient Guidance for Conditional Diffusion Models

Zhengqi Gao, Kaiwen Zha, Tianyuan Zhang, Zihui Xue, Duane S Boning

Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials

Chenyin Gao, Shu Yang, Mingyang Shan, Wenyu Ye, Ilya Lipkovich

OneForecast: A Universal Framework for Global and Regional Weather Forecasting

Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning

Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu

Metadata Conditioning Accelerates Language Model Pre-training

Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi

LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification

Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng

NExtLong: Toward Effective Long-Context Training without Long Documents

Chaochen Gao, Xing W, Zijia Lin, Debing Zhang, Songlin Hu

Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing

Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao

Neural Solver Selection for Combinatorial Optimization

Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian

Volume Optimality in Conformal Prediction with Structured Prediction Sets

Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan

EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers

Daiheng Gao, Shilin Lu, Wenbo Zhou, Jiaming Chu, Jie Zhang

Model Uncertainty Quantification by Conformal Prediction in Continual Learning

RUI GAO, Weiwei Liu

MARGE: Improving Math Reasoning with Guided Exploration

Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin

Complete-Tree Space Favors Data-Efficient Link Prediction

Chi Gao, Lukai Li, Yancheng Zhou, Shangqi Guo

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples

Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao

Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures

Jie Gao, Rajesh Jayaram, Benedikt Kolbe, Shay Sapir, Chris Schwiegelshohn

Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization

Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng

Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach

Chenyin Gao, Peter B. Gilbert, Larry Han

Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration

Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang

AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling

Jian Gao, Weidong Cao, Xuan Zhang

Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes

Bhargav Ganguly, Yang Xu, Vaneet Aggarwal

Feasible Action Search for Bandit Linear Programs via Thompson Sampling

Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama

A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach

Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal

It’s My Data Too: Private ML for Datasets with Multi-User Training Examples

Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning

Zeyu Gan, Yun Liao, Yong Liu

Sanity Checking Causal Representation Learning on a Simple Real-World System

Juan L. Gamella, Simon Bing, Jakob Runge

More Than Meets the Eye: Enhancing Multi-Object Tracking Even with Prolonged Occlusions

Bishoy Galoaa, Somaieh Amraee, Sarah Ostadabbas

Parameter-Efficient Fine-Tuning of State Space Models

Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee

Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead

Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald

Generalized additive models via direct optimization of regularized decision stump forests

Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán

Meta Optimality for Demographic Parity Constrained Regression via Post-Processing

Kazuto Fukuchi

PAC-Bayes Analysis for Recalibration in Classification

Masahiro Fujisawa, Futoshi Futami

Gradient Boosting Reinforcement Learning

Benjamin Fuhrer, Chen Tessler, Gal Dalal

Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory

Dominik Fuchsgruber, Tom Wollschläger, Johannes Bordne, Stephan Günnemann

On the Statistical Mechanisms of Distributional Compositional Generalization

Jingwen Fu, Nanning Zheng

PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals

Xinghe Fu, Zhiyuan Yan, Zheng Yang, Taiping Yao, Yandan Zhao

Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Xiang Fu, Brandon M Wood, Luis Barroso-Luque, Daniel S. Levine, Meng Gao

CHATS: Combining Human-Aligned Optimization and Test-Time Sampling for Text-to-Image Generation

Minghao Fu, Guo-Hua Wang, Liangfu Cao, Qing-Guo Chen, Zhao Xu

Knowledge Retention in Continual Model-Based Reinforcement Learning

Haotian Fu, Yixiang Sun, Michael Littman, George Konidaris

PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data

Tingchen Fu, Mrinank Sharma, Philip Torr, Shay B Cohen, David Krueger

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding

Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Richard Corring, Yijuan Lu

Fast Large Language Model Collaborative Decoding via Speculation

Jiale Fu, Yuchu Jiang, Junkai Chen, Jiaming Fan, Xin Geng

EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph

Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao

Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective

Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan

Learning Mixtures of Experts with EM: A Mirror Descent Perspective

Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi

Prompt-to-Leaderboard: Prompt-Adaptive LLM Evaluations

Evan Frick, Connor Chen, Joseph Tennyson, Tianle Li, Wei-Lin Chiang

Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspective

Daniel Franzen, Jan Disselhoff, David Hartmann

Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents

Eric Frankel, Kshitij Kulkarni, Dmitriy Drusvyatskiy, Sewoong Oh, Lillian J. Ratliff

S4S: Solving for a Fast Diffusion Model Solver

Eric Frankel, Sitan Chen, Jerry Li, Pang Wei Koh, Lillian J. Ratliff

COMRECGC: Global Graph Counterfactual Explainer through Common Recourse

Gregoire Fournier, Sourav Medya

Adaptive Flow Matching for Resolving Small-Scale Physics

Stathi Fotiadis, Noah D Brenowitz, Tomas Geffner, Yair Cohen, Michael Pritchard

SHARP-Distill: A 68× Faster Recommender System with Hypergraph Neural Networks and Language Models

Saman Forouzandeh, Parham Moradi, Mahdi Jalili

Action-Dependent Optimality-Preserving Reward Shaping

Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias, Arnav Jhala, David Roberts

LSCD: Lomb–Scargle Conditioned Diffusion for Time series Imputation

Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Luciana Ferrer, Svitlana Vyetrenko

Pareto-Optimal Fronts for Benchmarking Symbolic Regression Algorithms

Kei Sen Fong, Mehul Motani

FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation

Kei Sen Fong, Mehul Motani

The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret

Lukas Fluri, Leon Lang, Alessandro Abate, Patrick Forré, David Krueger

Generalized Random Forests Using Fixed-Point Trees

David Fleischer, David A. Stephens, Archer Y. Yang

The Value of Prediction in Identifying the Worst-Off

Unai Fischer-Abaigar, Christoph Kern, Juan Carlos Perdomo

From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set

Mara Finkelstein, Daniel Deutsch, Parker Riley, Juraj Juraska, Geza Kovacs

Improving the Effective Receptive Field of Message-Passing Neural Networks

Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister

Faster Approximation Algorithms for k-Center via Data Reduction

Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li, Anurag Murty Naredla, Ioannis Psarros

GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras

Ekaterina Filimoshina, Dmitry Shirokov

The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback

Côme Fiegel, Pierre Menard, Tadashi Kozuno, Michal Valko, Vianney Perchet

WildChat-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training

Benjamin Feuer, Chinmay Hegde

Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant

Fabio Feser, Marina Evangelou

BiMark: Unbiased Multilayer Watermarking for Large Language Models

Xiaoyan Feng, He Zhang, Yanjun Zhang, Leo Yu Zhang, Shirui Pan

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features

Xiaokun Feng, Dailing Zhang, Shiyu Hu, Xuchen Li, Meiqi Wu

On the Guidance of Flow Matching

Ruiqi Feng, Chenglei Yu, Wenhao Deng, Peiyan Hu, Tailin Wu

Regularized Langevin Dynamics for Combinatorial Optimization

Shengyu Feng, Yiming Yang

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers

Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang

Graph World Model

Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence

Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu

Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts

Jiahai Feng, Stuart Russell, Jacob Steinhardt

TAROT: Targeted Data Selection via Optimal Transport

Lan Feng, Fan Nie, Yuejiang Liu, Alexandre Alahi

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

Mingquan Feng, Weixin Liao, Yixin Huang, Yifan Fu, Qifu Zheng

ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think

Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng

Multi-Modal Object Re-identification via Sparse Mixture-of-Experts

Yingying Feng, Jie Li, Chi Xie, Lei Tan, Jiayi Ji

Perceptually Constrained Precipitation Nowcasting Model

Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu

PILAF: Optimal Human Preference Sampling for Reward Modeling

Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan

Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries

Xuening Feng, Zhaohui Jiang, Timo Kaufmann, Eyke Hüllermeier, Paul Weng

Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity

Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher

On Differential Privacy for Adaptively Solving Search Problems via Sketching

Shiyuan Feng, Ying Feng, George Zhaoqi Li, Zhao Song, David Woodruff

OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation

Yaoxuan Feng, wenchao chen, Yuxin Li, Bo Chen, Yubiao Wang

Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams

Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie, S Kevin Zhou

Local Pan-privacy for Federated Analytics

Vitaly Feldman, Audra McMillan, Guy N. Rothblum, Kunal Talwar

Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models

Thomas FEL, Ekdeep Singh Lubana, Jacob S. Prince, Matthew Kowal, Victor Boutin

On Path to Multimodal Generalist: General-Level and General-Bench

Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu

FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems

Arya Fayyazi, Mehdi Kamal, Massoud Pedram

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications

Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais

In-Context Fine-Tuning for Time-Series Foundation Models

Matthew Faw, Rajat Sen, Yichen Zhou, Abhimanyu Das

On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback

Matthew Faw, Constantine Caramanis, Jessica Hoffmann