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ICML 2025

A*

International Conference on Machine Learning

Official site ↗
3,342
accepted papers
13,885
authors
July 11-19, 2025
dates
Canada
location

300 / 3,342 papers

  1. 1
    "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift
    Harvineet Singh
    ,
    Fan Xia
    ,
    Alexej Gossmann
    ,
    Andrew Chuang
    ,
    Julian C. Hong
    ,
    Jean Feng
  2. 2
    "Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
    Mengmeng Ma
    ,
    Tang Li
    ,
    Yunxiang Peng
    ,
    Lu Lin
    ,
    Volkan Beylergil
    ,
    Binsheng Zhao
    ,
    Oguz Akin
    ,
    Xi Peng
  3. 3
    (How) Can Transformers Predict Pseudo-Random Numbers?
    Tao Tao
    ,
    Darshil Doshi
    ,
    Dayal Singh Kalra
    ,
    Tianyu He
    ,
    Maissam Barkeshli
  4. 4
    (How) Do Language Models Track State?
    Belinda Z. Li
    ,
    Zifan Carl Guo
    ,
    Jacob Andreas
  5. 5
    3D Question Answering via only 2D Vision-Language Models
    Fengyun Wang
    ,
    Sicheng Yu
    ,
    Jiawei Wu
    ,
    Jinhui Tang
    ,
    Hanwang Zhang
    ,
    Qianru Sun
  6. 6
    3D-LMVIC: Learning-based Multi-View Image Compression with 3D Gaussian Geometric Priors
    Yujun Huang
    ,
    Bin Chen
    ,
    Niu Lian
    ,
    Xin Wang
    ,
    Baoyi An
    ,
    Tao Dai
    ,
    Shu-Tao Xia
  7. 7
    A Bayesian Model Selection Criterion for Selecting Pretraining Checkpoints
    Michael Munn
    ,
    Susan Wei
  8. 8
    A Bregman Proximal Viewpoint on Neural Operators
    Abdel-Rahim Mezidi
    ,
    Jordan Patracone
    ,
    Saverio Salzo
    ,
    Amaury Habrard
    ,
    Massimiliano Pontil
    ,
    Rémi Emonet
    ,
    Marc Sebban
  9. 9
    A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
    Raanan Yehezkel Rohekar
    ,
    Yaniv Gurwicz
    ,
    Sungduk Yu
    ,
    Estelle Aflalo
    ,
    Vasudev Lal
  10. 10
    A Certified Unlearning Approach without Access to Source Data
    Umit Yigit Basaran
    ,
    Sk Miraj Ahmed
    ,
    Amit Roy-Chowdhury
    ,
    Basak Guler
  11. 11
    A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
    Yu Chen
    ,
    Jing Lian
    ,
    Zhaofei Yu
    ,
    Jizhao Liu
    ,
    Jisheng Dang
    ,
    Gang Wang
  12. 12
    A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
    Edward Y. Chang
  13. 13
    A Classification View on Meta Learning Bandits
    Mirco Mutti
    ,
    Jeongyeol Kwon
    ,
    Shie Mannor
    ,
    Aviv Tamar
  14. 14
    A Closer Look at Backdoor Attacks on CLIP
    Shuo He
    ,
    Zhifang Zhang
    ,
    Feng Liu
    ,
    Roy Ka-Wei Lee
    ,
    Bo An
    ,
    Lei Feng
  15. 15
    A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
    Xinsong Ma
    ,
    Jie Wu
    ,
    Weiwei Liu
  16. 16
    A Closer Look at Multimodal Representation Collapse
    Abhra Chaudhuri
    ,
    Anjan Dutta
    ,
    Tu Bui
    ,
    Serban Georgescu
  17. 17
    A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
    Yu Chen
    ,
    Nathalia Céspedes
    ,
    Payam M. Barnaghi
  18. 18
    A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
    Varshita Kolipaka
    ,
    Akshit Sinha
    ,
    Debangan Mishra
    ,
    Sumit Kumar
    ,
    Arvindh Arun
    ,
    Shashwat Goel
    ,
    Ponnurangam Kumaraguru
  19. 19
    A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
    Ruinan Jin
    ,
    Xiao Li
    ,
    Yaoliang Yu
    ,
    Baoxiang Wang
  20. 20
    A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
    Kihyuk Hong
    ,
    Ambuj Tewari
  21. 21
    A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
    Ihab Bendidi
    ,
    Yassir El Mesbahi
    ,
    Alisandra Kaye Denton
    ,
    Karush Suri
    ,
    Kian Kenyon-Dean
    ,
    Auguste Genovesio
    ,
    Emmanuel Noutahi
  22. 22
    A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
    Biswadeep Chakraborty
    ,
    Harshit Kumar
    ,
    Saibal Mukhopadhyay
  23. 23
    A First-order Generative Bilevel Optimization Framework for Diffusion Models
    Quan Xiao
    ,
    Hui Yuan
    ,
    A F M Saif
    ,
    Gaowen Liu
    ,
    Ramana Rao Kompella
    ,
    Mengdi Wang
    ,
    Tianyi Chen
  24. 24
    A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
    Zilin Kang
    ,
    Chenyuan Hu
    ,
    Yu Luo
    ,
    Zhecheng Yuan
    ,
    Ruijie Zheng
    ,
    Huazhe Xu
  25. 25
    A General Framework for Inference-time Scaling and Steering of Diffusion Models
    Raghav Singhal
    ,
    Zachary Horvitz
    ,
    Ryan Teehan
    ,
    Mengye Ren
    ,
    Zhou Yu
    ,
    Kathleen McKeown
    ,
    Rajesh Ranganath
  26. 26
    A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
    Nian Liu
    ,
    Xiaoxin He
    ,
    Thomas Laurent
    ,
    Francesco Di Giovanni
    ,
    Michael M. Bronstein
    ,
    Xavier Bresson
  27. 27
    A General Representation-Based Approach to Multi-Source Domain Adaptation
    Ignavier Ng
    ,
    Yan Li
    ,
    Zijian Li
    ,
    Yujia Zheng
    ,
    Guangyi Chen
    ,
    Kun Zhang
  28. 28
    A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
    Yuchen Wang
    ,
    Hongjue Zhao
    ,
    Haohong Lin
    ,
    Enze Xu
    ,
    Lifang He
    ,
    Huajie Shao
  29. 29
    A Generalization Result for Convergence in Learning-to-Optimize
    Michael Sucker
    ,
    Peter Ochs
  30. 30
    A Generalization Theory for Zero-Shot Prediction
    Ronak Mehta
    ,
    Zaïd Harchaoui
  31. 31
    A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
    Yufei Huang
    ,
    Changhu Wang
    ,
    Junjie Tang
    ,
    Weichi Wu
    ,
    Ruibin Xi
  32. 32
    A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
    Shib Sankar Dasgupta
    ,
    Michael Boratko
    ,
    Andrew McCallum
  33. 33
    A Hitchhiker's Guide to Scaling Law Estimation
    Leshem Choshen
    ,
    Yang Zhang
    ,
    Jacob Andreas
  34. 34
    A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
    Thomas Schmied
    ,
    Thomas Adler
    ,
    Vihang Prakash Patil
    ,
    Maximilian Beck
    ,
    Korbinian Pöppel
    ,
    Johannes Brandstetter
    ,
    Günter Klambauer
    ,
    Razvan Pascanu
    ,
    Sepp Hochreiter
  35. 35
    A Lens into Interpretable Transformer Mistakes via Semantic Dependency
    Ruo-Jing Dong
    ,
    Yu Yao
    ,
    Bo Han
    ,
    Tongliang Liu
  36. 36
    A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
    Shivam Kumar
    ,
    Yun Yang
    ,
    Lizhen Lin
  37. 37
    A Machine Learning Approach to Duality in Statistical Physics
    Prateek Gupta
    ,
    Andrea E. V. Ferrari
    ,
    Nabil Iqbal
  38. 38
    A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
    Zhiyang Wang
    ,
    Juan Cerviño
    ,
    Alejandro Ribeiro
  39. 39
    A Market for Accuracy: Classification Under Competition
    Ohad Einav
    ,
    Nir Rosenfeld
  40. 40
    A Mathematical Framework for AI-Human Integration in Work
    L. Elisa Celis
    ,
    Lingxiao Huang
    ,
    Nisheeth K. Vishnoi
  41. 41
    A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
    Yiming Chen
    ,
    Yuan Zhang
    ,
    Yin Liu
    ,
    Kun Yuan
    ,
    Zaiwen Wen
  42. 42
    A Meta-learner for Heterogeneous Effects in Difference-in-Differences
    Hui Lan
    ,
    Haoge Chang
    ,
    Eleanor Wiske Dillon
    ,
    Vasilis Syrgkanis
  43. 43
    A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
    Suyu Liu
    ,
    Zhiguang Cao
    ,
    Shanshan Feng
    ,
    Yew-Soon Ong
  44. 44
    A Mixture-Based Framework for Guiding Diffusion Models
    Yazid Janati
    ,
    Badr Moufad
    ,
    Mehdi Abou El Qassime
    ,
    Alain Oliviero Durmus
    ,
    Eric Moulines
    ,
    Jimmy Olsson
  45. 45
    A Model of Place Field Reorganization During Reward Maximization
    M. Ganesh Kumar
    ,
    Blake Bordelon
    ,
    Jacob A. Zavatone-Veth
    ,
    Cengiz Pehlevan
  46. 46
    A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making
    Yi Xie
    ,
    Jaedong Hwang
    ,
    Carlos D. Brody
    ,
    David W. Tank
    ,
    Ila R. Fiete
  47. 47
    A Near Linear Query Lower Bound for Submodular Maximization
    Binghui Peng
    ,
    Aviad Rubinstein
  48. 48
    A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
    Bokun Wang
    ,
    Tianbao Yang
  49. 49
    A New Approach to Backtracking Counterfactual Explanations: A Unified Causal Framework for Efficient Model Interpretability
    Pouria Fatemi
    ,
    Ehsan Sharifian
    ,
    Mohammad Hossein Yassaee
  50. 50
    A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning
    Yingzhen Yang