ICML

Discrete and Continuous Difference of Submodular Minimization

George Orfanides, Tim Hoheisel, Marwa El Halabi

机构 * McGill（麦吉尔大学） ； Department of Mathematics and Statistics（数学与统计学系） ； McGill University（麦吉尔大学） ； Samsung（三星） ； Samsung AI Lab（三星人工智能实验室） 纠错

Journal ref Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada. PMLR 267, 2025

Orbit-Aware Split Learning: Optimizing LEO Satellite Networks for Distributed Online Learning

Marc Martinez-Gost, Ana Pérez-Neira

Comments Paper accepted in 2025th IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)

Random Initialization of Gated Sparse Adapters

Vi Retault, Yohaï-Eliel Berreby

机构 * GIGL Department, Polytechnique Montréal, Montréal, QC, Canada（波士顿理工大学蒙特利尔分校GIGL部门） ； Department of Physiology, McGill University, Montréal, QC, Canada（麦吉尔大学生理学系） ； Mila - Quebec AI Institute（魁北克AI研究所） 纠错

Comments 13 pages (8 main), 6 figures (4 main). Accepted by NewInML workshop @ ICML 2025 on June 27, 2025

UI-Evol: Automatic Knowledge Evolving for Computer Use Agents

Ziyun Zhang, Xinyi Liu, Xiaoyi Zhang, Jun Wang, Gang Chen, Yan Lu

机构 * School of Software and Microelectronics, Peking University（北京大学软件与微电子学院） ； Microsoft Research Asia（微软亚洲研究院） 纠错

Comments Accepted to ICML 2025 Workshop on Computer Use Agents

Transfer Learning for Onboard Cloud Segmentation in Thermal Earth Observation: From Landsat to a CubeSat Constellation

Niklas Wölki, Lukas Kondmann, Christian Mollière, Martin Langer, Julia Gottfriedsen, Martin Werner

机构 * OroraTech GmbH（OroraTech公司） ； Technical University of Munich (TUM)（慕尼黑技术大学） 纠错

Comments This work was presented at the TerraBytes Workshop at the 42nd International Conference on Machine Learning. This version is not part of the official ICML proceedings

Recommendations and Reporting Checklist for Rigorous & Transparent Human Baselines in Model Evaluations

Kevin L. Wei, Patricia Paskov, Sunishchal Dev, Michael J. Byun, Anka Reuel, Xavier Roberts-Gaal, Rachel Calcott, Evie Coxon, Chinmay Deshpande

机构 * Harvard University, Cambridge, MA, USA ； Stanford University, Stanford, CA, USA ； Center for Democracy \& Technology, Washington, D.C., USA ； Max Planck School of Cognition, Leipzig, Germany ； not those of RAND or its research sponsors, clients, or grantors. 纠错

Comments A version of this paper has been accepted to ICML 2025 as a position paper (spotlight), with the title: "Position: Human Baselines in Model Evaluations Need Rigor and Transparency (With Recommendations & Reporting Checklist)."

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:82265-82325, 2025

Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation

Wei Chen, Shigui Li, Jiacheng Li, Junmei Yang, John Paisley, Delu Zeng

机构 * The School of Mathematics, South China University of Technology, Guangzhou 510006, China（华南理工大学数学学院） ； The School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510006, China（华南理工大学电子与信息工程学院） ； The Department of Electrical Engineering, Columbia University, New York, NY 10027, USA（哥伦比亚大学电气工程系） 纠错

Journal ref ICML 2025: Proceedings of the 42nd International Conference on Machine Learning, 2025

Hyper-Transforming Latent Diffusion Models

Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen

机构 * Department of Applied Mathematics and Computer Science, Technical University of Denmark, Copenhagen, Denmark（丹麦技术大学应用数学与计算机科学系） ； Pioneer Centre for Artificial Intelligence, Copenhagen, Denmark（哥本哈根人工智能先锋中心） ； Saarland University, Saarbrücken, Germany（萨尔兰大学） ； Zuse School ELIZA（祖斯学校ELIZA） 纠错

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:48714-48733, 2025

Differential privacy guarantees of Markov chain Monte Carlo algorithms

Andrea Bertazzi, Tim Johnston, Gareth O. Roberts, Alain Durmus

机构 * University of Warwick, UK（沃里克大学） 纠错

Journal ref ICML 2025

Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence

Yuankai Luo, Lei Shi, Xiao-Ming Wu

机构 * Beihang University（北洋大学） ； The Hong Kong Polytechnic University（香港理工大学） 纠错

Comments ICML 2025

Wait-Less Offline Tuning and Re-solving for Online Decision Making

Jingruo Sun, Wenzhi Gao, Ellen Vitercik, Yinyu Ye

机构 * Department of Management Science \& Engineering, Stanford University ； Institute for Computational ； Mathematical Engineering, Stanford University ； Department of Computer Science, Stanford University ； Chinese University of Hong Kong (Shen Zhen) ； Hong Kong University of Science 纠错

Comments In this version, we achieve a tighter regret bound with the warm start for the first batch. We also make the proof more elegant by manually accepting all subsequent orders once the constraint is violated. In this way, we do not need to introduce the concept of stopping time for the analysis of the LP-based method

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:57419-57449, 2025

Dataset Distillation for Offline Reinforcement Learning

Jonathan Light, Yuanzhe Liu, Ziniu Hu

机构 * Department of Computer Science（计算机科学系） ； Rensselaer Polytechnic Institute（伦塞拉尔理工学院） ； Computing + Mathematical Sciences Department（计算+数学科学系） 纠错

Comments ICML 2024 DMLR Workshop Our project site is available at https://datasetdistillation4rl.github.io We also provide our implementation at https://github.com/ggflow123/DDRL

Point-Level Topological Representation Learning on Point Clouds

Vincent P. Grande, Michael T. Schaub

机构 * rwth Aachen University（亚琛工业大学） 纠错

Comments 47 pages, 18 figures, comments welcome

Journal ref International Conference on Machine Learning (ICML 2025)

Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models

Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu

机构 * University of South Florida, Tampa, FL, USA（佛罗里达州立大学） ； Brandeis University, Waltham, MA, USA（布兰迪大学） ； Tsinghua University（清华大学） 纠错

Comments Accepted to ICML 2025 (Oral)

IrisML: Neural Posterior Estimation for the Spectral Energy Distribution fitting

Mateusz Kapusta

Comments Accepted at the 2025 ICML Workshop on Machine Learning for Astrophysics. Github code: https://github.com/Wesenheit/Iris-ML

Training a Generally Curious Agent

Fahim Tajwar, Yiding Jiang, Abitha Thankaraj, Sumaita Sadia Rahman, J Zico Kolter, Jeff Schneider, Ruslan Salakhutdinov

机构 * North Carolina State University（北卡罗来纳州立大学） 纠错

Comments ICML 2025. Project Website: https://paprika-llm.github.io

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization

Cheng Tang, Zhishuai Liu, Pan Xu

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Tsinghua University（清华大学） ； Duke University（杜克大学） 纠错

Comments 41 pages, 3 figures, 2 tables. Published in Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:58842-58882, 2025

Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators

Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael Bronstein, Yoshua Bengio, Alexander Tong, Avishek Joey Bose

机构 * Mila – Québec AI Institute（魁北克AI研究所） ； Université de Montréal（蒙特利尔大学） ； Massachusetts Institute of Technology（麻省理工学院） ； University of Oxford（牛津大学） ； AITHYRA ； HEC Montréal（蒙特利尔HEC） 纠错

Comments Preprint; ICML GenBio Best Paper Award 2025

Improving LLM Safety Alignment with Dual-Objective Optimization

Xuandong Zhao, Will Cai, Tianneng Shi, David Huang, Licong Lin, Song Mei, Dawn Song

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments ICML 2025

On the Impact of Performative Risk Minimization for Binary Random Variables

Nikita Tsoy, Ivan Kirev, Negin Rahimiyazdi, Nikola Konstantinov

机构 * INSAIT, Sofia University ``St. Kliment Ohridski''（INSAIT，索菲亚大学『圣克莱门特·奥赫里迪基』） 纠错

Comments ICML 2025 camera-ready

Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry

Run Peng, Ziqiao Ma, Amy Pang, Sikai Li, Zhang Xi-Jia, Yingzhuo Yu, Cristian-Paul Bara, Joyce Chai

机构 * University of Michigan（密歇根大学） ； UNC, Chapel Hill（北卡罗来纳大学教堂山分校） ； Georgia Tech（佐治亚理工学院） ； Apple（苹果公司） ； Robert Bosch SRL（博世股份有限公司） ； Babeş-Bolyai University（巴贝什-博耶亚大学） 纠错

Comments Workshop on Multi-Agent System @ ICML 2025

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks

Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:23266-23290, 2024

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression

Wei Jiang, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang

机构 * Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Peking University Shenzhen Graduate School（超高清沉浸媒体技术广东省重点实验室，北京大学深圳研究生院） ； School of Arts, Peking University（艺术学院，北京大学） ； Pengcheng Laboratory（鹏城实验室） 纠错

Comments Accepted to ICML 2023 Neural Compression Workshop and ACM Transactions on Multimedia Computing, Communications, and Applications 2025

Journal ref ACM Trans. Multimedia Comput. Commun. Appl., 21(5), Article 142, May 2025

Predictive Performance of Deep Quantum Data Re-uploading Models

Xin Wang, Han-Xiao Tao, Re-Bing Wu

机构 * Department of Automation, Tsinghua University, Beijing, China（自动化系，清华大学，北京，中国） 纠错

Comments 34 pages, 15 figures

Journal ref https://icml.cc/virtual/2025/poster/46123

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani

机构 * Eindhoven University of Technology（埃因霍温理工大学） ； Technical University Darmstadt（达姆施塔特技术大学） ； Graz University of Technology（格拉茨理工大学） ； University California Los Angeles（加州大学洛杉矶分校） ； University of Cambridge（剑桥大学） 纠错

Journal ref Proceedings of the 37th International Conference on Machine Learning, PMLR 119:7563-7574, 2020

Editable Noise Map Inversion: Encoding Target-image into Noise For High-Fidelity Image Manipulation

Mingyu Kang, Yong Suk Choi

机构 * Department of Artificial Intelligence, University of Hanyang, Seoul, Korea（人工智能系，翰阳大学，韩国首尔） ； Department of Computer Science, University of Hanyang, Seoul, Korea（计算机科学系，翰阳大学，韩国首尔） 纠错

Comments ICML 2025

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 Politis, Gino Domel, Thomas J. R. Hughes, Wing Kam Liu

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:21138-21162, 2025

The dark side of the forces: assessing non-conservative force models for atomistic machine learning

Filippo Bigi, Marcel Langer, Michele Ceriotti

机构 * Laboratory of Computational Science and Modeling（计算科学与建模实验室） 纠错

Comments ICML 2025 (Oral)

Retraining-Free Merging of Sparse MoE via Hierarchical Clustering

I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee

机构 * National Tsing Hua University（国立清华大学） ； National Taiwan University（国立台湾大学） ； University of Toronto（多伦多大学） ； NVIDIA AI Technology Center (NVAITC)（NVIDIA AI技术中心） ； Samsung Research America（三星美国研究院） 纠错

Comments Code: https://github.com/wazenmai/HC-SMoE. Accepted by ICML 2025

Invertible generative models for inverse problems: mitigating representation error and dataset bias

Muhammad Asim, Mara Daniels, Oscar Leong, Ali Ahmed, Paul Hand

机构 * itu（信息科技大学） ； rice（里士满大学） ； neumcs（东北大学） 纠错

Comments Camera ready version for ICML 2020, paper 2655