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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11797
2505.21640 2025-05-29 cs.LG cs.AI cs.DS math.PR stat.ML

Efficient Diffusion Models for Symmetric Manifolds

Oren Mangoubi, Neil He, Nisheeth K. Vishnoi

机构 * Worcester Polytechnic Institute(沃斯特理工学院) Yale University(耶鲁大学)

Comments The conference version of this paper appears in ICML 2025

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2505.21572 2025-05-29 cs.CV cs.AI cs.LG

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park

Comments ICML 2025

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2505.21533 2025-05-29 cs.CV cs.LG

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning

Thalles Silva, Helio Pedrini, Adín Ramírez Rivera

机构 * Institute of Computing, University of Campinas, Campinas-SP, Brazil(坎皮纳斯大学计算学院) Department of Informatics, University of Oslo, Oslo, Norway(奥斯陆大学信息学院)

Comments Accepted at ICML 2025, code at https://github.com/sthalles/sop

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2505.19105 2025-05-29 cs.LG

Latent Mamba Operator for Partial Differential Equations

Karn Tiwari, Niladri Dutta, N M Anoop Krishnan, Prathosh A P

机构 * Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India(电子通信工程系,印度科学研究院,班加罗尔,印度) Yardi School of AI, Indian Institute of Technology, New Delhi, India(AI学院,印度理工学院,新德里,印度) Department of Civil Engineering, Indian Institute of Technology, New Delhi, India(土木工程系,印度理工学院,新德里,印度) Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India(计算机科学与自动化系,印度科学研究院,班加罗尔,印度)

Comments Proceedings of the 42 nd International Conference on Machine Learning, Vancouver, Canada. PMLR 267, 2025. Copyright 2025 by the author(s)

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2505.17928 2025-05-29 cs.SE cs.AI cs.CL cs.LG

Towards Practical Defect-Focused Automated Code Review

Junyi Lu, Lili Jiang, Xiaojia Li, Jianbing Fang, Fengjun Zhang, Li Yang, Chun Zuo

Comments Accepted as Spotlight at the 42nd International Conference on Machine Learning (ICML 2025)

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2505.04937 2025-05-29 stat.ML cs.LG

Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings

Nong Minh Hieu, Antoine Ledent

机构 * Nong Minh Hieu(农明辉) Antoine Ledent(安托万·莱登)

Comments 40 pages, 3 figures. Published in the 42th Proceedings of International Conference in Machine Learning (ICML 2025)

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2503.12734 2025-05-29 cs.LG stat.ML

In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention

Jianliang He, Xintian Pan, Siyu Chen, Zhuoran Yang

Comments Accepted by ICML 2025, related work added

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2503.01747 2025-05-29 cs.AI cs.LG stat.ML

Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints

Sam Bowyer, Laurence Aitchison, Desi R. Ivanova

Comments 42 pages, 39 figures. ICML 2025 Spotlight Position Paper

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2502.20578 2025-05-29 cs.CV cs.AI cs.LG

Interpreting CLIP with Hierarchical Sparse Autoencoders

Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek

Journal ref Proceedings of the 42st International Conference on Machine Learning (ICML 2025)

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2502.12170 2025-05-29 cs.LG cs.AI cs.CL

MUDDFormer: Breaking Residual Bottlenecks in Transformers via Multiway Dynamic Dense Connections

Da Xiao, Qingye Meng, Shengping Li, Xingyuan Yuan

Comments Accepted to the 42nd International Conference on Machine Learning (ICML'25)

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2502.11057 2025-05-29 cs.RO cs.AI cs.SY eess.SY

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems

Manan Tayal, Aditya Singh, Shishir Kolathaya, Somil Bansal

Comments 22 Pages, 12 Figures. First two authors have contributed equally. Accepted at ICML 2025

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2502.09571 2025-05-29 cs.LG q-bio.QM

DiffMS: Diffusion Generation of Molecules Conditioned on Mass Spectra

Montgomery Bohde, Mrunali Manjrekar, Runzhong Wang, Shuiwang Ji, Connor W. Coley

Comments ICML 2025

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2502.06999 2025-05-29 cs.LG

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models

Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

机构 * Mila -- Qu\'ebec AI Institute Jagiellonian University CIFAR University of Edinburgh

Comments ICML 2025; code: https://github.com/HyperPotatoNeo/Outsourced_Diffusion_Sampling

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2502.05807 2025-05-29 cs.LG

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models

Rafał Karczewski, Markus Heinonen, Vikas Garg

Comments ICML 2025

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2502.03210 2025-05-29 cond-mat.dis-nn cs.LG stat.ML

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias

Comments 33 pages, 12 figures, accepted at International Conference on Machine Learning 2025

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2502.01347 2025-05-29 stat.ML cs.LG

Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization

Simone Bombari, Marco Mondelli

机构 * Institute of Science and Technology Austria (ISTA)(奥地利科学与技术研究所)

Comments Revision after ICML 2025 reviews

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2502.00619 2025-05-29 eess.IV cs.AI cs.CV

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective

Yujin Oh, Pengfei Jin, Sangjoon Park, Sekeun Kim, Siyeop Yoon, Kyungsang Kim, Jin Sung Kim, Xiang Li, Quanzheng Li

Comments ICML 2025 spotlight, see https://openreview.net/forum?id=BUONdewsBa

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2502.00602 2025-05-29 cs.CL cs.LG

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing

Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao

Comments ICML 2025

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2502.00563 2025-05-29 cs.CV eess.IV

Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation

Renhao Lu

Comments Accepted at ICML 2025. This version corresponds to the official camera-ready submission

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2501.16265 2025-05-29 cs.LG

Training Dynamics of In-Context Learning in Linear Attention

Yedi Zhang, Aaditya K. Singh, Peter E. Latham, Andrew Saxe

Comments ICML 2025 Spotlight

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2501.15925 2025-05-29 cs.LG q-bio.NC

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment

Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang

Comments Accepted by ICML 2025

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2412.14689 2025-05-29 cs.CL cs.AI cs.LG

How to Synthesize Text Data without Model Collapse?

Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou

Comments Accepted at ICML 2025

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2412.10419 2025-05-29 cs.CV cs.AI cs.CL cs.LG cs.SY eess.SY

Preference Adaptive and Sequential Text-to-Image Generation

Ofir Nabati, Guy Tennenholtz, ChihWei Hsu, Moonkyung Ryu, Deepak Ramachandran, Yinlam Chow, Xiang Li, Craig Boutilier

机构 * International Conference on Machine Learning (ICML 2025)(国际机器学习会议)

Comments Accepted to ICML 2025 Link to PASTA dataset: https://www.kaggle.com/datasets/googleai/pasta-data

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2410.22316 2025-05-29 cs.CL

Understanding Synthetic Context Extension via Retrieval Heads

Xinyu Zhao, Fangcong Yin, Greg Durrett

机构 * Department of Computer Science, The University of Texas at Austin, Texas, USA(计算机科学系,德克萨斯大学奥斯汀分校)

Comments Published at ICML 2025

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2410.16665 2025-05-29 cs.CL cs.CY

SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior

Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang, Nouha Dziri, Anne G. E. Collins, Jana Schaich Borg, Maarten Sap, Yejin Choi, Sydney Levine

Comments Accepted to ICML 2025

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2410.13080 2025-05-29 cs.CL

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan

Comments Accepted by ICML 2025

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2410.06851 2025-05-29 cs.LG cs.AI

Understanding Model Ensemble in Transferable Adversarial Attack

Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

Comments Accepted by ICML 2025

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2410.06025 2025-05-29 cs.CV cs.LG stat.ML

Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Michael Kirchhof, James Thornton, Louis Béthune, Pierre Ablin, Eugene Ndiaye, Marco Cuturi

Comments Accepted at ICML 2025

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2410.02622 2025-05-29 cs.LG math.AT

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms

Julius von Rohrscheidt, Bastian Rieck

Comments Accepted at ICML 2025

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2311.04378 2025-05-29 cs.LG cs.CL cs.CR

Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models

Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak

机构 * Harvard University(哈佛大学) George Mason University(乔治·马歇尔大学) Sapienza University of Rome(罗马大学)

Comments ICML 2024. Website: https://hanlin-zhang.com/impossibility-watermarks

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