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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11797
2410.22128 2025-07-25 cs.CV

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting

Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim

机构 * Microsoft Research Asia(微软亚洲研究院)

Comments Accepted by ICML'25

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2401.17256 2025-07-25 cs.CL

Weak-to-Strong Jailbreaking on Large Language Models

Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang

机构 * Sea AI Lab, Singapore(新加坡海智实验室) Carnegie Mellon University(卡内基梅隆大学)

Comments ICML 2025

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2507.17416 2025-07-24 eess.IV

Efficient and Robust Semantic Image Communication via Stable Cascade

Bilal Khalid, Pedro Freire, Sergei K. Turitsyn, Jaroslaw E. Prilepsky

Comments Accepted at ICML 2025 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless)

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2507.17382 2025-07-24 cs.LG

Continual Generalized Category Discovery: Learning and Forgetting from a Bayesian Perspective

Hao Dai, Jagmohan Chauhan

机构 * Department of Computer Science, UCL Centre for Artificial Intelligence, University College London, London, UK(计算机科学系,UCL人工智能中心,伦敦大学学院,伦敦,英国) University of Southampton, Southampton, UK(南安普顿大学,南安普顿,英国)

Comments 20 pages, 6 figures. Forty-second International Conference on Machine Learning. 2025

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2507.11588 2025-07-24 q-bio.GN cs.AI cs.LG

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics

Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie

机构 * Department of Computer Science and Tecnology, Tsinghua University(清华大学计算机科学与技术系) Institute for AI Industry Research (AIR), Tsinghua University(清华大学人工智能产业研究院) School of Mathematical Sciences, Peking University(北京大学数学科学学院) PharMolix Inc.(PharMolix公司)

Comments Accpeted by ICML 2025

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2507.17135 2025-07-24 cs.LG cs.AI cs.CV

SADA: Stability-guided Adaptive Diffusion Acceleration

Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

机构 * Department of Electrical and Computer Engineering, Duke University, Durham, U.S.A(电子与计算机工程系,杜克大学,Durham,美国) Department of Statistical Science, Duke University, Durham, U.S.A(统计科学系,杜克大学,Durham,美国)

Comments Accepted and published by ICML 2025. Code is available at: https://github.com/Ting-Justin-Jiang/sada-icml

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2507.17013 2025-07-24 cs.LG cs.AI

laplax -- Laplace Approximations with JAX

Tobias Weber, Bálint Mucsányi, Lenard Rommel, Thomas Christie, Lars Kasüschke, Marvin Pförtner, Philipp Hennig

机构 * Tübingen AI center, University of Tübingen, Tübingen, Germany(图宾根人工智能中心,图宾根大学)

Comments Submission to the ICML 2025 Workshop on Championing Open-source Development in Machine Learning (CODEML '25)

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2507.16978 2025-07-24 q-bio.GN cs.AI cs.LG

Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN

Mohammad Saleh Refahi, Gavin Hearne, Harrison Muller, Kieran Lynch, Bahrad A. Sokhansanj, James R. Brown, Gail Rosen

机构 * Department of Electrical and Computer Engineering, Drexel University, Philadelphia, USA(电气与计算机工程系,德雷塞尔大学,费城,美国)

Journal ref GenBio @ ICML 2025 Workshop, OpenReview, June 2025 GenBio @ ICML 2025 Workshop, OpenReview, June 2025

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2502.05236 2025-07-24 cs.SD cs.AI cs.LG eess.AS

Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance

Shehzeen Hussain, Paarth Neekhara, Xuesong Yang, Edresson Casanova, Subhankar Ghosh, Mikyas T. Desta, Roy Fejgin, Rafael Valle, Jason Li

机构 * NVIDIA Corporation(英伟达公司)

Journal ref ICML Workshop on Machine Learning for Audio, 2025

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2501.06158 2025-07-24 cs.LG

GenMol: A Drug Discovery Generalist with Discrete Diffusion

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat

机构 * NVIDIA

Comments ICML 2025

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2410.08385 2025-07-24 cs.LG cs.AI cs.CY cs.SE

Language model developers should report train-test overlap

Andy K Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang

机构 * Stanford University(斯坦福大学)

Comments ICML 2025 Spotlight; 23 pages

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2507.16817 2025-07-23 astro-ph.IM astro-ph.HE

Mixture-of-Expert Variational Autoencoders for Cross-Modality Embedding of Type Ia Supernova Data

Yunyi Shen, Alexander T. Gagliano

Comments Accepted to the Machine Learning for Astrophysics Workshop co-located at ICML 2025 and selected for a spotlight talk

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2507.16178 2025-07-23 cs.LG cs.AI

LLM Data Selection and Utilization via Dynamic Bi-level Optimization

Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所认知与决策智能复杂系统重点实验室) Huawei Noah’s Ark Lab(华为诺亚实验室) College of Intelligence and Computing, Tianjin University(天津大学智能与计算学院) Nanyang Technological University(南洋理工大学)

Comments The 42nd International Conference on Machine Learning (ICML 2025)

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2502.18699 2025-07-23 cs.CL cs.LG stat.ME

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment

Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang

机构 * Department of Statistics, Rutgers University, New Brunswick, United States Department of Computer Science, Rutgers University, New Brunswick, United States College of Management of Technology, EPFL, Switzerland Department of Computer Science, ETH Zurich, Switzerland

Comments ICML 2025

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2507.16099 2025-07-23 cs.LG

TorchAO: PyTorch-Native Training-to-Serving Model Optimization

Andrew Or, Apurva Jain, Daniel Vega-Myhre, Jesse Cai, Charles David Hernandez, Zhenrui Zheng, Driss Guessous, Vasiliy Kuznetsov, Christian Puhrsch, Mark Saroufim, Supriya Rao, Thien Tran, Aleksandar Samardžić

机构 * Meta Platforms Inc.(Meta公司) OpenTeams Inc.(OpenTeams公司)

Comments 5 pages, 3 figures, published in CODEML@ICML25

Journal ref ICML 2025 Workshop on Championing Open-source DEvelopment (CODEML 2025)

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2507.07271 2025-07-23 cs.LG

Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time

Julianna Piskorz, Krzysztof Kacprzyk, Harry Amad, Mihaela van der Schaar

机构 * Department of Mathematics and Theoretical Physics, University of Cambridge, United Kingdom(数学与理论物理系,剑桥大学,英国)

Comments Presented at the Actionable Interpretability Workshop at ICML 2025

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2503.09565 2025-07-23 cs.LG cs.AI math.OC stat.ML

Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $μ$P Parametrization

Zixiang Chen, Greg Yang, Qingyue Zhao, Quanquan Gu

机构 * Department of Computer Science, University of California, Los Angeles, USA(计算机科学系,加州大学洛杉矶分校)

Comments 28 pages, 17 figures, 2 tables. In ICML 2025

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2502.15873 2025-07-22 cs.AI cs.CY

Practical Principles for AI Cost and Compute Accounting

Stephen Casper, Luke Bailey, Tim Schreier

机构 * MIT CSAIL Stanford University(斯坦福大学) Future of Life Institute(未来生命研究所)

Comments Accepted to the ICML 2025 TAIG Workshop

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2501.08676 2025-07-22 cs.CV cs.GR

FlexiClip: Locality-Preserving Free-Form Character Animation

Anant Khandelwal

机构 * Search Technology Center India, Microsoft, IDC, Bengaluru, India(Bharat)(印度搜索技术中心、微软、IDC、班加罗尔、印度(巴哈拉特))

Comments 13 pages, 4 figures, 7 tables, Accepted in ICML 2025, https://openreview.net/forum?id=xtxCM4XZ82

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

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2405.14620 2025-07-22 cs.LG

Closed-form Solutions: A New Perspective on Solving Differential Equations

Shu Wei, Yanjie Li, Lina Yu, Weijun Li, Min Wu, Linjun Sun, Jingyi Liu, Hong Qin, Yusong Deng, Jufeng Han, Yan Pang

机构 * AnnLab, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China(安 lab,半导体研究所,中国科学院,北京,中国) College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, China(材料科学与光电技术学院,中国科学院大学,北京,中国) School of Integrated Circuits, University of Chinese Academy of Sciences, Beijing, China(集成电路学院,中国科学院大学,北京,中国) School of Industry-education Integration, University of Chinese Academy of Sciences, Beijing, China(产教融合学院,中国科学院大学,北京,中国)

Comments Accepted as a poster at the 42nd International Conference on Machine Learning (ICML 2025), Vancouver, Canada

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2507.14747 2025-07-22 cs.LG cs.NE

Pruning Increases Orderedness in Recurrent Computation

Yiding Song

机构 * Harvard College(哈佛学院)

Comments 8 pages, 11 figures, 2 tables, Workshop on Methods and Opportunities at Small Scale (MOSS), ICML 2025

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2507.14353 2025-07-22 cs.LG cs.AI cs.CL

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers

Harsh Nilesh Pathak, Randy Paffenroth

机构 * Department of Data Science, Worcester Polytechnic Institute, MA, United States(数据科学系,沃斯特理工学院,马萨诸塞州,美国) Department of Data Science, Mathematics and Computer Science, Worcester Polytechnic Institute, MA, United States(数据科学系,数学与计算机科学,沃斯特理工学院,马萨诸塞州,美国) Department of Data Science, Mathematics(数据科学系,数学) Computer Science, Worcester Polytechnic Institute, MA, United States(计算机科学,沃斯特理工学院,马萨诸塞州,美国)

Journal ref ICML SIM workshop 2025

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2507.14335 2025-07-22 cs.AI

ProofCompass: Enhancing Specialized Provers with LLM Guidance

Nicolas Wischermann, Claudio Mayrink Verdun, Gabriel Poesia, Francesco Noseda

机构 * Federal University of Rio de Janeiro(里约热内卢联邦大学) Harvard John A. Paulson School of Engineering and Applied Sciences(哈佛大学约翰·A·保罗森工程与应用科学学院) Stanford University(斯坦福大学)

Comments 19 pages, 7 figures. Accepted at the 2nd AI for MATH Workshop at the 42nd International Conference on Machine Learning (ICML 2025)

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2507.14204 2025-07-22 cs.LG cs.AI cs.CL

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models

Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You, Sixu Li, Xin Dong, Jan Kautz, Pavlo Molchanov, Yingyan, Lin

机构 * NVIDIA

Comments ICML 2025. Code: https://github.com/GATECH-EIC/LaCache

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2507.14170 2025-07-22 cs.LG cs.AI

Catalyst: a Novel Regularizer for Structured Pruning with Auxiliary Extension of Parameter Space

Jaeheun Jung, Donghun Lee

Comments ICML 2025 workshop HiLD 2025 (3rd workshop on High-dimensional Learning Dynamics)

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2507.14141 2025-07-22 eess.SP cs.AI cs.LG

DIVER-0 : A Fully Channel Equivariant EEG Foundation Model

Danny Dongyeop Han, Ahhyun Lucy Lee, Taeyang Lee, Yonghyeon Gwon, Sebin Lee, Seongjin Lee, David Keetae Park, Shinjae Yoo, Jiook Cha, Chun Kee Chung

机构 * snu(首尔国立大学) bnl(布鲁克海文国家实验室)

Comments 11 pages, 1 figures, ICML 2025 Workshop on GenBio

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2507.04695 2025-07-22 cs.LG

Interpretable Reward Modeling with Active Concept Bottlenecks

Sonia Laguna, Katarzyna Kobalczyk, Julia E. Vogt, Mihaela Van der Schaar

机构 * Department of Computer Science, ETH Zurich, Zurich, Switzerland(苏黎世联邦理工学院计算机科学系) Department of Applied Mathematics and Theoretical Physics, University of Cambridge, United Kingdom(剑桥大学应用数学与理论物理系)

Journal ref ICML 2025 Workshop on Programmatic Representations for Agent Learning

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2506.00302 2025-07-22 cs.LG cond-mat.mtrl-sci

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework

Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

机构 * Computer Engineering, Texas A\&M University, College Station, TX 77843, USA College of Science Engineering, Hamad Bin Khalifa University, Doha, Qatar Dept. of Electrical \& Computer Engineering, Texas A\&M University at Qatar, Doha, Qatar Orthotics, Ankara University, Ankara, Turkey

Comments Presented at ICML 2025 Workshop on DataWorld

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2410.04489 2025-07-22 stat.ML cond-mat.dis-nn cs.LG math-ph math.MP

Grokking at the Edge of Linear Separability

Alon Beck, Noam Levi, Yohai Bar-Sinai

机构 * Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel(雷蒙德与贝弗利·萨克勒物理与天文学学院,特拉维夫大学) École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland(洛桑联邦理工学院(EPFL),洛桑,瑞士)

Comments Camera-ready version, ICML 2025

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2409.06656 2025-07-22 eess.AS cs.CL cs.LG cs.SD

Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems

Taejin Park, Ivan Medennikov, Kunal Dhawan, Weiqing Wang, He Huang, Nithin Rao Koluguri, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg

机构 * nvidia

Comments Published at ICML 2025

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

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