ICML 2025

3,330 papers

Solving Zero-Sum Convex Markov Games

Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp, Georgios Piliouras

Towards Better-than-2 Approximation for Constrained Correlation Clustering

Andreas Kalavas, Evangelos Kipouridis, Nithin Varma

The Logical Implication Steering Method for Conditional Interventions on Transformer Generation

Damjan Kalajdzievski

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

Timo Kaiser, Thomas Norrenbrock, Bodo Rosenhahn

Selective Preference Aggregation

Shreyas Kadekodi, Hayden McTavish, Berk Ustun

Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data

Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar

Grokking Beyond the Euclidean Norm of Model Parameters

Tikeng Notsawo Pascal Junior, Guillaume Dumas, Guillaume Rabusseau

Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models

Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon

Broadband Ground Motion Synthesis by Diffusion Model with Minimal Condition

Jaeheun Jung, Jaehyuk Lee, Chang-Hae Jung, Hanyoung Kim, Bosung Jung

Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning

Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Kanghoon Lee, Woohyung Lim

Preference-CFR: Beyond Nash Equilibrium for Better Game Strategies

Qi Ju, Thomas Tellier, Meng Sun, Zhemei Fang, Yunfeng Luo

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models

Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng

Learning Parametric Distributions from Samples and Preferences

Marc Jourdan, Gizem Yüce, Nicolas Flammarion

All-atom Diffusion Transformers: Unified generative modelling of molecules and materials

Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller

Approximate Differential Privacy of the ℓ_2 Mechanism

Matthew Joseph, Alex Kulesza, Alexander Yu

Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models

Taj Jones-Mccormick, Aukosh Jagannath, Subhabrata Sen

Adversaries Can Misuse Combinations of Safe Models

Erik Jones, Anca Dragan, Jacob Steinhardt

Riemann Tensor Neural Networks: Learning Conservative Systems with Physics-Constrained Networks

Anas Jnini, Lorenzo Breschi, Flavio Vella

Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics

Haoming Jing, Yorie Nakahira

Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement

Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu

MoH: Multi-Head Attention as Mixture-of-Head Attention

Peng Jin, Bo Zhu, Li Yuan, Shuicheng Yan

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective

Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong

Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation

Cheng Jin, Zhenyu Xiao, Chutao Liu, Yuantao Gu

Large Language Models are Demonstration Pre-Selectors for Themselves

Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang

Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity

Tao Jin, Yue Wu, Quanquan Gu, Farzad Farnoud

Diffusion Instruction Tuning

Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Alexander Teare

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding

Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang

PARQ: Piecewise-Affine Regularized Quantization

Lisa Jin, Jianhao Ma, Zechun Liu, Andrey Gromov, Aaron Defazio

Compute or Load KV Cache? Why Not Both?

Shuowei Jin, Xueshen Liu, Qingzhao Zhang, Zhuoqing Mao

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD

ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang

Noisy SIGNSGD Is More Differentially Private Than You (Might) Think

Richeng Jin, Huaiyu Dai

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding

Tian Jin, Ellie Y Cheng, Zachary Ankner, Nikunj Saunshi, Blake M Elias

Mixture of Lookup Experts

Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang

SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs

Shibo Jie, Yehui Tang, Kai Han, Zhi-Hong Deng, Jing Han

DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence

Yang Jiao, Kai Yang, Chengtao Jian

Can Large Language Models Understand Intermediate Representations in Compilers?

Hailong Jiang, Jianfeng Zhu, Yao Wan, Bo Fang, Hongyu Zhang

Compositional Condition Question Answering in Tabular Understanding

Jun-Peng Jiang, Tao Zhou, De-Chuan Zhan, Han-Jia Ye

MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency

Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanwei Li, Yu Qi

FedClean: A General Robust Label Noise Correction for Federated Learning

Xiaoqian Jiang, Jing Zhang

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing

Han Jiang, Xiaoyuan Yi, Zhihua Wei, Ziang Xiao, Shu Wang

Generative Point Cloud Registration

Haobo Jiang, Jin Xie, Jian Yang, Liang Yu, Jianmin Zheng

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models

Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny, Brian Mark, Kai Zeng

Topology-aware Neural Flux Prediction Guided by Physics

Haoyang Jiang, Jindong Wang, Xingquan Zhu, Yi He

SADA: Stability-guided Adaptive Diffusion Acceleration

Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?

Liangze Jiang, Damien Teney

CursorCore: Assist Programming through Aligning Anything

Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration

Haoyun Jiang, Haolin Li, Jianwei Zhang, Fei Huang, Qiang Hu

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao

Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs

YOUHE JIANG, Fangcheng Fu, Xiaozhe Yao, Guoliang He, Xupeng Miao

AnyEdit: Edit Any Knowledge Encoded in Language Models

Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma

FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting

Yue Jiang, Yile Chen, Xiucheng Li, Qin Chao, Shuai Liu

Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures

Yingzhao Jian, Yue Zhang, Ying Wei, Hehe Fan, Yi Yang

Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg

Like Jian, Dong Liu

Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective

Zeyu Jia, Alexander Rakhlin, Tengyang Xie

Controlling Large Language Model with Latent Action

Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou

LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning

Xiuyi Jia, Jinchi Li, Yunan Lu, Weiwei Li

Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible

Lin-Han Jia, Wen-Chao Hu, Jie-Jing Shao, Lan-Zhe Guo, Yu-feng Li

Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits

Su Jia, Peter I. Frazier, Nathan Kallus

DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation

Dongya Jia, Zhuo Chen, Jiawei Chen, Chenpeng Du, Jian Wu

RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy

Zipeng Ji, Guanghui Zhu, chunfeng yuan, Yihua Huang

Pfeife: Automatic Pipeline Parallelism for PyTorch

Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination

Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen

Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens

Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart

Understanding and Mitigating Memorization in Generative Models via Sharpness of Probability Landscapes

Dongjae Jeon, Dueun Kim, Albert No

Enforcing Idempotency in Neural Networks

Nikolaj Banke Jensen, Jamie Vicary

Black-Box Adversarial Attacks on LLM-Based Code Completion

Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin Vechev

Score-of-Mixture Training: One-Step Generative Model Training Made Simple via Score Estimation of Mixture Distributions

Tejas Jayashankar, Jongha Jon Ryu, Gregory W. Wornell

The Brain’s Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning

Dulhan Jayalath, Gilad Landau, Brendan Shillingford, Mark Woolrich, Oiwi Parker Jones

QT-DoG: Quantization-Aware Training for Domain Generalization

Saqib Javed, Hieu Le, Mathieu Salzmann

Improving the Variance of Differentially Private Randomized Experiments through Clustering

Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie

BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference

Wonsuk Jang, Thierry Tambe

Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead

Won-Jun Jang, Hyeon-Seo Park, Si-Hyeon Lee

TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation

Hyeongwon Jang, Changhun Kim, Eunho Yang

A Mixture-Based Framework for Guiding Diffusion Models

Yazid Janati, Badr MOUFAD, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines

Optimal Transfer Learning for Missing Not-at-Random Matrix Completion

Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar

Towards an Explainable Comparison and Alignment of Feature Embeddings

Mohammad Jalali, Bahar Dibaei Nia, Farzan Farnia

From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen

Unifying 2D and 3D Vision-Language Understanding

Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin

Multi-Turn Code Generation Through Single-Step Rewards

Arnav Kumar Jain, Gonzalo Gonzalez-Pumariega, Wayne Chen, Alexander M Rush, Wenting Zhao

Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?

Tom Jacobs, Chao Zhou, Rebekka Burkholz

Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance

Shogo Iwazaki, Shion Takeno

Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems

Tomoharu Iwata, Shinsaku Sakaue

Linear Mode Connectivity between Multiple Models modulo Permutation Symmetries

Akira Ito, Masanori Yamada, Atsutoshi Kumagai

Improving Consistency Models with Generator-Augmented Flows

Thibaut Issenhuth, Sangchul Lee, Ludovic DOS SANTOS, Jean-Yves Franceschi, Chansoo Kim

Safe-EF: Error Feedback for Non-smooth Constrained Optimization

Rustem Islamov, Yarden As, Ilyas Fatkhullin

Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence

İlker Işık, Ramazan Gokberk Cinbis, Ebru Aydin Gol

Pareto-frontier Entropy Search with Variational Lower Bound Maximization

Masanori Ishikura, Masayuki Karasuyama

Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces

Tyler Ingebrand, Adam Thorpe, Ufuk Topcu

Robust Sparsification via Sensitivity

Chansophea Wathanak In, Yi Li, David Woodruff, Xuan Wu

QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration

Hamidreza Imani, Jiaxin Peng, Peiman Mohseni, Abdolah Amirany, Tarek El-Ghazawi

Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions

Geonho Hwang, Yeachan Park, Wonyeol Lee, Sejun Park

Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion

Minsung Hwang, Jaejun Lee, Joyce Jiyoung Whang

Constrained Online Convex Optimization with Polyak Feasibility Steps

Spencer Hutchinson, Mahnoosh Alizadeh

Understanding Generalization in Quantum Machine Learning with Margins

Tak Hur, Daniel K. Park

Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem

In Huh, changwook jeong, Muhammad Alam

Imitation Learning from a Single Temporally Misaligned Video

William Huey, Huaxiaoyue Wang, Anne Wu, Yoav Artzi, Sanjiban Choudhury

Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling

Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Ya Wang

Steering Protein Language Models

Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao

TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting

Qihe Huang, Zhengyang Zhou, Kuo Yang, Zhongchao Yi, Xu Wang