ICML 2025

3,330 papers

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics

Letian Chen, Nina Marie Moorman, Matthew Craig Gombolay

Learnware Specification via Dual Alignment

Wei Chen, Jun-Xiang Mao, Xiaozheng Wang, Min-ling Zhang

Non-Asymptotic Length Generalization

Thomas Chen, Tengyu Ma, Zhiyuan Li

Retraining-free Merging of Sparse MoE via Hierarchical Clustering

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

Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction

Yinfeng Chen, Jin Liu, Rui Qiu

Falcon: Fast Visuomotor Policies via Partial Denoising

Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma

C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation

Guoxin Chen, Minpeng Liao, Peiying Yu, Dingmin Wang, Zile Qiao

A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing

Yu Chen, Jing Lian, Zhaofei Yu, Jizhao Liu, Jisheng Dang

Learning with Selectively Labeled Data from Multiple Decision-makers

Jian Chen, Zhehao Li, Xiaojie Mao

Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities

Yifang Chen, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song

Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation

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

Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems

Botao Chen, Jongyeong Lee, Junya Honda

Contrastive Localized Language-Image Pre-Training

Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner

Language Models as Implicit Tree Search

Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang

Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging

Weiyu Chen, James Kwok

ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning

Zhaorun Chen, Mintong Kang, Bo Li

RelGNN: Composite Message Passing for Relational Deep Learning

Tianlang Chen, Charilaos Kanatsoulis, Jure Leskovec

Visual Generation Without Guidance

Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su

Cross-City Latent Space Alignment for Consistency Region Embedding

Meng Chen, Hongwei Jia, Zechen Li, Wenzhen Jia, KAI ZHAO

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Xu Chen

A Variational Framework for Improving Naturalness in Generative Spoken Language Models

Li-Wei Chen, Takuya Higuchi, Zakaria Aldeneh, Ahmed Hussen Abdelaziz, Alexander Rudnicky

AffinityFlow: Guided Flows for Antibody Affinity Maturation

Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance

Yongchao Chen, Yilun Hao, Yueying Liu, Yang Zhang, Chuchu Fan

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning

Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

Masked Autoencoders Are Effective Tokenizers for Diffusion Models

Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang

Volume-Aware Distance for Robust Similarity Learning

Shuo Chen, Chen Gong, Jun Li, Jian Yang

GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder

Shiming Chen, Dingjie Fu, Salman Khan, Fahad Shahbaz Khan

RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding

Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh

Low-Rank Adapting Models for Sparse Autoencoders

Matthew Chen, Joshua Engels, Max Tegmark

Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization

Jianting Chen

Exogenous Isomorphism for Counterfactual Identifiability

Yikang Chen, Dehui Du

KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors

Benson Chen, Tomasz Danel, Gabriel H. S. Dreiman, Patrick J. Mcenaney, Nikhil Jain

SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning

Jinpeng Chen, Runmin Cong, Yuzhi Zhao, Hongzheng Yang, Guangneng Hu

Scalable Private Partition Selection via Adaptive Weighting

Justin Y. Chen, Vincent Cohen-Addad, Alessandro Epasto, Morteza Zadimoghaddam

DLP: Dynamic Layerwise Pruning in Large Language Models

Yuli Chen, Bo Cheng, Jiale Han, Yingying Zhang, Yingting Li

How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction

Jun Chen, Hong Chen, Yonghua Yu, Yiming Ying

Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs

Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin

Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation

Yixin Chen, Wenjing Chen, Alan Kuhnle

PASS: Private Attributes Protection with Stochastic Data Substitution

Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Tarek F. Abdelzaher

Exploring Invariance in Images through One-way Wave Equations

Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng

A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle

Yu Chen, Nathalia Céspedes, Payam Barnaghi

On the Power of Learning-Augmented Search Trees

Jingbang Chen, Xinyuan Cao, Alicia Stepin, Li Chen

Subobject-level Image Tokenization

Delong Chen, Samuel Cahyawijaya, Jianfeng Liu, Baoyuan Wang, Pascale Fung

Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration

Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong

Learning Safety Constraints for Large Language Models

Xin Chen, Yarden As, Andreas Krause

De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs

Samantha Chen, Pankaj K Agarwal, Yusu Wang

LEVIS: Large Exact Verifiable Input Spaces for Neural Networks

Mohamad Fares El Hajj Chehade, Wenting Li, Brian Wesley Bell, Russell Bent, Saif R. Kazi

Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time

Mohamad Fares El Hajj Chehade, Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy, Dinesh Manocha

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

Hila Chefer, Uriel Singer, Amit Zohar, Yuval Kirstain, Adam Polyak

Upcycling Text-to-Image Diffusion Models for Multi-Task Capabilities

Ruchika Chavhan, Abhinav Mehrotra, Malcolm Chadwick, Alberto Gil Couto Pimentel Ramos, Luca Morreale

A Closer Look at Multimodal Representation Collapse

ABHRA CHAUDHURI, Anjan Dutta, Tu Bui, Serban Georgescu

Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics

Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas

Text-to-LoRA: Instant Transformer Adaption

Rujikorn Charakorn, Edoardo Cetin, Yujin Tang, Robert Tjarko Lange

Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*

Ayman Chaouki, Jesse Read, Albert Bifet

Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance

Guoqing Chao, Zhenghao Zhang, Lei Meng, Jie Wen, Dianhui Chu

Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection

Gengshuo Chang, Wei Zhang, Lehan Zhang

LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models

Jinho Chang, Jong Chul Ye

LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models

Tzu-Tao Chang, Shivaram Venkataraman

LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation

Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang

A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment

Edward Y Chang

Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions

Yik Siu Chan, Narutatsu Ri, Yuxin Xiao, Marzyeh Ghassemi

RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning

Jason Chan, Robert J. Gaizauskas, Zhixue Zhao

A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks

Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay

Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables

Arhit Chakrabarti, Yang Ni, Debdeep Pati, Bani Mallick

SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval

Nikolaos Chaidos, Angeliki Dimitriou, Maria Lymperaiou, Giorgos Stamou

TabSDS: a Lightweight, Fully Non-Parametric, and Model Free Approach for Generating Synthetic Tabular Data

Elias Chaibub Neto

On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness

Junyi Chai, Taeuk Jang, Jing Gao, Xiaoqian Wang

Transfer Q-Learning with Composite MDP Structures

Jinhang Chai, Elynn Chen, Lin Yang

Variational Learning of Fractional Posteriors

Kian Ming A. Chai, Edwin V. Bonilla

Large Language Models to Diffusion Finetuning

Edoardo Cetin, Tianyu Zhao, Yujin Tang

Tackling View-Dependent Semantics in 3D Language Gaussian Splatting

Jiazhong Cen, Xudong Zhou, Jiemin Fang, Changsong Wen, Lingxi Xie

A Mathematical Framework for AI-Human Integration in Work

L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

DIME: Diffusion-Based Maximum Entropy Reinforcement Learning

Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek

The impact of uncertainty on regularized learning in games

Pierre-Louis Cauvin, Davide Legacci, Panayotis Mertikopoulos

A Theoretical Framework For Overfitting In Energy-based Modeling

Giovanni Catania, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

Discovering Symbolic Cognitive Models from Human and Animal Behavior

Pablo Samuel Castro, Nenad Tomasev, Ankit Anand, Navodita Sharma, Rishika Mohanta

Low-Rank Thinning

Annabelle Michael Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey

Signed Laplacians for Constrained Graph Clustering

John Stewart Fabila Carrasco, He Sun

AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses

Nicholas Carlini, Edoardo Debenedetti, Javier Rando, Milad Nasr, Florian Tramer

AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling

Alexander Capstick, Rahul Krishnan, Payam Barnaghi

Learning Safe Control via On-the-Fly Bandit Exploration

Alexandre Capone, Ryan Kazuo Cosner, Aaron Ames, Sandra Hirche

Prediction-Aware Learning in Multi-Agent Systems

Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Oliviero Durmus

MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product

Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, Wei Wang

Open-Det: An Efficient Learning Framework for Open-Ended Detection

Guiping Cao, Tao Wang, Wenjian Huang, Xiangyuan Lan, Jianguo Zhang

CtrlSynth: Controllable Image Text Synthesis for Data-Efficient Multimodal Learning

Qingqing Cao, Mahyar Najibi, Sachin Mehta

AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality Assessment

Yuqin Cao, Xiongkuo Min, Yixuan Gao, Wei Sun, Guangtao Zhai

Adversarial Robust Generalization of Graph Neural Networks

Chang Cao, Han Li, Yulong Wang, Rui Wu, Hong Chen

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies

Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi

EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation

Jiawei Cao, Chaochen Gu, Hao Cheng, Xiaofeng Zhang, Kaijie Wu

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow

Zhonglin Cao, Mario Geiger, Allan Dos Santos Costa, Danny Reidenbach, Karsten Kreis

From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs

Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain

Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks

Yuhang Cai, Kangjie Zhou, Jingfeng Wu, Song Mei, Michael Lindsey

Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection

Jinyu Cai, Yunhe Zhang, Fusheng Liu, See-Kiong Ng

Self-Discriminative Modeling for Anomalous Graph Detection

Jinyu Cai, Yunhe Zhang, Jicong Fan

Understanding the Limits of Deep Tabular Methods with Temporal Shift

Haorun Cai, Han-Jia Ye

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts

Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu

Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity

Jian-Feng CAI, Zhuozhi Xian, Jiaxi Ying

Attention-Level Speculation

Jack Cai, Ammar Vora, Randolph Zhang, Mark O’Connor, Mark C. Jeffrey

Targeted Unlearning with Single Layer Unlearning Gradient

Zikui Cai, Yaoteng Tan, M. Salman Asif

Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism

Haoyuan Cai, Zhenghao Peng, Bolei Zhou