ICML 2025

3,330 papers

Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning

Minqi Yu, Jinduo Liu, Junzhong Ji

MindCustomer: Multi-Context Image Generation Blended with Brain Signal

Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma

On the Adversarial Robustness of Multi-Kernel Clustering

Hao Yu, Weixuan Liang, Ke Liang, Suyuan Liu, Meng Liu

Density Ratio Estimation with Conditional Probability Paths

Hanlin Yu, Arto Klami, Aapo Hyvärinen, Anna Korba, Omar Chehab

Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples

Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, LIANHUI Qin

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules

Ziyang Yu, Wenbing Huang, Yang Liu

ResearchTown: Simulator of Human Research Community

Haofei Yu, Zhaochen Hong, Zirui Cheng, Kunlun Zhu, Keyang Xuan

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees

Xin Yu, Zelin He, Ying Sun, Lingzhou Xue, Runze Li

LLM Data Selection and Utilization via Dynamic Bi-level Optimization

Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang

Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation

Zhuohao Yu, Weizheng Gu, Yidong Wang, Xingru Jiang, Zhengran Zeng

Improving Compositional Generation with Diffusion Models Using Lift Scores

Chenning Yu, Sicun Gao

Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection

Peipeng Yu, Jianwei Fei, Hui Gao, Xuan Feng, Zhihua Xia

From Spectrum-free towards Baseline-view-free: Double-track Proximity Driven Multi-view Clustering

Shengju Yu, Zhibin Dong, Siwei Wang, Suyuan Liu, Ke Liang

Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead

Shengju Yu, Yiu-ming Cheung, Siwei Wang, Xinwang Liu, En Zhu

UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance

Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li

Radio: Rate–Distortion Optimization for Large Language Model Compression

Sean I. Young

Fully Heteroscedastic Count Regression with Deep Double Poisson Networks

Spencer Young, Porter Jenkins, Longchao Da, Jeff Dotson, Hua Wei

Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups

Weiqiu You, Helen Qu, Marco Gatti, Bhuvnesh Jain, Eric Wong

Effective and Efficient Masked Image Generation Models

Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou

Test-time Correlation Alignment

Linjing You, Jiabao Lu, Xiayuan Huang

Maximum Total Correlation Reinforcement Learning

Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz

Quadratic Upper Bound for Boosting Robustness

Euijin You, Hyang-Won Lee

ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization

Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson, Sungwoong Kim, Chang D. Yoo

Monte Carlo Tree Diffusion for System 2 Planning

Jaesik Yoon, Hyeonseo Cho, Doojin Baek, Yoshua Bengio, Sungjin Ahn

Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More

Geonhui Yoo, Minhak Song, Chulhee Yun

World Model Implanting for Test-time Adaptation of Embodied Agents

Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo

Interpreting the Repeated Token Phenomenon in Large Language Models

Itay Yona, Ilia Shumailov, Jamie Hayes, Yossi Gandelsman

Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift

Chao Ying, Jun Jin, Yi Guo, Xiudi Li, Muxuan Liang

CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models

Junbo Yin, Chao Zha, Wenjia He, Chencheng Xu, Xin Gao

Trajectory World Models for Heterogeneous Environments

Shaofeng Yin, Jialong Wu, Siqiao Huang, Xingjian Su, Xu He

Which Attention Heads Matter for In-Context Learning?

Kayo Yin, Jacob Steinhardt

A Recipe for Causal Graph Regression: Confounding Effects Revisited

Yujia Yin, Tianyi Qu, Zihao Wang, Yifan Chen

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models

Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang

TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction

Shi Yin, Xinyang Pan, Fengyan Wang, Lixin He

Constrain Alignment with Sparse Autoencoders

Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan

Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

Random Registers for Cross-Domain Few-Shot Learning

Shuai Yi, Yixiong Zou, Yuhua Li, Ruixuan Li

From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium

Xie Yi, Zhanke Zhou, Chentao Cao, Qiyu Niu, Tongliang Liu

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection

Huahui Yi, Wei Xu, Ziyuan Qin, Xi Chen, Xiaohu Wu

All-atom inverse protein folding through discrete flow matching

Kai Yi, Kiarash Jamali, Sjors HW Scheres

MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction

Yeyun Chen, Jiangming Shi

Relational Invariant Learning for Robust Solvation Free Energy Prediction

Yeyun Chen

A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment

Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu, Estelle Aflalo, VASUDEV LAL

Action-Constrained Imitation Learning

Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung Yen Wu

Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems

Huigen Ye, Hua Xu, An Yan, Yaoyang Cheng

Non-stationary Diffusion For Probabilistic Time Series Forecasting

Weiwei Ye, Zhuopeng Xu, Ning Gui

Towards Robust Influence Functions with Flat Validation Minima

Xichen Ye, Yifan Wu, Weizhong Zhang, Cheng Jin, Yifan Chen

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems

Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p

Shengbin Ye, Meng Li

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards

Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang

AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings

Yilin Ye, Junchao Huang, Xingchen Zeng, Jiazhi Xia, Wei Zeng

An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions

Yuhan Ye, Ying Cui, Jingyi Wang

Emotional Face-to-Speech

Jiaxin Ye, Boyuan Cao, Hongming Shan

Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs

Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury

Near Optimal Best Arm Identification for Clustered Bandits

Yash, Avishek Ghosh, Nikhil Karamchandani

Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation

Yaowen Hu, Wenxuan Tu, Yue Liu, Xinhang Wan, Junyi Yan

An Analysis for Reasoning Bias of Language Models with Small Initialization

Junjie Yao, Zhongwang Zhang, Zhi-Qin John Xu

Understanding Model Ensemble in Transferable Adversarial Attack

Wei Yao, Zeliang Zhang, Huayi Tang, Yong Liu

Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration

Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao

OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance

Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu

Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective

Yunzhen Yao, Lie He, Michael Gastpar

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization

Michael S Yao, James Gee, Osbert Bastani

Arrow: Accelerator for Time Series Causal Discovery with Time Weaving

Yuanyuan Yao, Yuan Dong, Lu Chen, Kun Kuang, Ziquan Fang

SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model

Zhao Yang, Jiwei Zhu, Bing Su

Preference Controllable Reinforcement Learning with Advanced Multi-Objective Optimization

Yucheng Yang, Tianyi Zhou, Mykola Pechenizkiy, Meng Fang

Enhancing Graph Invariant Learning from a Negative Inference Perspective

Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li

Neural Event-Triggered Control with Optimal Scheduling

Luan Yang, Jingdong Zhang, Qunxi Zhu, Wei LIN

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning

Yafei YANG, Zihui Zhang, Bo Yang

Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger

Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye

When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration

Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou

HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder

Qi Yang, Le Yang, Geert Van Der Auwera, Zhu Li

Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning

Zhihe Yang, Yunjian Xu, Yang Zhang

Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation

Yang Yang, Haonan Xu

One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation

Xiaoyu Yang, Lijian Xu, hongsheng Li, Shaoting Zhang

DVI:A Derivative-based Vision Network for INR

Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios

Xihong Yang, Siwei Wang, Fangdi Wang, Jiaqi Jin, Suyuan Liu

Non-asymptotic Error Bounds in W_2-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity

Bin Yang, Xiaojie Wang

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning

Puning Yang, qizhou wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang

Efficient Quantification of Multimodal Interaction at Sample Level

Zequn Yang, Hongfa Wang, Di Hu

Variance as a Catalyst: Efficient and Transferable Semantic Erasure Adversarial Attack for Customized Diffusion Models

Jiachen Yang, Yusong Wang, Yanmei Fang, Yunshu Dai, Fangjun Huang

Dimension-Free Adaptive Subgradient Methods with Frequent Directions

Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang

Mixture of Experts Made Intrinsically Interpretable

Xingyi Yang, Constantin Venhoff, Ashkan Khakzar, Christian Schroeder de Witt, Puneet K. Dokania

Neural Guided Diffusion Bridges

Gefan Yang, Frank Van Der Meulen, Stefan Sommer

Demystifying Long Chain-of-Thought Reasoning

Shiming Yang, Yuxuan Tong, Xinyao Niu, Graham Neubig, Xiang Yue

One-Shot Heterogeneous Federated Learning with Local Model-Guided Diffusion Models

Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue

PENCIL: Long Thoughts with Short Memory

Chenxiao Yang, Nathan Srebro, David Mcallester, Zhiyuan Li

HaploVL: A Single-Transformer Baseline for Multi-Modal Understanding

Rui Yang, Lin Song, Yicheng Xiao, Runhui Huang, Yixiao Ge

On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning

Yi-Rui Yang, Chang-Wei Shi, Wu-jun Li

Concept-Centric Token Interpretation for Vector-Quantized Generative Models

Tianze Yang, Yucheng Shi, Mengnan Du, Xuansheng Wu, Qiaoyu Tan

Sharp Generalization for Nonparametric Regression by Over-Parameterized Neural Networks: A Distribution-Free Analysis in Spherical Covariate

Yingzhen Yang

CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging

Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao

SCISSOR: Mitigating Semantic Bias through Cluster-Aware Siamese Networks for Robust Classification

Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training

Chenyi Yang, Wenjie Nie, Yuxin Zhang, Yuhang Wu, Xiawu Zheng

KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies

Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov

MoMa: Modulating Mamba for Adapting Image Foundation Models to Video Recognition

Yuhuan Yang, Chaofan Ma, Zhenjie Mao, Jiangchao Yao, Ya Zhang

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu

Do We Really Need Message Passing in Brain Network Modeling?

Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang

ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling

Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang

Let LLM Tell What to Prune and How Much to Prune

Mingzhe Yang, Sihao Lin, Changlin Li, Xiaojun Chang

Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering

Xin Yang, Xingrun Li, Heng Chang, Yang Jinze, Xihong Yang