ICML 2025

3,330 papers

Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling

Shuqi Lu, Xiaohong Ji, Bohang Zhang, Lin Yao, Siyuan Liu

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting

Jiecheng Lu, Xu Han, Yan Sun, Shihao Yang

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

Renhao Lu

Aligning Protein Conformation Ensemble Generation with Physical Feedback

Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurélie Lozano, Vijil Chenthamarakshan

Navigating Conflicting Views: Harnessing Trust for Learning

Jueqing Lu, Wray Buntine, Yuanyuan Qi, Joanna Dipnall, Belinda Gabbe

Super Deep Contrastive Information Bottleneck for Multi-modal Clustering

Zhengzheng Lou, Ke ZHANG, Yucong Wu, Shizhe Hu

A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method

Zhengzheng Lou, Hang Xue, Chaoyang Zhang, Shizhe Hu

AAAR-1.0: Assessing AI’s Potential to Assist Research

Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi

SAE-V: Interpreting Multimodal Models for Enhanced Alignment

Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang

STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification

Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Jie Lei

Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging

Ansgar Lößer, Max Schlecht, Florian Schintke, Joel Witzke, Matthias Weidlich

Contour Integration Underlies Human-Like Vision

Ben Lonnqvist, Elsa Scialom, Abdülkadir Gökce, Zehra Merchant, Michael Herzog

Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation

Da Long, Zhitong Xu, Guang Yang, Akil Narayan, Shandian Zhe

BDC-CLIP: Brownian Distance Covariance for Adapting CLIP to Action Recognition

Fei Long, Xiaoou Li, Jiaming Lv, Haoyuan Yang, Xianjun Cheng

Hessian Geometry of Latent Space in Generative Models

Alexander Lobashev, Dmitry Guskov, Maria Larchenko, Mikhail Tamm

Token Coordinated Prompt Attention is Needed for Visual Prompting

Zichen Liu, Xu Zou, Gang Hua, Jiahuan Zhou

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes

Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin

Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization

Zijian Liu, Zhengyuan Zhou

BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation

Lian Liu, Xiandong Zhao, Guanchen Li, Dong Li, Mengdi Wang

NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics

Changshuo Liu, Lingze Zeng, Kaiping Zheng, Shaofeng Cai, Beng Chin Ooi

Efficient Federated Incomplete Multi-View Clustering

Suyuan Liu, Hao Yu, Hao Tan, Ke Liang, Siwei Wang

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery

Ning Liu, Yue Yu

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation

Jiayue Liu, Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Kuo Yang

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Siyang Liu, Han-Jia Ye

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei

Can Biologically Plausible Temporal Credit Assignment Rules Match BPTT for Neural Similarity? E-prop as an Example

Yuhan Helena Liu, Guangyu Robert Yang, Christopher J Cueva

BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution

Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo

La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation

Kai Liu, Bowen Xu, Shaoyu Wu, Xin Chen, Hao Zhou

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models

Peijie Liu, Fengli Xu, Yong Li

TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting

Qinglong Liu, Cong Xu, Wenhao Jiang, Kaixuan Wang, Lin Ma

Progressively Label Enhancement for Large Language Model Alignment

Biao Liu, Ning Xu, Xin Geng

TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging

Chuang Liu, Hongyan Xu, Yichao Cao, Xiu Su, Zhe Qu

Linear Q-Learning Does Not Diverge in L^2: Convergence Rates to a Bounded Set

Xinyu Liu, Zixuan Xie, Shangtong Zhang

Pixel2Feature Attack (P2FA): Rethinking the Perturbed Space to Enhance Adversarial Transferability

Renpu Liu, Hao Wu, Jiawei Zhang, Xin Cheng, Xiangyang Luo

An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning

Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting

Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai

Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer

Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu

FreeMesh: Boosting Mesh Generation with Coordinates Merging

Jian Liu, Haohan Weng, Biwen Lei, Xianghui Yang, Zibo Zhao

Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification

Shikang Liu, Chuyang Wei, Xiren Zhou, Huanhuan Chen

Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models

Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport

Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang

Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization

Deyuan Liu, Zecheng Wang, Bingning Wang, Weipeng Chen, Chunshan Li

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation

Chang Liu, Yixin Wang, Moontae Lee

Censor Dependent Variational Inference

Chuanhui Liu, Xiao Wang

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization

Duo Liu, Zhiquan Tan, Linglan Zhao, Zhongqiang Zhang, Xiangzhong Fang

AutoStep: Locally adaptive involutive MCMC

Tiange Liu, Nikola Surjanovic, Miguel Biron-Lattes, Alexandre Bouchard-côté, Trevor Campbell

Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling

Tianyu Liu, Kai Sun, Fuchun Sun, Yu Luo, Yuanlong Zhang

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis

Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C Yao

Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection

Kang-Jun Liu, Masanori Suganuma, Takayuki Okatani

CoMemo: LVLMs Need Image Context with Image Memory

Shi Liu, Weijie Su, Xizhou Zhu, Wenhai Wang, Jifeng Dai

Fast Estimation of Partial Dependence Functions using Trees

Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu

Efficient ANN-SNN Conversion with Error Compensation Learning

Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu

Scalable First-order Method for Certifying Optimal k-Sparse GLMs

Jiachang Liu, Soroosh Shafiee, Andrea Lodi

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

Zhihua Liu, Amrutha Saseendran, Lei Tong, Xilin He, Fariba Yousefi

PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS

Hongyi Liu, Rajarshi Saha, Zhen Jia, Youngsuk Park, Jiaji Huang

Accurate Identification of Communication Between Multiple Interacting Neural Populations

Belle Liu, Jacob Sacks, Matthew D. Golub

Generative Human Trajectory Recovery via Embedding-Space Conditional Diffusion

Kaijun Liu, Sijie Ruan, Liang Zhang, Cheng Long, Shuliang Wang

Principal-Agent Bandit Games with Self-Interested and Exploratory Learning Agents

Junyan Liu, Lillian J. Ratliff

Sundial: A Family of Highly Capable Time Series Foundation Models

Yong Liu, Guo Qin, Zhiyuan Shi, Zhi Chen, Caiyin Yang

Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint

Dan-Xuan Liu, Chao Qian

Deliberation in Latent Space via Differentiable Cache Augmentation

Luyang Liu, Jonas Pfeiffer, Jiaxing Wu, jun xie, arthur szlam

Permutation-Free High-Order Interaction Tests

Zhaolu Liu, Robert Peach, Mauricio Barahona

LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning

Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd

Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li

The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning

Jiashun Liu, Johan Obando-Ceron, Pablo Samuel Castro, Aaron Courville, Ling Pan

Nonconvex Theory of M-estimators with Decomposable Regularizers

Weiwei Liu

Efficient Robotic Policy Learning via Latent Space Backward Planning

Dongxiu Liu, Haoyi Niu, Zhihao Wang, Jinliang Zheng, Yinan Zheng

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets

Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang

Understanding the Unfairness in Network Quantization

Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan

Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals

Junyan Liu, Arnab Maiti, Artin Tajdini, Kevin Jamieson, Lillian J. Ratliff

OmniAudio: Generating Spatial Audio from 360-Degree Video

Huadai Liu, Tianyi Luo, Kaicheng Luo, Qikai Jiang, Peiwen Sun

Learning Soft Sparse Shapes for Efficient Time-Series Classification

Zhen Liu, Yicheng Luo, Boyuan Li, Emadeldeen Eldele, Min Wu

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai

XAttnMark: Learning Robust Audio Watermarking with Cross-Attention

Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli

Tractable Transformers for Flexible Conditional Generation

Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang

Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging

Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu

Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization

Zhangyi Liu, Feng Liu, RUI GAO, Shuang Li

am-ELO: A Stable Framework for Arena-based LLM Evaluation

Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen

Diving into Self-Evolving Training for Multimodal Reasoning

Wei Liu, Junlong Li, Xiwen Zhang, Fan Zhou, Yu Cheng

C2IQL: Constraint-Conditioned Implicit Q-learning for Safe Offline Reinforcement Learning

Zifan Liu, Xinran Li, Jun Zhang

Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding?

Ren-Biao Liu, Anqi Li, Chaoding Yang, Hui Sun, Ming Li

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

Yaoyang Liu, Junlin Li, Yinjun Wu, Zhen Chen

HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning

Chiqiang Liu, Dazi Li

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing

Tianci Liu, Ruirui Li, Zihan Dong, Hui LIU, Xianfeng Tang

Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping

Guangyi Liu, Suzan Iloglu, Michael Caldara, Joseph W Durham, Michael M. Zavlanos

What Makes In-context Learning Effective for Mathematical Reasoning

Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai

CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective

Jiayu Liu, Zhenya Huang, Wei Dai, cheng cheng, Jinze Wu

MissScore: High-Order Score Estimation in the Presence of Missing Data

Wenqin Liu, Haoze Hou, Erdun Gao, Biwei Huang, Qiuhong Ke

FlipAttack: Jailbreak LLMs via Flipping

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng

A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein

An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer

Lifu Liu, Shiyuan He, Jianhua Guo

Elucidating the design space of language models for image generation

Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang

Federated Node-Level Clustering Network with Cross-Subgraph Link Mending

Jingxin Liu, Renda Han, Wenxuan Tu, Haotian Wang, Junlong Wu

Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models

Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulić

Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse

Ryan Liu, Jiayi Geng, Addison J. Wu, Ilia Sucholutsky, Tania Lombrozo

Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network

Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang

Quantum Speedup for Hypergraph Sparsification

Chenghua Liu, Minbo Gao, Zhengfeng Ji, Mingsheng Ying

Learning Robust Neural Processes with Risk-Averse Stochastic Optimization

Huafeng Liu, Yiran Fu, Liping Jing, Hui Li, Shuyang Lin

Continual Reinforcement Learning by Planning with Online World Models

Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin