ICML 2025

3,330 papers

EasyInv: Toward Fast and Better DDIM Inversion

Ziyue Zhang, Mingbao Lin, Shuicheng Yan, Rongrong Ji

Learning Curves of Stochastic Gradient Descent in Kernel Regression

Haihan Zhang, Weicheng Lin, Yuanshi Liu, Cong Fang

From Weight-Based to State-Based Fine-Tuning: Further Memory Reduction on LoRA with Parallel Control

Chi Zhang, REN Lianhai, Jingpu Cheng, Qianxiao Li

Adaptive Self-improvement LLM Agentic System for ML Library Development

Genghan Zhang, Weixin Liang, Olivia Hsu, Kunle Olukotun

Multiobjective distribution matching

Xiaoyuan Zhang, Peijie Li, Yingying Yu, Yichi Zhang, Han Zhao

Rhomboid Tiling for Geometric Graph Deep Learning

Yipeng Zhang, Longlong Li, Kelin Xia

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing

Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu

Online Differentially Private Conformal Prediction for Uncertainty Quantification

Qiangqiang Zhang, ting li, Xinwei Feng, Xiaodong Yan, Jinhan Xie

On Exact Bit-level Reversible Transformers Without Changing Architecture

Guoqiang Zhang, JP Lewis, W. Bastiaan Kleijn

Joker: Joint Optimization Framework for Lightweight Kernel Machines

Junhong Zhang, Zhihui Lai

MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning

Jingfeng ZHANG, Prashanth Krishnamurthy, Naman Patel, Anthony Tzes, Farshad Khorrami

LLMScan: Causal Scan for LLM Misbehavior Detection

Mengdi Zhang, Goh Kai Kiat, Peixin Zhang, Jun Sun, Lin Xin Rose

Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation

Guoqing Zhang, Shichao Kan, Fanghui Zhang, Wanru Xu, Yue Zhang

Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization

Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang

Minimalist Concept Erasure in Generative Models

Yang Zhang, Er Jin, Yanfei Dong, Yixuan Wu, Philip Torr

TLLC: Transfer Learning-based Label Completion for Crowdsourcing

Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning

Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang

High Dynamic Range Novel View Synthesis with Single Exposure

Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization

Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia wei, Jun Zhu

Testing Conditional Mean Independence Using Generative Neural Networks

Yi Zhang, Linjun Huang, Yun Yang, Xiaofeng Shao

Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints

Qixin Zhang, Wei Huang, Can Jin, Puning Zhao, YAO SHU

Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level

Siqi Zhang, Xing Huang, Feihu Huang

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems

Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li

Training Diffusion-based Generative Models with Limited Data

Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán McLoone

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning

Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li

Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference

Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent

Jianke Zhang, Yanjiang Guo, Yucheng Hu, Xiaoyu Chen, Xiang Zhu

MimicMotion: High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance

Yuang Zhang, Jiaxi Gu, Li-Wen Wang, Han Wang, Junqi Cheng

Hardware and Software Platform Inference

Cheng Zhang, Hanna Foerster, Robert D. Mullins, Yiren Zhao, Ilia Shumailov

TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data

Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

yuan zhang, Chun-Kai Fan, Junpeng Ma, Wenzhao Zheng, Tao Huang

Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation

Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li

Scaling Probabilistic Circuits via Monarch Matrices

Honghua Zhang, Meihua Dang, Benjie Wang, Stefano Ermon, Nanyun Peng

Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations

Lily H Zhang, Hamid Dadkhahi, Mara Finkelstein, Firas Trabelsi, Jiaming Luo

Unconstrained Robust Online Convex Optimization

Jiujia Zhang, Ashok Cutkosky

Primitive Vision: Improving Diagram Understanding in MLLMs

Shan Zhang, Aotian Chen, Yanpeng Sun, Jindong Gu, Yi-Yu Zheng

Fast Video Generation with Sliding Tile Attention

Peiyuan Zhang, Yongqi Chen, Runlong Su, Hangliang Ding, Ion Stoica

Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback

Zihan Zhang, Yuxin Chen, Jason D. Lee, Simon Shaolei Du, Ruosong Wang

Structure-Guided Large Language Models for Text-to-SQL Generation

Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang

When do neural networks learn world models?

Tianren Zhang, Guanyu Chen, Feng Chen

When Maximum Entropy Misleads Policy Optimization

Ruipeng Zhang, Ya-Chien Chang, Sicun Gao

Ad Hoc Teamwork via Offline Goal-Based Decision Transformers

Xinzhi Zhang, Hohei Chan, Deheng Ye, Yi Cai, Mengchen Zhao

CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty

Harry Zhang, Luca Carlone

Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos

Tianyi Zhang, Yu Cao, Dianbo Liu

CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering

Zhe Zhang, Mingxiu Cai, Hanxiao Wang, Gaochang Wu, Tianyou Chai

Nonparametric Teaching for Graph Property Learners

Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik Chung Wu

Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion

Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang, Jian-Feng CAI

LEMoN: Label Error Detection using Multimodal Neighbors

Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu

Expected Variational Inequalities

Brian Hu Zhang, Ioannis Anagnostides, Emanuel Tewolde, Ratip Emin Berker, Gabriele Farina

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation

Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

SPRI: Aligning Large Language Models with Context-Situated Principles

Hongli Zhan, Muneeza Azmat, Raya Horesh, Junyi Jessy Li, Mikhail Yurochkin

Normalizing Flows are Capable Generative Models

Shuangfei Zhai, Ruixiang ZHANG, Preetum Nakkiran, David Berthelot, Jiatao Gu

Contextures: Representations from Contexts

Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter

Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying

Songlin Zhai, Yuan Meng, Yongrui Chen, Yiwei Wang, Guilin Qi

EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations

Haotian Zhai, Connor Lawless, Ellen Vitercik, Liu Leqi

Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding

Yixin Zha, Chuxin Wang, Wenfei Yang, Tianzhu Zhang, Feng Wu

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets

Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli

VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data

Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae

LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection

Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody

Graph Diffusion for Robust Multi-Agent Coordination

Xianghua Zeng, Hang Su, Zhengyi Wang, Zhiyuan Lin

Parametric Scaling Law of Tuning Bias in Conformal Prediction

Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei

Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness

Shuang Zeng, Yunwen Lei

Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning

Hui Zeng, Wenke Huang, Tongqing Zhou, Xinyi Wu, Guancheng Wan

TabFlex: Scaling Tabular Learning to Millions with Linear Attention

Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C Mueller

AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models

Yaopei Zeng, Yuanpu Cao, Bochuan Cao, Yurui Chang, Jinghui Chen

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone

Regress, Don’t Guess: A Regression-like Loss on Number Tokens for Language Models

Jonas Zausinger, Lars Pennig, Anamarija Kozina, Sean Sdahl, Julian Sikora

Adaptive Data Collection for Robust Learning Across Multiple Distributions

Chengbo Zang, Mehmet Kerem Turkcan, Gil Zussman, Zoran Kostic, Javad Ghaderi

Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents

Karina Zainullina, Alexander Golubev, Maria Trofimova, Sergei Polezhaev, Ibragim Badertdinov

Interpreting CLIP with Hierarchical Sparse Autoencoders

Vladimir Zaigrajew, Hubert Baniecki, Przemyslaw Biecek

Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization

Taeyoung Yun, Kiyoung Om, Jaewoo Lee, Sujin Yun, Jinkyoo Park

Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space

Xihang Yue, Yi Yang, Linchao Zhu

Optimal Information Retention for Time-Series Explanations

Jinghang Yue, Jing Wang, Lu Zhang, Shuo Zhang, Da Li

ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation

Angxiao Yue, Zichong Wang, Hongteng Xu

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations

Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su

Provably Efficient Exploration in Inverse Constrained Reinforcement Learning

Bo Yue, Jian Li, Guiliang Liu

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning

Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao

Efficient Long Context Fine-tuning with Chunk Flow

Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu

Reinforce LLM Reasoning through Multi-Agent Reflection

Yurun Yuan, Tengyang Xie

Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters

Lixin Yuan, Yirui Wu, Wenxiao Zhang, Minglei Yuan, Jun Liu

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou

Protein Structure Tokenization: Benchmarking and New Recipe

Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala

How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees

Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing

Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian

MARS: Unleashing the Power of Variance Reduction for Training Large Models

Huizhuo Yuan, Yifeng Liu, Shuang Wu, Zhou Xun, Quanquan Gu

Omni-Angle Assault: An Invisible and Powerful Physical Adversarial Attack on Face Recognition

Shuai Yuan, Hongwei Li, Rui Zhang, Hangcheng Cao, Wenbo Jiang

Deep Streaming View Clustering

Honglin Yuan, Xingfeng Li, Jian Dai, Xiaojian You, Yuan Sun

Free Process Rewards without Process Labels

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal

Deheng Yuan, Tao GUO, Zhongyi Huang

Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis

Ruoxin Yuan, Guanhua Fang

Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment

Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang

OrcaLoca: An LLM Agent Framework for Software Issue Localization

Zhongming Yu, Hejia Zhang, Yujie Zhao, Hanxian Huang, Matrix Yao

TS-SNN: Temporal Shift Module for Spiking Neural Networks

Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang

Continuous Semi-Implicit Models

Longlin Yu, Jiajun Zha, Tong Yang, Tianyu Xie, Xiangyu Zhang

R.I.P.: Better Models by Survival of the Fittest Prompts

Ping Yu, Weizhe Yuan, Olga Golovneva, Tianhao Wu, Sainbayar Sukhbaatar

Beyond Self-Interest: How Group Strategies Reshape Content Creation in Recommendation Platforms?

Yaolong Yu, Fan Yao, Sinno Jialin Pan

Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization

Zishun Yu, Tengyu Xu, Di Jin, Karthik Abinav Sankararaman, Yun He

MTL-UE: Learning to Learn Nothing for Multi-Task Learning

Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang

Optimal and Practical Batched Linear Bandit Algorithm

Sanghoon Yu, Min-hwan Oh

Ultra-Resolution Adaptation with Ease

Ruonan Yu, Songhua Liu, Zhenxiong Tan, Xinchao Wang