ICML 2025

3,330 papers

Learning with Exact Invariances in Polynomial Time

Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet

Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity

Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee

Conformal Prediction as Bayesian Quadrature

Jake C. Snell, Thomas L. Griffiths

Private Model Personalization Revisited

Conor Snedeker, Xinyu Zhou, Raef Bassily

Risk-Sensitive Theory of Mind: Coordinating with Agents of Unknown Bias using Cumulative Prospect Theory

Mason O. Smith, Wenlong Zhang

Functional Alignment Can Mislead: Examining Model Stitching

Damian Smith, Harvey Mannering, Antonia Marcu

In-Context Denoising with One-Layer Transformers: Connections between Attention and Associative Memory Retrieval

Matthew Smart, Alberto Bietti, Anirvan M. Sengupta

Feynman-Kac Correctors in Diffusion: Annealing, Guidance, and Product of Experts

Marta Skreta, Tara Akhound-Sadegh, Viktor Ohanesian, Roberto Bondesan, Alan Aspuru-Guzik

Improving the Diffusability of Autoencoders

Ivan Skorokhodov, Sharath Girish, Benran Hu, Willi Menapace, Yanyu Li

Layer by Layer: Uncovering Hidden Representations in Language Models

Oscar Skean, Md Rifat Arefin, Dan Zhao, Niket Nikul Patel, Jalal Naghiyev

Geometric Algebra Planes: Convex Implicit Neural Volumes

Irmak Sivgin, Sara Fridovich-Keil, Gordon Wetzstein, Mert Pilanci

A General Framework for Inference-time Scaling and Steering of Diffusion Models

Raghav Singhal, Zachary Horvitz, Ryan Teehan, Mengye Ren, Zhou Yu

Test-Time Canonicalization by Foundation Models for Robust Perception

Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash

"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift

Harvineet Singh, Fan Xia, Alexej Gossmann, Andrew Chuang, Julian C. Hong

Efficiently Serving Large Multimodal Models Using EPD Disaggregation

Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing

Strategy Coopetition Explains the Emergence and Transience of In-Context Learning

Aaditya K Singh, Ted Moskovitz, Sara Dragutinović, Felix Hill, Stephanie C.Y. Chan

Avoiding spurious sharpness minimization broadens applicability of SAM

Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann Dauphin

Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning

Ankit Pratap Singh, Ahmed Ali Abbasi, Namrata Vaswani

VCT: Training Consistency Models with Variational Noise Coupling

Gianluigi Silvestri, Luca Ambrogioni, Chieh-Hsin Lai, Yuhta Takida, Yuki Mitsufuji

Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in W2-distance

Marta Gentiloni Silveri, Antonio Ocello

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning

Thalles Silva, Helio Pedrini, Adı́n Ramı́rez Rivera

Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It

Marvin F. Da Silva, Felix Dangel, Sageev Oore

EvoPress: Accurate Dynamic Model Compression via Evolutionary Search

Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic, Dan Alistarh

Variational Phylogenetic Inference with Products over Bipartitions

Evan Sidrow, Alexandre Bouchard-côté, Lloyd T Elliott

Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications

Maria Despoina Siampou, Jialiang Li, John Krumm, Cyrus Shahabi, Hua Lu

CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations

Haotian Si, Changhua Pei, Jianhui Li, Dan Pei, Gaogang Xie

Probabilistic Factorial Experimental Design for Combinatorial Interventions

Divya Shyamal, Jiaqi Zhang, Caroline Uhler

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models

Alina Shutova, Vladimir Malinovskii, Vage Egiazarian, Denis Kuznedelev, Denis Mazur

Predictive Data Selection: The Data That Predicts Is the Data That Teaches

Kashun Shum, Yuzhen Huang, Hongjian Zou, Qi Ding, YiXuan Liao

Refining Adaptive Zeroth-Order Optimization at Ease

YAO SHU, Qixin Zhang, Kun He, Zhongxiang Dai

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models

YAO SHU, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu

Diversified Flow Matching with Translation Identifiability

Sagar Shrestha, Xiao Fu

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D Doan

Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions

Supratim Shit, Gurmehak Kaur Chadha, Surendra Kumar, Bapi Chatterjee

Statistical Test for Feature Selection Pipelines by Selective Inference

Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi

Tokenized Bandit for LLM Decoding and Alignment

Suho Shin, Chenghao Yang, Haifeng Xu, MohammadTaghi Hajiaghayi

Offline Model-based Optimization for Real-World Molecular Discovery

Dong-Hee Shin, Young-Han Son, Hyun Jung Lee, Deok-Joong Lee, Tae-Eui Kam

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

JunCheol Shin, Minsang Seok, Seonggon Kim, Eunhyeok Park

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference

Seungjun Shin, Jaehoon Oh, Dokwan Oh

Sassha: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation

Dahun Shin, Dongyeop Lee, Jinseok Chung, Namhoon Lee

Online Pre-Training for Offline-to-Online Reinforcement Learning

Yongjae Shin, Jeonghye Kim, Whiyoung Jung, Sunghoon Hong, Deunsol Yoon

Minimum Width for Universal Approximation using Squashable Activation Functions

Jonghyun Shin, Namjun Kim, Geonho Hwang, Sejun Park

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling

Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong

DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge

Liangliang Shi, Shenhui Zhang, Xingbo Du, Nianzu Yang, Junchi Yan

EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification

Zitong Shi, Guancheng Wan, Wenke Huang, Guibin Zhang, He Li

Direct Prediction Set Minimization via Bilevel Conformal Classifier Training

Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa

Targeted control of fast prototyping through domain-specific interface

Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu

LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos

Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning

Fan Shi, Bin Li, Xiangyang Xue

Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling

Xinxing Shi, Xiaoyu Jiang, Mauricio A Álvarez

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

Lucy Xiaoyang Shi, brian ichter, Michael Robert Equi, Liyiming Ke, Karl Pertsch

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning

Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models

Dachuan Shi, Yonggan Fu, Xiangchi Yuan, Zhongzhi Yu, Haoran You

Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations

Kexuan Shi, Hai Chen, Leheng Zhang, Shuhang Gu

Convergence of Policy Mirror Descent Beyond Compatible Function Approximation

Uri Sherman, Tomer Koren, Yishay Mansour

Counting atoms faster: policy-based nuclear magnetic resonance pulse sequencing for atomic abundance measurement

Rohan Shenoy, Evan Austen Coleman, Hans Gaensbauer, Elsa Olivetti

Learning Survival Distributions with the Asymmetric Laplace Distribution

Deming Sheng, Ricardo Henao

On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures

Wei Shen, Ruida Zhou, Jing Yang, Cong Shen

Zero-Shot Generalization of GNNs over Distinct Attribute Domains

Yangyi Shen, Jincheng Zhou, Beatrice Bevilacqua, Joshua Robinson, Charilaos Kanatsoulis

Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search

Maohao Shen, Guangtao Zeng, Zhenting Qi, Zhang-Wei Hong, Zhenfang Chen

Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning

Ao Shen, Mingzhi Yuan, Yingfan Ma, Jie Du, Qiao Huang

ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization

Wenhao Shen, Wanqi Yin, Xiaofeng Yang, Cheng Chen, Chaoyue Song

SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes

Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen

Privacy-Shielded Image Compression: Defending Against Exploitation from Vision-Language Pretrained Models

Xuelin Shen, Jiayin Xu, Kangsheng Yin, Wenhan Yang

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen

BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly

Yan Shen, Ruihai Wu, Yubin Ke, Xinyuan Song, Zeyi Li

Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization

Yang Shen, Xiu-Shen Wei, Yifan Sun, Yuxin Song, Tao Yuan

Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model

Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang

Algorithms with Calibrated Machine Learning Predictions

Judy Hanwen Shen, Ellen Vitercik, Anders Wikum

Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision

Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu

Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security

Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang

Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment

Yunyi Shen, Hao Sun, Jean-Francois Ton

Compositional Flows for 3D Molecule and Synthesis Pathway Co-design

Tony Shen, Seonghwan Seo, Ross Irwin, Kieran Didi, Simon Olsson

PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction

Liming Shen, Liang Deng, Chongke Bi, Yu Wang, Xinhai Chen

X-Hacking: The Threat of Misguided AutoML

Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, Eyke Hüllermeier, Sebastian Josef Vollmer

MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters

Arsalan Sharifnassab, Saber Salehkaleybar, Richard S. Sutton

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning

Ron Shapira Weber, Shahar Benishay, Andrey Lavrinenko, Shahaf E. Finder, Oren Freifeld

Should Decision-Makers Reveal Classifiers in Online Strategic Classification?

Han Shao, Shuo Xie, Kunhe Yang

Continuous Visual Autoregressive Generation via Score Maximization

Chenze Shao, Fandong Meng, Jie Zhou

Do Multiple Instance Learning Models Transfer?

Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu

LongRoPE2: Near-Lossless LLM Context Window Scaling

Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans

Ashkan Shahbazi, Elaheh Akbari, Darian Salehi, Xinran Liu, Navid Naderializadeh

SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors

Saumya Gaurang Shah, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy, Vikramank Singh

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion

Kulin Shah, Alkis Kalavasis, Adam Klivans, Giannis Daras

Confounder-Free Continual Learning via Recursive Feature Normalization

Yash Shah, Camila Gonzalez, Mohammad H. Abbasi, Qingyu Zhao, Kilian M. Pohl

GeoPixel: Pixel Grounding Large Multimodal Model in Remote Sensing

Akashah Shabbir, Mohammed Zumri, Mohammed Bennamoun, Fahad Shahbaz Khan, Salman Khan

Scaling Test-Time Compute Without Verification or RL is Suboptimal

Amrith Setlur, Nived Rajaraman, Sergey Levine, Aviral Kumar

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Pratinav Seth, Michelle Lin, Brefo Dwamena Yaw, Jade Boutot, Mary Kang

Doubly Robust Conformalized Survival Analysis with Right-Censored Data

Matteo Sesia, Vladimir Svetnik

Zebra: In-Context Generative Pretraining for Solving Parametric PDEs

Louis Serrano, Armand Kassaı̈ Koupaı̈, Thomas X Wang, Pierre Erbacher, Patrick Gallinari

Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching

Joan Serrà, R. Oguz Araz, Dmitry Bogdanov, Yuki Mitsufuji

Leveraging Per-Instance Privacy for Machine Unlearning

Nazanin Mohammadi Sepahvand, Anvith Thudi, Berivan Isik, Ashmita Bhattacharyya, Nicolas Papernot

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation

Hoigi Seo, Wongi Jeong, Jae-sun Seo, Se Young Chun

SEMU: Singular Value Decomposition for Efficient Machine Unlearning

Marcin Sendera, Łukasz Struski, Kamil Książek, Kryspin Musiol, Jacek Tabor

LLMs Can Reason Faster Only If We Let Them

Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin

Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching

Nabeel Seedat, Mihaela van der Schaar

Differentially Private Federated k-Means Clustering with Server-Side Data

Jonathan Scott, Christoph H. Lampert, David Saulpic

Cover learning for large-scale topology representation

Luis Scoccola, Uzu Lim, Heather A. Harrington

Learning Representations of Instruments for Partial Identification of Treatment Effects

Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus

The Disparate Benefits of Deep Ensembles

Kajetan Schweighofer, Adrian Arnaiz-Rodriguez, Sepp Hochreiter, Nuria M Oliver