ICML 2025

3,330 papers

Otter: Generating Tests from Issues to Validate SWE Patches

Toufique Ahmed, Jatin Ganhotra, Rangeet Pan, Avraham Shinnar, Saurabh Sinha

Online Laplacian-Based Representation Learning in Reinforcement Learning

Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi

Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics

Mohamad Al Ahdab, John Leth, Zheng-Hua Tan

Understanding the difficulties of posterior predictive estimation

Abhinav Agrawal, Justin Domke

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch

Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco Ruiz

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits

Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement

Pranjal Aggarwal, Bryan Parno, Sean Welleck

Proto Successor Measure: Representing the Behavior Space of an RL Agent

Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang

The Missing Alignment Link of In-context Learning on Sequences

Harshvardhan Agarwal, Sunita Sarawagi

FedECADO: A Dynamical System Model of Federated Learning

Aayushya Agarwal, Gauri Joshi, Lawrence Pileggi

Optimal Fair Learning Robust to Adversarial Distribution Shift

Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram

Design Considerations in Offline Preference-based RL

Alekh Agarwal, Christoph Dann, Teodor Vanislavov Marinov

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry

Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou

From Mechanistic Interpretability to Mechanistic Biology: Training, Evaluating, and Interpreting Sparse Autoencoders on Protein Language Models

Etowah Adams, Liam Bai, Minji Lee, Yiyang Yu, Mohammed AlQuraishi

An in depth look at the Procrustes-Wasserstein distance: properties and barycenters

Davide Adamo, Marco Corneli, Manon Vuillien, Emmanuelle Vila

Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo

Idan Achituve, Hai Victor Habi, Amir Rosenfeld, Arnon Netzer, Idit Diamant

Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data

Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S Dhillon

Star Attention: Efficient LLM Inference over Long Sequences

Shantanu Acharya, Fei Jia, Boris Ginsburg

EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities

Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Roman Abramov, Felix Steinbauer, Gjergji Kasneci

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Samira Abnar, Harshay Shah, Dan Busbridge, Alaaeldin El-Nouby, Joshua M. Susskind

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging

Pierre Ablin, Angelos Katharopoulos, Skyler Seto, David Grangier

Consensus Is All You Get: The Role of Attention in Transformers

Álvaro Rodrı́guez Abella, João Pedro Silvestre, Paulo Tabuada

Task Generalization with Autoregressive Compositional Structure: Can Learning from D Tasks Generalize to D^T Tasks?

Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen, Hongzhou Lin, Jingzhao Zhang

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

Marwa Abdulhai, Isadora White, Charlie Victor Snell, Charles Sun, Joey Hong

Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation

Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine M. Aboussalah, Michalis Vazirgiannis

Improved Approximations for Hard Graph Problems using Predictions

Anders Aamand, Justin Y. Chen, Siddharth Gollapudi, Sandeep Silwal, Hao Wu

Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition

Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka

Lightweight Protocols for Distributed Private Quantile Estimation

Anders Aamand, Fabrizio Boninsegna, Abigail Gentle, Jacob Imola, Rasmus Pagh

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders

Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer