ICML

A Statistical Theory of Regularization-Based Continual Learning

Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

Comments Accepted by ICML 2024

Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control

Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo

Comments accepted to ICML 2024

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning

Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo

Comments accepted to ICML 2024

Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning

Takayuki Osa, Tatsuya Harada

Comments ICML 2024, 21 pages

Symmetric Matrix Completion with ReLU Sampling

Huikang Liu, Peng Wang, Longxiu Huang, Qing Qu, Laura Balzano

Comments 39 pages, 9 figures; This work has been accepted for publication in the Proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization

Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang

Comments Pruning image generator networks at initialization to alleviate overfitting

Journal ref International Conference on Machine Learning (ICML 2024)

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem

Comments ICML 2024

An Independence-promoting Loss for Music Generation with Language Models

Jean-Marie Lemercier, Simon Rouard, Jade Copet, Yossi Adi, Alexandre Défossez

Comments Accepted to ICML 2024

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

Divya Nori, Wengong Jin

Comments Accepted to ICML 2024

Liouville Flow Importance Sampler

Yifeng Tian, Nishant Panda, Yen Ting Lin

Comments 25 pages, 7 figures, 15 tables. Submitted to and accepted by the 41th International Conference on Machine Learning (Vienna, Austria)

Learning to Infer Generative Template Programs for Visual Concepts

R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie

Comments ICML 2024; Project page: https://rkjones4.github.io/template.html

BAGEL: Bootstrapping Agents by Guiding Exploration with Language

Shikhar Murty, Christopher Manning, Peter Shaw, Mandar Joshi, Kenton Lee

Comments ICML 2024 Camera ready version

Neural Operators with Localized Integral and Differential Kernels

Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar

Comments Accepted at 2024 International Conference on Machine Learning

Asymptotics of Learning with Deep Structured (Random) Features

Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro

Comments ICML camera-ready version

Refining Minimax Regret for Unsupervised Environment Design

Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob Foerster

Comments ICML 2024. The first two authors contributed equally

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling

Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi

Comments Accepted at ICML 2024

CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources

Sikha Pentyala, Mayana Pereira, Martine De Cock

Comments In Proceedings of the 41st International Conference on Machine Learning, 2024

Homomorphism Counts for Graph Neural Networks: All About That Basis

Emily Jin, Michael Bronstein, İsmail İlkan Ceylan, Matthias Lanzinger

Comments Proceedings of the Forty-First International Conference on Machine Learning (ICML 2024). Code available at: https://github.com/ejin700/hombasis-gnn

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization

Kwang-Sung Jun, Jungtaek Kim

Comments accepted to ICML'24; fixed typos

BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback

Gaurav Pandey, Yatin Nandwani, Tahira Naseem, Mayank Mishra, Guangxuan Xu, Dinesh Raghu, Sachindra Joshi, Asim Munawar, Ramón Fernandez Astudillo

Comments Accepted at ICML 2024 (main conference)

Stereographic Spherical Sliced Wasserstein Distances

Huy Tran, Yikun Bai, Abihith Kothapalli, Ashkan Shahbazi, Xinran Liu, Rocio Diaz Martin, Soheil Kolouri

Comments Published at ICML 2024 (Spotlight). Project page: https://abi-kothapalli.github.io/s3w/

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal

Comments ICML 2024 (Camera-ready); First two authors contributed equally; GitHub: https://github.com/dinobby/MAGDi

Improving Antibody Humanness Prediction using Patent Data

Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni

Comments ICML 2024, 14 pages, 6 figures, Code: https://github.com/AstraZeneca/SelfPAD

Conformal Prediction Sets Improve Human Decision Making

Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis

Comments Published at ICML 2024. Code available at https://github.com/layer6ai-labs/hitl-conformal-prediction

Contextual Feature Selection with Conditional Stochastic Gates

Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz, Maria Lavzin, Jackie Schiller, Gal Mishne, Hadas Benisty

Comments Accepted to ICML 2024

Sparse is Enough in Fine-tuning Pre-trained Large Language Models

Weixi Song, Zuchao Li, Lefei Zhang, Hai Zhao, Bo Du

Comments Accepted at ICML 2024 Spotlight

Learning High-Order Relationships of Brain Regions

Weikang Qiu, Huangrui Chu, Selena Wang, Haolan Zuo, Xiaoxiao Li, Yize Zhao, Rex Ying

Comments Accepted at ICML 2024, Camera Ready Version

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Kai Yan, Alexander G. Schwing, Yu-xiong Wang

Comments 25 pages. Accepted to ICML 2024

Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs

Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal, Goran Radanovic

Comments ICML 2024

Risk Aware Benchmarking of Large Language Models

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan Greenewald, Brian Belgodere, Mikhail Yurochkin, Jiri Navratil, Igor Melnyk, Jerret Ross

Comments ICML 2024