ICML

Cooperative Graph Neural Networks

Ben Finkelshtein, Xingyue Huang, Michael Bronstein, İsmail İlkan Ceylan

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

Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis

Yingying Li, Jing Yu, Lauren Conger, Taylan Kargin, Adam Wierman

Comments ICML 2024

Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions

Frank Nielsen

Comments 38 pages, 11 figures

Journal ref 2nd Annual Topology, Algebra, and Geometry in Machine Learning Workshop, ICML TAG-ML, 2023

FedSelect: Customized Selection of Parameters for Fine-Tuning during Personalized Federated Learning

Rishub Tamirisa, John Won, Chengjun Lu, Ron Arel, Andy Zhou

Journal ref International Workshop on Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities in Conjunction with ICML 2023

Open-Domain Text Evaluation via Contrastive Distribution Methods

Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng

Comments Accepted to ICML 2024

The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Micah Goldblum, Marc Finzi, Keefer Rowan, Andrew Gordon Wilson

Comments Published at the International Conference on Machine Learning (ICML) 2024

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Yongxin Guo, Xiaoying Tang, Tao Lin

Comments ICML 2024

Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

Tobias Schlosser, Michael Friedrich, Danny Kowerko

Comments Accepted for: 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA)

Compositional Curvature Bounds for Deep Neural Networks

Taha Entesari, Sina Sharifi, Mahyar Fazlyab

Comments Proceedings of the 41 st International Conference on Machine Learning (ICML 2024)

Provably Better Explanations with Optimized Aggregation of Feature Attributions

Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner

Comments International Conference on Machine Learning (ICML) 2024

A Tensor Decomposition Perspective on Second-order RNNs

Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal Abdel Hameed, Guillaume Rabusseau

Comments Accepted at ICML 2024. Camera ready version

Adaptively Learning to Select-Rank in Online Platforms

Jingyuan Wang, Perry Dong, Ying Jin, Ruohan Zhan, Zhengyuan Zhou

Comments 25 pages in total. Includes 4 figures and a pdf. International conference on machine learning. PMLR, 2024

Learning Divergence Fields for Shift-Robust Graph Representations

Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan

Comments Accepted to ICML 2024. Source codes at https://github.com/fannie1208/GLIND

Diversified Batch Selection for Training Acceleration

Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang

Comments ICML 2024

Multi-View Stochastic Block Models

Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi, Rajai Nasser

Comments 31 pages, ICML 2024

A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering

Vincent Cohen-Addad, Tommaso d'Orsi, Aida Mousavifar

Comments 24 pages, ICML 2024

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree

Lang Feng, Pengjie Gu, Bo An, Gang Pan

Comments ICML 2024 (Spotlight)

On the Independence Assumption in Neurosymbolic Learning

Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari

Comments Accepted at ICML 2024

$C^*$-Algebraic Machine Learning: Moving in a New Direction

Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

Comments position paper

Journal ref ICML 2024

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Ji Won Park, Nataša Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho

Comments 12 pages (+9 appendix), 13 figures. Accepted at ICML 2024

Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics

Manuel Brenner, Florian Hess, Georgia Koppe, Daniel Durstewitz

Comments ICML 2024. Previously published as a workshop paper for the AAAI 2023 Workshop MLmDS as "Multimodal Teacher Forcing for Reconstructing Nonlinear Dynamical Systems"

Confidence-aware Contrastive Learning for Selective Classification

Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian

Comments Accepted by ICML 2024

FlowMM: Generating Materials with Riemannian Flow Matching

Benjamin Kurt Miller, Ricky T. Q. Chen, Anuroop Sriram, Brandon M Wood

Comments https://github.com/facebookresearch/flowmm

Journal ref ICML 2024

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low

Comments Accepted to ICML 2024

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation

Weike Fang, Zhejian Zhou, Junzhou He, Weihang Wang

Comments 9 pages. In the Proceedings of the 41st International Conference on Machine Learning (ICML' 24)

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization

Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada

Comments Published at ICML 2024. Code available at https://github.com/motahareh-sohrabi/nuPI

Prompt-guided Precise Audio Editing with Diffusion Models

Manjie Xu, Chenxing Li, Duzhen zhang, Dan Su, Wei Liang, Dong Yu

Comments Accepted by ICML 2024

Local vs. Global Interpretability: A Computational Complexity Perspective

Shahaf Bassan, Guy Amir, Guy Katz

Comments To appear in ICML 2024 (Spotlight)

Intersectional Unfairness Discovery

Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

Comments ICML-2024 camera-ready

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao

Comments Appeared at ICML 2024