ICML

JacNet: Learning Functions with Structured Jacobians

Jonathan Lorraine, Safwan Hossain

Comments 6 pages, 3 Figures, ICML 2019 INNF Workshop

Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning

Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun

Comments Accepted by SPIGM Workshop at ICML 2024 (Structured Probabilistic Inference & Generative Modeling)

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Luca Viano, Stratis Skoulakis, Volkan Cevher

Comments Accepted at ICML 2024

Comparing Graph Transformers via Positional Encodings

Mitchell Black, Zhengchao Wan, Gal Mishne, Amir Nayyeri, Yusu Wang

Comments accepted to ICML 2024

On the Trajectory Regularity of ODE-based Diffusion Sampling

Defang Chen, Zhenyu Zhou, Can Wang, Chunhua Shen, Siwei Lyu

Comments ICML 2024, 30 pages. arXiv admin note: text overlap with arXiv:2305.19947

Variance reduction of diffusion model's gradients with Taylor approximation-based control variate

Paul Jeha, Will Grathwohl, Michael Riis Andersen, Carl Henrik Ek, Jes Frellsen

Comments 14 pages, ICML Structured Probabilistic Inference & Generative Modeling 2024

Larimar: Large Language Models with Episodic Memory Control

Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarath Swaminathan, Sihui Dai, Aurélie Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jiří, Navrátil, Soham Dan, Pin-Yu Chen

Comments ICML 2024

Language Agents as Optimizable Graphs

Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jürgen Schmidhuber

Comments Project Website: https://gptswarm.org ; Github Repo: https://github.com/metauto-ai/gptswarm . In Forty-first International Conference on Machine Learning (2024)

Quantum Theory and Application of Contextual Optimal Transport

Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born

Comments ICML 2024

Journal ref PMLR 235:34822-34845, 2024

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

Taeyoung Kim, Hongseok Yang

Comments Accepted at ICML 2024. 74 pages, 18 figures

The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act

Matias Valdenegro-Toro, Radina Stoykova

Comments 7 pages, 2nd GenLaw Workshop @ ICML 2024

Lowering PyTorch's Memory Consumption for Selective Differentiation

Samarth Bhatia, Felix Dangel

Comments The code is available at https://github.com/plutonium-239/memsave_torch . This paper was accepted to WANT@ICML'24

A Roadmap to Pluralistic Alignment

Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi

Comments ICML 2024

Gambling-Based Confidence Sequences for Bounded Random Vectors

J. Jon Ryu, Gregory W. Wornell

Comments 14 pages, 3 figures. ICML 2024

Operator SVD with Neural Networks via Nested Low-Rank Approximation

J. Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell

Comments 36 pages, 7 figures. ICML 2024. Almost identical to the conference version, except a few updates for fixing typos and mistakes

Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting

Andrea Cini, Danilo Mandic, Cesare Alippi

Comments Published at ICML 2024

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN

Kang You, Zekai Xu, Chen Nie, Zhijie Deng, Qinghai Guo, Xiang Wang, Zhezhi He

Comments * These authors contributed equally to this work

Journal ref International Conference on Machine Learning 2024

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting

Serina Chang, Frederic Koehler, Zhaonan Qu, Jure Leskovec, Johan Ugander

Comments Conference version available from https://proceedings.mlr.press/v235/chang24b.html

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:6202-6252, 2024

How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization

Andrew Lowy, Jonathan Ullman, Stephen J. Wright

Comments ICML 2024

Disparate Impact on Group Accuracy of Linearization for Private Inference

Saswat Das, Marco Romanelli, Ferdinando Fioretto

Comments Extended version of the paper accepted to appear at the Forty-first International Conference on Machine Learning (ICML) 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert

Comments Accepted at ICML 2024 (updated version)

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

Comments 30 pages, 21 figures, published at the 41st International Conference on Machine Learning, Vienna, Austria, 2024

DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

Comments 30 pages, 15 figures, published at the 41st International Conference on Machine Learning, Vienna, Austria, 2024

Faster Adaptive Decentralized Learning Algorithms

Feihu Huang, Jianyu Zhao

Comments ICML 2024 (Spotlight)

A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series

Rithwik Gupta, Daniel Muthukrishna, Michelle Lochner

Comments Accepted in the ICML 2024 AI for Science Workshop. 15 pages, 10 figures. https://openreview.net/forum?id=jkCVGBhIqy. arXiv admin note: substantial text overlap with arXiv:2403.14742

On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems

Jonathan A. Soares, Kayol S. Mayer, Dalton S. Arantes

Comments IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024)

Journal ref IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024)

Learning Based Dynamic Cluster Reconfiguration for UAV Mobility Management with 3D Beamforming

Irshad A. Meer, Karl-Ludwig Besser, Mustafa Ozger, Dominic Schupke, H. Vincent Poor, Cicek Cavdar

Comments 6 pages, 4 figures

Journal ref 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), May 2024

Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transition

Kenzo Clauw, Sebastiano Stramaglia, Daniele Marinazzo

Comments ICML 2024 MI workshop

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu

Comments ICML 2024 Carema Ready Version. 20 Pages, 12 Figures, 10 Tables

The Limitations of Model Retraining in the Face of Performativity

Anmol Kabra, Kumar Kshitij Patel

Comments Accepted to 2024 ICML Workshop on Humans, Algorithmic Decision-Making and Society