ICML

Recovering the CMB signal with neural networks

J. M. Casas, L. Bonavera, J. González-Nuevo, G. Puglisi, C. Baccigalupi

Comments Accepted for publication in the Springer Nature Astrophysics and Space Science book series from an oral contribution gave by José Manuel Casas at the 2nd edition of the International Conference on Machine Learning for Astrophysics (ML4ASTRO2) in Catania, Italy in July 2024

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low

Comments Accepted at ICLR 2025. Also, accepted at ICML 2024 Workshop on Foundations of Reinforcement Learning and Control

KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filtering

Kibeom Nam

Comments Work in Progress, DMLR@ICML 2024

FRAG: Frequency Adapting Group for Diffusion Video Editing

Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim, Chang D. Yoo

Comments 16 pages, 16 figures, ICML 2024

Explorations of Self-Repair in Language Models

Cody Rushing, Neel Nanda

Comments ICML 2024

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:42836-42855, 2024

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin

Comments published in ICML 2024

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Nikhil Sardana, Jacob Portes, Sasha Doubov, Jonathan Frankle

Comments 16 pages, 7 figures, In the 41st International Conference on Machine Learning, 2024

Topology-aware Generalization of Decentralized SGD

Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

Comments Accepted for publication in the 39th International Conference on Machine Learning (ICML 2022)

Navigating Explanatory Multiverse Through Counterfactual Path Geometry

Kacper Sokol, Edward Small, Yueqing Xuan

Comments ECML-PKDD 2025: Journal Track (Springer Machine Learning) & ICML 2023 Workshop on Counterfactuals in Minds and Machines

REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models

Shenyang Liu, Saleh Almohaimeed, Liqiang Wang

Comments 2024 International Conference on Machine Learning and Applications (ICMLA)

Sigma: A dataset for text-to-code semantic parsing with statistical analysis

Saleh Almohaimeed, Shenyang Liu, May Alsofyani, Saad Almohaimeed, Liqiang Wang

Comments 2023 International Conference on Machine Learning and Applications (ICMLA) This version includes more details than the conference version

Context-Aware Self-Adaptation for Domain Generalization

Hao Yan, Yuhong Guo

Comments ICML 2023 AdvML Frontiers workshop

Conditional Temporal Neural Processes with Covariance Loss

Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi

Comments 11 pages, 18 figures

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139:12051-12061, 2021

Graph External Attention Enhanced Transformer

Jianqing Liang, Min Chen, Jiye Liang

Comments In Proceedings of ICML 2024

Journal ref Proceedings of the 41st International Conference on Machine Learning, 2024

Self-Rewarding Language Models

Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho, Xian Li, Sainbayar Sukhbaatar, Jing Xu, Jason Weston

Comments ICML 2024

Learning with 3D rotations, a hitchhiker's guide to SO(3)

A. René Geist, Jonas Frey, Mikel Zhobro, Anna Levina, Georg Martius

Comments Published at ICML 2024

Llms, Virtual Users, and Bias: Predicting Any Survey Question Without Human Data

Enzo Sinacola, Arnault Pachot, Thierry Petit

Comments Accepted, proceedings of the 17th International Conference on Machine Learning and Computing

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Dongyang Liu, Renrui Zhang, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao, Peng Gao

Comments Accepted by ICML 2024. Code and models are released at https://github.com/Alpha-VLLM/LLaMA2-Accessory

A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems

Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo

Comments Accepted by ICML 2020; Correct typos in Proposition B.4, Lemma 4.3, B.6, B.10, B.12, D.1 and Theorem 3.4

Time Series Classification of Supraglacial Lakes Evolution over Greenland Ice Sheet

Emam Hossain, Md Osman Gani, Devon Dunmire, Aneesh Subramanian, Hammad Younas

Comments Published in 2024 International Conference on Machine Learning and Applications (ICMLA). [DOI: https://doi.org/10.1109/ICMLA61862.2024.00072]

Journal ref 2024 International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, pp. 490-497

Robustness of Nonlinear Representation Learning

Simon Buchholz, Bernhard Schölkopf

Comments 37 pages

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4785-4821, 2024

Reducing False Ventricular Tachycardia Alarms in ICU Settings: A Machine Learning Approach

Grace Funmilayo Farayola, Akinyemi Sadeeq Akintola, Oluwole Fagbohun, Chukwuka Michael Oforgu, Bisola Faith Kayode, Christian Chimezie, Temitope Kadri, Abiola Oludotun, Nelson Ogbeide, Mgbame Michael, Adeseye Ifaturoti, Toyese Oloyede

Comments Preprint, Accepted to the International Conference on Machine Learning Technologies (ICMLT 2025), Helsinki, Finland

Uncertainty-Aware Hybrid Inference with On-Device Small and Remote Large Language Models

Seungeun Oh, Jinhyuk Kim, Jihong Park, Seung-Woo Ko, Tony Q. S. Quek, Seong-Lyun Kim

Comments 7 pages, 6 figures; to be presented at IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2025

SafeSlice: Enabling SLA-Compliant O-RAN Slicing via Safe Deep Reinforcement Learning

Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein

Comments This article has been accepted for presentation in the IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2025

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring

Comments Accepted at ICMLA 2024

Journal ref 2024 International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2024, pp. 280-287

Position: Tensor Networks are a Valuable Asset for Green AI

Eva Memmel, Clara Menzen, Jetze Schuurmans, Frederiek Wesel, Kim Batselier

Comments This paper has been accepted for presentation at the International Conference on Machine Learning (ICML) 2024 and will appear in the conference proceedings

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov, Evgeny Burnaev, Serguei Barannikov

Journal ref ICML 2024, Proceedings of the 41st International Conference on Machine Learning

Exploring Position Encoding in Diffusion U-Net for Training-free High-resolution Image Generation

Feng Zhou, Pu Cao, Yiyang Ma, Lu Yang, Jianqin Yin

Comments Submitted to ICML 2025

Investigation of Frame Differences as Motion Cues for Video Object Segmentation

Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano

Comments 8 pages, 3 figures, 2 tables. Accepted to The 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025)

Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law

Giorgio Franceschelli, Claudia Cevenini, Mirco Musolesi

Comments Spotlight presentation at GenLaw'24, see https://www.genlaw.org/2024-icml-papers#training-foundation-models-as-data-compression-on-information-model-weights-and-copyright-law