ICML

Strictly Low Rank Constraint Optimization -- An Asymptotically $\mathcal{O}(\frac{1}{t^2})$ Method

Mengyuan Zhang, Kai Liu

Comments Accepted by Workshop SODS on ICML'23

2D-Shapley: A Framework for Fragmented Data Valuation

Zhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia

Comments 25 pages, 13 figures, ICML 2023

Group Equivariant Fourier Neural Operators for Partial Differential Equations

Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji

Comments Proceedings of the 40th International Conference on Machine Learning https://icml.cc/virtual/2023/poster/23875

Large Language Models Struggle to Learn Long-Tail Knowledge

Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel

Comments ICML 2023 Camera Ready Version

On the Generalization Effects of Linear Transformations in Data Augmentation

Sen Wu, Hongyang R. Zhang, Gregory Valiant, Christopher Ré

Comments 22 pages. Appeared in ICML 2020

Beyond the Edge of Stability via Two-step Gradient Updates

Lei Chen, Joan Bruna

Comments Accepted at ICML 2023. Update: more discussions on Matrix Factorization

Stability of Multi-Agent Learning: Convergence in Network Games with Many Players

Aamal Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras

Comments Presented at the Workshop on New Frontiers in Learning, Control, and Dynamical Systems at the International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, 2023

Learning to Design Analog Circuits to Meet Threshold Specifications

Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox

Comments in proceedings of ICML 23

PLANTAIN: Diffusion-inspired Pose Score Minimization for Fast and Accurate Molecular Docking

Michael Brocidiacono, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha

Comments Camera-ready submission to ICML CompBio workshop. 5 pages and 1 figure

Deceptive Alignment Monitoring

Andres Carranza, Dhruv Pai, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo

Comments Accepted as BlueSky Oral to 2023 ICML AdvML Workshop

Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications

Ioanna Bouri, Fanni Franssila, Markku Alho, Giulia Cozzani, Ivan Zaitsev, Minna Palmroth, Teemu Roos

Comments 6 pages, 3 figures, Accepted at the ICML 2023 Workshop on Machine Learning for Astrophysics

INFINITY: Neural Field Modeling for Reynolds-Averaged Navier-Stokes Equations

Louis Serrano, Leon Migus, Yuan Yin, Jocelyn Ahmed Mazari, Patrick Gallinari

Comments ICML 2023 Workshop on Synergy of Scientific and Machine Learning Modeling

Journal ref ICML 2023 Workshop on Synergy of Scientific and Machine Learning Modeling

Continuous Time Evidential Distributions for Irregular Time Series

Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini

Comments ICML 2023 Workshop on Interpretable Machine Learning in Healthcare. Code is available at https://github.com/twkillian/EDICT

Integrating processed-based models and machine learning for crop yield prediction

Michiel G. J. Kallenberg, Bernardo Maestrini, Ron van Bree, Paul Ravensbergen, Christos Pylianidis, Frits van Evert, Ioannis N. Athanasiadis

Comments 6 pages, 4 figures, Accepted after peer-review at the 1st workshop on Synergy of Scientific and Machine Learning Modeling, SynS & ML ICML, Honolulu, Hawaii, USA. July, 2023

Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions

Skyler Wu, Eric Meng Shen, Charumathi Badrinath, Jiaqi Ma, Himabindu Lakkaraju

Comments Accepted to Workshop on Challenges in Deployable Generative AI at ICML 2023

Counterfactual Explanation Policies in RL

Shripad V. Deshmukh, Srivatsan R, Supriti Vijay, Jayakumar Subramanian, Chirag Agarwal

Comments ICML Workshop on Counterfactuals in Minds and Machines, 2023

Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation

Christian Pedersen, Laure Zanna, Joan Bruna, Pavel Perezhogin

Comments Accepted after peer-review at the 1st workshop on Synergy of Scientific and Machine Learning Modeling, SynS & ML ICML, Honolulu, Hawaii, USA. July, 2023

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin

Comments ICML 2023

Stabilizing Transformer Training by Preventing Attention Entropy Collapse

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Josh Susskind

Journal ref In International Conference on Machine Learning (pp. 40770-40803). PMLR. 2023

Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs

Zhakshylyk Nurlanov, Frank R. Schmidt, Florian Bernard

Comments Presented at ICML 2023 workshop "New Frontiers in Adversarial Machine Learning"

Extracting Molecular Properties from Natural Language with Multimodal Contrastive Learning

Romain Lacombe, Andrew Gaut, Jeff He, David Lüdeke, Kateryna Pistunova

Comments 2023 ICML Workshop on Computational Biology

Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal

Comments Accepted by ICML 2023

A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning

Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov

Comments Accepted to ICML 2023. Video (https://www.youtube.com/watch?v=1xlixIHZ0R4) and code (https://github.com/ben-eysenbach/ac-connection)

Learning Dense Correspondences between Photos and Sketches

Xuanchen Lu, Xiaolong Wang, Judith E Fan

Comments Accepted to ICML 2023. Project page: https://photo-sketch-correspondence.github.io

On Privileged and Convergent Bases in Neural Network Representations

Davis Brown, Nikhil Vyas, Yamini Bansal

Comments In the Workshop on High-dimensional Learning Dynamics at ICML 2023

Consensus-based Participatory Budgeting for Legitimacy: Decision Support via Multi-agent Reinforcement Learning

Srijoni Majumdar, Evangelos Pournaras

Comments 13 Pages, 8 Figures, 3 Tables, Accepted in International Conference on Machine Learning, Optimization, and Data Science, 2023

Journal ref International Conference on Machine Learning, Optimization, and Data Science, 2023

Predicting Ordinary Differential Equations with Transformers

Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

Comments Published at ICML 2023

Interpolating between Images with Diffusion Models

Clinton J. Wang, Polina Golland

Comments Presented at ICML 2023 Workshop on Challenges of Deploying Generative AI

Continuation Path Learning for Homotopy Optimization

Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang

Comments Accepted by the 40th International Conference on Machine Learning (ICML 2023)

On the Effectiveness of Offline RL for Dialogue Response Generation

Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan McDonald

Comments Accepted at ICML 2023. 18 pages, 12 figures. Code available at https://github.com/asappresearch/dialogue-offline-rl