TMLR

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gomez-Bombarelli, Tommi Jaakkola

Comments 31 pages, 18 figures

Journal ref Transactions on Machine Learning Research, 2023

Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks

Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley D. Olsen, Tommi Jaakkola

Comments 27 pages, 16 figures

Journal ref Transactions on Machine Learning Research, 2023

Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error

Ondrej Bohdal, Yongxin Yang, Timothy Hospedales

Comments Published in Transactions on Machine Learning Research (08/2023)

A probabilistic Taylor expansion with Gaussian processes

Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä

Comments To appear in Transactions on Machine Learning Research

Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting

Comments Published in Transactions in Machine Learning Research (TMLR) (08/2023). Main paper: 17 pages, References: 3 pages, Appendix: 7 pages. Figures: 5 main, 3 appendix. Tables: 3 main

Journal ref Transactions in Machine Learning Research (08/2023)

Test-Time Adaptation for Visual Document Understanding

Sayna Ebrahimi, Sercan O. Arik, Tomas Pfister

Comments Accepted at TMLR 2023

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings

Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

Comments Accepted to Transactions on Machine Learning Research (TMLR) 2023

Faster Training of Neural ODEs Using Gauß-Legendre Quadrature

Alexander Norcliffe, Marc Peter Deisenroth

Comments 32 pages, 16 figures, 7 tables, published in TMLR 2023

Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics

Jun Jet Tai, Jordan K. Terry, Mauro S. Innocente, James Brusey, Nadjim Horri

Comments Under review at TMLR

Learned Thresholds Token Merging and Pruning for Vision Transformers

Maxim Bonnaerens, Joni Dambre

Comments Published in Transactions on Machine Learning Research (TMLR)

Journal ref Transactions on Machine Learning Research (2023)

Stochastic Constrained DRO with a Complexity Independent of Sample Size

Qi Qi, Jiameng Lyu, Kung sik Chan, Er Wei Bai, Tianbao Yang

Comments 37 pages, 16 figures

Journal ref Transactions on Machine Learning Research, 2023

Catastrophic overfitting can be induced with discriminative non-robust features

Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Gregory Rogéz, Philip H. S. Torr

Comments Published in Transactions on Machine Learning Research (TMLR)

Contrastive Attraction and Contrastive Repulsion for Representation Learning

Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou

Journal ref Transactions on Machine Learning Research, 2023. ISSN 2835-8856

Foiling Explanations in Deep Neural Networks

Snir Vitrack Tamam, Raz Lapid, Moshe Sipper

Comments Snir Vitrack Tamam and Raz Lapid contributed equally

Journal ref Transactions on Machine Learning Research, 08/2023

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games

Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Mcaleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang

Comments 28 pages, accepted by Transactions on Machine Learning Research (TMLR)

MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks

Weicheng Kuo, AJ Piergiovanni, Dahun Kim, Xiyang Luo, Ben Caine, Wei Li, Abhijit Ogale, Luowei Zhou, Andrew Dai, Zhifeng Chen, Claire Cui, Anelia Angelova

Comments Published in Transactions on Machine Learning Research ( https://jmlr.org/tmlr/ ). 18 pages, 4 figures

3D-Aware Video Generation

Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte

Comments TMLR 2023; Project page: https://sherwinbahmani.github.io/3dvidgen

Distributionally Robust Classification on a Data Budget

Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde

Comments TMLR 2023; openreview link: https://openreview.net/forum?id=D5Z2E8CNsD

The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Arseny Moskvichev, Victor Vikram Odouard, Melanie Mitchell

Journal ref Transactions on Machine Learning Research, 8/2023

Expected Worst Case Regret via Stochastic Sequential Covering

Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

Comments Fixed hyperlink line break problem

Journal ref Published in Transactions on Machine Learning Research (08/2023). URL: https://openreview.net/forum?id=H1SekypXKA

FairGrad: Fairness Aware Gradient Descent

Gaurav Maheshwari, Michaël Perrot

Comments Paper is accepted at Transactions on Machine Learning Research. Reviewed on OpenReview: https://openreview.net/forum?id=0f8tU3QwWD

Structured Low-Rank Tensors for Generalized Linear Models

Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa

Comments 43 pages; published in Transactions on Machine Learning Research (08/2023)

Journal ref Transactions on Machine Learning Research, Aug. 2023 (https://openreview.net/forum?id=qUxBs3Ln41)

Successor Feature Representations

Chris Reinke, Xavier Alameda-Pineda

Comments published in Transactions on Machine Learning Research (05/2023), source code: https://gitlab.inria.fr/robotlearn/sfr_learning, [v2] added experiments with learned features, [v3] renamed paper and changed scope, [v4] published version

Lifelong Reinforcement Learning with Modulating Masks

Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen K. Pilly, Soheil Kolouri, Andrea Soltoggio

Comments Code available at https://github.com/dlpbc/mask-lrl

Journal ref Transactions on Machine Learning Research (2023)

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao

Comments 50 pages, Published in TMLR, Transactions on Machine Learning Research (06/2023)

DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity

Chung-Yiu Yau, Hoi-To Wai

Comments Accepted at TMLR, 41 pages

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success

Jaemin Yoo, Tiancheng Zhao, Leman Akoglu

Comments Transactions on Machine Learning Research (TMLR)

Spectral learning of Bernoulli linear dynamical systems models

Iris R. Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow

Comments Published in Transactions on Machine Learning Research (https://jmlr.org/tmlr/papers/)

Journal ref Transactions on Machine Learning Research (2023)

mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization

Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr

Comments Accepted to TMLR 2023 (21 pages, 8 figures)

A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores

Naoya Takeishi, Yoshinobu Kawahara

Journal ref Transactions on Machine Learning Research, 2023