TMLR Submissions

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
- Published: 30 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
TMLR Paper813 Authors
- 27 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Limitations of and Alternatives to Benchmarking in Reinforcement Learning Research
TMLR Paper812 Authors
- 27 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
- Published: 14 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
- Published: 09 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Interpolations between Boltzmann Densities
Bálint Máté, François Fleuret
- Published: 30 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor, Andreas Krause, Ilija Bogunovic
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Neural Monge Map estimation and its applications
Jiaojiao Fan, Shu Liu, Shaojun Ma, Hao-Min Zhou, Yongxin Chen
- Published: 30 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding Finetuning for Factual Knowledge Extraction from Language Models
TMLR Paper805 Authors
- 26 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne
- Published: 03 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen Kumar Pilly, Soheil Kolouri, Andrea Soltoggio
- Published: 20 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-point Dimensionality Reduction to Improve Projection Layout Reliability
Farshad Barahimi, Stephen Brooks
- 25 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Bayesian Optimization with Informative Covariance
Afonso Eduardo, Michael U. Gutmann
- Published: 31 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A portfolio approach to massively parallel Bayesian optimization
TMLR Paper800 Authors
- 24 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Pre-trained Perceptual Features Improve Differentially Private Image Generation
Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park
- Published: 21 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
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
- Published: 11 May 2023, Last Modified: 29 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff
- Published: 04 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
An Analysis of Model-Based Reinforcement Learning From Abstracted Observations
Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A Oliehoek
- Published: 10 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
- Published: 03 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bayesian Transformed Gaussian Processes
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel
- Published: 14 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
3D-Aware Video Generation
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte
- Published: 07 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity
Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V Albrecht
- Published: 24 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Integrating Bayesian Network Structure into Residual Flows and Variational Autoencoders
Jacobie Mouton, Rodney Stephen Kroon
- Published: 11 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone