TMLR Submissions

Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
Minttu Alakuijala, Reginald McLean, Isaac Woungang, Nariman Farsad, Samuel Kaski, Pekka Marttinen, Kai Yuan
- Published: 26 Feb 2025, Last Modified: 26 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
Sara Venturini, Marianna De Santis, Jordan Patracone, Martin Schmidt, Francesco Rinaldi, Saverio Salzo
- Published: 14 Feb 2025, Last Modified: 14 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Treating Adversarial and Natural Noise Equally: Building a Robust Network for Unified Resilience
TMLR Paper3672 Authors
- 12 Nov 2024 (modified: 28 Feb 2025)
- Rejected by TMLR
- Readers: Everyone
Fast and Generalized DeepFake Detector Through Feature Space Transformation
TMLR Paper3671 Authors
- 12 Nov 2024 (modified: 26 Feb 2025)
- Rejected by TMLR
- Readers: Everyone
Entropy Controllable Direct Preference Optimization
TMLR Paper3670 Authors
- 12 Nov 2024 (modified: 24 Feb 2025)
- Rejected by TMLR
- Readers: Everyone
Respecting the limit: Bayesian optimization with a bound on the optimal value
Hanyang Wang, Juergen Branke, Matthias Poloczek
- Published: 13 Mar 2025, Last Modified: 13 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Cluster Tree for Nearest Neighbor Search
Dan Kushnir, Sandeep Silwal
- Published: 21 Mar 2025, Last Modified: 21 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Removing Structured Noise using Diffusion Models
Tristan Stevens, Hans van Gorp, Faik C Meral, Junseob Shin, Jason Yu, Jean-luc Robert, Ruud Van Sloun
- Published: 22 Mar 2025, Last Modified: 22 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Sample, estimate, aggregate: A recipe for causal discovery foundation models
Menghua Wu, Yujia Bao, Regina Barzilay, Tommi Jaakkola
- Published: 27 Apr 2025, Last Modified: 27 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Generative Feature Training of Thin 2-Layer Networks
Johannes Hertrich, Sebastian Neumayer
- Published: 07 Aug 2025, Last Modified: 07 Aug 2025
- Accepted by TMLR
- Readers: Everyone
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
Giuseppe Serra, Ben Werner, Florian Buettner
- Published: 04 Mar 2025, Last Modified: 04 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
TMLR Paper3662 Authors
- 11 Nov 2024 (modified: 31 Jan 2025)
- Rejected by TMLR
- Readers: Everyone
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning
Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro
- Published: 08 Apr 2025, Last Modified: 08 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Shedding Light on Problems with Hyperbolic Graph Learning
Isay Katsman, Anna Gilbert
- Published: 02 Mar 2025, Last Modified: 02 Mar 2025
- Accepted by TMLR
- Readers: Everyone
An Analytical Model for Overparameterized Learning Under Class Imbalance
Eliav Mor, Yair Carmon
- Published: 19 Feb 2025, Last Modified: 19 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Conditional Image Synthesis with Diffusion Models: A Survey
Zheyuan Zhan, Defang Chen, Jian-Ping Mei, Zhenghe Zhao, Jiawei Chen, Chun Chen, Siwei Lyu, Can Wang
- Published: 23 May 2025, Last Modified: 23 May 2025
- Accepted by TMLR
- Readers: Everyone
Deep Active Learning in the Open World
Tian Xie, Jifan Zhang, Haoyue Bai, Robert D Nowak
- Published: 28 Feb 2025, Last Modified: 28 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Using Large Language Models for Hyperparameter Optimization
TMLR Paper3656 Authors
- 09 Nov 2024 (modified: 27 Jan 2025)
- Rejected by TMLR
- Readers: Everyone
Equitable Federated Learning with Activation Clustering
TMLR Paper3655 Authors
- 09 Nov 2024 (modified: 12 Apr 2025)
- Rejected by TMLR
- Readers: Everyone
Algorithm Configuration for Structured Pfaffian Settings
Maria Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma
- Published: 28 May 2025, Last Modified: 28 May 2025
- Accepted by TMLR
- Readers: Everyone
Minimax Lower Bounds for Estimating Distributions on Low-dimensional Spaces
Saptarshi Chakraborty
- Published: 05 Feb 2025, Last Modified: 05 Feb 2025
- Accepted by TMLR
- Readers: Everyone
An Adversarial Perspective on Machine Unlearning for AI Safety
Jakub Łucki, Boyi Wei, Yangsibo Huang, Peter Henderson, Florian Tramèr, Javier Rando
- Published: 15 Apr 2025, Last Modified: 15 Apr 2025
- Accepted by TMLR
- Readers: Everyone
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches
Ruibo Ming, Zhewei Huang, Zhuoxuan Ju, Jianming HU, Lihui Peng, Shuchang Zhou
- 08 Nov 2024 (modified: 15 Jul 2025)
- Withdrawn by Authors
- Readers: Everyone
Training neural networks faster with minimal tuning usingpre-computed lists of hyperparameters for NAdamW
TMLR Paper3646 Authors
- 08 Nov 2024 (modified: 21 Jan 2025)
- Rejected by TMLR
- Readers: Everyone
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
TMLR Paper3645 Authors
- 08 Nov 2024 (modified: 17 Feb 2025)
- Rejected by TMLR
- Readers: Everyone