TMLR Submissions

LTL-Constrained Policy Optimization with Cycle Experience Replay
Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia
- Published: 08 Apr 2025, Last Modified: 08 Apr 2025
- Accepted by TMLR
- Readers: Everyone
An analysis of the noise schedule for score-based generative models
Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire
- Published: 18 Jan 2025, Last Modified: 18 Jan 2025
- Accepted by TMLR
- Readers: Everyone
On Using Certified Training towards Empirical Robustness
Alessandro De Palma, Serge Durand, Zakaria Chihani, François Terrier, Caterina Urban
- Published: 22 Mar 2025, Last Modified: 22 Mar 2025
- Accepted by TMLR
- Readers: Everyone
State-Constrained Offline Reinforcement Learning
Charles Alexander Hepburn, Yue Jin, Giovanni Montana
- Published: 10 Jun 2025, Last Modified: 10 Jun 2025
- Accepted by TMLR
- Readers: Everyone
Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability
Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji
- Published: 28 Jan 2025, Last Modified: 28 Jan 2025
- Accepted by TMLR
- Readers: Everyone
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks
Alejandro Guerra-Manzanares, Farah Shamout
- Published: 13 Jan 2025, Last Modified: 13 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
RENCHUNZI XIE, Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko, Jianfeng Zhang, Bo An
- Published: 16 Apr 2025, Last Modified: 16 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Identifying Spurious Correlations using Counterfactual Alignment
Joseph Paul Cohen, Louis Blankemeier, Akshay S Chaudhari
- Published: 22 Jan 2025, Last Modified: 22 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures
João Bravo, Jacopo Bono, Hugo Ferreira, Pedro Saleiro, Pedro Bizarro
- Published: 18 Dec 2024, Last Modified: 18 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Playing Board Games with the Predict Results of Beam Search Algorithm
TMLR Paper3413 Authors
- 30 Sept 2024 (modified: 22 Nov 2024)
- Rejected by TMLR
- Readers: Everyone
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade, Mahdi Soltanolkotabi, Mohammad Rostami
- Published: 23 Mar 2025, Last Modified: 23 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Towards Understanding the Role of Adaptive Learning Rates in Powered Stochastic Gradient Descent
TMLR Paper3410 Authors
- 28 Sept 2024 (modified: 19 Dec 2024)
- Rejected by TMLR
- Readers: Everyone
\copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model
Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu
- Published: 31 Jan 2025, Last Modified: 24 Feb 2025
- Accepted by TMLR
- Readers: Everyone
The Role of Deep Learning Regularizations on Actors in Offline RL
TMLR Paper3407 Authors
- 28 Sept 2024 (modified: 21 Nov 2024)
- Rejected by TMLR
- Readers: Everyone
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
Anastasis Kratsios, Haitz Sáez de Ocáriz Borde, Takashi Furuya, Marc T. Law
- Published: 28 Jan 2025, Last Modified: 28 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
Yifei He, Yuzheng Hu, Yong Lin, Tong Zhang, Han Zhao
- Published: 06 Jan 2025, Last Modified: 06 Jan 2025
- Accepted by TMLR
- Readers: Everyone
AI Agents That Matter
Sayash Kapoor, Benedikt Stroebl, Zachary S Siegel, Nitya Nadgir, Arvind Narayanan
- Published: 13 Jun 2025, Last Modified: 13 Jun 2025
- Accepted by TMLR
- Readers: Everyone
Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors
Angus Nicolson, Lisa Schut, Alison Noble, Yarin Gal
- Published: 11 Feb 2025, Last Modified: 11 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis
Koki Okajima, Tomoyuki Obuchi
- Published: 19 Jan 2025, Last Modified: 13 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Meta-Learning for Graphs with Heterogeneous Node Attribute Spaces for Few-Shot Edge Predictions
Zhong Chuang, Yusuke Tanaka, Tomoharu Iwata
- Published: 26 Feb 2025, Last Modified: 26 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Masked Autoencoders are PDE Learners
Anthony Zhou, Amir Barati Farimani
- Published: 05 Dec 2024, Last Modified: 05 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Node Feature Forecasting in Temporal Graphs: an Interpretable Online Algorithm
TMLR Paper3397 Authors
- 26 Sept 2024 (modified: 19 Dec 2024)
- Rejected by TMLR
- Readers: Everyone
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis, Alessandro Giacomo Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
- Published: 18 Feb 2025, Last Modified: 18 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Neural DDEs with Learnable Delays for Partially Observed Dynamical Systems
TMLR Paper3395 Authors
- 26 Sept 2024 (modified: 19 Dec 2024)
- Rejected by TMLR
- Readers: Everyone
Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach
Chuanhui Liu, Xiao Wang
- Published: 20 Jan 2025, Last Modified: 20 Jan 2025
- Accepted by TMLR
- Readers: Everyone