TMLR Submissions

Posterior Sampling for Reinforcement Learning on Graphs
Arnaud Robert, Aldo A. Faisal, Ciara Pike-Burke
- Published: 25 Mar 2025, Last Modified: 25 Mar 2025
- Accepted by TMLR
- Readers: Everyone
On the Regularization of Learnable Embeddings for Time Series Forecasting
Luca Butera, Giovanni De Felice, Andrea Cini, Cesare Alippi
- Published: 09 Feb 2025, Last Modified: 09 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Compositionality in Time Series: A Proof of Concept using Symbolic Dynamics and Compositional Data Augmentation
Michael Hagmann, Michael Staniek, Stefan Riezler
- Published: 20 Mar 2025, Last Modified: 20 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Optimal Transport for Domain Adaptation through Gaussian Mixture Models
Eduardo Fernandes Montesuma, Fred Maurice NGOLE MBOULA, Antoine Souloumiac
- Published: 09 Jan 2025, Last Modified: 09 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Evaluation of Best-of-N Sampling Strategies for Language Model Alignment
Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe
- Published: 15 Feb 2025, Last Modified: 15 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi
- Published: 25 Jun 2025, Last Modified: 25 Jun 2025
- Accepted by TMLR
- Readers: Everyone
Robust Model Selection of Gaussian Graphical Models
Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut, Gautam Dasarathy
- Published: 27 Apr 2025, Last Modified: 27 Apr 2025
- Accepted by TMLR
- Readers: Everyone
The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
- Published: 21 Feb 2025, Last Modified: 21 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Robust Guided Diffusion for Offline Black-Box Optimization
Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal
- Published: 20 Dec 2024, Last Modified: 20 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Faster Diffusion Through Temporal Attention Decomposition
Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Perez-Rua, Jürgen Schmidhuber
- Published: 26 Feb 2025, Last Modified: 26 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Advanced Optimization Techniques in Neural Networks: A Sobolev Space Approach
TMLR Paper3502 Authors
- 16 Oct 2024 (modified: 27 Jan 2025)
- Rejected by TMLR
- Readers: Everyone
Sparsified State-Space Models are Efficient Highway Networks
Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin
- Published: 23 Mar 2025, Last Modified: 23 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Minimax Posterior Contraction Rates for Unconstrained Distribution Estimation on $[0,1]^d$ under Wasserstein Distance
Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya, Debdeep Pati
- Published: 07 Jan 2025, Last Modified: 07 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Rethinking Knowledge Transfer in Learning Using Privileged Information
Danil Provodin, Bram van den Akker, Christina Katsimerou, Maurits Clemens Kaptein, Mykola Pechenizkiy
- Published: 13 Mar 2025, Last Modified: 13 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Gaussian Process Latent Variable Model: A Performance Upper Bound with Noise-Corrupted Data
TMLR Paper3498 Authors
- 15 Oct 2024 (modified: 10 Nov 2024)
- Withdrawn by Authors
- Readers: Everyone
APR-CNN: Convolutional Neural Networks for the Adaptive Particle Representation of Large Microscopy Images
Joel Jonsson, Bevan Leslie Cheeseman, Ivo Sbalzarini
- Published: 14 Feb 2025, Last Modified: 14 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva, Puneesh Deora, Christos Thrampoulidis
- Published: 31 Mar 2025, Last Modified: 31 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
- Published: 29 Jan 2025, Last Modified: 29 Jan 2025
- Accepted by TMLR
- Readers: Everyone
The RealHumanEval: Evaluating Large Language Models’ Abilities to Support Programmers
Hussein Mozannar, Valerie Chen, Mohammed Alsobay, Subhro Das, Sebastian Zhao, Dennis Wei, Manish Nagireddy, Prasanna Sattigeri, Ameet Talwalkar, David Sontag
- Published: 10 Feb 2025, Last Modified: 10 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, John A. Doucette, David Rabinowitz, Leslie Barrett, Tom Ault, Hai Phan
- Published: 30 Apr 2025, Last Modified: 30 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Convex Relaxation for Solving Large-Margin Classifiers in Hyperbolic Space
Sheng Yang, Peihan Liu, Cengiz Pehlevan
- Published: 23 Apr 2025, Last Modified: 23 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Learning to Complement with Multiple Humans
TMLR Paper3491 Authors
- 14 Oct 2024 (modified: 11 Mar 2025)
- Rejected by TMLR
- Readers: Everyone
Lognormal Mutations and their Use in Detecting Surreptitious Fake Images
Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad
- Published: 24 Feb 2025, Last Modified: 24 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Reset-free Reinforcement Learning with World Models
Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat, Edward S. Hu
- Published: 03 Mar 2025, Last Modified: 03 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Unsupervised Discovery of Object-Centric Neural Fields
Rundong Luo, Hong-Xing Yu, Jiajun Wu
- Published: 14 Feb 2025, Last Modified: 14 Feb 2025
- Accepted by TMLR
- Readers: Everyone