TMLR Submissions

AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures
Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu
- Published: 05 Jan 2025, Last Modified: 05 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Unified Risk Analysis for Weakly Supervised Learning
Chao-Kai Chiang, Masashi Sugiyama
- Published: 22 Jan 2025, Last Modified: 22 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
Cullen Anderson, Jeff M. Phillips
- Published: 12 Feb 2025, Last Modified: 12 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!
Arash Mari Oriyad, Mohammadali Banayeeanzade, Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
- Published: 12 Mar 2025, Last Modified: 12 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid
- Published: 24 Mar 2025, Last Modified: 24 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)
Marc A. Tunnell, Zachary DeBruine, Erin Carrier
- Published: 11 Apr 2025, Last Modified: 11 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Rethinking Patch Dependence for Masked Autoencoders
Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg
- Published: 09 Apr 2025, Last Modified: 09 Apr 2025
- Accepted by TMLR
- Readers: Everyone
A Unified View of Double-Weighting for Marginal Distribution Shift
José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu
- Published: 20 Mar 2025, Last Modified: 20 Mar 2025
- Accepted by TMLR
- Readers: Everyone
T2L: Efficient Zero-Shot Action Recognition with Temporal Token Learning
Shahzad Ahmad, Sukalpa Chanda, Yogesh S Rawat
- Published: 11 May 2025, Last Modified: 11 May 2025
- Accepted by TMLR
- Readers: Everyone
Hypergraph Neural Networks through the Lens of Message Passing: A Common Perspective to Homophily and Architecture Design
Lev Telyatnikov, Maria Sofia Bucarelli, Guillermo Bernardez, Olga Zaghen, Simone Scardapane, Pietro Lio
- Published: 12 Feb 2025, Last Modified: 12 Feb 2025
- Accepted by TMLR
- Readers: Everyone
Aggregating Algorithm and Axiomatic Loss Aggregation
TMLR Paper3513 Authors
- 18 Oct 2024 (modified: 22 Jul 2025)
- Decision pending for TMLR
- Readers: Everyone
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