TMLR

Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors

Angus Nicolson, Lisa Schut, J. Alison Noble, Yarin Gal

Comments Accepted by Transactions on Machine Learning Research (02/2025)

Global Convergence Rate of Deep Equilibrium Models with General Activations

Lan V. Truong

Comments Accepted to TMLR

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks

Piyush Tiwary, Atri Guha, Subhodip Panda, Prathosh A. P

Comments Accepted at Transactions on Machine Learning Research (TMLR)

Maximum Mean Discrepancy on Exponential Windows for Online Change Detection

Florian Kalinke, Marco Heyden, Georg Gntuni, Edouard Fouché, Klemens Böhm

Comments Published in TMLR 02/25

Journal ref Transactions on Machine Learning Research, 2025

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs

Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li

Comments TMLR 02/2025

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions

Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli, Fabio Massimo Zanzotto, Sébastien Bratières, Emanuele Rodolà

Comments Published in Transactions on Machine Learning Research (TMLR) https://openreview.net/forum?id=Ss9MTTN7OL

Journal ref Transactions on Machine Learning Research, 2025

The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging

Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro

Comments Published in Transactions on Machine Learning Research (TMLR 2025). Please cite the TMLR version

LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism Synthesis

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Kai Xu, Faez Ahmed

Journal ref Transactions on Machine Learning Research, 2835-885, 2024

Partially Frozen Random Networks Contain Compact Strong Lottery Tickets

Hikari Otsuka, Daiki Chijiwa, Ángel López García-Arias, Yasuyuki Okoshi, Kazushi Kawamura, Thiem Van Chu, Daichi Fujiki, Susumu Takeuchi, Masato Motomura

Comments Accepted at TMLR

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach

Giovanni Luca Marchetti, Gabriele Cesa, Pratik Kumar, Arash Behboodi

Comments Accepted at TMLR

Interactive Task Planning with Language Models

Boyi Li, Philipp Wu, Pieter Abbeel, Jitendra Malik

Comments Transactions on Machine Learning Research (TMLR), 2025

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE

Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi

Comments Accepted at TMLR-25

A Strong Baseline for Molecular Few-Shot Learning

Philippe Formont, Hugo Jeannin, Pablo Piantanida, Ismail Ben Ayed

Comments Published in Transactions on Machine Learning Research (02/2025)

ADAPT to Robustify Prompt Tuning Vision Transformers

Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer Dy

Comments Published in Transactions on Machine Learning Research (2025)

MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks

Alejandro Guerra-Manzanares, Farah E. Shamout

Comments Published in Transactions on Machine Learning Research (01/2025), https://openreview.net/forum?id=BhOJreYmur&noteId=ymnAhncuez

Journal ref Transactions on Machine Learning Research (TMLR), 01/2025

Nomic Embed: Training a Reproducible Long Context Text Embedder

Zach Nussbaum, John X. Morris, Brandon Duderstadt, Andriy Mulyar

Comments Accepted to TMLR https://openreview.net/forum?id=IPmzyQSiQE

Event-Triggered Time-Varying Bayesian Optimization

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

Comments Published in Transactions on Machine Learning Research (TMLR)

What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)?

Lorenzo Loconte, Antonio Mari, Gennaro Gala, Robert Peharz, Cassio de Campos, Erik Quaeghebeur, Gennaro Vessio, Antonio Vergari

Journal ref Transactions on Machine Learning Research, 2025

On the stability of gradient descent with second order dynamics for time-varying cost functions

Travis E. Gibson, Sawal Acharya, Anjali Parashar, Joseph E. Gaudio, Anurdha M. Annaswamy

Comments Final accepted version of TMLR paper. https://openreview.net/forum?id=HlzjI2fn2T

Journal ref Transactions on Machine Learning Research (2025).

Slicing Unbalanced Optimal Transport

Clément Bonet, Kimia Nadjahi, Thibault Séjourné, Kilian Fatras, Nicolas Courty

Comments Published in Transactions on Machine Learning Research (January 2025)

E(n)-equivariant Graph Neural Cellular Automata

Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur

Journal ref Transactions on Machine Learning Research, 2024

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges

Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

Comments 36 pages

Journal ref Transactions on Machine Learning Research, 2025

A comparison between humans and AI at recognizing objects in unusual poses

Netta Ollikka, Amro Abbas, Andrea Perin, Markku Kilpeläinen, Stéphane Deny

Comments version accepted at TMLR

OmniPred: Language Models as Universal Regressors

Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi Peng, Sagi Perel, Yutian Chen

Comments Published in Transactions on Machine Learning Research (TMLR) 2024. Code can be found in https://github.com/google-research/optformer/tree/main/optformer/omnipred

Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on Sharp Asymptotic Analysis

Koki Okajima, Tomoyuki Obuchi

Comments 23 pages, 9 figures

Journal ref Transactions on Machine Learning Research (2025). < https://openreview.net/forum?id=ccu0M3nmlF>

Can Optimization Trajectories Explain Multi-Task Transfer?

David Mueller, Mark Dredze, Nicholas Andrews

Comments 13 pages; Published in TMLR

Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani

Comments Accepted in Transactions on Machine Learning Research (01/2025)

Journal ref TMLR 2025

Conformalized Credal Regions for Classification with Ambiguous Ground Truth

Michele Caprio, David Stutz, Shuo Li, Arnaud Doucet

Journal ref TMLR 2025

Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs

Nicolas Boizard, Kevin El Haddad, Céline Hudelot, Pierre Colombo

Comments 10 pages, 5 figures

Journal ref Transactions on Machine Learning Research, January 2025

An Attribute-based Method for Video Anomaly Detection

Tal Reiss, Yedid Hoshen

Comments TMLR 2025. Our code is available at https://github.com/talreiss/Accurate-Interpretable-VAD