Benoît Malézieux

According to our database, Benoît Malézieux authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs.

Pierre Le Jeune, Étienne Duchesne, Weixuan Xiao, Stefano Palminteri, Bazire Houssin, Benoît Malézieux, Matteo Dora

CoRR, May, 2026

Where Prior Learning Can and Can't Work in Unsupervised Inverse Problems.

Benoît Malézieux, Florent Michel, Thomas Moreau, Matthieu Kowalski

IEEE Trans. Signal Process., 2026

Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms.

Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti

SIAM J. Imaging Sci., 2026

2025

RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection.

Jad Yehya, Mansour Benbakoura, Cédric Allain, Benoît Malézieux, Matthieu Kowalski, Thomas Moreau

CoRR, September, 2025

Phare: A Safety Probe for Large Language Models.

Pierre Le Jeune, Benoît Malézieux, Weixuan Xiao, Matteo Dora

CoRR, May, 2025

2023

A study of unrolled algorithms for dictionary learning and inverse problems, and contributions to M/EEG signal processing. (Etude des algorithmes déroulés pour l'apprentissage de dictionnaire et les problèmes inverses, et contributions au traitement des signaux M/EEG).

Benoît Malézieux

PhD thesis, 2023

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.

Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty

Proceedings of the International Conference on Machine Learning, 2023

2022

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.

Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding approximate and unrolled dictionary learning for pattern recovery.

Benoît Malézieux, Thomas Moreau, Matthieu Kowalski

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems.

Benoît Malézieux, Thomas Moreau, Matthieu Kowalski

CoRR, 2021