Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems. - Benoît Malézieux; Thomas Moreau 001; Matthieu Kowalski (CoRR, 2021)

Understanding approximate and unrolled dictionary learning for pattern recovery. - Benoît Malézieux; Thomas Moreau 001; Matthieu Kowalski (ICLR, 2022)

Benchopt: Reproducible, efficient and collaborative optimization benchmarks. - Thomas Moreau 001; 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 002; et al. (NeurIPS, 2022)

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. - Clément Bonet; Benoît Malézieux; Alain Rakotomamonjy; Lucas Drumetz; Thomas Moreau 001; Matthieu Kowalski; Nicolas Courty (ICML, 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 (2023)

Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. - Matthieu Kowalski; Benoît Malézieux; Thomas Moreau 001; Audrey Repetti (CoRR, 2024)

Phare: A Safety Probe for Large Language Models. - Pierre Le Jeune; Benoît Malézieux; Weixuan Xiao; Matteo Dora (CoRR, 2025)