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Benoît Malézieux
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Books and Theses
- 2023
- [b1]Benoît Malézieux:
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). University of Paris-Saclay, France, 2023
Conference and Workshop Papers
- 2023
- [c3]Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty:
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML 2023: 2777-2805 - 2022
- [c2]Benoît Malézieux, Thomas Moreau, Matthieu Kowalski:
Understanding approximate and unrolled dictionary learning for pattern recovery. ICLR 2022 - [c1]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:
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS 2022
Informal and Other Publications
- 2023
- [i3]Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty:
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR abs/2303.05798 (2023) - 2022
- [i2]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:
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR abs/2206.13424 (2022) - 2021
- [i1]Benoît Malézieux, Thomas Moreau, Matthieu Kowalski:
Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems. CoRR abs/2106.06338 (2021)
Coauthor Index
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