People
Students and Post-docs
Here is a list of past and current students and collaborators.
Post-docs
PhD students
- Sonia Mazelet,
Optimal transport on graphs for learning multi-sujects fMRI alignment and brain activity decoding with
Bertrand Thirion, École
Polytechnique, 2024-2027.
- Paul Krzakala,
Optimal transport distance for modeling graph dynamics with
Florence d'Alché Buc and
Charlotte Laclaux, Télécom Paris
, 2023-2026.
- Théo Gnassounou,
Multi-source domain adaptation with
Alexandre Gramfort, ENS Paris
Saclay, 2022-2025.
- Quang Huy Tran, Optimal Transport for transfer learning across spaces,
with Nicolas Courty and Karim Lounici, Université
Bretagne Sud-École Polytechnique, 2021-2024.
- Cédric Vincent-Cuaz, Optimal Transport on graphs
with Marco Cornelli, Université
Côte d'Azur- 3IA Côte d'Azur, 2020-2023.
- Kilian Fatras, Optimal Transport for deep learning, with Nicolas Courty, Université Bretagne Sud, 2018-2021.
- Laurent Dragoni,
Spike sorting for massive neurophysiological data sets, with Karim Lounici and Patricia Bouret, Université Côte d'Azur, 2017-2022.
- Raphael Rougeot,
Modeling and computation of diffraction effects for end-to-end performance of hight-contrast space optical instruments, with David Mary and Claude Aime, Université Côte d'Azur / European Spatial Agency (ESA) , 2017-2020.
- Ibrahim El Khalil Harrane,
Distributed estimation over multitask networks, with Cédric Richard, PhD student, Université Côte d'Azur, 2015-2018.
Masters students
- Sonia Mazelet,Graph Neural Networks with Optimal Transport, , Master student, ENS Paris
Saclay, 2023.
- Paul Krzakala,Graph auto-encoders with Optimal Transport, with
Florence d'Alché Buc and
Charlotte Laclau, Master student, ENS Paris
Saclay, 2023.
- Théo Gnassounou,
Deep Joint Distributionally Optimal Transport to deal with Domain Adaptation
in Sleep Staging with
Alexandre Gramfort, Master student, ENS Paris
Saclay, 2021.
- Julien Malka,
Gromov-Wasserstein Optimal Transport for Heterogeneous Domain Adaptation with
Nicolas Courty, Master student, ENS Paris, 2020.
- Adam Hessas,
Coronography optimization for direct exo-planet imaging with Mamadou N’Diaye, Master student, Ecole Centrale de Lyon, 2019.
- Mircea Moscu,
Deep learning for astronomical image reconstruction, Master student, Université Côte d'Azur, 2017.
- Ioana Boian,
Analysing the granulation in red supergiant stars, with Andrea Chiavassa, Master final project, Erasmus, University of Glasgow, 2014-2015.
- Ibrahim El Khalil Harrane,
Periodic discrimination for multitemporal data, Master student, Université Côte d'Azur, 2015.
Co-authors
This is a list of all my co-authors generated automatically from my publications.