Rémi Flamary

People

Students and Post-docs

Here is a list of past and current students and collaborators.

Post-docs

• Thibaut Germain with Karim Lounici, École Polytechnique, 2025-2027.
• Antoine Collas with Alexandre Gramfort, INRIA, 2022-2024.
• Camille Le Coz with Alexis Tantet, CNRS IMPT, 2022-2024.
• Binh T. Nguyen with Florence d'Alché Buc and Gabriel Peyré, Chair Data Science and Artificial Intelligence for Digitalised Industry and Services, 2022-2023.
• Hicham Janati, ANR OATMIL, 2021-2022.

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

• Nail Khelifa,Modeling graph dynamics with OT, with Florence d'Alché Buc and Charlotte Laclau, Master student, ENSAE, 2025.
• 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.