| Nov 24, 2023 |  I gave a talk at the MAP5 lab PhDs’ seminar about the existence of Monge maps for the Gromov–Wasserstein problem (slides, paper). |
| Nov 24, 2023 | I gave a short talk at the Oberwolfach seminar Variational and information flows in machine learning and optimal transport about the existence of Monge maps for the Gromov–Wasserstein problem (slides, paper). |
| Nov 8, 2023 | I gave a talk at the MAP5 lab about the infinite-dimensional Riemannian geometry of optimal transport, for the shape analysis seminar in Paris (slides, video). |
| Sep, 2023 |  I officially started my PhD at the LIGM under the supervision of François-Xavier Vialard and Théo Lacombe! I will be studying the geometry of some optimal transport problems. |
| May, 2023 | I joined Chalmers University of Technology for a research experience in geometric hydrodynamics under the supervision of Klas Modin. |
| Mar, 2023 |  Our paper Modular Memorability: Tiered Representations for Video Memorability Prediction with Juan S. Hevia and Camilo Fosco has been accepted to CVPR 2023 (code here). |
| Nov, 2022 | I joined NTU Singapore for a research experience in infinite-dimensional Riemannian geometry applied to deep learning under the supervision of Philipp Harms. |
| Oct, 2022 | Our preprint On the existence of Monge maps for the Gromov-Wasserstein problem with Théo Lacombe and François-Xavier Vialard is available on arxiv. |
| Jun, 2022 | My notes for the series of lectures An optimization perspective on sampling using optimal transport given by Philippe Rigollet at Sorbonne Université are available here. |
| Apr, 2022 | I joined the LIGM at Université Gustave Eiffel for a research internship in optimal transport under the supervision of François-Xavier Vialard and Théo Lacombe. |