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Posts
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preprints
publications
RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds
TdS, Felix Hensel, Mathieu Carrière, Théo Lacombe, Yuichi Ike, Hiroaki Kurihara, Marc Glisse and Frédéric ChazalPublished in Proceedings of Topological, Algebraic, and Geometric Learning Workshops, 2022
Download paper | HAL | arXiv
Averaging trajectories on the manifold of symmetric positive definite matrices
TdS, Florian Yger, Sylvain Chevallier and Fabien LottePublished in EUSIPCO, 2024
Download paper | HAL
Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices
TdS, Sylvain Chevallier, Fabien Lotte and Florian YgerPublished in Transactions on Machine Learning Research, 2025
Download paper | HAL
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
TdS, Fabien Lotte, Sylvain Chevallier and Florian YgerPublished in International Conference on Machine Learning (ICML), 2025
Download paper | HAL
teaching
Méthodes numériques - Introduction à l’analyse numérique et au calcul scientifique
TD/TP - Licence 2, Université Paris Dauphine-PSL, 2024
Statistiques mathématiques
TD - Licence 3, Université Paris Dauphine-PSL, 2024