Publications

Interpretability of Riemannian tools used in Brain Computer Interfaces

TdS, Tristan Venot, Marie-Constance Corsi, Florian Yger
Published in IEEE Machine Learning For Signal Processing (MLSP), 2025
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Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices

TdS, Fabien Lotte, Sylvain Chevallier and Florian Yger
Published in International Conference on Machine Learning (ICML), 2025
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Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices

TdS, Sylvain Chevallier, Fabien Lotte and Florian Yger
Published in Transactions on Machine Learning Research, 2025
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Averaging trajectories on the manifold of symmetric positive definite matrices

TdS, Florian Yger, Sylvain Chevallier and Fabien Lotte
Published in EUSIPCO, 2024
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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 Chazal
Published in Proceedings of Topological, Algebraic, and Geometric Learning Workshops, 2022
Download paper | HAL | arXiv

Thibault de Surrel