Geomstats: a Python package for Riemannian geometry in machine learning N Miolane, N Guigui, A Le Brigant, J Mathe, B Hou, Y Thanwerdas, ...
Journal of Machine Learning Research 21 (223), 1-9, 2020
87 2020 Computing distances and geodesics between manifold-valued curves in the SRV framework AL Brigant
arXiv preprint arXiv:1601.02358, 2016
31 2016 A discrete framework to find the optimal matching between manifold-valued curves A Le Brigant
Journal of Mathematical Imaging and Vision 61 (1), 40-70, 2019
20 2019 Fisher-Rao geometry of Dirichlet distributions A Le Brigant, SC Preston, S Puechmorel
Differential Geometry and its Applications 74, 101702, 2021
18 2021 Reparameterization invariant metric on the space of curves A Le Brigant, M Arnaudon, F Barbaresco
Geometric Science of Information: Second International Conference, GSI 2015 …, 2015
16 2015 Introduction to geometric learning in python with geomstats N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ...
SciPy 2020-19th Python in Science Conference, 48-57, 2020
12 2020 Quantization and clustering on Riemannian manifolds with an application to air traffic analysis A Le Brigant, S Puechmorel
Journal of Multivariate Analysis 173, 685-703, 2019
11 2019 Optimal Riemannian quantization with an application to air traffic analysis AL Brigant, S Puechmorel
arXiv preprint arXiv:1806.07605, 2018
10 2018 Probability on the spaces of curves and the associated metric spaces via information geometry; radar applications A Le Brigant
Université de Bordeaux, 2017
9 2017 Geometric barycenters of time/Doppler spectra for the recognition of non-stationary targets A Le Brigant, F Barbaresco, M Arnaudon
2016 17th International Radar Symposium (IRS), 1-6, 2016
9 2016 Approximation of densities on Riemannian manifolds A Le Brigant, S Puechmorel
Entropy 21 (1), 43, 2019
7 2019 Classifying histograms of medical data using information geometry of beta distributions A Le Brigant, N Guigui, S Rebbah, S Puechmorel
IFAC-PapersOnLine 54 (9), 514-520, 2021
6 2021 Geomstats: A Python Package for Riemannian Geometry in Machine Learning. 2020 N Miolane, A Le Brigant, Y Cabanes
arXiv preprint arXiv:2004.04667, 0
5 Intrinsic riemannian metrics on spaces of curves: Theory and computation M Bauer, N Charon, E Klassen, A Le Brigant
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021
4 2021 Reparameterization invariant distance on the space of curves in the hyperbolic plane A Le Brigant, M Arnaudon, F Barbaresco
AIP Conference Proceedings 1641 (1), 504-511, 2015
4 2015 Parametric information geometry with the package Geomstats A Le Brigant, J Deschamps, A Collas, N Miolane
ACM Transactions on Mathematical Software 49 (4), 1-26, 2023
3 2023 Optimal matching between curves in a manifold A Le Brigant, M Arnaudon, F Barbaresco
Geometric Science of Information: Third International Conference, GSI 2017 …, 2017
3 2017 Conjugate points along Kolmogorov flows on the torus A Le Brigant, SC Preston
Journal of Mathematical Fluid Mechanics 26 (2), 24, 2024
1 2024 The Fisher-Rao geometry of beta distributions applied to the study of canonical moments AL Brigant, S Puechmorel
arXiv preprint arXiv:1904.08247, 2019
1 2019 The -Fisher–Rao metric and Amari–C̆encov -Connections M Bauer, A Le Brigant, Y Lu, C Maor
Calculus of Variations and Partial Differential Equations 63 (2), 1-33, 2024
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