| 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 | 111 | 2020 |
| Computing distances and geodesics between manifold-valued curves in the SRV framework AL Brigant arXiv preprint arXiv:1601.02358, 2016 | 30 | 2016 |
| Fisher-Rao geometry of Dirichlet distributions A Le Brigant, SC Preston, S Puechmorel Differential Geometry and its Applications 74, 101702, 2021 | 23 | 2021 |
| 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 | 23 | 2019 |
| 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 |
| 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 | 14 | 2019 |
| 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 | 13 | 2020 |
| Approximation of densities on Riemannian manifolds A Le Brigant, S Puechmorel Entropy 21 (1), 43, 2019 | 12 | 2019 |
| Optimal Riemannian quantization with an application to air traffic analysis AL Brigant, S Puechmorel arXiv preprint arXiv:1806.07605, 2018 | 12 | 2018 |
| Probability on the spaces of curves and the associated metric spaces via information geometry; radar applications A Le Brigant Université de Bordeaux, 2017 | 8 | 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 | 8 | 2016 |
| 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 | 7 | 2021 |
| 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 |
| 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 | 5 | 2023 |
| 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 | |
| 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 |
| 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 | 2 | 2024 |
| 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), 56, 2024 | 2 | 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 |