activity
20152025
most citedComputing distances and geodesics between manifold-valued curves in the SRV framework

22 citations · 46 across the 9 of their papers we have counts for

collaborators

11 papers

stat.ML2025

On the Wasserstein Geodesic Principal Component Analysis of probability measures

Nina Vesseron, Elsa Cazelles, Alice Le Brigant +1

This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesi…

math.DG2024

Conjugate points on Lie groups with left-invariant metrics

Alice Le Brigant, Leandro Lichtenfelz, Stephen C. Preston

We prove sufficient conditions for the existence of conjugate points along geodesics of a left-invariant metric on a Lie group, using a reformulation of the index form in terms of…

cs.GR2024

Learning from landmarks, curves, surfaces, and shapes in Geomstats

Luís F. Pereira, Alice Le Brigant, Adele Myers +7

We introduce the shape module of the Python package Geomstats to analyze shapes of objects represented as landmarks, curves and surfaces across fields of natural sciences and engin…

math.DG2024

Optimal matching between curves in a manifold

Alice Le Brigant, Marc Arnaudon, Frédéric Barbaresco

This paper is concerned with the computation of an optimal matching between two manifold-valued curves. Curves are seen as elements of an infinite-dimensional manifold and compared…

math.DG2023★ 6 cited

The -Fisher-Rao metric and Amari-Cencov -connections

Martin Bauer, Alice Le Brigant, Yuxiu Lu +1

We introduce a family of Finsler metrics, called the -Fisher-Rao metrics , for , which generalizes the classical Fisher-Rao metric , both on the spa…

math.DG2023

Conjugate points along Kolmogorov flows on the torus

Alice Le Brigant, Stephen C. Preston

The geodesics in the group of volume-preserving diffeomorphisms (volumorphisms) of a manifold , for a Riemannian metric defined by the kinetic energy, can be used to model the m…

stat.ML2020★ 3 cited

Classifying histograms of medical data using information geometry of beta distributions

Alice Le Brigant, Nicolas Guigui, Sana Rebbah +1

In this paper, we use tools of information geometry to compare, average and classify histograms. Beta distributions are fitted to the histograms and the corresponding Fisher inform…

math.DG2020★ 15 cited

Fisher-Rao geometry of Dirichlet distributions

Alice Le Brigant, Stephen Preston, Stéphane Puechmorel

In this paper, we study the geometry induced by the Fisher-Rao metric on the parameter space of Dirichlet distributions. We show that this space is geodesically complete and has ev…

math.DG2017

A discrete framework to find the optimal matching between manifold-valued curves

Alice Le Brigant

The aim of this paper is to find an optimal matching between manifold-valued curves, and thereby adequately compare their shapes, seen as equivalent classes with respect to the act…

math.DG2016★ 22 cited

Computing distances and geodesics between manifold-valued curves in the SRV framework

Alice Le Brigant

This paper focuses on the study of open curves in a Riemannian manifold M, and proposes a reparametrization invariant metric on the space of such paths. We use the square root velo…

math.DG2015

Reparameterization invariant metric on the space of curves

Alice Le Brigant, Marc Arnaudon, Frédéric Barbaresco

This paper focuses on the study of open curves in a manifold M, and proposes a reparameterization invariant metric on the space of such paths. We use the square root velocity funct…