Parametric information geometry with the package Geomstats

no code implementations • 21 Nov 2022 • Alice Le Brigant, Jules Deschamps, Antoine Collas, Nina Miolane

We introduce the information geometry module of the Python package Geomstats.

Classifying histograms of medical data using information geometry of beta distributions

no code implementations • 3 Jun 2020 • Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel

In this paper, we use tools of information geometry to compare, average and classify histograms.

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

1 code implementation • ICLR 2019 • Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan Holmes, Xavier Pennec

We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matrices, Lie groups of transformations, and many more.

BIG-bench Machine Learning Clustering +2