96 citations · 108 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 96 cited
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Alice Le Brigant, Johan Mathe +16
We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matri…
math.DG2019
Exploration of Balanced Metrics on Symmetric Positive Definite Matrices
Yann Thanwerdas, Xavier Pennec
Symmetric Positive Definite (SPD) matrices have been used in many fields of medical data analysis. Many Riemannian metrics have been defined on this manifold but the choice of the…
math.DG2019★ 12 cited
Is affine invariance well defined on SPD matrices? A principled continuum of metrics
Yann Thanwerdas, Xavier Pennec
Symmetric Positive Definite (SPD) matrices have been widely used in medical data analysis and a number of different Riemannian met-rics were proposed to compute with them. However,…