|
|
Permutation-invariant log-Euclidean geometries on full-rank correlation matrices
Yann Thanwerdas
2022
Preprints, Working Papers, ...
hal-03878729v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
O(n)-invariant Riemannian metrics on SPD matrices
Yann Thanwerdas
,
Xavier Pennec
Journal articles
hal-03338601v3
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane
,
Nicolas Guigui
,
Alice Le Brigant
,
Johan Mathe
,
Benjamin Hou
,
et al.
Journal of Machine Learning Research, 2020, 21 (223), pp.1-9
Journal articles
hal-02536154v2
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Is affine invariance well defined on SPD matrices? A principled continuum of metrics
Yann Thanwerdas
,
Xavier Pennec
Conference papers
hal-02147020v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Theoretically and computationally convenient geometries on full-rank correlation matrices
Yann Thanwerdas
,
Xavier Pennec
Journal articles
hal-03527072v2
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices
Yann Thanwerdas
,
Xavier Pennec
Conference papers
hal-03157992v3
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Bures-Wasserstein minimizing geodesics between covariance matrices of different ranks
Yann Thanwerdas
,
Xavier Pennec
Journal articles
hal-03647321v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
Exploration of Balanced Metrics on Symmetric Positive Definite Matrices
Yann Thanwerdas
,
Xavier Pennec
Conference papers
hal-02158525v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|
|
|
The geometry of mixed-Euclidean metrics on symmetric positive definite matrices
Yann Thanwerdas
,
Xavier Pennec
Journal articles
hal-03414887v1
|
Share
Gmail
Facebook
Twitter
LinkedIn
More
|