Exploration of Balanced Metrics on Symmetric Positive Definite Matrices. - Yann Thanwerdas; Xavier Pennec (GSI, 2019)

Is Affine-Invariance Well Defined on SPD Matrices? A Principled Continuum of Metrics. - Yann Thanwerdas; Xavier Pennec (GSI, 2019)

Introduction to Geometric Learning in Python with Geomstats. - Nina Miolane; Nicolas Guigui; Hadi Zaatiti; Christian Shewmake; Hatem Hajri; Daniel Brooks; Alice Le Brigant; Johan Mathe; Benjamin Hou; Yann Thanwerdas; Stefan Heyder; Olivier Peltre; et al. (SciPy, 2020)

Geomstats: A Python Package for Riemannian Geometry in Machine Learning. - 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; et al. (CoRR, 2020)

Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices. - Yann Thanwerdas; Xavier Pennec (GSI, 2021)

Theoretically and Computationally Convenient Geometries on Full-Rank Correlation Matrices. - Yann Thanwerdas; Xavier Pennec (SIAM J. Matrix Anal. Appl., 2022)

Characterization of Invariant Inner Products. - Yann Thanwerdas; Xavier Pennec (GSI (1), 2023)

Bures-Wasserstein Minimizing Geodesics between Covariance Matrices of Different Ranks. - Yann Thanwerdas; Xavier Pennec (SIAM J. Matrix Anal. Appl., 2023)

Permutation-Invariant Log-Euclidean Geometries on Full-Rank Correlation Matrices. - Yann Thanwerdas (SIAM J. Matrix Anal. Appl., 2024)