Yann Thanwerdas

Orcid: 0000-0002-9351-6318

According to our database1, Yann Thanwerdas authored at least 9 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

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

2023
Bures-Wasserstein Minimizing Geodesics between Covariance Matrices of Different Ranks.
SIAM J. Matrix Anal. Appl., September, 2023

Characterization of Invariant Inner Products.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023

2022
Theoretically and Computationally Convenient Geometries on Full-Rank Correlation Matrices.
SIAM J. Matrix Anal. Appl., December, 2022

2021
Geodesics and Curvature of the Quotient-Affine Metrics on Full-Rank Correlation Matrices.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020
Geomstats: A Python Package for Riemannian Geometry in Machine Learning.
CoRR, 2020

Introduction to Geometric Learning in Python with Geomstats.
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019
Is Affine-Invariance Well Defined on SPD Matrices? A Principled Continuum of Metrics.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Exploration of Balanced Metrics on Symmetric Positive Definite Matrices.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019


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