activity
20242026
most citedUnderstanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing math.DGShow all

1 paper · 1 filter

math.DG2024

Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry

Ziheng Chen, Yue Song, Xiao-Jun Wu +1

Recent advances in Symmetric Positive Definite (SPD) matrix learning show that Riemannian metrics are fundamental to effective SPD neural networks. Motivated by this, we revisit th…