Log-Euclidean geometries

New framework unifies Riemannian deep learning modules and geometries

A new thesis proposes a unified framework for Riemannian deep learning, addressing challenges with manifold-valued representations. The work introduces reusable neural modules, manifold-specific network architectures, a…