Data Party THU

Aug 13, 2026 · Artificial Intelligence

Riemannian Deep Learning: Modules, Networks, and Geometry

The article reviews Ziheng Chen’s PhD thesis on Riemannian Deep Learning, outlining a three‑layer framework that unifies manifold‑aware modules, geometry‑specific network designs, and learnable Riemannian metrics, and discusses theoretical foundations, batch normalization, classification heads, specialized networks, and extensive experiments across vision, signal, and graph domains.