A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold

16 February 2023

Papers citing "A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold"

5 / 5 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 72 0 0 26 Mar 2025
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 63 90 0 23 Oct 2020
Optimization on Submanifolds of Convolution Kernels in CNNs Mete Ozay Takayuki Okatani 43 46 0 22 Oct 2016
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 51 84 0 20 Oct 2016
Learning Unitary Operators with Help From u(n) Stephanie L. Hyland Gunnar Rätsch 89 41 0 17 Jul 2016