Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach

8 May 2023

Papers citing "Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach"

8 / 8 papers shown

Title
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 41 0 0 26 Apr 2025
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry Rui Wang Shaocheng Jin Ziheng Chen Xiaoqing Luo Xiao Wu 46 0 0 01 Apr 2025
RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen Yue Song Rui Wang Xiaojun Wu N. Sebe 43 2 0 28 Sep 2024
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds Ziheng Chen Yue Song Xiao-Jun Wu N. Sebe 48 2 0 02 Jul 2024
Matrix Manifold Neural Networks++ Xuan Son Nguyen Shuo Yang A. Histace 34 5 0 29 May 2024
A Lie Group Approach to Riemannian Batch Normalization Ziheng Chen Yue Song Yunmei Liu N. Sebe BDL 55 6 0 17 Mar 2024
Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen Yue Song Gaowen Liu Ramana Rao Kompella Xiaojun Wu N. Sebe 43 4 0 18 May 2023
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016