Vector-valued Distance and Gyrocalculus on the Space of Symmetric
Positive Definite Matrices

Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices

26 October 2021

Beatrice Pozzetti

Steve J. Trettel

Papers citing "Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices"

13 / 13 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
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl Noémie Jaquier Jens Lundell Tamim Asfour Danica Kragic AI4CE 26 0 0 24 Oct 2024
RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen Yue Song Rui Wang Xiaojun Wu N. Sebe 41 2 0 28 Sep 2024
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds Ziheng Chen Yue Song Xiao-Jun Wu N. Sebe 40 2 0 02 Jul 2024
Matrix Manifold Neural Networks++ Xuan Son Nguyen Shuo Yang A. Histace 32 5 0 29 May 2024
Normed Spaces for Graph Embedding Diaaeldin Taha Wei-Ye Zhao J. M. Riestenberg Michael Strube 40 1 0 03 Dec 2023
Riemannian Residual Neural Networks Isay Katsman Eric Chen Sidhanth Holalkere Anna Asch Aaron Lou Ser-Nam Lim Christopher De Sa 18 10 0 16 Oct 2023
Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Weichen Zhao Federico López J. M. Riestenberg Michael Strube Diaaeldin Taha Steve J. Trettel 23 7 0 24 Jun 2023
Riemannian Multinomial Logistics Regression for SPD Neural Networks Ziheng Chen Yue Song Gaowen Liu Ramana Rao Kompella Xiaojun Wu N. Sebe 35 4 0 18 May 2023
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach X. Nguyen Shuo Yang 26 11 0 08 May 2023
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis Sho Sonoda Isao Ishikawa Masahiro Ikeda 13 15 0 03 Mar 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 54 23 0 02 Feb 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016