Differential geometry with extreme eigenvalues in the positive
semidefinite cone

Differential geometry with extreme eigenvalues in the positive semidefinite cone

14 April 2023

Cyrus Mostajeran

Nathael Da Costa

Graham W. Van Goffrier

Papers citing "Differential geometry with extreme eigenvalues in the positive semidefinite cone"

11 / 11 papers shown

Title
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm Berlin Chen Cyrus Mostajeran Salem Said 43 2 0 02 Jul 2022
Riemannian statistics meets random matrix theory: towards learning from high-dimensional covariance matrices Salem Said Simon Heuveline Cyrus Mostajeran 30 8 0 01 Mar 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 111 3 0 15 Jan 2022
Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces Quinten Tupker Salem Said Cyrus Mostajeran 39 6 0 15 Feb 2021
Inductive Geometric Matrix Midranges Graham W. Van Goffrier Cyrus Mostajeran R. Sepulchre 15 3 0 02 Jun 2020
Riemannian batch normalization for SPD neural networks Daniel A. Brooks Olivier Schwander F. Barbaresco J. Schneider Matthieu Cord 55 93 0 03 Sep 2019
geomstats: a Python Package for Riemannian Geometry in Machine Learning Nina Miolane Johan Mathe Claire Donnat Mikael Jorda Xavier Pennec AI4CE 80 128 0 21 May 2018
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices A. Cherian S. Sra 52 119 0 10 Jul 2015
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices Salem Said Lionel Bombrun Y. Berthoumieu J. Manton 47 141 0 07 Jul 2015
Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels Sadeep Jayasumana Leonid Sigal Mathieu Salzmann Hongdong Li Mehrtash Harandi 66 240 0 30 Nov 2014
Manopt, a Matlab toolbox for optimization on manifolds Nicolas Boumal Bamdev Mishra P.-A. Absil R. Sepulchre 99 1,030 0 23 Aug 2013