Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure

13 June 2024

Papers citing "Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure"

18 / 18 papers shown

Title
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Clément Bonet Benoit Malézieux A. Rakotomamonjy Lucas Drumetz Thomas Moreau M. Kowalski Nicolas Courty 83 16 0 10 Mar 2023
Learning Graphical Factor Models with Riemannian Optimization Alexandre Hippert-Ferrer Florent Bouchard A. Mian Titouan Vayer A. Breloy 51 10 0 21 Oct 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 103 3 0 15 Jan 2022
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 235 234 0 23 Mar 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 65 323 0 15 Dec 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,021 0 22 Dec 2019
GLAD: Learning Sparse Graph Recovery H. Shrivastava Xinshi Chen Binghong Chen Guanghui Lan Srinvas Aluru Han Liu Le Song CML 51 36 0 01 Jun 2019
A neural network based on SPD manifold learning for skeleton-based hand gesture recognition X. Nguyen Luc Brun O. Lézoray Sébastien Bougleux 3DH 56 119 0 29 Apr 2019
Learned Primal-dual Reconstruction J. Adler Ozan Oktem MedIm 57 751 0 20 Jul 2017
The Little Engine that Could: Regularization by Denoising (RED) Yaniv Romano Michael Elad P. Milanfar DiffM 71 798 0 09 Nov 2016
A Riemannian Network for SPD Matrix Learning Zhiwu Huang Luc Van Gool 58 397 0 15 Aug 2016
Learning to Discover Sparse Graphical Models Eugene Belilovsky Kyle Kastner Gaël Varoquaux Matthew Blaschko CML 48 30 0 20 May 2016
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration Yunjin Chen Thomas Pock DiffM 50 1,188 0 12 Aug 2015
G-AMA: Sparse Gaussian graphical model estimation via alternating minimization Onkar Dalal B. Rajaratnam 54 26 0 13 May 2014
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation D. Guillot B. Rajaratnam B. T. Rolfs A. Maleki Ian Wong 84 100 0 12 Nov 2012
The Graphical Lasso: New Insights and Alternatives Rahul Mazumder Trevor Hastie 93 289 0 23 Nov 2011
Retaining positive definiteness in thresholded matrices D. Guillot B. Rajaratnam 80 28 0 16 Aug 2011
Shrinkage Algorithms for MMSE Covariance Estimation Yilun Chen A. Wiesel Yonina C. Eldar Alfred Hero 83 478 0 27 Jul 2009