Differential geometry and stochastic dynamics with deep learning numerics

22 December 2017

Papers citing "Differential geometry and stochastic dynamics with deep learning numerics"

5 / 5 papers shown

Title
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations Z. Hajimohammadi Kourosh Parand A. Ghodsi 33 4 0 27 Jun 2021
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 23 11 0 13 Sep 2019
String Methods for Stochastic Image and Shape Matching Alexis Arnaudon Darryl D. Holm Stefan Sommer 8 4 0 15 May 2018
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