Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems

28 August 2022

Papers citing "Neural Network Approximation of Continuous Functions in High Dimensions with Applications to Inverse Problems"

8 / 8 papers shown

Title
Equivalence of approximation by convolutional neural networks and fully-connected networks P. Petersen Felix Voigtländer 43 78 0 04 Sep 2018
Universality of Deep Convolutional Neural Networks Ding-Xuan Zhou HAI PINN 270 514 0 28 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 81 210 0 26 Apr 2018
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 141 293 0 10 Feb 2018
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks Orest Kupyn Volodymyr Budzan Mykola Mykhailych Dmytro Mishkin Jirí Matas 3DV 65 1,457 0 19 Nov 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Federico Monti M. Bronstein Xavier Bresson GNN 125 519 0 22 Apr 2017
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring Seungjun Nah Tae Hyun Kim Kyoung Mu Lee 133 1,959 0 07 Dec 2016
Neural Network Matrix Factorization Gintare Karolina Dziugaite Daniel M. Roy 43 176 0 19 Nov 2015