Towards a regularity theory for ReLU networks -- chain rule and global error estimates

13 May 2019

Papers citing "Towards a regularity theory for ReLU networks -- chain rule and global error estimates"

3 / 3 papers shown

Title
$Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms$ Error bounds for approximations with deep ReLU neural networks in $W^{s,p}$ norms Ingo Gühring Gitta Kutyniok P. Petersen 76 199 0 21 Feb 2019
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 162 293 0 10 Feb 2018
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 115 1,380 0 30 Sep 2017