$Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d,γ_d)$$

Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d,γ_d)$

13 November 2021

Papers citing "Deep Learning in High Dimension: Neural Network Approximation of Analytic Functions in $L^2(\mathbb{R}^d,γ_d)$"

4 / 4 papers shown

Title
Deep Neural Network Approximation Theory Dennis Elbrächter Dmytro Perekrestenko Philipp Grohs Helmut Bölcskei 47 210 0 08 Jan 2019
Optimal approximation of continuous functions by very deep ReLU networks Dmitry Yarotsky 162 293 0 10 Feb 2018
Optimal approximation of piecewise smooth functions using deep ReLU neural networks P. Petersen Felix Voigtländer 205 475 0 15 Sep 2017
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 177 1,226 0 03 Oct 2016