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Exponential ReLU Neural Network Approximation Rates for Point and Edge
  Singularities

Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities

23 October 2020
C. Marcati
J. Opschoor
P. Petersen
Christoph Schwab
ArXivPDFHTML

Papers citing "Exponential ReLU Neural Network Approximation Rates for Point and Edge Singularities"

6 / 6 papers shown
Title
Deep Kalman Filters Can Filter
Deep Kalman Filters Can Filter
Blanka Hovart
Anastasis Kratsios
Yannick Limmer
Xuwei Yang
50
1
0
31 Dec 2024
Limitations of neural network training due to numerical instability of
  backpropagation
Limitations of neural network training due to numerical instability of backpropagation
Clemens Karner
V. Kazeev
P. Petersen
32
3
0
03 Oct 2022
Approximation results for Gradient Descent trained Shallow Neural
  Networks in $1d$
Approximation results for Gradient Descent trained Shallow Neural Networks in 1d1d1d
R. Gentile
G. Welper
ODL
52
6
0
17 Sep 2022
Neural and spectral operator surrogates: unified construction and
  expression rate bounds
Neural and spectral operator surrogates: unified construction and expression rate bounds
L. Herrmann
Christoph Schwab
Jakob Zech
48
9
0
11 Jul 2022
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
Juncai He
Lin Li
Jinchao Xu
AI4CE
28
30
0
10 May 2021
Deep neural network solution of the electronic Schrödinger equation
Deep neural network solution of the electronic Schrödinger equation
J. Hermann
Zeno Schätzle
Frank Noé
149
446
0
16 Sep 2019
1