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On the existence of minimizers in shallow residual ReLU neural network
  optimization landscapes

On the existence of minimizers in shallow residual ReLU neural network optimization landscapes

28 February 2023
Steffen Dereich
Arnulf Jentzen
Sebastian Kassing
ArXivPDFHTML

Papers citing "On the existence of minimizers in shallow residual ReLU neural network optimization landscapes"

6 / 6 papers shown
Title
Finite Samples for Shallow Neural Networks
Finite Samples for Shallow Neural Networks
Yu Xia
Zhiqiang Xu
43
0
0
17 Mar 2025
Non-convergence to global minimizers for Adam and stochastic gradient
  descent optimization and constructions of local minimizers in the training of
  artificial neural networks
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
Arnulf Jentzen
Adrian Riekert
38
4
0
07 Feb 2024
Does a sparse ReLU network training problem always admit an optimum?
Does a sparse ReLU network training problem always admit an optimum?
Quoc-Tung Le
E. Riccietti
Rémi Gribonval
19
2
0
05 Jun 2023
On the existence of optimal shallow feedforward networks with ReLU
  activation
On the existence of optimal shallow feedforward networks with ReLU activation
Steffen Dereich
Sebastian Kassing
30
4
0
06 Mar 2023
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
Convergence of stochastic gradient descent schemes for
  Lojasiewicz-landscapes
Convergence of stochastic gradient descent schemes for Lojasiewicz-landscapes
Steffen Dereich
Sebastian Kassing
34
27
0
16 Feb 2021
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