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On the Omnipresence of Spurious Local Minima in Certain Neural Network
  Training Problems

On the Omnipresence of Spurious Local Minima in Certain Neural Network Training Problems

23 February 2022
C. Christof
Julia Kowalczyk
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Papers citing "On the Omnipresence of Spurious Local Minima in Certain Neural Network Training Problems"

6 / 6 papers shown
Title
Non-convergence to the optimal risk for Adam and stochastic gradient descent optimization in the training of deep neural networks
Thang Do
Arnulf Jentzen
Adrian Riekert
58
1
0
03 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
41
4
0
07 Feb 2024
On the Impact of Overparameterization on the Training of a Shallow
  Neural Network in High Dimensions
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
Simon Martin
Francis Bach
Giulio Biroli
31
9
0
07 Nov 2023
On the Identification and Optimization of Nonsmooth Superposition
  Operators in Semilinear Elliptic PDEs
On the Identification and Optimization of Nonsmooth Superposition Operators in Semilinear Elliptic PDEs
C. Christof
Julia Kowalczyk
9
1
0
08 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
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
Steffen Dereich
Arnulf Jentzen
Sebastian Kassing
29
6
0
28 Feb 2023
1