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Optimal learning of high-dimensional classification problems using deep
  neural networks

Optimal learning of high-dimensional classification problems using deep neural networks

23 December 2021
P. Petersen
F. Voigtlaender
ArXivPDFHTML

Papers citing "Optimal learning of high-dimensional classification problems using deep neural networks"

4 / 4 papers shown
Title
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Nathanael Tepakbong
Ding-Xuan Zhou
Xiang Zhou
33
0
0
13 May 2025
High-dimensional classification problems with Barron regular boundaries under margin conditions
High-dimensional classification problems with Barron regular boundaries under margin conditions
Jonathan García
Philipp Petersen
74
0
0
10 Dec 2024
A general approximation lower bound in $L^p$ norm, with applications to
  feed-forward neural networks
A general approximation lower bound in LpL^pLp norm, with applications to feed-forward neural networks
E. M. Achour
Armand Foucault
Sébastien Gerchinovitz
Franccois Malgouyres
22
7
0
09 Jun 2022
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
122
142
0
26 Jul 2016
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