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The universal approximation theorem for complex-valued neural networks

The universal approximation theorem for complex-valued neural networks

6 December 2020
F. Voigtlaender
ArXivPDFHTML

Papers citing "The universal approximation theorem for complex-valued neural networks"

16 / 16 papers shown
Title
Deep Network Approximation for Smooth Functions
Deep Network Approximation for Smooth Functions
Jianfeng Lu
Zuowei Shen
Haizhao Yang
Shijun Zhang
97
247
0
09 Jan 2020
The phase diagram of approximation rates for deep neural networks
The phase diagram of approximation rates for deep neural networks
Dmitry Yarotsky
Anton Zhevnerchuk
59
121
0
22 Jun 2019
Universal Approximation with Deep Narrow Networks
Universal Approximation with Deep Narrow Networks
Patrick Kidger
Terry Lyons
121
330
0
21 May 2019
Approximation spaces of deep neural networks
Approximation spaces of deep neural networks
Rémi Gribonval
Gitta Kutyniok
M. Nielsen
Felix Voigtländer
78
125
0
03 May 2019
Equivalence of approximation by convolutional neural networks and
  fully-connected networks
Equivalence of approximation by convolutional neural networks and fully-connected networks
P. Petersen
Felix Voigtländer
54
79
0
04 Sep 2018
ResNet with one-neuron hidden layers is a Universal Approximator
ResNet with one-neuron hidden layers is a Universal Approximator
Hongzhou Lin
Stefanie Jegelka
105
228
0
28 Jun 2018
Complex Gated Recurrent Neural Networks
Complex Gated Recurrent Neural Networks
Moritz Wolter
Angela Yao
AI4CE
53
65
0
21 Jun 2018
Universality of Deep Convolutional Neural Networks
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
412
514
0
28 May 2018
Universal approximations of invariant maps by neural networks
Universal approximations of invariant maps by neural networks
Dmitry Yarotsky
124
213
0
26 Apr 2018
Optimal approximation of piecewise smooth functions using deep ReLU
  neural networks
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
P. Petersen
Felix Voigtländer
221
475
0
15 Sep 2017
The Expressive Power of Neural Networks: A View from the Width
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
96
894
0
08 Sep 2017
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
Better than Real: Complex-valued Neural Nets for MRI Fingerprinting
P. Virtue
Stella X. Yu
Michael Lustig
MedIm
65
162
0
01 Jul 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
178
833
0
27 May 2017
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
193
1,227
0
03 Oct 2016
A mathematical motivation for complex-valued convolutional networks
A mathematical motivation for complex-valued convolutional networks
Joan Bruna
Soumith Chintala
Yann LeCun
Serkan Piantino
Arthur Szlam
M. Tygert
54
104
0
11 Mar 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
431
20,541
0
10 Sep 2014
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