| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Approximation Spaces of Deep Neural Networks
|
Gribonval, Rémi
|
|
|
55 |
1 |
p. 259-367
|
artikel
|
| 2 |
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
|
Kutyniok, Gitta
|
|
|
55 |
1 |
p. 73-125
|
artikel
|
| 3 |
Best k-Layer Neural Network Approximations
|
Lim, Lek-Heng
|
|
|
55 |
1 |
p. 583-604
|
artikel
|
| 4 |
CA Special Issue on Neural Network Approximation
|
Dahmen, Wolfgang
|
|
|
55 |
1 |
p. 1-2
|
artikel
|
| 5 |
Depth Separations in Neural Networks: What is Actually Being Separated?
|
Safran, Itay
|
|
|
55 |
1 |
p. 225-257
|
artikel
|
| 6 |
DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing
|
Elbrächter, Dennis
|
|
|
55 |
1 |
p. 3-71
|
artikel
|
| 7 |
Exponential ReLU DNN Expression of Holomorphic Maps in High Dimension
|
Opschoor, J. A. A.
|
|
|
55 |
1 |
p. 537-582
|
artikel
|
| 8 |
Neural Network Identifiability for a Family of Sigmoidal Nonlinearities
|
Vlačić, Verner
|
|
|
55 |
1 |
p. 173-224
|
artikel
|
| 9 |
Nonlinear Approximation and (Deep) ReLU Networks
|
Daubechies, I.
|
|
|
55 |
1 |
p. 127-172
|
artikel
|
| 10 |
Robust and Resource-Efficient Identification of Two Hidden Layer Neural Networks
|
Fornasier, Massimo
|
|
|
55 |
1 |
p. 475-536
|
artikel
|
| 11 |
The Barron Space and the Flow-Induced Function Spaces for Neural Network Models
|
E, Weinan
|
|
|
55 |
1 |
p. 369-406
|
artikel
|
| 12 |
Universal Approximations of Invariant Maps by Neural Networks
|
Yarotsky, Dmitry
|
|
|
55 |
1 |
p. 407-474
|
artikel
|
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