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 |