Works matching IS 01764276 AND DT 2022 AND VI 55 AND IP 1

Results: 12

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 73, doi. 10.1007/s00365-021-09551-4

By:

Kutyniok, Gitta;
Petersen, Philipp;
Raslan, Mones;
Schneider, Reinhold

Publication type:

Article

Robust and Resource-Efficient Identification of Two Hidden Layer Neural Networks.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 475, doi. 10.1007/s00365-021-09550-5

By:

Fornasier, Massimo;
Klock, Timo;
Rauchensteiner, Michael

Publication type:

Article

The Barron Space and the Flow-Induced Function Spaces for Neural Network Models.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 369, doi. 10.1007/s00365-021-09549-y

By:

E, Weinan;
Ma, Chao;
Wu, Lei

Publication type:

Article

Nonlinear Approximation and (Deep) ReLU Networks.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 127, doi. 10.1007/s00365-021-09548-z

By:

Daubechies, I.;
DeVore, R.;
Foucart, S.;
Hanin, B.;
Petrova, G.

Publication type:

Article

CA Special Issue on Neural Network Approximation.

Published in:

2022

By:

Dahmen, Wolfgang;
DeVore, Ronald A.;
Grohs, Philipp

Publication type:

Editorial

Universal Approximations of Invariant Maps by Neural Networks.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 407, doi. 10.1007/s00365-021-09546-1

By:

Yarotsky, Dmitry

Publication type:

Article

Best k-Layer Neural Network Approximations.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 583, doi. 10.1007/s00365-021-09545-2

By:

Lim, Lek-Heng;
Michałek, Mateusz;
Qi, Yang

Publication type:

Article

Neural Network Identifiability for a Family of Sigmoidal Nonlinearities.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 173, doi. 10.1007/s00365-021-09544-3

By:

Vlačić, Verner;
Bölcskei, Helmut

Publication type:

Article

Approximation Spaces of Deep Neural Networks.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 259, doi. 10.1007/s00365-021-09543-4

By:

Gribonval, Rémi;
Kutyniok, Gitta;
Nielsen, Morten;
Voigtlaender, Felix

Publication type:

Article

Exponential ReLU DNN Expression of Holomorphic Maps in High Dimension.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 537, doi. 10.1007/s00365-021-09542-5

By:

Opschoor, J. A. A.;
Schwab, Ch.;
Zech, J.

Publication type:

Article

DNN Expression Rate Analysis of High-Dimensional PDEs: Application to Option Pricing.

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 3, doi. 10.1007/s00365-021-09541-6

By:

Elbrächter, Dennis;
Grohs, Philipp;
Jentzen, Arnulf;
Schwab, Christoph

Publication type:

Article

Depth Separations in Neural Networks: What is Actually Being Separated?

Published in:

Constructive Approximation, 2022, v. 55, n. 1, p. 225, doi. 10.1007/s00365-021-09532-7

By:

Safran, Itay;
Eldan, Ronen;
Shamir, Ohad

Publication type:

Article