E-LIB Suche - Ergebnisse für: Jentzen, Arnulf

1

Learning the random variables in Monte Carlo simulations wi..:

Becker, Sebastian ; Jentzen, Arnulf ; Müller, Marvin S..
Mathematical Finance. 34 (2023) 1 - p. 90-150 , 2023

Link: https://doi.org/10.1111/..

2

Overall error analysis for the training of deep neural netw..:

Jentzen, Arnulf ; Welti, Timo
Applied Mathematics and Computation. 455 (2023) - p. 127907 , 2023

Link: https://doi.org/10.1016/..

3

Strong Overall Error Analysis for the Training of Artificia..:

Jentzen, Arnulf ; Riekert, Adrian
Communications in Mathematics and Statistics. , 2023

Link: https://doi.org/10.1007/..

4

Convergence analysis for gradient flows in the training of ..:

Jentzen, Arnulf ; Riekert, Adrian
Journal of Mathematical Analysis and Applications. 517 (2023) 2 - p. 126601 , 2023

Link: https://doi.org/10.1016/..

5

Space-time error estimates for deep neural network approxim..:

Grohs, Philipp ; Hornung, Fabian ; Jentzen, Arnulf.
Advances in Computational Mathematics. 49 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

6

Lower bounds for artificial neural network approximations: ..:

Grohs, Philipp ; Ibragimov, Shokhrukh ; Jentzen, Arnulf.
Journal of Complexity. 77 (2023) - p. 101746 , 2023

Link: https://doi.org/10.1016/..

7

An efficient Monte Carlo scheme for Zakai equations:

Beck, Christian ; Becker, Sebastian ; Cheridito, Patrick..
Communications in Nonlinear Science and Numerical Simulation. 126 (2023) - p. 107438 , 2023

Link: https://doi.org/10.1016/..

8

Deep learning approximations for non-local nonlinear PDEs w..:

Boussange, Victor ; Becker, Sebastian ; Jentzen, Arnulf..
Partial Differential Equations and Applications. 4 (2023) 6 - p. , 2023

Link: https://doi.org/10.1007/..

9

Strong convergence rates for explicit space-time discrete n..:

Becker, Sebastian ; Gess, Benjamin ; Jentzen, Arnulf.
Stochastics and Partial Differential Equations: Analysis and Computations. 11 (2022) 1 - p. 211-268 , 2022

Link: https://doi.org/10.1007/..

10

A proof of convergence for gradient descent in the training..:

Cheridito, Patrick ; Jentzen, Arnulf ; Riekert, Adrian.
Journal of Complexity. 72 (2022) - p. 101646 , 2022

Link: https://doi.org/10.1016/..

11

Efficient Approximation of High-Dimensional Functions With ..:

Cheridito, Patrick ; Jentzen, Arnulf ; Rossmannek, Florian
IEEE Transactions on Neural Networks and Learning Systems. 33 (2022) 7 - p. 3079-3093 , 2022

Link: https://doi.org/10.1109/..

12

A proof of convergence for stochastic gradient descent in t..:

Jentzen, Arnulf ; Riekert, Adrian
Zeitschrift für angewandte Mathematik und Physik. 73 (2022) 5 - p. , 2022

Link: https://doi.org/10.1007/..

13

Deep neural network approximations for solutions of PDEs ba..:

Grohs, Philipp ; Jentzen, Arnulf ; Salimova, Diyora
Partial Differential Equations and Applications. 3 (2022) 4 - p. , 2022

Link: https://doi.org/10.1007/..

14

Landscape Analysis for Shallow Neural Networks: Complete Cl..:

Cheridito, Patrick ; Jentzen, Arnulf ; Rossmannek, Florian
Journal of Nonlinear Science. 32 (2022) 5 - p. , 2022

Link: https://doi.org/10.1007/..

15

Spatial Sobolev regularity for stochastic Burgers equations..:

Jentzen, Arnulf ; Lindner, Felix ; Pušnik, Primož
Nonlinear Analysis. 210 (2021) - p. 112310 , 2021

Link: https://doi.org/10.1016/..