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2205.03672
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Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions
7 May 2022
V. Boussange
S. Becker
Arnulf Jentzen
Benno Kuckuck
Loïc Pellissier
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Papers citing
"Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions"
3 / 3 papers shown
Title
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
Ariel Neufeld
Philipp Schmocker
Sizhou Wu
45
7
0
08 May 2024
Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance Mathematics
R. Frey
Verena Köck
42
16
0
23 Sep 2021
An overview on deep learning-based approximation methods for partial differential equations
C. Beck
Martin Hutzenthaler
Arnulf Jentzen
Benno Kuckuck
30
146
0
22 Dec 2020
1