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A deep branching solver for fully nonlinear partial differential
  equations

A deep branching solver for fully nonlinear partial differential equations

7 March 2022
Jiang Yu Nguwi
Guillaume Penent
Nicolas Privault
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Papers citing "A deep branching solver for fully nonlinear partial differential equations"

3 / 3 papers shown
Title
Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in $L^p$-sense
Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in LpL^pLp-sense
Ariel Neufeld
Tuan Anh Nguyen
42
0
0
30 Sep 2024
Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs
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
kStatistics: Unbiased Estimates of Joint Cumulant Products from the
  Multivariate Faà Di Bruno's Formula
kStatistics: Unbiased Estimates of Joint Cumulant Products from the Multivariate Faà Di Bruno's Formula
E. Nardo
G. Guarino
11
5
0
30 Jun 2022
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