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Machine learning approximation algorithms for high-dimensional fully
  nonlinear partial differential equations and second-order backward stochastic
  differential equations

Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations

18 September 2017
C. Beck
Weinan E
Arnulf Jentzen
ArXivPDFHTML

Papers citing "Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations"

2 / 52 papers shown
Title
Trainability and Accuracy of Neural Networks: An Interacting Particle
  System Approach
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff
Eric Vanden-Eijnden
68
118
0
02 May 2018
Forward-Backward Stochastic Neural Networks: Deep Learning of
  High-dimensional Partial Differential Equations
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
M. Raissi
36
184
0
19 Apr 2018
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