#machine learning
Dec 2020
Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems
A deep learning based approximation algorithm for solutions of stochastic partial differential equations (SPDEs) using a deep neural network for every realization of the driving noise process of a SPDE to approximate the solution process of the SPDE under consideration.
C. Beck, S. Becker, Patrick Cheridito et al.
· arXiv.org · 16 citations
· ⚡2