Monte Carlo Simulation of SDEs using GANs

Jorino van Rhijn, Cornelis W. Oosterlee, Lech A. Grzelak +1

Generative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. We investigate if GANs can…