In this paper we develop a numerical method for efficiently approximatin...
Superstatistics is a general method from nonequilibrium statistical phys...
We consider ordinary differential equations (ODEs) which involve expecta...
It is one of the most challenging problems in applied mathematics to
app...
In this article we introduce and study a deep learning based approximati...
The approximative calculation of iterated nested expectations is a recur...
Recently, so-called full-history recursive multilevel Picard (MLP)
appro...
One of the most challenging problems in applied mathematics is the
appro...
In this paper we introduce a numerical method for parabolic PDEs that
co...
Stochastic differential equations (SDEs) and the Kolmogorov partial
diff...
High-dimensional partial differential equations (PDE) appear in a number...