High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations

Pierfrancesco Beneventano, Patrick Cheridito, Arnulf Jentzen +1

In this paper we develop a new machinery to study the capacity of artificial neural networks (ANNs) to approximate high-dimensional functions without suffering from the curse of di…