Regularity and tailored regularization of Deep Neural Networks, with application to parametric PDEs in uncertainty quantification

Alexander Keller, Frances Y. Kuo, Dirk Nuyens +1

In this paper we consider Deep Neural Networks (DNNs) with a smooth activation function as surrogates for high-dimensional functions that are somewhat smooth but costly to evaluate…