Mixture Density Nonlinear Manifold Decoder for Emulating Stochastic Simulators and One-Shot Uncertainty Propagation

Abstract

AbstractWe propose a neural operator framework, termed mixture density nonlinear manifold decoder (MD-NOMAD), for emulating the conditional response distribution of stochastic simulators. Our framework leverages an amalgamation of the pointwise operator ...