Context

We develop graphical conditional generative modeling to identify variables that affect the full conditional distribution of quantities of interest—supporting reduced, interpretable digital-twin surrogates.

Abstract

Digital twin modeling, including control and data assimilation under model …

SIAM AN26 talk on interpretable nonlinear sensitivity analysis for structure discovery and reduced digital-twin modeling.