Accurate, scalable, and efficient Bayesian optimal experimental design with derivative-informed neural operators

Jinwoo Go, Peng Chen

We consider optimal experimental design (OED) problems in selecting the most informative observation sensors to estimate model parameters in a Bayesian framework. Such problems are…