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cs.CE2024
Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator
Jinwoo Go, Peng Chen
We develop a new computational framework to solve sequential Bayesian optimal experimental design (SBOED) problems constrained by large-scale partial differential equations with in…
cs.CE2023
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…