SUMMARY The advent of fast sensing technologies allow for real-time model updates in many applications where the parameters are uncertain. Once observations collected, Bayesian algorithms offer a pathway inversion (a.k.a. parameters/inputs update) because flexibility framework against non-uniqueness and uncertainties. However, rely on repeated evaluation computational models deep learning (DL) ...