Bayesian Inference in Physics-Based Nonlinear Flame Models

no code implementations • NeurIPS Workshop Deep_Invers 2021 • Maximilian L. Croci, Ushnish Sengupta, Matthew P Juniper

The ensemble learns a surrogate of the approximate Bayesian posterior of the parameters given the observations, from which the flame can be re-simulated beyond the observation window of the experiment.

Bayesian Inference