Fully probabilistic deep models for forward and inverse problems in parametric PDEs

Arnaud Vadeboncoeur, Ömer Deniz Akyildiz, Ieva Kazlauskaite +2

We introduce a physics-driven deep latent variable model (PDDLVM) to learn simultaneously parameter-to-solution (forward) and solution-to-parameter (inverse) maps of parametric par…