  In this work we propose a hybrid solver to solve partial differential
equation (PDE)s in the latent space. The solver uses an iterative inferencing
strategy combined with solution initialization to improve generalization of PDE
solutions. The solver is tested on an engineering case and the results show
that it can generalize well to several PDE conditions.
