Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling

A technical challenge in deep gray-box modeling is to ensure an appropriate use of physics models. A careless design of models and learning can lead to an erratic behavior of the components meant to represent physics (e.g., with erroneous estimation of physics parameters), and eventually, the overall