Noun prototypes are generated in an unsupervised manner and contextual pronoun features are trained to select prototypes. As such, the network remains noun-agnostic during inference.

Explaining model behavior has emerged as a central goal within ML.

MSLs are showcased in long horizon optimal control of ODEs and PDEs and as latent models for sequence generation.