2022
Capturing actionable dynamics with structured latent ordinary differential equations
UAI 2022poster
End-to-end learning of dynamical systems with black-box models, such as neural ordinary differential equations (ODEs), provides a flexible framework for learning dynamics from data without prescribing a mathematical model for the dynamics. Unfortunately, this flexibility comes at the cost of underst…