2022
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
ICLR 2022poster
Modeling dynamical systems combining prior physical knowledge and machine learning (ML) is promising in scientific problems when the underlying processes are not fully understood, e.g. when the dynamics is partially known. A common practice to identify the respective parameters of the physical and M…