Physics-Informed Nonlinear Vector Autoregressive Models for the Prediction of Dynamical Systems
Abstract. Machine learning techniques have recently been of great interest for solving differential equations. Training these models is classically a data-fitting task, but knowledge of the expression of the differential equation can be used to supplement the training objective, leading to the development of physics-i...