Robust Symbolic Regression for Identifying Nonlinear Dynamics from Sparse and Noisy Data using Gaussian Processes

A method combining Gaussian process regression and sparse identification of nonlinear dynamics (SINDy) to learn accurate analytical models of nonlinear dynamical systems from sparse and noisy data.