Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems

Shane A. McQuarrie, Anirban Chaudhuri, Karen E. Willcox +1

This work presents a data-driven method for learning low-dimensional time-dependent physics-based surrogate models whose predictions are endowed with uncertainty estimates. We use…