Active learning for data-driven reduced models of parametric differential systems with Bayesian operator inference

by @stat-papers

Abstract This work develops an active learning framework to intelligently enrich data-driven reduced-order models (ROMs) of parametric dynamical systems, which can serve as the foundation of virtual assets in a digital t…