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…
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