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04/22/2022
Bayesian operator inference for data-driven reduced-order modeling
This work proposes a Bayesian inference method for the reduced-order mod...
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10/14/2021
Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
This work formulates a new approach to reduced modeling of parameterized...
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06/10/2021
Concurrent multi-parameter learning demonstrated on the Kuramoto-Sivashinsky equation
We develop an algorithm for the concurrent (on-the-fly) estimation of pa...
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08/06/2020