DOE OSTI · 2997371
MATSE: Multi-fidelity assisted time-series emulation
Abstract
I am going to present my work on multifidelity timeseries models at MS&T in Pittsburgh. We develop efficient machine learning methodologies to accelerate time-series predictions from a hierarchy of complex physics-based models.
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Katona, Ryan Michael, Montes de Oca Zapiain, David. 2024-10-01. MATSE: Multi-fidelity assisted time-series emulation. https://doi.org/10.2172/2997371
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