Publications Details

MATSE: Multi-fidelity assisted time-series emulation

Katona, Ryan M.; De Zapiain, David M.

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.