270 citations · 318 across the 12 of their papers we have counts for
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stat.ML2026
Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data
Atticus Rex, Elizabeth Qian, David Peterson
Supervised machine learning describes the practice of fitting a parameterized model to labeled input-output data. Supervised machine learning methods have demonstrated promise in l…
stat.ML2024★ 1 cited
Multifidelity linear regression for scientific machine learning from scarce data
Elizabeth Qian, Dayoung Kang, Vignesh Sella +1
Machine learning (ML) methods, which fit to data the parameters of a given parameterized model class, have garnered significant interest as potential methods for learning surrogate…