arXiv stat.ML
· Papers
Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data
arXiv:2603.22050v2 Announce Type: replace Abstract: Supervised machine learning describes the practice of fitting a parameterized model to labeled input-output data. Supervised machine learning methods have demonstrated promise in learning efficient surrogate models that can (partially) replace expensive high-fidelity