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20192024
most citedKernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning

6 citations · 11 across the 4 of their papers we have counts for

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physics.data-an2023

Multifidelity uncertainty quantification with models based on dissimilar parameters

Xiaoshu Zeng, Gianluca Geraci, Michael S. Eldred +3

Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving the bias of the…