A new two-stage reduced order model combines hyper-reduction and Gaussian process regression to cut both training and ...
As science advances, increasingly sophisticated and intensive computational models are required to explain new phenomena, and these models lie increasingly beyond our intuition. It is therefore ...
Gaussian process (GP) regression is a popular surrogate modeling tool for computer simulations in engineering and scientific domains. However, it often struggles with high computational costs and low ...
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