Rohit Tripathy
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gaussian processes
Probablistic active subspaces
Gaussian process regression (GPR) is an immensely popular choice for computational scientists as a surrogate model for various uncertainty quantification tasks. However, it's appliacability is limited by it's poor scalability to high input …
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