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20182023
most citedData-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold

59 citations · 64 across the 10 of their papers we have counts for

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cs.LG2023

On Active Learning for Gaussian Process-based Global Sensitivity Analysis

Mohit Chauhan, Mariel Ojeda-Tuz, Ryan Catarelli +3

This paper explores the application of active learning strategies to adaptively learn Sobol indices for global sensitivity analysis. We demonstrate that active learning for Sobol i…