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20172022
most citedA machine learning approach for efficient uncertainty quantification using multiscale methods

84 citations · 206 across the 7 of their papers we have counts for

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physics.comp-ph2020★ 19 cited

Optimal Bayesian experimental design for subsurface flow problems

Alexander Tarakanov, Ahmed H. Elsheikh

Optimal Bayesian design techniques provide an estimate for the best parameters of an experiment in order to maximize the value of measurements prior to the actual collection of dat…