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20102023
most citedDeep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

485 citations · 878 across the 26 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

math.OC2018

Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function

Piyush Pandita, Ilias Bilionis, Jitesh Panchal

Bayesian optimal design of experiments (BODE) has been successful in acquiring information about a quantity of interest (QoI) which depends on a black-box function. BODE is charact…

physics.comp-ph2018★ 485 cited

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

Rohit Tripathy, Ilias Bilionis

State-of-the-art computer codes for simulating real physical systems are often characterized by a vast number of input parameters. Performing uncertainty quantification (UQ) tasks…