6 citations · 8 across the 5 of their papers we have counts for
Showing 2020Show all
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stat.CO2020★ 2 cited
On the Optimization of Approximate Control Variates with Parametrically Defined Estimators
Geoffrey F. Bomarito, Patrick E. Leser, James E. Warner +1
Multi-model Monte Carlo methods, such as multi-level Monte Carlo (MLMC) and multifidelity Monte Carlo (MFMC), allow for efficient estimation of the expectation of a quantity of int…
eess.IV2020★ 6 cited
Inverse Estimation of Elastic Modulus Using Physics-Informed Generative Adversarial Networks
James E. Warner, Julian Cuevas, Geoffrey F. Bomarito +2
While standard generative adversarial networks (GANs) rely solely on training data to learn unknown probability distributions, physics-informed GANs (PI-GANs) encode physical laws…