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20202022
most citedMultifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders

3 citations · 3 across the 3 of their papers we have counts for

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math.OC2021★ 3 cited

Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders

Andrey A Popov, Adrian Sandu

Data assimilation is a Bayesian inference process that obtains an enhanced understanding of a physical system of interest by fusing information from an inexact physics-based model,…

math.OC2020

An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence

Andrey A Popov, Adrian Sandu

This paper uses a probabilistic approach to analyze the converge of an ensemble Kalman filter solution to an exact Kalman filter solution in the simplest possible setting, the scal…