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most citedEnsemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter

3 citations · 6 across the 7 of their papers we have counts for

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math.OC2023★ 3 cited

Ensemble-localized Kernel Density Estimation with Applications to the Ensemble Gaussian Mixture Filter

Andrey A. Popov, Enrico M. Zucchelli, Renato Zanetti

The ensemble Gaussian mixture filter (EnGMF) is a non-linear filter suited to data assimilation of highly non-Gaussian and non-linear models that has practical utility in the case…

cs.LG2023

Small-data Reduced Order Modeling of Chaotic Dynamics through SyCo-AE: Synthetically Constrained Autoencoders

Andrey A. Popov, Renato Zanetti

Data-driven reduced order modeling of chaotic dynamics can result in systems that either dissipate or diverge catastrophically. Leveraging non-linear dimensionality reduction of au…