10 citations · 38 across the 14 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…