3 citations · 3 across the 4 of their papers we have counts for
4 papers
Deterministic Optimal Transport-based Gaussian Mixture Particle Filtering for Verifiable Applications
Andrey A Popov, Renato Zanetti
Mixture-model particle filters such as the ensemble Gaussian mixture filter require a resampling procedure in order to converge to exact Bayesian inference. Canonically, stochastic…
The Ensemble Epanechnikov Mixture Filter
Andrey A. Popov, Renato Zanetti
In the high-dimensional setting, Gaussian mixture kernel density estimates become increasingly suboptimal. In this work we aim to show that it is practical to instead use the optim…
Bayesian Recursive Update for Ensemble Kalman Filters
Kristen Michaelson, Andrey A. Popov, Renato Zanetti
Few real-world systems are amenable to truly Bayesian filtering; nonlinearities and non-Gaussian noises can wreak havoc on filters that rely on linearization and Gaussian uncertain…
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…