10 citations · 38 across the 14 of their papers we have counts for
4 papers · 1 filter
An Adaptive Covariance Parameterization Technique for the Ensemble Gaussian Mixture Filter
Andrey A Popov, Renato Zanetti
The ensemble Gaussian mixture filter combines the simplicity and power of Gaussian mixture models with the provable convergence and power of particle filters. The quality of the en…
The Model Forest Ensemble Kalman Filter
Andrey A Popov, Adrian Sandu
Traditional data assimilation uses information obtained from the propagation of one physics-driven model and combines it with information derived from real-world observations in or…
A Sensor-Based Simulation Method for Spatiotemporal Event Detection
Yuqin Jiang, Andrey A. Popov, Zhenlong Li +2
Human movements in urban areas are essential to understand human-environment interactions. However, activities and associated movements are full of uncertainties due to the complex…
A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction
Andrey A. Popov, Arash Sarshar, Austin Chennault +1
A rapidly growing area of research is the use of machine learning approaches such as autoencoders for dimensionality reduction of data and models in scientific applications. We sho…