3 papers
cs.LG2025
Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
Dalton Durant, Renato Zanetti
In this work, a kernel-based Ensemble Gaussian Mixture Probability Hypothesis Density (EnGM-PHD) filter is presented for multi-target filtering applications. The EnGM-PHD filter co…
stat.CO2025
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…
stat.ML2024
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…