State and Dynamics Estimation with the Kalman-Langevin filter. - Martin Sevilla; Nicolas Zilberstein; Benjamin Cox; Sara Pérez-Vieites; Víctor Elvira; Santiago Segarra (ACSSC, 2023)

Unsupervised Learning of Sampling Distributions for Particle Filters. - Fernando Gama; Nicolas Zilberstein; Martin Sevilla; Richard G. Baraniuk; Santiago Segarra (IEEE Trans. Signal Process., 2023)

Estimation of partially known Gaussian graphical models with score-based structural priors. - Martin Sevilla; Antonio G. Marques; Santiago Segarra (AISTATS, 2024)

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. - Benjamin Cox; Sara Pérez-Vieites; Nicolas Zilberstein; Martin Sevilla; Santiago Segarra; Víctor Elvira (ICASSP, 2024)

Bayesian Topology Inference on Partially Known Networks from Input-Output Pairs. - Martin Sevilla; Santiago Segarra (ICASSP, 2024)