Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering. - Sara Pérez-Vieites; Jordi Vilà-Valls; Mónica F. Bugallo; Joaquín Míguez; Pau Closas (CAMSAP, 2019)

Kalman-based nested hybrid filters for recursive inference in state-space models. - Sara Pérez-Vieites; Joaquín Míguez (EUSIPCO, 2020)

A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models. - Sara Pérez-Vieites; Joaquín Míguez (FUSION, 2020)

Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models. - Sara Pérez-Vieites; Joaquín Míguez (Signal Process., 2021)

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

Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems. - Sara Pérez-Vieites; Víctor Elvira (ICASSP, 2023)

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)

Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. - Sahel Iqbal; Hany Abdulsamad; Sara Pérez-Vieites; Simo Särkkä; Adrien Corenflos (CoRR, 2024)