Sara Pérez-Vieites

According to our database, Sara Pérez-Vieites authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design.

Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems.

Sara Pérez-Vieites, Víctor Elvira

Proceedings of the IEEE International Conference on Acoustics, 2023

State and Dynamics Estimation with the Kalman-Langevin filter.

Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2021

Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models.

Sara Pérez-Vieites, Joaquín Míguez

Signal Process., 2021

2020

A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models.

Sara Pérez-Vieites, Joaquín Míguez

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Kalman-based nested hybrid filters for recursive inference in state-space models.

Sara Pérez-Vieites, Joaquín Míguez

Proceedings of the 28th European Signal Processing Conference, 2020

2019

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

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019