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Journal Articles
- 2021
[j1]Sara Pérez-Vieites
, Joaquín Míguez:
Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models. Signal Process. 189: 108295 (2021)
Conference and Workshop Papers
- 2024
- [c6]Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira:
End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks. ICASSP 2024: 9701-9705 - 2023
- [c5]Martin Sevilla, Nicolas Zilberstein, Benjamin Cox, Sara Pérez-Vieites, Víctor Elvira, Santiago Segarra:
State and Dynamics Estimation with the Kalman-Langevin filter. ACSSC 2023: 1372-1376 - [c4]Sara Pérez-Vieites, Víctor Elvira:
Adaptive Gaussian Nested Filter for Parameter Estimation and State Tracking in Dynamical Systems. ICASSP 2023: 1-5 - 2020
- [c3]Sara Pérez-Vieites, Joaquín Míguez:
Kalman-based nested hybrid filters for recursive inference in state-space models. EUSIPCO 2020: 2468-2472 - [c2]Sara Pérez-Vieites, Joaquín Míguez:
A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models. FUSION 2020: 1-8 - 2019
- [c1]Sara Pérez-Vieites, Jordi Vilà-Valls, Mónica F. Bugallo, Joaquín Míguez, Pau Closas:
Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering. CAMSAP 2019: 609-613
Informal and Other Publications
- 2024
- [i1]Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites, Simo Särkkä, Adrien Corenflos:
Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design. CoRR abs/2409.05354 (2024)
Coauthor Index
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