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(2024). End-to-end learning of Gaussian mixture proposals using differentiable particle filters and neural networks. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 9701-9705). IEEE.
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Sevilla, M.,
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(2023). State and Dynamics Estimation with the Kalman–Langevin filter. In 2023 57th Asilomar Conference on Signals, Systems, and Computers (pp. 1372-1376). IEEE.
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Nested filtering methods for Bayesian inference in state space models, PhD thesis, Sara Pérez Vieites, January 2022, Universidad Carlos III de Madrid.
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