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Deep Filtering With Adaptive Learning Rates

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3 Published in 2023 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2022.3183147

Abstract: This article develops a new deep learning framework for general nonlinear filtering. Our main contribution is to present a computationally feasible procedure. The proposed algorithms have the capability of dealing with challenging (infinitely dimensional) filtering… read more here.

Keywords: network; filtering adaptive; learning rates; learning ... See more keywords