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Probabilistic Filter And Smoother For Variational Inference Of Bayesian Linear Dynamical Systems

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IEEE ICASSP 2020 Virtual Conference May 2020

Variational inference of a Bayesian linear dynamical system is a powerful method for estimating latent variable sequences and learning sparse dynamic models in domains ranging from neuroscience to audio processing. The hardest part of the method is inferr

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Probabilistic Filter And Smoother For Variational Inference Of Bayesian Linear Dynamical Systems

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Variational inference of a Bayesian linear dynamical system is a powerful method for estimating latent variable sequences and learning sparse dynamic models in domains ranging from neuroscience to audio processing. The hardest part of the method is inferr