2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters
AISTATS 2023poster
We consider the Bayesian optimal filtering problem: i.e. estimating some conditional statistics of a latent time-series signal from an observation sequence. Classical approaches often rely on the use of assumed or estimated transition and observation models. Instead, we formulate a generic recurrent…