Bayesian filtering provides a principled framework for estimating the hidden dynamics of a system from noisy or incomplete observations. At its core lies the recursive computation of a posterior ...
Core Idea: Rewrite Bayesian inference as a GMM-sequence to GMM-sequence mapping implemented by a Transformer decoder. Both the prior and observations are embedded as tokens, and the output returns to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results