Solving Bayesian inverse problems from the perspective of deep generative networks
Sign Up to like & getrecommendations! Published in 2019 at "Computational Mechanics"
DOI: 10.1007/s00466-019-01739-7
Abstract: Deep generative networks have achieved great success in high dimensional density approximation, especially for applications in natural images and language. In this paper, we investigate their approximation capability in capturing the posterior distribution in Bayesian… read more here.
Keywords: bayesian inverse; deep generative; inverse problems; solving bayesian ... See more keywords
A Note on Particle Flow Methods for Solving Bayesian Updates
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3162180
Abstract: This note revisits the theoretical foundation of the Daum–Huang particle filter concepts for solving Bayesian updating problems. We reexamine the defining necessary and sufficient condition, in the form of an operator equation, for a flow… read more here.
Keywords: solving bayesian; note particle; flow; flow methods ... See more keywords