On the Convergence of Convolutional Approximate Message-Passing for Gaussian Signaling.
Keigo TakeuchiPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2022)
Keyphrases
- message passing
- inference in graphical models
- belief propagation
- distributed systems
- probabilistic inference
- shared memory
- junction tree
- distributed shared memory
- factor graphs
- graphical models
- approximate inference
- restricted boltzmann machine
- markov random field
- generalized belief propagation
- sum product algorithm
- keypoints
- maximum likelihood
- higher order
- probabilistic graphical models
- loopy belief propagation