Vector Approximate Message Passing With Arbitrary I.I.D. Noise Priors.
Mohamed AkroutTiancheng GaoFaouzi BelliliAmine MezghaniPublished in: CoRR (2024)
Keyphrases
- message passing
- inference in graphical models
- belief propagation
- distributed systems
- probabilistic inference
- factor graphs
- approximate inference
- shared memory
- junction tree
- sum product algorithm
- distributed shared memory
- graphical models
- markov random field
- prior knowledge
- singly connected
- noise model
- sum product
- generalized belief propagation
- noise level
- signal to noise ratio
- dual decomposition
- maximum a posteriori
- feature vectors
- high quality
- loopy belief propagation
- image sequences
- bayesian framework