Theory-guided Message Passing Neural Network for Probabilistic Inference.
Zijun CuiHanjing WangTian GaoKartik TalamadupulaQiang JiPublished in: AISTATS (2024)
Keyphrases
- message passing
- probabilistic inference
- neural network
- belief propagation
- approximate inference
- graphical models
- weighted model counting
- distributed systems
- factor graphs
- probabilistic reasoning
- artificial neural networks
- influence diagrams
- markov random field
- sum product algorithm
- junction tree
- machine learning
- exact inference
- bayesian networks
- belief networks
- maximum likelihood
- three dimensional