Probabilistic Inference in the Era of Tensor Networks and Differential Programming.
Martin Roa VillescasXuanzhao GaoSander StuijkHenk CorporaalJin-Guo LiuPublished in: CoRR (2024)
Keyphrases
- probabilistic inference
- graphical models
- bayesian networks
- weighted model counting
- efficient inference
- conditional probabilities
- message passing
- context specific independence
- influence diagrams
- belief networks
- approximate inference
- probabilistic reasoning
- bayesian belief networks
- programming language
- higher order
- variable elimination
- bucket elimination
- probabilistic model
- exact inference
- data sets
- artificial neural networks
- probability distribution