Probabilistic Bayesian Neural Networks for Efficient Inference.
Mohammed AlawadMd IshakPublished in: ACM Great Lakes Symposium on VLSI (2024)
Keyphrases
- efficient inference
- neural network
- bayesian networks
- probabilistic inference
- exact inference
- posterior probability
- markov networks
- factor graphs
- probabilistic model
- hidden variables
- markov random field
- graphical models
- conditional random fields
- fully connected
- generative model
- structured prediction
- approximate inference
- conditional probabilities
- artificial neural networks
- junction tree
- bayesian inference
- graph structure
- human pose estimation
- belief networks
- maximum likelihood
- neural network model
- influence diagrams
- posterior distribution
- bayesian framework
- gaussian processes
- linear models
- belief propagation
- hidden markov models
- probability distribution
- random variables
- latent variables
- feed forward
- neural nets
- message passing