Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.
Nathan WycoffPrasanna BalaprakashFangfang XiaPublished in: ICONS (2019)
Keyphrases
- bayesian inference
- neural network
- expectation propagation
- probabilistic model
- prior information
- hyperparameters
- variational inference
- statistical inference
- bayesian model
- neural network model
- variational bayes
- particle filter
- back propagation
- prior distribution
- artificial neural networks
- hierarchical bayesian
- hidden variables
- bayesian models
- gibbs sampler
- weighted model counting
- probabilistic modeling
- competitive learning
- conditional random fields
- level set