Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.
Nathan WycoffPrasanna BalaprakashFangfang XiaPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- neural network
- expectation propagation
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- variational bayes
- statistical inference
- back propagation
- hidden variables
- artificial neural networks
- variational inference
- hierarchical bayesian
- gibbs sampler
- bayesian models
- weighted model counting
- markov chain monte carlo
- competitive learning
- approximate inference
- neural network model
- gaussian mixture model