Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity.
Prabodh KattiNicolas SkatchkovskyOsvaldo SimeoneBipin RajendranBashir M. Al-HashimiPublished in: ISCAS (2023)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- variational inference
- statistical inference
- hierarchical bayesian
- spiking neurons
- spiking neural networks
- expectation propagation
- markov networks
- bio inspired
- variational bayes
- particle filter
- feed forward
- machine learning
- weighted model counting
- probabilistic modeling
- gibbs sampler
- artificial neural networks
- social networks
- prior distribution
- maximum likelihood
- bayesian models
- text mining
- neuron model