Bayesian sparsification for deep neural networks with Bayesian model reduction.
Dimitrije MarkovicKarl J. FristonStefan J. KiebelPublished in: CoRR (2023)
Keyphrases
- bayesian model
- neural network
- posterior distribution
- bayesian inference
- bayesian models
- prior probabilities
- bayesian framework
- probability distribution
- conditional probabilities
- dirichlet process mixture models
- latent variables
- neural network model
- sparse representation
- maximum likelihood
- least squares
- prior information
- posterior probability
- random variables
- hyperparameters
- gaussian process
- support vector machine
- probabilistic model