Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction.
Dimitrije MarkovicKarl J. FristonStefan J. KiebelPublished in: IEEE Access (2024)
Keyphrases
- bayesian model
- neural network
- posterior distribution
- bayesian inference
- bayesian models
- prior probabilities
- bayesian framework
- dirichlet process mixture models
- conditional probabilities
- probability distribution
- parameter estimation
- latent variables
- posterior probability
- neural network model
- multi task learning
- multi class
- bayesian networks
- closed form
- hyperparameters
- graphical models
- probabilistic model
- reinforcement learning