On the relationship between variational inference and auto-associative memory.
Louis AnnabiAlexandre PittiMathias QuoyPublished in: NeurIPS (2022)
Keyphrases
- associative memory
- variational inference
- bayesian inference
- topic models
- variational methods
- probabilistic graphical models
- probabilistic model
- posterior distribution
- gaussian process
- mixture model
- latent dirichlet allocation
- kohonen feature map
- closed form
- exponential family
- factor graphs
- approximate inference
- neural network
- exact inference
- graphical models
- hyperparameters
- maximum likelihood
- latent variables
- belief networks
- neural network model
- kernel methods
- regression model
- generative model
- text mining
- high dimensional
- bayesian networks
- learning algorithm