On the Relationship Between Variational Inference and Auto-Associative Memory.
Louis AnnabiAlexandre PittiMathias QuoyPublished in: CoRR (2022)
Keyphrases
- associative memory
- variational inference
- bayesian inference
- topic models
- posterior distribution
- probabilistic model
- probabilistic graphical models
- mixture model
- latent dirichlet allocation
- gaussian process
- variational methods
- closed form
- kohonen feature map
- exponential family
- neural network
- approximate inference
- factor graphs
- exact inference
- latent variables
- graphical models
- prior information
- hidden variables
- generative model
- probability distribution
- posterior probability
- expectation maximization
- hyperparameters
- markov networks
- markov random field
- image reconstruction
- maximum a posteriori
- machine learning