Learnable Explicit Density for Continuous Latent Space and Variational Inference.
Chin-Wei HuangAhmed TouatiLaurent DinhMichal DrozdzalMohammad HavaeiLaurent CharlinAaron C. CourvillePublished in: CoRR (2017)
Keyphrases
- variational inference
- latent space
- gaussian process
- latent variables
- posterior distribution
- gaussian processes
- bayesian inference
- probabilistic model
- topic models
- model selection
- regression model
- bayesian framework
- semi supervised
- hyperparameters
- generative model
- mixture model
- low dimensional
- latent dirichlet allocation
- dimensionality reduction
- manifold learning
- prior information
- closed form
- image reconstruction
- hidden variables
- transfer learning
- machine learning
- random variables
- prior knowledge
- data analysis
- learning algorithm