Raven's Progressive Matrices Completion with Latent Gaussian Process Priors.
Fan ShiBin LiXiangyang XuePublished in: CoRR (2021)
Keyphrases
- gaussian process
- latent variables
- bayesian framework
- latent space
- dynamical models
- gaussian processes
- prior knowledge
- approximate inference
- probabilistic model
- hyperparameters
- gaussian process regression
- regression model
- latent variable models
- posterior distribution
- gaussian process classification
- dynamical model
- random variables
- generative model
- model selection
- sparse approximations
- covariance function
- topic models
- expectation propagation
- expectation maximization
- gaussian process models
- dirichlet process
- marginal likelihood
- prior information
- semi supervised
- learning algorithm
- machine learning
- maximum a posteriori
- training data
- learning process
- upper bound
- bayesian methods
- higher order
- particle filter