A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy.
Forough Fazeli-AslMichael Minyi ZhangPublished in: CoRR (2023)
Keyphrases
- generative model
- posterior probability
- probabilistic model
- discriminative learning
- discriminative models
- bayesian framework
- mixture model
- semi supervised
- prior knowledge
- conditional random fields
- discriminative methods
- generative and discriminative models
- gaussian process
- em algorithm
- latent dirichlet allocation
- expectation maximization
- discriminatively trained
- bayesian networks
- bayesian inference
- parameter learning
- posterior distribution
- hidden variables
- maximum entropy principle
- graphical models
- image processing
- computer vision
- hierarchical hidden markov models
- markov networks
- object categories
- probability density function
- topic models
- text classification
- probability distribution
- active learning