On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds.
Biraj DahalAlex HavrillaMinshuo ChenTuo ZhaoWenjing LiaoPublished in: CoRR (2023)
Keyphrases
- generative model
- latent space
- probabilistic model
- mixture model
- discriminative learning
- bayesian framework
- em algorithm
- semi supervised
- deep belief networks
- probability distribution
- discriminative models
- hierarchical hidden markov models
- generative and discriminative models
- latent dirichlet allocation
- representational power
- conditional random fields
- parameter estimation
- hidden variables
- maximum likelihood estimation
- prior knowledge
- generative process
- learning tasks
- hierarchical models
- deep learning
- sparse coding
- computer vision
- random variables
- topic models
- naive bayes
- semi supervised learning
- graphical models
- training data