On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds.
Biraj DahalAlexander HavrillaMinshuo ChenTuo ZhaoWenjing LiaoPublished in: NeurIPS (2022)
Keyphrases
- generative model
- probabilistic model
- mixture model
- latent space
- discriminative learning
- prior knowledge
- discriminative models
- em algorithm
- bayesian framework
- deep belief networks
- hierarchical hidden markov models
- sparse coding
- conditional random fields
- random variables
- maximum entropy principle
- semi supervised
- object categories
- latent dirichlet allocation
- low dimensional
- generative process
- density estimation
- graphical models
- discriminative methods