Toward the Identifiability of Comparative Deep Generative Models.
Romain LopezJan-Christian HütterEhsan HajiramezanaliJonathan K. PritchardAviv RegevPublished in: CLeaR (2024)
Keyphrases
- generative model
- probabilistic model
- deep belief networks
- discriminative learning
- discriminative models
- em algorithm
- mixture model
- prior knowledge
- maximum entropy principle
- conditional random fields
- object categories
- machine learning
- hierarchical hidden markov models
- topic models
- expectation maximization
- deep learning
- pairwise
- representational power
- support vector
- generative and discriminative models
- data sets
- maximum likelihood
- hidden variables
- causal models
- semi supervised
- hidden markov models