Subspace Diffusion Generative Models.
Bowen JingGabriele CorsoRenato BerlinghieriTommi S. JaakkolaPublished in: CoRR (2022)
Keyphrases
- generative model
- probabilistic model
- mixture model
- discriminative models
- discriminative learning
- hierarchical hidden markov models
- low dimensional
- prior knowledge
- dimensionality reduction
- feature space
- object categories
- conditional random fields
- em algorithm
- generative and discriminative models
- principal component analysis
- semi supervised
- high dimensional
- high dimensional data
- topic models
- lower dimensional
- linear subspace
- feature extraction
- sparse coding
- data sets
- training data
- latent variables
- graphical models
- information extraction