On the Latent Space of Wasserstein Auto-Encoders.
Paul K. RubensteinBernhard SchölkopfIlya O. TolstikhinPublished in: CoRR (2018)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- dimensionality reduction
- lower dimensional
- matrix factorization
- gaussian processes
- parameter space
- manifold learning
- high dimensional
- generative model
- feature space
- high dimensional data
- probabilistic latent semantic analysis
- distance metric
- transfer learning
- probabilistic model
- high dimensional spaces
- gaussian process latent variable models
- latent dirichlet allocation
- prior knowledge
- pairwise
- machine learning