Disentangling in Latent Space by Harnessing a Pretrained Generator.
Yotam NitzanAmit BermanoYangyan LiDaniel Cohen-OrPublished in: CoRR (2020)
Keyphrases
- latent space
- latent variables
- gaussian process
- low dimensional
- parameter space
- manifold learning
- lower dimensional
- feature space
- dimensionality reduction
- gaussian processes
- generative model
- matrix factorization
- high dimensional
- transfer learning
- probabilistic latent semantic analysis
- distance metric
- gaussian mixture
- gaussian process latent variable models
- feature extraction
- high dimensional data
- co occurrence
- pattern recognition
- high dimensional spaces
- probabilistic model
- data analysis
- higher dimensional
- machine learning
- data sets