Tensor Component Analysis for Interpreting the Latent Space of GANs.
James OldfieldMarkos GeorgopoulosYannis PanagakisMihalis A. NicolaouIoannis PatrasPublished in: CoRR (2021)
Keyphrases
- component analysis
- latent space
- dimensionality reduction
- low dimensional
- latent variables
- factor analysis
- matrix factorization
- lower dimensional
- gaussian process
- high dimensional
- generative model
- feature space
- gaussian processes
- blind source separation
- manifold learning
- parameter space
- principal component analysis
- transfer learning
- gaussian mixture
- probabilistic latent semantic analysis
- pattern recognition
- high dimensional data
- singular value decomposition
- knowledge discovery
- object recognition
- topic models
- distance metric
- learning algorithm
- unsupervised learning
- collaborative filtering
- probabilistic model
- reinforcement learning
- clustering algorithm
- feature selection