Using latent space regression to analyze and leverage compositionality in GANs.
Lucy ChaiJonas WulffPhillip IsolaPublished in: CoRR (2021)
Keyphrases
- latent space
- gaussian processes
- gaussian process
- latent variables
- dimensionality reduction
- regression model
- low dimensional
- model selection
- lower dimensional
- feature space
- high dimensional
- parameter space
- probabilistic latent semantic analysis
- manifold learning
- generative model
- density estimation
- support vector
- data points
- gaussian process latent variable models