Exploring the Latent Space of Autoencoders with Interventional Assays.
Felix LeebStefan BauerMichel BesserveBernhard SchölkopfPublished in: NeurIPS (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- lower dimensional
- gaussian process
- dimensionality reduction
- denoising
- generative model
- feature space
- high dimensional
- parameter space
- matrix factorization
- gaussian processes
- manifold learning
- transfer learning
- gaussian process latent variable models
- distance metric
- probabilistic latent semantic analysis
- feature selection
- gaussian mixture
- random projections
- high dimensional data
- high dimensional spaces
- prior information
- principal component analysis
- training data
- data sets