Latent Space Cartography for Geometrically Enriched Latent Spaces.
Niall O' MahonyAnshul AwasthiJoseph WalshDaniel RiordanPublished in: AICS (2022)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- matrix factorization
- dimensionality reduction
- latent variable models
- manifold learning
- lower dimensional
- gaussian processes
- gaussian process latent variable models
- high dimensional
- parameter space
- feature space
- generative model
- high dimensional data
- transfer learning
- high dimensional spaces
- probabilistic latent semantic analysis
- distance metric
- probabilistic model
- gaussian mixture
- prior knowledge
- random variables
- data sets
- higher dimensional
- principal component analysis
- collaborative filtering
- recommender systems
- feature selection