Multi-Operational Mathematical Derivations in Latent Space.
Marco ValentinoJordan MeadowsLan ZhangAndré FreitasPublished in: CoRR (2023)
Keyphrases
- latent space
- latent variables
- gaussian process
- gaussian process latent variable models
- lower dimensional
- low dimensional
- parameter space
- manifold learning
- dimensionality reduction
- high dimensional
- generative model
- machine learning
- matrix factorization
- gaussian processes
- probabilistic latent semantic analysis
- transfer learning
- covariance matrix
- high dimensional data
- principal component analysis
- pairwise