Leveraging Demonstrations with Latent Space Priors.
Jonas GehringDeepak GopinathJungdam WonAndreas KrauseGabriel SynnaeveNicolas UsunierPublished in: Trans. Mach. Learn. Res. (2023)
Keyphrases
- latent space
- latent variables
- low dimensional
- gaussian process
- bayesian framework
- generative model
- lower dimensional
- dimensionality reduction
- parameter space
- manifold learning
- gaussian processes
- transfer learning
- high dimensional data
- feature space
- prior knowledge
- matrix factorization
- high dimensional
- gaussian process latent variable models
- probabilistic latent semantic analysis
- probabilistic model
- prior information
- distance metric
- data sets
- high dimensional spaces
- gaussian mixture
- maximum a posteriori
- semi supervised learning
- probability distribution
- training data
- image segmentation