Normalizing flow sampling with Langevin dynamics in the latent space.
Florentin CoeurdouxNicolas DobigeonPierre ChainaisPublished in: CoRR (2023)
Keyphrases
- latent space
- parameter space
- dynamical model
- gaussian process latent variable models
- latent variables
- low dimensional
- gaussian process
- lower dimensional
- generative model
- dimensionality reduction
- manifold learning
- high dimensional
- feature space
- gaussian processes
- transfer learning
- matrix factorization
- sample size
- random sampling
- probabilistic model
- high dimensional data
- probabilistic latent semantic analysis
- distance metric
- data points
- hyperparameters
- gaussian mixture
- model selection
- pattern recognition