Representing Deep Neural Networks Latent Space Geometries with Graphs.
Carlos LassanceVincent GriponAntonio OrtegaPublished in: Algorithms (2021)
Keyphrases
- latent space
- neural network
- latent variables
- gaussian process
- low dimensional
- pattern recognition
- feature space
- dimensionality reduction
- matrix factorization
- parameter space
- lower dimensional
- high dimensional
- probabilistic latent semantic analysis
- gaussian processes
- manifold learning
- generative model
- data sets
- gaussian mixture
- distance metric
- transfer learning
- euclidean distance
- probabilistic model
- principal component analysis
- semi supervised
- training set