Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes.
Chethan Krishnamurthy RamanaikJuan Esteban Suarez CardonaAnna WillmannPia HanfeldNico HoffmannMichael HechtPublished in: CoRR (2023)
Keyphrases
- latent space
- data structure
- latent variables
- low dimensional
- lower dimensional
- dimensionality reduction
- gaussian process
- generative model
- manifold learning
- parameter space
- gaussian processes
- feature space
- probabilistic latent semantic analysis
- matrix factorization
- probabilistic model
- gaussian process latent variable models
- high dimensional
- r tree
- prior information
- image classification
- multi dimensional