Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders.
Oskar KvimanRicky MolénAlexandra HottiSemih KurtVíctor ElviraJens LagergrenPublished in: ICML (2023)
Keyphrases
- latent space
- gaussian mixture
- latent variables
- mixture model
- generative model
- low dimensional
- gaussian process
- denoising
- dimensionality reduction
- gaussian processes
- parameter space
- feature space
- gaussian mixture model
- transfer learning
- em algorithm
- high dimensional
- probabilistic model
- high dimensional data
- distance metric
- information retrieval
- expectation maximization
- image segmentation
- image classification
- feature selection