Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training.
Mathieu SinnAmbrish RawatPublished in: AISTATS (2018)
Keyphrases
- jensen shannon divergence
- information theoretic
- information theory
- recurrent networks
- mutual information
- radial basis function network
- generative model
- parametric models
- training set
- jensen shannon
- kernel density estimation
- selection criterion
- image processing
- probability density function
- model selection
- supervised learning
- discriminative training
- neural network