Neural Separation of Observed and Unobserved Distributions.
Tavi HalperinAriel EphratYedid HoshenPublished in: ICML (2019)
Keyphrases
- partially observed
- observed variables
- network architecture
- heavy tailed
- random variables
- probability distribution
- latent variables
- machine learning
- neural network
- bio inspired
- hidden variables
- artificial intelligence
- joint distribution
- power law
- kullback leibler divergence
- biologically plausible
- generative model
- information retrieval
- exponential distributions
- neural information processing
- nonlinear predictive control