Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks.
Randall BalestrieroSebastien ParisRichard G. BaraniukPublished in: NeurIPS (2020)
Keyphrases
- probability distribution
- expectation maximization
- generative model
- em algorithm
- unsupervised learning
- probability density function
- social networks
- probabilistic model
- gaussian mixture model
- bayesian networks
- random variables
- neural network
- maximum likelihood estimation
- network analysis
- complex networks
- mixture model
- image segmentation
- complex systems
- object detection
- computer networks
- computer vision
- latent variables
- belief networks
- information retrieval
- real time
- heterogeneous networks
- prior distribution
- deep learning
- telecommunication networks
- network size