GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.
Alex LambR. Devon HjelmYaroslav GaninJoseph Paul CohenAaron C. CourvilleYoshua BengioPublished in: NIPS (2017)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- bayesian networks
- belief propagation
- loopy belief propagation
- factor graphs
- efficient inference algorithms
- approximate inference
- undirected graphical models
- probabilistic model
- probabilistic graphical models
- statistical inference
- directed graphical models
- nonparametric belief propagation
- markov networks
- structure learning
- random variables
- collective classification
- conditional random fields
- probabilistic networks
- multi agent
- generalized belief propagation
- graphical structure
- conditional independence
- possibilistic networks
- marginal probabilities
- relational dependency networks
- graph structure
- bayesian inference
- markov logic networks
- probabilistic reasoning
- statistical relational learning
- bayesian belief networks
- dynamic bayesian networks
- partition function
- structured prediction
- image segmentation
- structural learning