Deep Learning
Stacks of Restricted Boltzmann Machines
Learning Deep Boltzmann Machines
Topic Models
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
Combining Graphical Models and Deep Learning
Graphical models
Algebraic statistics for random graph models: Markov bases and their uses
Unsupervised Learning for Stereo Vision
Deep Belief Networks