Prediction: Machine Learning and Statistics
Gaussian Variances and Large Scale Bayesian Inference
Particle Filters
Convolutional Neural Networks and Computer Vision
Gaussian Processes and Process Convolutions from a Bayesian Perspective
Approximate Bayesian computation (ABC): advances and questions
Approximate inference for continuous time Markov processes
Light, charges and brains
Stacks of Restricted Boltzmann Machines
Representation and Modeling for Image Analysis