Learning to learn and compositionality with deep recurrent neural networks
Kernel Methods
Convolutional Neural Networks and Computer Vision
The statistical physics of optimal control theory
Active Inference and Uncertainty
Going forward with Probablistic Local Learning Approaches
Generative Models II
A Tour of Modern "Image Processing"
Variational filtering in generated coordinates of motion
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations