Marrying Graphical Models & Deep Learning
Building Machines that Imagine and Reason: Principles and Applications of Deep Generative Models
Generative Models I
Generative Models II
Combining Graphical Models and Deep Learning
Algorithmic Aspects of Machine Learning
Variational Autoencoder and Extensions
Biomedical Signal and Image Processing
Dimensionality Reduction
Dynamic Factor Graphs for Time Series Modeling