Network embeddings for modeling polypharmacy and drug-drug interactions
Defence of the Doctoral Dissertation: Machine Learning of Semantics for Text Understanding
Neural Networks with Few Multiplications
Top-down Neural Attention by Excitation Backprop
Overview of methods and approaches in Social Sciences
Theory of RL
On Architectural Issues of Neural Networks in Speech Recognition
Marrying Graphical Models & Deep Learning
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Towards deep kernel machines