Training Deep Neural Networks
PAPER: Objective function-based clustering via near-Boolean optimization
Network embeddings for modeling polypharmacy and drug-drug interactions
Convex Analysis and Optimization
Practical Variational Inference for Neural Networks
Optimization Methods in Management Science
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Graph neural networks for computational drug repurposing
Top-down Neural Attention by Excitation Backprop
Sparse modeling: some unifying theory and “topic-imaging”