Deep Learning with Multiplicative Interactions
Seeking Interpretable Models for High Dimensional Data
The Unreasonable Effectivness Of Deep Learning
Convolutional Neural Networks and Computer Vision
An introduction to causal inference in neuroimaging
Kernel Methods
Representation and Modeling for Image Analysis
Theoretical Neuroscience and Deep Learning Theory
Learning in Computer Vision
Kernel-based predictive modelling of drug-protein binding affinities