Information-Theoretic Foundations of Deep Learning
Description
This research project explores the information-theoretic foundations of deep learning systems,
including architectures, algorithms, and generalization bounds for supervised and semi-supervised
deep learning approaches.
Partners
Royal Society
Funding
This project is funded by a Royal Society Newton International Fellowship.