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.

Key Publications