In this keynote, I describe an extensive new framework for ML interpretability which enables us to turn black-box machine learning methods into white boxes. This framework allows us to unravel underlying governing equations from data, enabling scientists to make new discoveries.
Finally, I will introduce our extensive github for ML interpretability:  https://github.com/vanderschaarlab/Interpretability