Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm

Carl Henrik Ek, Oisin Kim, Challenger Mishra

Motivated by recent progress in the problem of numerical Kähler metrics, we survey machine learning techniques in this area, discussing both advantages and drawbacks. We then revis…