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Michael Douglas: Lectures

May 24, 2021
TITLE: Numerical Calabi-Yau metrics from holomorphic networks

We propose machine learning inspired methods for computing numerical Calabi-Yau (Ricci flat Ka ̈hler) metrics. In joint work with Yidi Qi and Subramanian Lakshminarasimhan, we implemented them using Tensorflow/Keras and compared with previous work. We will also discuss ideas for numerical study of other Ricci flat metrics and of SYZ fibrations.
Slides of Lecture