Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Lakshminarasimhan, Subramanian"'
We propose machine learning inspired methods for computing numerical Calabi-Yau (Ricci flat K\"ahler) metrics, and implement them using Tensorflow/Keras. We compare them with previous work, and find that they are far more accurate for manifolds with
Externí odkaz:
http://arxiv.org/abs/2012.04797
