• Corpus ID: 237572199

Polytopes and Machine Learning

@inproceedings{Bao2021PolytopesAM,
  title={Polytopes and Machine Learning},
  author={Jiakang Bao and Yang-Hui He and Edward Hirst and Johannes Hofscheier and A. Kasprzyk and Suvajit Majumder},
  year={2021}
}
We introduce machine learning methodology to the study of lattice polytopes. With supervised learning techniques, we predict standard properties such as volume, dual volume, reflexivity, etc, with accuracies up to 100%. We focus on 2d polygons and 3d polytopes with Plücker coordinates as input, which out-perform the usual vertex representation. ar X iv :2 10 9. 09 60 2v 1 [ m at h. C O ] 1 5 Se p 20 21 
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