Speaker
Edward Hirst
(City, University of London)
Description
We examine the classic datasbase of Calabi-Yau hypersurfaces in weighted P4s with tools from supervised and unsupervised machine-learning. Surprising linear behaviour arises with respect to the Calabi-Yau’s Hodge numbers, with a natural clustering of the spaces. In addition, simple supervised methods learn to identify weights which produce spaces with CY hypersurfaces, with improved performance where the Hodge numbers take extreme values.
Primary author
Edward Hirst
(City, University of London)
