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SUMMARY:Edward Hirst (City\, University of London)
DTSTART:20201203T190000Z
DTEND:20201203T200000Z
DTSTAMP:20260423T052807Z
UID:SGFM/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SGFM/16/">Ma
 chine-Learning Dessins d'Enfants: Explorations via Modular and Seiberg-Wit
 ten Curves</a>\nby Edward Hirst (City\, University of London) as part of S
 eminario de Geometría y Física - Matemática UCN-USP\n\n\nAbstract\nWe i
 ntroduce in the context of Calabi-Yau manifolds\, and then apply machine-l
 earning to\, the study of dessins d'enfants. Specifically\, we investigate
  a class of dessins which reside at the intersection of the investigations
  of modular subgroups and extremal elliptic K3 surfaces. A deep feed-forwa
 rd neural network performs classification of Galois extension degree over 
 the rationals\, known to be a difficult problem. The classifications reach
 ed accuracy 0.92 relatively quickly.\nIn relation to papers: 2004.05218 & 
 2001.01212\n
LOCATION:https://researchseminars.org/talk/SGFM/16/
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