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SUMMARY:Felix Schremmer (Hong Kong)
DTSTART:20231018T090000Z
DTEND:20231018T100000Z
DTSTAMP:20260423T035419Z
UID:CompAlg/25
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompAlg/25/"
 >Machine learning assisted exploration for affine Deligne-Lusztig varietie
 s</a>\nby Felix Schremmer (Hong Kong) as part of Machine Learning Seminar\
 n\n\nAbstract\nIn this interdisciplinary study\, we describe a procedure t
 o assist and accelerate research in pure mathematics by using machine lear
 ning. We study affine Deligne-Lusztig varieties\, certain geometric object
 s related to a number of mathematical questions\, by carefully developing 
 a number of machine learning models. This iterated pipeline yields well in
 terpretable and highly accurate models\, thus producing strongly supported
  mathematical conjectures. We explain how this method could have dramatica
 lly accelerated the research in the past. A completely new mathematical th
 eorem\, found by our ML-assisted method and proved using the classical mat
 hematical tools of the field\, concludes this study. This is joint work wi
 th Bin Dong\, Pengfei Jin\, Xuhua He and Qingchao Yu.\n
LOCATION:https://researchseminars.org/talk/CompAlg/25/
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