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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:2
UID:UW-Physics-Event-7980
DTSTART:20221116T170000Z
DTEND:20221116T181500Z
DTSTAMP:20260411T224158Z
LAST-MODIFIED:20221112T045117Z
LOCATION:Online Seminar: Please sign up for our mailing list at www.ph
 ysicsmeetsml.org for zoom link
SUMMARY:Anomaly detection in the search for new physics\, Physics ∩ 
 ML Seminar\, Gregor Kasieczka\, Hamburg University
DESCRIPTION:Given the absence of new physics discovered in direct sear
 ches at colliders\, new strategies revolving around the use of machine
  learning to discover anomalous events in data are increasingly propos
 ed and carried out. This talk will discuss how such anomaly detectors 
 can be trained in a data-driven way\, what key challenges are\, and ho
 w they can be overcome.
URL:https://www.physics.wisc.edu/events/?id=7980
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END:VCALENDAR