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SUMMARY:What Can We Learn with ML in Particle Physics\, and How?
DTSTART;VALUE=DATE-TIME:20191107T064500Z
DTEND;VALUE=DATE-TIME:20191107T070500Z
DTSTAMP;VALUE=DATE-TIME:20260724T113242Z
UID:indico-contribution-5@sshep.snu.ac.kr
DESCRIPTION:Speakers: Sunghoon Jung (Seoul National University)\nML has a 
 deep potential to extend our ability to understand Nature\, beyond common 
 knowledge. As the very first steps to realize it\, we use ML to seek for a
 nswers to one of the not-well-solved problems in particle physics. Our foc
 us is not only to improve the solution\, but to develop ways to figure out
  what the network has learned.\n\nhttps://sshep.snu.ac.kr/event/107/contri
 butions/5/
LOCATION:Seoul National University\, College of Natural Sciences\, Buildin
 g 25-1 국제회의실 (International Conference Hall)
URL:https://sshep.snu.ac.kr/event/107/contributions/5/
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