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UID:db2d9e59b235c75042005c935884da1b
CATEGORIES:Experimental Mathematics Seminar
CREATED:20250119T103136
SUMMARY:Picking, posing and attacking natural problems in discrete mathematics: from insightful bijections to black-box help from machine learning
LOCATION:https://rutgers.zoom.us/j/91865817691  [password: The 20th Catalan number\,
  alias (40)!/(20!*21!)\, alias 6564120420 ]
DESCRIPTION:We will walk through several combinatorial results. Half of them have impor
 tant motivation coming from computer science and the other half explain sur
 prising observations made by experimentation. We will begin by a high-level
  discussion on how one shall pick or pose his problems, and end by sharing 
 more about an exciting machine learning technique that may change the way w
 e approach combinatorial (and mathematical) problems in general. Some excit
 ing open questions will also be mentioned.\n
X-ALT-DESC;FMTTYPE=text/html:<p style="color: #000000; font-family: 'Times New Roman'; font-size: medium
 ; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; 
 text-indent: 0px; text-transform: none; white-space: normal; widows: 2; wor
 d-spacing: 0px;">We will walk through several combinatorial results. Half o
 f them have important motivation coming from computer science and the other
  half explain surprising observations made by experimentation. We will begi
 n by a high-level discussion on how one shall pick or pose his problems, an
 d end by sharing more about an exciting machine learning technique that may
  change the way we approach combinatorial (and mathematical) problems in ge
 neral. Some exciting open questions will also be mentioned.</p>
CONTACT: Stoyan Dimitrov, Rutgers University
DTSTAMP:20260929T070135
DTSTART;TZID=America/New_York:20250123T170000
DTEND;TZID=America/New_York:20250123T180000
SEQUENCE:0
TRANSP:OPAQUE
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