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DTSTAMP:20260730T095927Z
UID:d9e2f0ff-6868-4e0a-9565-3d393c427c8b
DTSTART:20260813T140000Z
DTEND:20260813T151500Z
DESCRIPTION:Speakers: Sander Dieleman (Google DeepMind)\n\nAbstract:\nAn in
 tuitive perspective on the generative modelling paradigm that drives moder
 n image and video generation.\nSpeaker's Bio:\nSander Dieleman is a Resear
 ch Scientist at Google DeepMind in London\, UK\, where he has worked on th
 e development of AlphaGo\, WaveNet\, Nano Banana\, Gemini Omni\, and more.
  He obtained his PhD from Ghent University in 2016. His current research i
 nterests include representation learning and generative modelling of audio
 \, images and video.\nThis seminar is part of the CERN STEAM Academy Semin
 ar Series. \nNetworking cocktail will follow the seminar. \n\n\n\nA publ
 ic webcast will be available and accessible to external participants.\nWit
 h the support of CERN's Next Generation Triggers Project.\n\n\n\n\n \n\n
 https://indico.cern.ch/event/1696053/\n\nZoom: https://cern.zoom.us/j/6400
 1053521?pwd=bVkSeALaWwEDYUPHGqEgpVt62pt0CS.1
LOCATION:500/1-001 - Main Auditorium (CERN)
SUMMARY:STEAM Academy Seminar: Diffusion Models for Image and Video Generat
 ion
URL;VALUE=URI:https://indico.cern.ch/event/1696053/
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