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BEGIN:VEVENT
UID:42@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20240619T093000
DTEND;TZID=Europe/Paris:20240619T123000
DTSTAMP:20240615T114658Z
URL:https://www.cran.univ-lorraine.fr/events/seminaire-projet-simul-biosis
 -7/
SUMMARY:Séminaire Ivan Yakushev - Application of machine learning in visua
 l art
DESCRIPTION:SiMul Seminar Program\n\n9:30 - 10:30 Short Scientific Presenta
 tions:\n   • Emilio Norberto Abata (M2): "Adaptation de domaine pour la 
 prédiction de durée de vie de batteries industrielles"\n   • Antoine K
 ickens (M2): "Réseaux de neurones lipschitziens"\n   • Joppe De Jonghe 
 (PhD): "Tensor-based methods for training multi-layer flexible neural netw
 orks"\n\n\n10:30 - 11:30 Invited Talk:\n   • Ivan Yakushev: "Application
  of machine learning in visual art"\nAbstract "This presentation will expl
 ore the current state of using local diffusion models in video and image g
 eneration\, the interfaces and workflows commonly utilized in this area. I
 n addition to highlighting the current capabilities of these models\, we w
 ill also discuss their limitations and potential opportunities for future 
 research and multidisciplinary collaboration.
CATEGORIES:Département BioSiS,Séminaires projet SiMul
LOCATION:CRAN - FST - 4ème\, Campus Sciences\, Boulevard des Aiguillettes\
 , Vandoeuvre-lès-Nancy\, 54506\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Campus Sciences\, Boulevard
  des Aiguillettes\, Vandoeuvre-lès-Nancy\, 54506\, France;X-APPLE-RADIUS=
 100;X-TITLE=CRAN - FST - 4ème:geo:0,0
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TZID:Europe/Paris
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DTSTART:20240331T030000
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