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IML LHC Machine Learning WG Meeting - Deep Learning

→ Europe/Zurich
222/R-001 (CERN)

222/R-001

CERN

200
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    • 15:00 → 15:10
      News and updates 10m
      Speakers: Michele Floris (CERN), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH)), Tim Head (Ecole Polytechnique Federale de Lausanne (CH))
      20160414_IML_news.pdf
    • 15:10 → 15:30
      Bayesian neural networks and general remarks about IML 20m
      Speaker: Harry Prosper (Florida State University (US))
      IML_Prosper_14April16.pdf
    • 15:35 → 15:55
      Deep learning and NN overview, keras tutorial 20m
      Speaker: Michela Paganini (Yale University (US))
      NNinKeras_MPaganini.pdf
    • 16:00 → 16:20
      Gradient reversal layers in deep neural networks for transfer learning 20m
      Speaker: Paul Seyfert (Universita & INFN, Milano-Bicocca (IT))
      pseyfert.pdf
    • 16:25 → 16:45
      Jet images in delphes 20m
      Speaker: Daniel Hay Guest (University of California Irvine (US))
      dguest_dl.pdf
    • 16:50 → 17:10
      Deep Learning at NOvA 20m
      Speakers: Adam Aurisano (University of Cincinnati), Adam Aurisano (Unknown), Adam Jude Aurisano
      aurisano_CNNid_LHC.pdf
    • 17:15 → 17:35
      Deep Learning Event Reconstruction, From LArTPC to ATLAS Calorimeter 20m
      Speaker: Amir Farbin (University of Texas at Arlington (US))
      IML-DL.pdf
    • 17:35 → 17:36
      Minutes 1m
      IML-2016-04-14-minutes.txt
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