Name: IML LHC Machine Learning WG Meeting - Deep Learning
Start: 2016-04-14T15:00:00+02:00
End: 2016-04-14T17:45:00+02:00
Location: CERN

- 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

IML LHC Machine Learning WG Meeting - Deep Learning

222/R-001

CERN