Name: IML Machine Learning Working Group Meeting - Tools
Start: 2016-10-24T15:00:00+02:00
End: 2016-10-24T17:05:00+02:00
Location: CERN

- 15:00 → 15:15
  
  News and group updates 15m
  
  Speakers: Lorenzo Moneta (CERN), Michele Floris (CERN), Paul Seyfert (Universita & INFN, Milano-Bicocca (IT)), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH))
  
  Sergei_Gleyzer_IML_112416.pdf
- 15:15 → 15:25
  
  New Machine-Learning Libraries in CVMFS 10m
  
  Speaker: Pere Mato Vila (CERN)
  
  LCG-ML-Libraries.pdf
- 15:25 → 15:45
  
  Cross-Validation and Hyperparameter Tuning in TMVA/SparkMVA 20m
  
  Speakers: Dr Georgios Douzas, Thomas James Stevenson (University of London (GB))
  
  CV_IML_Oct2016.pdf
  
  Presentation.pdf
  
  Example CrossValidation code
- 15:45 → 16:00
  
  Standalone Deep Learning Library in C++ 15m
  
  Speaker: Daniel Hay Guest (University of California Irvine (US))
  
  dguest_iml.pdf
- 16:00 → 16:20
  
  SUSY-AI: Generalizing LHC limits on Supersymmetry with Machine Learning 20m
  
  Speakers: Jong Soo Kim, Krzysztof Rolbiecki (University of Warsaw), Roberto Ruiz De Austri (IFIC), Sascha Caron (Nikhef National institute for subatomic physics (NL)), bob stienen
  
  imllhc.pdf
- 16:20 → 16:35
  
  Distributed Deep Learning on Apache Spark with Keras 15m
  
  Speaker: Joeri Hermans (Maastricht University (NL))
  
  Distributed Keras
  
  Jupyter Notebook
- 16:35 → 16:45
  
  Regression Loss Functions 10m
  
  Speaker: Andrew Mathew Carnes (University of Florida (US))
- 16:45 → 17:00
  
  TMVA Parallelization 15m
  
  Speakers: Lorenzo Moneta (CERN), Omar Andres Zapata Mesa (University of Antioquia & Metropolitan Institute of Technology), Sergei Gleyzer (University of Florida (US))
  
  TMVA.pdf
- 17:00 → 17:01
  
  Minutes 1m
  
  IML-2016-10-24-minutes.txt

IML Machine Learning Working Group Meeting - Tools

222/R-001

CERN