IML Machine Learning Working Group Meeting - Tools

Monday 24 Oct 2016, 15:00 → 17:05 Europe/Zurich

222/R-001 (CERN)

15:00 → 15:15 News and group updates

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

Speaker: Pere Mato Vila (CERN)

LCG-ML-Libraries.pdf

15:25 → 15:45 Cross-Validation and Hyperparameter Tuning in TMVA/SparkMVA

Speakers: Dr Georgios Douzas, Thomas James Stevenson (University of London (GB))

CV_IML_Oct2016.pdf

Presentation.pdf

Example CrossValidation code Example_CrossValidation.C tmva_class_example.root

15:45 → 16:00 Standalone Deep Learning Library in C++

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

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

Speaker: Joeri Hermans (Maastricht University (NL))

Distributed Keras

Jupyter Notebook

16:35 → 16:45 Regression Loss Functions

Speaker: Andrew Mathew Carnes (University of Florida (US))

16:45 → 17:00 TMVA Parallelization

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

IML-2016-10-24-minutes.txt