IML Machine Learning Working Group Meeting - Tools

Monday Oct 24, 2016, 3:00 PM → 5:05 PM Europe/Zurich

222/R-001 (CERN)

3:00 PM → 3:15 PM 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

3:15 PM → 3:25 PM New Machine-Learning Libraries in CVMFS

Speaker: Pere Mato Vila (CERN)

LCG-ML-Libraries.pdf

3:25 PM → 3:45 PM 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

3:45 PM → 4:00 PM Standalone Deep Learning Library in C++

Speaker: Daniel Hay Guest (University of California Irvine (US))

dguest_iml.pdf

4:00 PM → 4:20 PM 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

4:20 PM → 4:35 PM Distributed Deep Learning on Apache Spark with Keras

Speaker: Joeri Hermans (Maastricht University (NL))

Distributed Keras

Jupyter Notebook

4:35 PM → 4:45 PM Regression Loss Functions

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

4:45 PM → 5:00 PM 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

5:00 PM → 5:01 PM Minutes

IML-2016-10-24-minutes.txt