HEP Software Foundation Workshop

Session

Machine Learning

3 May 2016, 09:00

Amphiteatre Pierre Leman (LAL)

Conveners

Machine Learning

• David Rousseau (LAL-Orsay, FR)
• Jean-Roch Vlimant (California Institute of Technology (US))

Description

Following various recent HEP and ML workshops (for example http://cern.ch/DataScienceLHC2015) , this session focusses on issues around Machine Learning : how to allow HEP physicists to do cutting edge Machine Learning and foster collaboration with Machine Learners ?

16. Introduction

David Rousseau (LAL-Orsay, FR), Dr Jean-Roch Vlimant (California Institute of Technology (US))

03/05/2016, 09:00

34. Deep Learning Implications for HEP Software & Computing

Amir Farbin (University of Texas at Arlington (US))

03/05/2016, 09:05

17. Report from openLab ML workshop

Maria Girone (CERN)

03/05/2016, 09:35

18. TMVA, Root-R, Root SciKit-learn

Lorenzo Moneta (CERN)

03/05/2016, 10:00

20. Everware and yandex' rep

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

03/05/2016, 10:25

19. Experience with Theano/Keras

Michela Paganini (Yale University (US))

03/05/2016, 11:10

23. Open Data

Kati Lassila-Perini (Helsinki Institute of Physics (FI))

03/05/2016, 11:35

24. Open Sim : ACTS, A Common Tracking Software

Andreas Salzburger (CERN)

03/05/2016, 12:00

25. Interexperiment Machine Learning group and HSF

Michele Floris (CERN), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH)), Tim Head (The University of Manchester)

03/05/2016, 12:25