TrackML: a LHC Tracking Machine Learning Challenge
David Rousseau
(1)
,
Paolo Calafiura
(2)
,
Cecile Germain
(3)
,
Vincenzo Innocente
(4)
,
Riccardo Cenci
(5)
,
Michael Kagan
(6)
,
Isabelle Guyon
(7, 3, 8)
,
David Clark
(2)
,
Steven Farrell
(2)
,
Rebecca Carney
(9)
,
Andreas Salzburger
(4)
,
Davide Costanzo
(10)
,
Markus Elsing
(4)
,
Tobias Golling
(11)
,
Tony Tong
(12)
,
Jean-Roch Valéry Vlimant
(13)
1
LAL -
Laboratoire de l'Accélérateur Linéaire
2 LBNL - Lawrence Berkeley National Laboratory [Berkeley]
3 TAO - Machine Learning and Optimisation
4 CERN [Genève]
5 University of Pisa - Università di Pisa
6 SLAC - SLAC National Accelerator Laboratory
7 LRI - Laboratoire de Recherche en Informatique
8 Chalearn
9 Stockholm University
10 University of Sheffield [Sheffield]
11 UNIGE - Université de Genève = University of Geneva
12 Harvard University
13 CALTECH - California Institute of Technology
2 LBNL - Lawrence Berkeley National Laboratory [Berkeley]
3 TAO - Machine Learning and Optimisation
4 CERN [Genève]
5 University of Pisa - Università di Pisa
6 SLAC - SLAC National Accelerator Laboratory
7 LRI - Laboratoire de Recherche en Informatique
8 Chalearn
9 Stockholm University
10 University of Sheffield [Sheffield]
11 UNIGE - Université de Genève = University of Geneva
12 Harvard University
13 CALTECH - California Institute of Technology