-
14:30
Introduction
-
Frank Schluenzen
(DESY)
Wojciech Fedorko
(TRIUMF)
-
14:40
The Helmholtz Analytics Toolkit (HeAT), a Distributed Data Analysis Framework
-
Daniel Coquelin
(FZJ)
-
15:10
Deep Learning Applications in Water Cherenkov Neutrino Detectors
-
Nick Prouse
(TRIUMF)
-
15:40
Deep Learning Applications in Photon Science imaging applications
-
Philipp Heuser
(DESY)
-
16:30
Gaussian Process extrapolation of No-Core Shell Model Calculations
-
Michael Gennari
(University of Waterloo)
Peter Gysbers
(TRIUMF)
-
17:00
Application of Machine Learning in CMS
-
Dirk Kruecker
(DESY)
-
17:30
Applications of Machine Learning in Accelerator Operation
-
Sergey Tomin
(European XFEL)