|
|
|
09:00
|
Deep Learning
(until 10:45)
()
|
|
09:00
|
Organisational Matter
- Prof.
Martin Erdmann
(RWTH Aachen University)
()
|
|
09:15
|
Deep Learning for neutrino telescopes
- Dr.
Stefan GEIßELSÖDER
(ECAP, Friedrich-Alexander-Universität Erlangen)
()
|
|
09:40
|
Deep Learning in Astroparticle Physics exemplified by the Reconstruction of Muon‐Neutrino Events in IceCube
- Mr.
Mirco HÜNNEFELD
(TU Dortmund)
()
|
|
10:05
|
Recognizing patterns in the arrival directions of ultra‐high energy cosmic rays using deep neural networks
- Mr.
Marcus Wirtz
(RWTH Aachen University)
()
|
|
10:30
|
Message of the Vice-Rector for Research and Structure of the RWTH Aachen University
- Prof.
Rudolf Mathar
(RWTH Aachen University)
()
|
|
10:45
|
--- Coffee ---
|
|
11:15
|
Deep Learning
(until 12:45)
()
|
|
11:15
|
Convolutional Networks in Computer Vision
- Prof.
Bastian Leibe
(RWTH Aachen University)
()
|
|
12:05
|
Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression
- Mr.
Maximilian NOETHE
(TU Dortmund)
()
|
|
12:25
|
Pattern recognition in KM3NeT: A multi-dimensional challenge
- Dr.
Joao COELHO
(APC Paris)
()
|
|
|
09:00
|
Open software & analysis presentation
(until 10:40)
()
|
|
09:00
|
The path to the SKA: Big data challenges in radio astronomy
- Dr.
Ewan BARR
(Max Planck Institut fuer Radioastronomie, Bonn)
()
|
|
09:50
|
Data Publishing, Standards, and the Payoff: A Brief Account of the Astronomical Virtual Observatory
- Dr.
Markus DEMLEITNER
(GAVO, Universität Heidelberg)
()
|
|
10:40
|
--- Coffee ---
|
|
11:10
|
Open software & analysis presentation
(until 12:00)
()
|
|
11:10
|
KCDC: data preservation and publication
- Dr.
Andreas Haungs
(KIT)
()
|
|
11:35
|
Accelerating the Digital Transformation in Science
- Dr.
Mikael Gast
(Federal Ministry of Education and Research)
()
|
|
|
13:00
|
arrive
(until 14:00)
()
|
|
14:00
|
Deep Learning tutorial
(until 15:45)
()
|
|
14:00
|
Welcome: Dean of Faculty of Mathematics, Computer Science and Natural Sciences
- Prof.
Stefan Schael
(RWTH Aachen University)
()
|
|
14:15
|
Deep Learning Tutorial: basic concepts, fully connected networks
- Mr.
David Walz
(RWTH Aachen University, III Physikalisches Institut A)
()
|
|
15:45
|
--- Coffee ---
|
|
16:15
|
Deep Learning tutorial
-Mr.
David Walz
(RWTH Aachen University, III Physikalisches Institut A)
(until 18:30)
()
|
|
16:15
|
Deep Learning Tutorial: advanced architectures, convolutional networks
- Mr.
David Walz
(RWTH Aachen University, III Physikalisches Institut A)
()
|
|
|
13:00
|
--- Lunch ---
|
|
14:30
|
Deep Learning
(until 16:15)
()
|
|
14:30
|
Spatiotemporal Integration in Recurrent Deep Neural Networks
- Prof.
Sven Behnke
(University of Bonn, Computer Science Institute VI)
()
|
|
15:15
|
Exploring deep network architectures to reconstruct cosmic ray induced air showers
- Mr.
Jonas Glombitza
(RWTH Aachen University)
()
|
|
15:35
|
Using neural nets to predict SUSY yields at the LHC
- Prof.
Jamie TATTERSALL
(RWTH Aachen Unversity)
()
|
|
15:55
|
Event reconstruction and classification in proton-proton collisions using deep neural networks
- Mr.
Yannik Rath
(RWTH Aachen University)
()
|
|
16:15
|
--- Coffee ---
|
|
16:45
|
Deep Learning
(until 17:20)
()
|
|
16:45
|
Biological neuronal networks - from structure to activity
- Prof.
Moritz Helias
(Research Centre Jülich, Institute of Neuroscience and Medicine)
()
|
|
17:25
|
Open data
(until 18:30)
()
|
|
17:25
|
CREDO: a global cosmic-ray analysis and data processing challenges
- Mr.
Oleksandr SUSHCHOV
(Institute of Nuclear Physics, Polish Academy of Sciences)
()
|
|
17:45
|
Workflow Management for user analyses in particle physics
- Mr.
Robert Fischer
(RWTH Aachen University)
()
|
|
18:05
|
GPU usage of Auger data in the Offline Framework
- Dr.
Julian Rautenberg
(Bergiscche Universität Wuppertal)
()
|
|
19:00
|
--- Conference Dinner ---
|
|
|
12:00
|
Discussion on perspectives of common efforts
(until 12:45)
()
|
|
12:00
|
Discussion
- Prof.
Martin Erdmann
(RWTH Aachen University) Dr.
Andreas Haungs
(KIT)
()
|
|
13:00
|
--- depart ---
|
|
