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HAP Workshop | Big Data Science in Astroparticle Physics

Feb 20 – 22, 2017
RWTH Aachen University SuperC
Europe/Berlin timezone

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Session

Deep Learning

Feb 21, 2017, 9:00 AM
RWTH Aachen University SuperC

RWTH Aachen University SuperC

RWTH Aachen University Templergraben 57, 52062 Aachen phone:0241 8090801

Presentation materials

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  1. 3. Organisational Matter
    Prof. Martin Erdmann (RWTH Aachen University)
    2/21/17, 9:00 AM
  2. 4. Deep Learning for neutrino telescopes
    Dr Stefan GEIßELSÖDER (ECAP, Friedrich-Alexander-Universität Erlangen)
    2/21/17, 9:15 AM
  3. 5. Deep Learning in Astroparticle Physics exemplified by the Reconstruction of Muon‐Neutrino Events in IceCube
    Mr Mirco HÜNNEFELD (TU Dortmund)
    2/21/17, 9:40 AM
  4. 6. Recognizing patterns in the arrival directions of ultra‐high energy cosmic rays using deep neural networks
    Mr Marcus Wirtz (RWTH Aachen University)
    2/21/17, 10:05 AM
  5. 7. Message of the Vice-Rector for Research and Structure of the RWTH Aachen University
    Prof. Rudolf Mathar (RWTH Aachen University)
    2/21/17, 10:30 AM
    data driven modeling und match of the topic to the strategy of RWTH
    Go to contribution page
  6. 8. Convolutional Networks in Computer Vision
    Prof. Bastian Leibe (RWTH Aachen University)
    2/21/17, 11:15 AM
  7. 9. Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression
    Mr Maximilian NOETHE (TU Dortmund)
    2/21/17, 12:05 PM
  8. 10. Pattern recognition in KM3NeT: A multi-dimensional challenge
    Dr Joao COELHO (APC Paris)
    2/21/17, 12:25 PM
  9. 11. Spatiotemporal Integration in Recurrent Deep Neural Networks
    Prof. Sven Behnke (University of Bonn, Computer Science Institute VI)
    2/21/17, 2:30 PM
  10. 12. Exploring deep network architectures to reconstruct cosmic ray induced air showers
    Mr Jonas Glombitza (RWTH Aachen University)
    2/21/17, 3:15 PM
  11. 13. Using neural nets to predict SUSY yields at the LHC
    Prof. Jamie TATTERSALL (RWTH Aachen Unversity)
    2/21/17, 3:35 PM
  12. 14. Event reconstruction and classification in proton-proton collisions using deep neural networks
    Mr Yannik Rath (RWTH Aachen University)
    2/21/17, 3:55 PM
  13. 15. Biological neuronal networks - from structure to activity
    Prof. Moritz Helias (Research Centre Jülich, Institute of Neuroscience and Medicine)
    2/21/17, 4:45 PM
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