HAP Workshop | Big Data Science in Astroparticle Physics

Session

Deep Learning

Feb 21, 2017, 9:00 AM

RWTH Aachen University SuperC

3. Organisational Matter

Prof. Martin Erdmann (RWTH Aachen University)

2/21/17, 9:00 AM

4. Deep Learning for neutrino telescopes

Dr Stefan GEIßELSÖDER (ECAP, Friedrich-Alexander-Universität Erlangen)

2/21/17, 9:15 AM

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

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

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

8. Convolutional Networks in Computer Vision

Prof. Bastian Leibe (RWTH Aachen University)

2/21/17, 11:15 AM

9. Machine Learning in gamma‐ray astronomy: More than just Background‐Suppression

Mr Maximilian NOETHE (TU Dortmund)

2/21/17, 12:05 PM

10. Pattern recognition in KM3NeT: A multi-dimensional challenge

Dr Joao COELHO (APC Paris)

2/21/17, 12:25 PM

11. Spatiotemporal Integration in Recurrent Deep Neural Networks

Prof. Sven Behnke (University of Bonn, Computer Science Institute VI)

2/21/17, 2:30 PM

12. Exploring deep network architectures to reconstruct cosmic ray induced air showers

Mr Jonas Glombitza (RWTH Aachen University)

2/21/17, 3:15 PM

13. Using neural nets to predict SUSY yields at the LHC

Prof. Jamie TATTERSALL (RWTH Aachen Unversity)

2/21/17, 3:35 PM

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

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