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Big Data Science in Astroparticle Research - HAP Workshop

Feb 19 – 21, 2018
RWTH Aachen University SuperC
Europe/Berlin timezone

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Session

Deep Learning

Feb 19, 2018, 2:00 PM
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. 2. Welcome and organizational matters
    Prof. Martin Erdmann (RWTH Aachen University)
    2/19/18, 2:00 PM
  2. 0. Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures
    Mr Yannik Rath (RWTH Aachen University)
    2/19/18, 2:15 PM
  3. 1. Tutorial on Adversarial Generative Networks, Wasserstein distance
    Mr Jonas Glombitza (RWTH Aachen University)
    2/19/18, 4:15 PM
  4. 3. Welcome Message of the Vice-Rector for Research and Structure
    Prof. Rudolf Mathar (RWTH Aachen University)
    2/20/18, 9:00 AM
  5. 4. DeepJet: jet classification with the CMS experiment
    Dr Markus Stoye (CERN)
    2/20/18, 9:15 AM
  6. 6. Application of machine learning methods to H.E.S.S. data analysis
    Dr Idan Shilon (ECAP University Erlangen)
    2/20/18, 10:00 AM
  7. 26. Event Reconstruction in IceCube using Deep Learning Techniques
    Mr Mirco Huennefeld (TU Dortmund)
    2/20/18, 10:20 AM
  8. 24. Efficient Similarity Search and Analysis
    Dr Christian Beecks
    2/20/18, 11:10 AM
  9. 9. Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks
    Mr Lukas Geiger (RWTH Aachen University)
    2/20/18, 11:55 AM
  10. 5. HexagDLy - Hexagonal Convolutions with PyTorch
    Mr Tim Lukas Holch (Humboldt University Berlin)
    2/20/18, 12:15 PM
  11. 22. Deep machine learning implementation in FPGA
    Dr Michele Caselle (KIT), Mr Weijia WANG
    2/20/18, 12:35 PM
  12. 8. Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations
    Dr Stefan Geißelsöder (ECAP, FAU Erlangen)
    2/20/18, 4:30 PM
  13. 10. Using Deep Learning to optimise a SUSY search at CMS
    Dr Adam Elwood (DESY Hamburg)
    2/20/18, 4:45 PM
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