Name: Big Data Science in Astroparticle Research - HAP Workshop
Start: 2018-02-19T13:00:00+01:00
End: 2018-02-21T15:00:00+01:00
Location: RWTH Aachen University SuperC

Big Data Science in Astroparticle Research - HAP Workshop

from Monday, February 19, 2018 (1:00 PM) to Wednesday, February 21, 2018 (3:00 PM)

Monday, February 19, 2018

1:00 PM

1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 3:45 PM
Contributions

2:00 PM Welcome and organizational matters - Martin Erdmann (RWTH Aachen University)

2:15 PM Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures - Yannik Rath (RWTH Aachen University)
3:45 PM

3:45 PM - 4:15 PM
4:15 PM
4:15 PM - 6:15 PM
Contributions

4:15 PM Tutorial on Adversarial Generative Networks, Wasserstein distance - Jonas Glombitza (RWTH Aachen University)
Tuesday, February 20, 2018
9:00 AM
9:00 AM - 10:40 AM
Contributions

9:00 AM Welcome Message of the Vice-Rector for Research and Structure - Rudolf Mathar (RWTH Aachen University)

9:15 AM DeepJet: jet classification with the CMS experiment - Markus Stoye (CERN)

10:00 AM Application of machine learning methods to H.E.S.S. data analysis - Idan Shilon (ECAP University Erlangen)

10:20 AM Event Reconstruction in IceCube using Deep Learning Techniques - Mirco Huennefeld (TU Dortmund)
10:40 AM Coffee
Coffee
10:40 AM - 11:10 AM
11:10 AM
11:10 AM - 1:00 PM
Contributions

11:10 AM Efficient Similarity Search and Analysis - Christian Beecks

11:55 AM Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks - Lukas Geiger (RWTH Aachen University)

12:15 PM HexagDLy - Hexagonal Convolutions with PyTorch - Tim Lukas Holch (Humboldt University Berlin)

12:35 PM Deep machine learning implementation in FPGA - Michele Caselle (KIT) Weijia WANG
1:00 PM

1:00 PM - 2:30 PM
2:30 PM
2:30 PM - 4:00 PM
Contributions

2:30 PM Making Deep Neural Networks Transparent - Wojciech Samek (Fraunhofer Heinrich Hertz Institute Berlin)

3:15 PM Denoising radio traces with autoencoder on Tunka-Rex experiment - Dmitriy Kostunin (IKP KIT Karlsruhe)

3:35 PM Deep Neural Network searching for an air shower radio signal - Radomir Smida (Karlsruhe Institute of Technology (KIT))
4:00 PM Coffee
Coffee
4:00 PM - 4:30 PM
4:30 PM 1-2 Transparencies
1-2 Transparencies
4:30 PM - 5:00 PM
Contributions

4:30 PM Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations - Stefan Geißelsöder (ECAP, FAU Erlangen)

4:45 PM Using Deep Learning to optimise a SUSY search at CMS - Adam Elwood (DESY Hamburg)
5:00 PM
5:00 PM - 6:00 PM
Contributions

5:00 PM Introduction to Open Data - Uli Katz (ECAP / Univ. Erlangen)

5:20 PM FACT Open Data Release - Maximilian Nöthe (Herr)
7:00 PM

7:00 PM - 10:00 PM
Wednesday, February 21, 2018
9:00 AM
9:00 AM - 10:50 AM
Contributions

9:00 AM Research Data Alliance - Peter Wittenburg (Max Planck Institute for Psycholinguistics Nijmegen, NL)

9:45 AM Big scientific data and Data Science - Tony Hey (Rutherford Appleton Laboratory, UK)
10:50 AM Coffee
Coffee
10:50 AM - 11:20 AM
11:20 AM
11:20 AM - 12:00 PM
Contributions

11:20 AM Progress on analysis and data centre for astroparticle physics - Andreas Haungs (KIT)

11:40 AM Concrete goals for (Astro-)particle progress related to Big Data Science - Alexander Schmidt (RWTH Aachen University)
12:00 PM
12:00 PM - 1:00 PM
Contributions

12:00 PM Discussion - Andreas Haungs (KIT) Martin Erdmann (RWTH Aachen University)
1:00 PM

1:00 PM - 2:00 PM

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