Big Data Science in Astroparticle Research - HAP Workshop

from Monday, 19 February 2018 (13:00) to Wednesday, 21 February 2018 (15:00)
RWTH Aachen University SuperC

        : Sessions
    /     : Talks
        : Breaks
19 Feb 2018
20 Feb 2018
21 Feb 2018
AM
09:00
Deep Learning (until 10:40) ()
09:00 Welcome Message of the Vice-Rector for Research and Structure - Prof. Rudolf Mathar (RWTH Aachen University)   ()
09:15 DeepJet: jet classification with the CMS experiment - Dr. Markus Stoye (CERN)   ()
Slides
10:00 Application of machine learning methods to H.E.S.S. data analysis - Dr. Idan Shilon (ECAP University Erlangen)   ()
Slides
10:20 Event Reconstruction in IceCube using Deep Learning Techniques - Mr. Mirco Huennefeld (TU Dortmund)   ()
Slides
10:40
Coffee (until 11:10) ()
11:10
Deep Learning (until 13:00) ()
11:10 Efficient Similarity Search and Analysis - Dr. Christian Beecks   ()
Slides
11:55 Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks - Mr. Lukas Geiger (RWTH Aachen University)   ()
Slides
12:15 HexagDLy - Hexagonal Convolutions with PyTorch - Mr. Tim Lukas Holch (Humboldt University Berlin)   ()
Slides
12:35 Deep machine learning implementation in FPGA - Dr. Michele Caselle (KIT) Mr. Weijia WANG   ()
Slides
09:00
Open Data, Data Centers, Computing Technology (until 10:50) ()
09:00 Research Data Alliance - Dr. Peter Wittenburg (Max Planck Institute for Psycholinguistics Nijmegen, NL)   ()
Slides
09:45 Big scientific data and Data Science - Prof. Tony Hey (Rutherford Appleton Laboratory, UK)   ()
Slides
10:50
Coffee (until 11:20) ()
11:20
Open Data, Data Centers, Computing Technology (until 12:00) ()
11:20 Progress on analysis and data centre for astroparticle physics - Dr. Andreas Haungs (KIT)   ()
Slides
11:40 Concrete goals for (Astro-)particle progress related to Big Data Science - Prof. Alexander Schmidt (RWTH Aachen University)   ()
Slides
PM
13:00
Arrive (until 14:00) ()
14:00
Deep Learning (until 15:45) ()
14:00 Welcome and organizational matters - Prof. Martin Erdmann (RWTH Aachen University)   ()
Slides
14:15 Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures - Mr. Yannik Rath (RWTH Aachen University)   ()
Slides
15:45
Coffee (until 16:15) ()
16:15
Deep Learning (until 18:15) ()
16:15 Tutorial on Adversarial Generative Networks, Wasserstein distance - Mr. Jonas Glombitza (RWTH Aachen University)   ()
Slides
13:00
Lunch (until 14:30) ()
14:30
Deep Learning (until 16:00) ()
14:30 Making Deep Neural Networks Transparent - Dr. Wojciech Samek (Fraunhofer Heinrich Hertz Institute Berlin)   ()
Slides
15:15 Denoising radio traces with autoencoder on Tunka-Rex experiment - Dr. Dmitriy Kostunin (IKP KIT Karlsruhe)   ()
Slides
15:35 Deep Neural Network searching for an air shower radio signal - Radomir Smida (Karlsruhe Institute of Technology (KIT))   ()
Slides
16:00
Coffee (until 16:30) ()
16:30
Deep Learning (until 17:00) ()
16:30 Investigating deep convolutional autoencoders to mitigate systematic differences between data and simulations - Dr. Stefan Geißelsöder (ECAP, FAU Erlangen)   ()
Slides
16:45 Using Deep Learning to optimise a SUSY search at CMS - Dr. Adam Elwood (DESY Hamburg)   ()
Slides
17:00
Open Data, Data Centers, Computing Technology (until 18:00) ()
17:00 Introduction to Open Data - Prof. Uli Katz (ECAP / Univ. Erlangen)   ()
Slides
17:20 FACT Open Data Release - Mr. Maximilian Nöthe (Herr)   ()
Slides
19:00
Conference Dinner (until 22:00) ()
12:00
Discussion on perspectives and common efforts (until 13:00) ()
12:00 Discussion - Prof. Martin Erdmann (RWTH Aachen University) Dr. Andreas Haungs (KIT)   ()
Slides
13:00
Depart (until 14:00) ()
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