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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)
()
|
|
10:00
|
Application of machine learning methods to H.E.S.S. data analysis
- Dr.
Idan Shilon
(ECAP University Erlangen)
()
|
|
10:20
|
Event Reconstruction in IceCube using Deep Learning Techniques
- Mr.
Mirco Huennefeld
(TU Dortmund)
()
|
|
10:40
|
Coffee
(until 11:10)
()
|
|
11:10
|
Deep Learning
(until 13:00)
()
|
|
11:10
|
Efficient Similarity Search and Analysis
- Dr.
Christian Beecks
()
|
|
11:55
|
Generating and refining particle detector simulations using the Wasserstein distance in adversarial networks
- Mr.
Lukas Geiger
(RWTH Aachen University)
()
|
|
12:15
|
HexagDLy - Hexagonal Convolutions with PyTorch
- Mr.
Tim Lukas Holch
(Humboldt University Berlin)
()
|
|
12:35
|
Deep machine learning implementation in FPGA
- Mr.
Weijia WANG Dr.
Michele Caselle
(KIT)
()
|
|
|
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)
()
|
|
09:45
|
Big scientific data and Data Science
- Prof.
Tony Hey
(Rutherford Appleton Laboratory, UK)
()
|
|
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)
()
|
|
11:40
|
Concrete goals for (Astro-)particle progress related to Big Data Science
- Prof.
Alexander Schmidt
(RWTH Aachen University)
()
|
|
|
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)
()
|
|
14:15
|
Tutorial Deep Networks: Introduction, Fully-Connected, Convolutional Architectures
- Mr.
Yannik Rath
(RWTH Aachen University)
()
|
|
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)
()
|
|
|
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)
()
|
|
15:15
|
Denoising radio traces with autoencoder on Tunka-Rex experiment
- Dr.
Dmitriy Kostunin
(IKP KIT Karlsruhe)
()
|
|
15:35
|
Deep Neural Network searching for an air shower radio signal
-
Radomir Smida
(Karlsruhe Institute of Technology (KIT))
()
|
|
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)
()
|
|
16:45
|
Using Deep Learning to optimise a SUSY search at CMS
- Dr.
Adam Elwood
(DESY Hamburg)
()
|
|
17:00
|
Open Data, Data Centers, Computing Technology
(until 18:00)
()
|
|
17:00
|
Introduction to Open Data
- Prof.
Uli Katz
(ECAP / Univ. Erlangen)
()
|
|
17:20
|
FACT Open Data Release
- Mr.
Maximilian Nöthe
(Herr)
()
|
|
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)
()
|
|
13:00
|
Depart
(until 14:00)
()
|
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