We thank all the speakers for their very interesting contributions during the Machine Learning Day. For all those, who did not find a seat because the room was full: You can download the talks below!
This one-day symposium highlighted research activities at the University of Cologne applying machine learning techniques to vastly different fields — all the way from quantum matter to biological systems to economic and societal systems. Pedagogical talks werecomplemented by ample time for interactions amongst the participants. Organized by Prof. Trebst and Prof. Tresch in collaboration with the competence area 3 “Quantitative Modeling of Complex Systems”, the 2017 Machine Learning Day was a continuation of annual events such as the Computational Science Days and the Big Data Symposium.
Date:
Thursday, April 6th, 2017, 9 a.m. - 4 p.m.
Location:
Tagungsraum
Neues Seminargebäude
Albertus-Magnus-Platz
50923 Cologne
Contact: m.papen@uni-koeln.de
The ML-Day is open for everyone. A registration is not needed to attend.
Program
Time | Title | Speaker | Institute |
09:00 | Intro | Simon Trebst |
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09:15 | Simon Trebst | Theoretical Physics | |
09:45 | kernDeepStackNet: An R package for tuning kernel deep stacking networks | Thomas Welchowski and Matthias Schmid | IMBIE, Bonn |
10:15 | coffee break |
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10:45 | Jürgen Hermes | Department of Linguistics | |
11:15 | Jörn Grahl | Digital Transformation and Value Creation | |
11:45 | lunch break |
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13:15 | David Gross | Theoretical Physics | |
13:45 | Frank Vallentin | Mathematical Institute | |
14:15 | coffee break |
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14:45 | Reconstruction of Biological Networks | Achim Tresch | Bioinformatics and Computational Biology |
15:15 | Andreas Beyer | CECAD | |
15:45 | End |
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