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Machine Learning Day 2017

This one-day symposium will highlight 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 are complemented 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 is a continuation of annual events such as the Computational Science Days and the Big Data Symposium.

Everyone is welcome to join!

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
09:15 Quantum Machine Learning 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
10:45 Applying Machine Learning to Text Mining Jürgen Hermes Department of Linguistics
11:15 Machine learning and the social sciences Jörn Grahl Digital Transformation and Value Creation
11:45 lunch break
13:15 Compressed Sensing for Sparse and Low-Rank Models David Gross Theoretical Physics
13:45 Sparse PCA and convex optimization Frank Vallentin Mathematical Institute
14:15 coffee break
14:45 Reconstruction of Biological Networks Achim Tresch Bioinformatics and Computational Biology
15:15 Illuminating Genetic Networks with Random Forest Andreas Beyer CECAD
15:45 End