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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

 

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