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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

09:00IntroSimon Trebst
09:15Quantum Machine LearningSimon TrebstTheoretical Physics
09:45kernDeepStackNet: An R package for tuning kernel deep stacking networksThomas Welchowski and Matthias SchmidIMBIE, Bonn
10:15coffee break
10:45Applying Machine Learning to Text MiningJürgen HermesDepartment of Linguistics
11:15Machine learning and the social sciencesJörn GrahlDigital Transformation and Value Creation
11:45lunch break
13:15Compressed Sensing for Sparse and Low-Rank ModelsDavid GrossTheoretical Physics
13:45Sparse PCA and convex optimizationFrank VallentinMathematical Institute
14:15coffee break
14:45Reconstruction of Biological NetworksAchim TreschBioinformatics and Computational Biology
15:15Illuminating Genetic Networks with Random ForestAndreas BeyerCECAD
15:45End