Machine Learning for Physics

Tuesday, 21 May 2019 - 13:00
Rosensaele, FSU Jena (Rosensaele/1st floor-101)

        : Sessions
    /     : Talks
        : Breaks
21 May 2019
AM
PM
13:00 Begrüßung - Bernd Bruegmann Joachim Giesen   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
13:10 From correlation to causality - machine-learning in physics and astronomy (keynote) - Karl Mannheim   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
13:50 GENO: GENeric Optimization for machine learning with an example from physics - Soeren Laue   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
14:10 --- Kaffeepause ---
14:30 Perspectives for causal inference in earth system sciences - Jakob Runge   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
14:50 Detection and attribution of extreme events in earth observation time series - Maha Shadaydeh   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
15:10 Deep learning for gravitational wave data analysis - Bernd Bruegmann   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
15:30 Sparse + low rank models - Frank Nussbaum Joachim Giesen   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
15:50 --- Kaffeepause ---
16:10 The inverse modelling toolbox - Rainer Heintzmann   (Rosensaele/1st floor-101 - Kleiner Rosensaal)
16:30 Understanding the earth system with machine learning - Markus Reichstein Joachim Denzler   (Rosensaele/1st floor-101 - Kleiner Rosensaal)