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)
|