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Center for Data and Simulation Science

Schedule

Thursday – May 4 Chair
12:00–12:20
Registration & Opening
12:20–13:15
Alexander Heinlein
 Neural networks with physical constraints — Domain decomposition-based network architectures, and model order reduction Axel Klawonn
13:15–13:35 20 Minute Break
13:35–14:00 Claudia Drygala Learning from Chaos Alexander Heinlein
14:00–14:25 Renzhi Tian Data-driven turbulence modelling using Gene Expression Programming Alexander Heinlein
14:25–14:55 30 Minute Break
14:55–15:50
Karen Veroy-Grepl

Model Order Reduction in the Multi-Scale Materials Setting

 Sebastian Peitz
15:50–15:55 5 Minute Break
15:55–16:20 Janine Weber A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems Martin Stoll
16:20–16:45 Kira Maag Out-of-Distribution Segmentation via Pixel-wise Gradient Uncertainty Martin Stoll
16:45–17:00 15 Minute Break
17:00–17:25 Reyhaneh Abbasi An improved detection and classification method for mouse ultrasonic vocalizations Axel Klawonn
17:25–17:50 Martin Stoll Efficient linear algebra for training Gaussian processes Axel Klawonn
17:50–18:15 Darlington S. David Breast Cancer Prediction using Machine Learning Algorithms – A Deep Learning Approach (cancelled) Axel Klawonn
18:15–18:30
Meeting of the GAMM Activity Group “Computational and Mathematical
Methods in Data Science”
19:30 Dinner (Brauerei Päffgen)
Friday – May 5 Chair
09:00–09:55
Aleksandar Bojchevski
 Machine Learning with Guarantees Hanno Gottschalk
09:55–10:00 5 Minute Break
10:00–10:25 Pierre-François Massiani Safe Value Functions Aleksandar Bojchevski
10:25–10:50 Hanno Gottschalk LU-Net: Invertible Neural Networks Based on Matrix Factorization Aleksandar Bojchevski
10:50–11:10 20 Minute Break
11:10–11:35 Christian Staerk Adaptive sampling and variable selection strategies for high-dimensional genetic data Martin Lanser
11:35–12:00 Paolo Climaco Investigating the effects of minimising the training set fill distance in machine learning regression Martin Lanser
12:00:12:05 5 Minute Break
12:05–13:00
Sebastian Peitz
 Sample efficiency in data-driven Model Predictive Control and Reinforcement Learning Martin Stoll
13:00 Farewell & Light Lunch