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Center for Data and Simulation Science

Speaker (Invited)  
Bojchevski, Aleksandar Machine Learning with Guarantees
Heinlein, Alexander Neural networks with physical constraints — Domain decomposition-based network architectures, and model order reduction
Peitz, Sebastian Sample efficiency in data-driven Model Predictive Control and Reinforcement Learning
Veroy-Grepl, Karen Model Order Reduction in the Multi-Scale Materials Setting
Speaker (Contributed)  
Abbasi, Reyhaneh An improved detection and classification method for mouse ultrasonic vocalizations
Climaco, Paolo Investigating the effects of minimising the training set fill distance in machine learning regression
David, Darlington S. Breast Cancer Prediction using Machine Learning Algorithms – A Deep Learning Approach (cancelled)
Drygala, Claudia Learning from Chaos
Gottschalk, Hanno LU-Net: Invertible Neural Networks Based on Matrix Factorization
Maag, Kira Out-of-Distribution Segmentation via Pixel-wise Gradient Uncertainty
Massiani, Pierre-François Safe Value Functions
Staerk, Christian Adaptive sampling and variable selection strategies for high-dimensional genetic data
Stoll, Martin Efficient linear algebra for training Gaussian processes
Tian, Renzhi Data-driven turbulence modelling using Gene Expression Programming
Weber, Janine A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems