2:00pm - 2:20pmFoundations of Supervised Deep Learning for Inverse Problems
A. Auras1, M. Burger2,3, S. Kabri2, M. Möller1
1University of Siegen; 2Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY; 3Universität Hamburg
2:20pm - 2:40pmCombinatorial and implicit views on parameter optimization in neural networks
G. Montufar1,2
1University of California, Los Angeles, USA; 2Max Planck Institute for Mathematics in the Sciences
2:40pm - 3:00pmRegularized, structure-preserving neural networks for the minimal entropy closure of the Boltzmann moment system
S. Schotthoefer1, P. Laiu1, C. Hauck1, M. Frank2
1Oak Ridge National Laboratory, USA; 2Karlsruhe Institute of Technology
3:00pm - 3:20pmAdaptive Step Sizes for Preconditioned Stochastic Gradient Descent
F. Köhne1, L. Kreis2, A. Schiela1, R. Herzog2
1University of Bayreuth; 2Heidelberg University
3:20pm - 3:40pmNon-vacuous PAC-Bayes bounds for Models under Adversarial Corruptions
W. Mustafa, P. Liznerski, A. Ledent, D. Wagner, P. Wang, M. Kloft
RPTU Kaiserslautern-Landau
3:40pm - 4:00pmConvergence results for gradient flow and gradient descent systems in artificial neural network training
A. Ahmadova
University of Duisburg-Essen
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