The WG Industrial Mathematics is composed of an international and interdisciplinary team from different disciplines of applied mathematics.
WG Industrial Mathematics
Welcome - The WG Industrial Mathematics of the ZeTeM introduces itself
Autumn School Deep Learning and Inverse Problems
November 04th - 08th 2019, University of Bremen
Our central research focus is Deep Learning and neural networks. In the context of diverse research projects, fundamental topics such as the connection of Deep Learning with Inverse Problems or invertible neural networks are investigated.
One highlight of these activities was, for example, the organization of the Autumn School on Deep Learning and Inverse Problems. Applications of the current research results include medical imaging, e.g. data-based reconstruction methods in computed tomography, or tumor classification based on MALDI imaging. This transfer of novel mathematical methods of Deep Learning into industrial applications is also supported by events like the Deep Learning Forum Bremen.