Alexander Auras M.Sc.

I’m a PhD student and research associate at the groups for Computer Vision and Visual Computing. My research concerns the usage of machine learning approaches for inverse problems in imaging, with a focus on hybrid methods. My goal is to combine mathematical guarantees of classical, variational methods with the performance of modern, deep learning based solutions. Another focus is the use of methods of the field of neural architecture search to find promising solution candidates for these problems.