I am a PhD student at the [University of Tübingen] and the Max Planck Research School for Intelligent Systems (IMPRS-IS), working in the lab of Matthias Bethge under the supervision of Wieland Brendel. I’ve completed my Bachelors and Masters from the University of Göttingen, and have spent time at Volkswagen and BMW.
I started doing research on object detection and segmentation. In the recent past I have primarily worked on understanding failure cases of machine learning models in computer vision tasks through the lense of adversarial perturbations and common corruptions. This lead me to my next goal: aligning the decision process of machines with that of humans by recreating the natural learning process and inducing priors.
Current research interests: self-supervised learning, adversarial robustness, disentanglement
articleReconstructing complex cardiac excitation waves from incomplete data using echo state networks and convolutional autoencoders
Herzog, S., Zimmermann, R. S., Abele, J., Luther, S. and Parlitz, U.
ICLR 2021Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Borowski*, J., Zimmermann*, R. S., Schepers, J., Geirhos, R. , Wallis, T. S. A., Bethge, M. and Brendel, W.
Zimmermann*, R. S., Schneider*, S. Sharma*, Y., Bethge, M. and Brendel, W.,