| Observing spatio-temporal dynamics of excitable media using reservoir computing RS Zimmermann, U Parlitz Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (4), 043118, 2018 | 78 | 2018 |
| A simple way to make neural networks robust against diverse image corruptions E Rusak, L Schott, RS Zimmermann, J Bitterwolf, O Bringmann, M Bethge, ... European Conference on Computer Vision (ECCV) 2020, 2020 | 67* | 2020 |
| Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX J Rauber, R Zimmermann, M Bethge, W Brendel Journal of Open Source Software 5 (53), 2607, 2020 | 47 | 2020 |
| Faster training of Mask R-CNN by focusing on instance boundaries RS Zimmermann, JN Siems Computer Vision and Image Understanding, 102795, 2019 | 34 | 2019 |
| Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network" RS Zimmermann arXiv preprint arXiv:1907.00895, 2019 | 7 | 2019 |
| Contrastive Learning Inverts the Data Generating Process RS Zimmermann, Y Sharma, S Schneider, M Bethge, W Brendel International Conference of Machine Learning 2021 139, 12979-12990, 2021 | 5 | 2021 |
| Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization J Borowski, RS Zimmermann, J Schepers, R Geirhos, TSA Wallis, ... International Conference on Learning Representations 2021, 2020 | 4* | 2020 |
| A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs N Kapoor, C Yuan, J Löhdefink, R Zimmerman, S Varghese, F Hüger, ... Computer Science in Cars Symposium, 1-8, 2020 | 1 | 2020 |
| Score-Based Generative Classifiers RS Zimmermann, L Schott, Y Song, BA Dunn, DA Klindt arXiv preprint arXiv:2110.00473, 2021 | | 2021 |
| How Well do Feature Visualizations Support Causal Understanding of CNN Activations? RS Zimmermann, J Borowski, R Geirhos, M Bethge, TSA Wallis, ... arXiv preprint arXiv:2106.12447, 2021 | | 2021 |
| Reconstructing complex cardiac excitation waves from incomplete data using echo state networks and convolutional autoencoders S Herzog, RS Zimmermann, J Abele, S Luther, U Parlitz Frontiers in Applied Mathematics and Statistics 6, 2021 | | 2021 |
| Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks B Fernandez-Gauna, M Graña, RS Zimmermann arXiv preprint arXiv:1904.07817, 2019 | | 2019 |
Ulrich ParlitzVerified email at ds.mpg.de
