Roland Simon Zimmermann
Title
Cited by
Cited by
Year
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
782018
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
472020
Faster training of Mask R-CNN by focusing on instance boundaries
RS Zimmermann, JN Siems
Computer Vision and Image Understanding, 102795, 2019
342019
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"
RS Zimmermann
arXiv preprint arXiv:1907.00895, 2019
72019
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
52021
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
12020
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
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Articles 1–12