Roland S. Zimmermann
Affiliations:- University of Tübingen, Germany
- Volkswagen AG Wolfsburg, Germany (former)
- University of Göttingen, Germany (former)
According to our database1,
Roland S. Zimmermann
authored at least 20 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX.
J. Open Source Softw., 2020
Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders.
Frontiers Appl. Math. Stat., 2020
CoRR, 2020
Increasing the robustness of DNNs against image corruptions by playing the Game of Noise.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020
2019
Comput. Vis. Image Underst., 2019
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network".
CoRR, 2019
Simion Zoo: A Workbench for Distributed Experimentation with Reinforcement Learning for Continuous Control Tasks.
CoRR, 2019