René Raab
René Raab
Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
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CLIP: Cheap Lipschitz training of neural networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
Scale Space and Variational Methods in Computer Vision: 8th International …, 2021
Exploring misclassifications of robust neural networks to enhance adversarial attacks
L Schwinn, R Raab, A Nguyen, D Zanca, B Eskofier
Applied Intelligence, 1-17, 2023
Automated video-based analysis framework for behavior monitoring of individual animals in zoos using deep learning—A study on polar bears
M Zuerl, P Stoll, I Brehm, R Raab, D Zanca, S Kabri, J Happold, H Nille, ...
Animals 12 (6), 692, 2022
Identifying untrustworthy predictions in neural networks by geometric gradient analysis
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
Uncertainty in Artificial Intelligence, 854-864, 2021
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
L Schwinn, L Bungert, A Nguyen, R Raab, F Pulsmeyer, D Precup, ...
International Conference on Machine Learning, 19434-19449, 2022
Towards rapid and robust adversarial training with one-step attacks
L Schwinn, R Raab, B Eskofier
arXiv preprint arXiv:2002.10097, 2020
Dynamically sampled nonlocal gradients for stronger adversarial attacks
L Schwinn, A Nguyen, R Raab, D Zanca, BM Eskofier, D Tenbrinck, ...
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Aligning Federated Learning with Existing Trust Structures in Health Care Systems
IY Abdullahi, R Raab, A Küderle, B Eskofier
International Journal of Environmental Research and Public Health 20 (7), 5378, 2023
Joshua-PG: A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games
R Raab
Maastricht University, 2019
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games
R Raab, K Driessens
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