René Raab

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Bjoern M. EskofierMachine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Leo SchwinnPostdoc @ Friedrich-Alexander Universität Erlangen NürnbergVerified email at fau.de
Dario ZancaHead of Applied Machine Learning Group @ MaD Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
An NguyenFriedrich-Alexander University Erlangen-Nürnberg (FAU)Verified email at fau.de
Daniel TenbrinckLehrstuhl für Angewandte Mathematik (Modellierung und Numerik), FAU Erlangen-NürnbergVerified email at fau.de
Leon BungertInstitute of Mathematics, Technical University of BerlinVerified email at tu-berlin.de
Matthias ZuerlPhD Student, Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-NürnbergVerified email at fau.de
Falk PulsmeyerVerified email at fau.de
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Imrana Abdullahi YariPhD candidate, Friedrich-Alexander University Erlangen-NürnbergVerified email at fau.de
Arne KüderlePhD Student, Machine Learning and Data Analytics Lab, FAU ErlangenVerified email at fau.de

René Raab

Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg

Verified email at fau.de - Homepage

Machine Learning


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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	21	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	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	10	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	9	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	6	2022
Towards rapid and robust adversarial training with one-step attacks L Schwinn, R Raab, B Eskofier arXiv preprint arXiv:2002.10097, 2020	5	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	4	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		2023
Joshua-PG: A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games R Raab Maastricht University, 2019		2019
A Generative Policy Gradient Approach for Learning to Play Text-Based Adventure Games R Raab, K Driessens		2019

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