René Raab
René Raab
Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
Verified email at fau.de - Homepage
Title
Cited by
Cited by
Year
Identifying untrustworthy predictions in neural networks by geometric gradient analysis
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
arXiv preprint arXiv:2102.12196, 2021
32021
CLIP: Cheap Lipschitz Training of Neural Networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
arXiv preprint arXiv:2103.12531, 2021
22021
Towards rapid and robust adversarial training with one-step attacks
L Schwinn, R Raab, B Eskofier
arXiv preprint arXiv:2002.10097, 2020
22020
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
12021
Exploring Robust Misclassifications of Neural Networks to Enhance Adversarial Attacks
L Schwinn, R Raab, A Nguyen, D Zanca, B Eskofier
arXiv preprint arXiv:2105.10304, 2021
12021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
L Schwinn, R Raab, A Nguyen, D Zanca, B Eskofier
arXiv preprint arXiv:2105.10304, 2021
2021
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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Articles 1–8