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
Towards Rapid and Robust Adversarial Training with One-Step Attacks
L Schwinn, R Raab, B Eskofier
arXiv e-prints, arXiv: 2002.10097, 2020
22020
CLIP: Cheap Lipschitz Training of Neural Networks
L Bungert, R Raab, T Roith, L Schwinn, D Tenbrinck
arXiv preprint arXiv:2103.12531, 2021
2021
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
2021
Sampled Nonlocal Gradients for Stronger Adversarial Attacks
L Schwinn, D Tenbrinck, A Nguyen, R Raab, M Burger, B Eskofier
arXiv preprint arXiv:2011.02707, 2020
2020
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
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
L Schwinn, A Nguyen, R Raab, D Zanca, BM Eskofier, D Tenbrinck, ...
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