| Understanding the decision boundary of deep neural networks: An empirical study D Mickisch, F Assion, F Greßner, W Günther, M Motta arXiv preprint arXiv:2002.01810, 2020 | 35 | 2020 |
| The attack generator: A systematic approach towards constructing adversarial attacks F Assion, P Schlicht, F Greßner, W Gunther, F Huger, N Schmidt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 21 | 2019 |
| Risk assessment for machine learning models P Schwerdtner, F Greßner, N Kapoor, F Assion, R Sass, W Günther, ... arXiv preprint arXiv:2011.04328, 2020 | 7 | 2020 |
| Causal discovery for time series from multiple datasets with latent contexts W Günther, U Ninad, J Runge Uncertainty in Artificial Intelligence, 766-776, 2023 | 2 | 2023 |
| Clustering of causal graphs to explore drivers of river discharge W Günther, P Miersch, U Ninad, J Runge Environmental Data Science 2, e25, 2023 | | 2023 |
| Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery W Günther, U Ninad, J Wahl, J Runge Advances in Neural Information Processing Systems 35, 16191-16202, 2022 | | 2022 |
| A note on a bilevel problem for parameter learning for inverse problems with the wave equation W Günther, A Kröner Portugaliae Mathematica 78 (3), 367-390, 2022 | | 2022 |
| A NOTE ON A BILEVEL PROBLEM FOR PARAMETER LEARNING FOR OPTIMAL CONTROL PROBLEMS WITH THE WAVE EQUATION W GÜNTHER, A KRÖNER | | |
