Fast axiomatic attribution for neural networks R Hesse, S Schaub-Meyer, S Roth Advances in Neural Information Processing Systems 34, 19513-19524, 2021 | 14 | 2021 |
Efficient Verification of Program Fragments: Eager POR P Metzler, H Saissi, P Bokor, R Hesse, N Suri International Symposium on Automated Technology for Verification and …, 2016 | 4 | 2016 |
Content-Adaptive Downsampling in Convolutional Neural Networks R Hesse, S Schaub-Meyer, S Roth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods R Hesse, S Schaub-Meyer, S Roth arXiv preprint arXiv:2308.06248, 2023 | | 2023 |
Homography Estimation in the Realm of Deep Learning R Hesse Technical University of Darmstadt, 2020 | | 2020 |
Development and Evaluation of 3D Autoencoders for Feature Extraction R Hesse Technical University of Darmstadt, 2017 | | 2017 |