| RenderGAN: Generating realistic labeled data L Sixt, B Wild, T Landgraf Frontiers in Robotics and AI 5, 66, 2018 | 126 | 2018 |
| Restricting the Flow: Information Bottlenecks for Attribution K Schulz, L Sixt, F Tombari, T Landgraf International Conference on Learning Representations, 2020 | 20 | 2020 |
| Automatic localization and decoding of honeybee markers using deep convolutional neural networks B Wild, L Sixt, T Landgraf arXiv preprint arXiv:1802.04557, 2018 | 16 | 2018 |
| RenderGAN: Generating realistic labeled data–with an application on decoding bee tags L Sixt unpublished Bachelor Thesis, Freie Universität, Berlin, 2016 | 8 | 2016 |
| When Explanations Lie: Why Many Modified BP Attributions Fail L Sixt, M Granz, T Landgraf International Conference on Machine Learning, 9046-9057, 2020 | 7* | 2020 |
| The emojicite package Adds Emojis to Citations L Sixt | | |
Tim LandgrafDept. of Mathematics and Computer Science, Free University BerlinVerified email at fu-berlin.de
