| Solving Inverse Problems with Deep Neural Networks - Robustness Included? M Genzel, J Macdonald, M Marz IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 144 | 2022 |
| The Computational Complexity of Understanding Binary Classifier Decisions S Wäldchen, J Macdonald, S Hauch, G Kutyniok Journal of Artificial Intelligence Research 70, 351–387-351–387, 2021 | 80 | 2021 |
| A Rate-Distortion Framework for Explaining Neural Network Decisions J Macdonald, S Wäldchen, S Hauch, G Kutyniok arXiv preprint arXiv:1905.11092, 2019 | 48 | 2019 |
| Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning M Genzel, I Gühring, J Macdonald, M März International Conference on Machine Learning, 7368-7381, 2022 | 35 | 2022 |
| Interval Neural Networks: Uncertainty Scores L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok arXiv preprint arXiv:2003.11566, 2020 | 31 | 2020 |
| Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings J Macdonald, M Besançon, S Pokutta International Conference on Machine Learning, 14699-14716, 2022 | 16 | 2022 |
| Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers J Macdonald, L Ruthotto Journal of Mathematical Imaging and Vision 60 (2), 268-282, 2018 | 11 | 2018 |
| Detecting failure modes in image reconstructions with interval neural network uncertainty L Oala, C Heiß, J Macdonald, M März, G Kutyniok, W Samek International Journal of Computer Assisted Radiology and Surgery 16 (12 …, 2021 | 10 | 2021 |
| Explaining Neural Network Decisions Is Hard J Macdonald, S Wäldchen, S Hauch, G Kutyniok XXAI Workshop, 37th ICML, 2020 | 8 | 2020 |
| AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry M Genzel, J Macdonald, M März arXiv preprint arXiv:2106.00280, 2021 | 6 | 2021 |
| A Complete Characterisation of ReLU-Invariant Distributions J Macdonald, S Wäldchen International Conference on Artificial Intelligence and Statistics, 1457-1484, 2022 | 3 | 2022 |
| Interval Neural Networks as Instability Detectors for Image Reconstructions J Macdonald, M März, L Oala, W Samek Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021 | 3 | 2021 |
| Efficient numerical optimization for susceptibility artifact correction of EPI-MRI J Macdonald, L Ruthotto arXiv preprint arXiv:1607.00531, 2016 | 3 | 2016 |
| Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images T Trippe, M Genzel, J Macdonald, M März arXiv preprint arXiv:2211.10103, 2022 | 1 | 2022 |
| Near-Exact Recovery for Sparse-View CT via Data-Driven Methods M Genzel, I Gühring, J Macdonald, M März NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 1 | 2021 |
| The Reliability of Deep Learning for Signal and Image Processing: Interpretability, Robustness, and Accuracy J Macdonald Technische Universität Berlin, 2022 | | 2022 |
| The Oracle of DLphi D Alfke, W Baines, J Blechschmidt, MJ Sarmina, A Drory, D Elbrächter, ... arXiv preprint arXiv:1901.05744, 2019 | | 2019 |
Maximilian MärzTechnische Universität BerlinVerifisert e-postadresse på math.tu-berlin.de