Jan Macdonald
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Solving Inverse Problems with Deep Neural Networks - Robustness Included?
M Genzel, J Macdonald, M Marz
IEEE Transactions on Pattern Analysis and Machine Intelligence, 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
A Rate-Distortion Framework for Explaining Neural Network Decisions
J Macdonald, S Wäldchen, S Hauch, G Kutyniok
arXiv preprint arXiv:1905.11092, 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
Interval Neural Networks: Uncertainty Scores
L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok
arXiv preprint arXiv:2003.11566, 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
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
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
Explaining Neural Network Decisions Is Hard
J Macdonald, S Wäldchen, S Hauch, G Kutyniok
XXAI Workshop, 37th ICML, 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
Efficient numerical optimization for susceptibility artifact correction of EPI-MRI
J Macdonald, L Ruthotto
arXiv preprint arXiv:1607.00531, 2016
A Complete Characterisation of ReLU-Invariant Distributions
J Macdonald, S Wäldchen
International Conference on Artificial Intelligence and Statistics, 1457-1484, 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
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
The Reliability of Deep Learning for Signal and Image Processing: Interpretability, Robustness, and Accuracy
J Macdonald
Technische Universität Berlin, 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
The Oracle of DLphi
D Alfke, W Baines, J Blechschmidt, MJ Sarmina, A Drory, D Elbrächter, ...
arXiv preprint arXiv:1901.05744, 2019
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