Jan MacDonald

22 papers A* 2A 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML Dataset.
CoRR
Joana Reuss, Jan MacDonald, Simon Becker, Konrad Schultka, Lorenz Richter, Marco Körner
2024 J jnl
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification.
CoRR
Joana Reuss, Jan MacDonald, Simon Becker, Lorenz Richter, Marco Körner
2023 J jnl
Solving Inverse Problems With Deep Neural Networks - Robustness Included?
IEEE Trans. Pattern Anal. Mach. Intell.
Martin Genzel, Jan MacDonald, Maximilian März
2022 A conf
A Complete Characterisation of ReLU-Invariant Distributions.
AISTATS
Jan MacDonald, Stephan Wäldchen
2022 A* conf
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings.
ICML
Jan MacDonald, Mathieu Besançon, Sebastian Pokutta
2022 J jnl
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images.
CoRR
Theophil Trippe, Martin Genzel, Jan MacDonald, Maximilian März
2022 A* conf
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning.
ICML
Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März
2022 J jnl
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning.
CoRR
Martin Genzel, Ingo Gühring, Jan MacDonald, Maximilian März
2022 — —
The reliability of deep learning for signal and image processing: Interpretability, robustness, and accuracy.
Jan MacDonald
2021 J jnl
A Complete Characterisation of ReLU-Invariant Distributions.
CoRR
Jan MacDonald, Stephan Wäldchen
2021 J jnl
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry.
CoRR
Martin Genzel, Jan MacDonald, Maximilian März
2021 J jnl
Detecting failure modes in image reconstructions with interval neural network uncertainty.
Int. J. Comput. Assist. Radiol. Surg.
Luis Oala, Cosmas Heiß, Jan MacDonald, Maximilian März, Gitta Kutyniok, Wojciech Samek
2021 J jnl
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings.
CoRR
Jan MacDonald, Mathieu Besançon, Sebastian Pokutta
2021 — conf
Interval Neural Networks as Instability Detectors for Image Reconstructions.
Bildverarbeitung für die Medizin
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
2021 J jnl
The Computational Complexity of Understanding Binary Classifier Decisions.
J. Artif. Intell. Res.
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
2020 J jnl
Interval Neural Networks as Instability Detectors for Image Reconstructions.
CoRR
Jan MacDonald, Maximilian März, Luis Oala, Wojciech Samek
2020 J jnl
Interval Neural Networks: Uncertainty Scores.
CoRR
Luis Oala, Cosmas Heiss, Jan MacDonald, Maximilian März, Wojciech Samek, Gitta Kutyniok
2020 J jnl
Solving Inverse Problems With Deep Neural Networks - Robustness Included?
CoRR
Martin Genzel, Jan MacDonald, Maximilian März
2019 J jnl
A Rate-Distortion Framework for Explaining Neural Network Decisions.
CoRR
Jan MacDonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
2019 J jnl
The Computational Complexity of Understanding Network Decisions.
CoRR
Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok
2019 J jnl
The Oracle of DLphi.
CoRR
Dominik Alfke, Weston Baines, Jan Blechschmidt, Mauricio J. del Razo Sarmina, Amnon Drory, Dennis Elbrächter, Nando Farchmin, Matteo Gambara, Silke Glas, Philipp Grohs, Peter Hinz, Danijel Kivaranovic, Christian Kümmerle, Gitta Kutyniok, Sebastian Lunz, Jan MacDonald, Ryan Malthaner, Gregory Naisat, Ariel Neufeld, Philipp Christian Petersen, Rafael Reisenhofer, Jun-Da Sheng, Laura Thesing, Philipp Trunschke, Johannes von Lindheim, David Weber, Melanie Weber
2018 J jnl
Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers.
J. Math. Imaging Vis.
Jan MacDonald, Lars Ruthotto