Publications

Preprints

2022

Theophil Trippe, Martin Genzel, Jan Macdonald, Maximilian März

Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images

2019

Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok

A Rate-Distortion Framework for Explaining Neural Network Decisions

Journal Articles

2023

Martin Genzel, Jan Macdonald, Maximilian März

Solving Inverse Problems With Deep Neural Networks - Robustness Included?

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

Luis Oala, Cosmas Heiß, Jan Macdonald, Maximilian März, Gitta Kutyniok, Wojciech Samek

Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty

International Journal of Computer Assisted Radiology and Surgery

Stephan Wäldchen, Jan Macdonald, Sascha Hauch, Gitta Kutyniok

The Computational Complexity of Understanding Binary Classifier Decisions

Journal of Artificial Intelligence Research

2018

Jan Macdonald, Lars Ruthotto

Improved Susceptibility Artifact Correction of Echo-Planar MRI using the Alternating Direction Method of Multipliers

Journal of Mathematical Imaging and Vision

Conference Papers

2022

Jan Macdonald, Mathieu Besançon, Sebastian Pokutta

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings

Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März

Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning

Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

Jan Macdonald, Stephan Wäldchen

A Complete Characterisation of ReLU-Invariant Distributions

Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)

2021

Jan Macdonald, Maximilian März, Luis Oala, Wojciech Samek

Interval Neural Networks as Instability Detectors for Image Reconstructions

Bildverarbeitung für die Medizin 2021 (BVM 2021)

Workshop Contributions

2021

Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März

Near-Exact Recovery for Sparse-View CT via Data-Driven Methods

Deep Learning and Inverse Problems Workshop, 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

2020

Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok

Explaining Neural Network Decisions Is Hard

XXAI Workshop: Extending Explainable AI Beyond Deep Models and Classifiers, 37th International Conference on Machine Learning (ICML 2020)

Unpublished Manuscripts

2019

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

The Oracle of DLphi