Recent & Upcoming Talks

2022

Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Long Oral & Poster: Presentation of results from our paper.
Jul 21, 2022 4:00 PM — 4:20 PM Baltimore Convention Center, Baltimore, USA
Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März
Code Video
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Spotlight & Poster: Presentation of results from our paper.
Jul 20, 2022 10:30 AM — 10:35 AM Baltimore Convention Center, Baltimore, USA
Jan Macdonald, Mathieu Besançon, Sebastian Pokutta
Code Video
Solving Inverse Problems With Deep Neural Networks - Robustness Included?
Invited Talk: Presentation of results from our paper.
May 26, 2022 9:50 AM — 7:30 PM Paradise Bay Resort, Mellieha, Malta
Martin Genzel, Jan Macdonald, Maximilian März
Code
A Complete Characterisation of ReLU-Invariant Distributions
Contributed Talk & Poster: Presentation of results from our paper.
Mar 30, 2022 10:45 AM — 2:00 PM Virtual Conference
Jan Macdonald, Stephan Wäldchen

2021

Learning to Invert Defocus Blur: A Data-Driven Approach to the Helsinki Deblur Challenge
Invited Talk: Presentation of our 1st place winning submission to the Helsinki Deblur Challenge.
Dec 15, 2021 9:50 AM — 10:50 AM Tampere University (Hybrid Virtual Conference)
Theophil Trippe, Martin Genzel, Jan Macdonald, Maximilian März
Code
Near-Exact Recovery for Sparse-View CT via Data-Driven Methods
Poster: Presentation of a detailed analysis of our 1st place winning AAPM DL-Sparse-View CT challenge submission.
Dec 13, 2021 12:45 PM — 2:00 PM Virtual Conference
Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März
Code
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
Invited Talk: Presentation of our 1st place winning AAPM DL-Sparse-View CT challenge submission.
Jul 28, 2021 4:30 PM — 5:30 PM Virtual Conference
Martin Genzel, Jan Macdonald, Maximilian März
Code
Interval Neural Networks as Instability Detectors for Image Reconstructions
Contributed Talk: Presentation of results from our paper.
Mar 9, 2021 1:45 PM — 2:00 PM Virtual Workshop
Jan Macdonald, Luis Oala, Maximilian März, Wojciech Samek
Code Video

2019

A Rate-Distortion Framework for Explaining Neural Network Decisions
Poster: Presentation of results from our paper.
Oct 24, 2019 Zuse Institut Berlin
Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Neural Network Decisions
Poster: Presentation of results from our paper.
Sep 9, 2019 Fraunhofer Heinrich-Hertz-Institut
Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Deep Neural Network Decisions
Invited Talk: Presentation of results from our paper.
Jul 17, 2019 5:30 PM — 6:00 PM Universitat de València
Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Neural Network Decisions
Poster: Presentation of results from our paper.
Jul 3, 2019 École nationale supérieure d'électrotechnique, d'électronique, d'informatique, d'hydraulique et des télécommunications (ENSEEIHT)
Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok
A Rate-Distortion Framework for Explaining Deep Neural Network Decisions
Contributed Talk: Presentation of results from our paper.
Apr 2, 2019 12:00 PM — 12:25 PM TUM Science and Study Center Raitenhaslach
Jan Macdonald, Stephan Wäldchen, Sascha Hauch, Gitta Kutyniok