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Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery


Feb 07, 2022
Jonathan Sauder, Martin Genzel, Peter Jung


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Solving Inverse Problems with Conditional-GAN Prior via Fast Network-Projected Gradient Descent


Sep 02, 2021
Muhammad Fadli Damara, Gregor Kornhardt, Peter Jung

* 13 pages, 8 figures 

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A Survey of Uncertainty in Deep Neural Networks


Jul 07, 2021
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu


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Proof methods for robust low-rank matrix recovery


Jun 08, 2021
Tim Fuchs, David Gross, Peter Jung, Felix Krahmer, Richard Kueng, Dominik Stöger

* 39 pages, 6 figures 

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Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing


Jun 07, 2021
Udaya S. K. P. Miriya Thanthrige, Peter Jung, Aydin Sezgin


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Photothermal-SR-Net: A Customized Deep Unfolding Neural Network for Photothermal Super Resolution Imaging


Apr 21, 2021
Samim Ahmadi, Linh Kästner, Jan Christian Hauffen, Peter Jung, Mathias Ziegler

* 10 pages, 6 figures 

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Learned Block Iterative Shrinkage Thresholding Algorithm for Photothermal Super Resolution Imaging


Dec 10, 2020
Samim Ahmadi, Jan Christian Hauffen, Linh Kästner, Peter Jung, Giuseppe Caire, Mathias Ziegler

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. 11 pages, 10 figures 

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Plug-And-Play Learned Gaussian-mixture Approximate Message Passing


Nov 18, 2020
Osman Musa, Peter Jung, Giuseppe Caire


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Classification of Spot-welded Joints in Laser Thermography Data using Convolutional Neural Networks


Oct 24, 2020
Linh Kästner, Samim Ahmadi, Florian Jonietz, Mathias Ziegler, Peter Jung, Giuseppe Caire, Jens Lambrecht

* 9 pages,11 figures 

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Neurally Augmented ALISTA


Oct 05, 2020
Freya Behrens, Jonathan Sauder, Peter Jung

* 10pages, 9 figures 

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