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Conditional Invertible Neural Networks for Diverse Image-to-Image Translation


May 05, 2021
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe

* arXiv admin note: text overlap with arXiv:1907.02392 

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Benchmarking Invertible Architectures on Inverse Problems


Jan 26, 2021
Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe

* Workshop on Invertible Neural Networks and Normalizing Flows (ICML 2019) 

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Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks


Dec 15, 2020
Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus Maier-Hein, Ulrich Köthe, Carsten Rother, Lena Maier-Hein

* The paper got accepted at Medical Imaging Meets NeurIPS Workshop at Neural Information Processing Systems 2020 

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Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging


Nov 10, 2020
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

* 7 pages, 4 figures, submitted to "Bildverarbeitung f\"ur die Medizin (BVM) 2021" 

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Learning Robust Models Using The Principle of Independent Causal Mechanisms


Oct 14, 2020
Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe


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Generative Classifiers as a Basis for Trustworthy Computer Vision


Jul 29, 2020
Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother


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BayesFlow: Learning complex stochastic models with invertible neural networks


Apr 17, 2020
Stefan T. Radev, Ulf K. Mertens, Andreass Voss, Lynton Ardizzone, Ullrich Köthe


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Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling


Jan 20, 2020
Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother


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Out of distribution detection for intra-operative functional imaging


Nov 05, 2019
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes G. Kenngott, Anant Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

* Proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019 
* The final authenticated version is available online at https://doi.org/10.1007/978-3-030-32689-0_8 

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Guided Image Generation with Conditional Invertible Neural Networks


Jul 10, 2019
Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe


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HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference


May 25, 2019
Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl


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Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks


Mar 08, 2019
Tim J. Adler, Lynton Ardizzone, Anant Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

* Accepted at IPCAI 2019 

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Analyzing Inverse Problems with Invertible Neural Networks


Sep 10, 2018
Lynton Ardizzone, Jakob Kruse, Sebastian Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe


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