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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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Technical report: Training Mixture Density Networks with full covariance matrices


Mar 04, 2020
Jakob Kruse


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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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