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Lynton Ardizzone

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Application-driven Validation of Posteriors in Inverse Problems

Sep 18, 2023
Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Buettner, Ullrich Köthe, Lena Maier-Hein

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Training Invertible Neural Networks as Autoencoders

Mar 21, 2023
The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe

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Towards Multimodal Depth Estimation from Light Fields

Apr 01, 2022
Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother

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Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare

Mar 21, 2022
Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek

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Exoplanet Characterization using Conditional Invertible Neural Networks

Jan 31, 2022
Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Koethe, Lynton Ardizzone, Carsten Rother

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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

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Benchmarking Invertible Architectures on Inverse Problems

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

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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

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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

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