Analyzing Inverse Problems with Invertible Neural Networks. - Lynton Ardizzone; Jakob Kruse; Sebastian J. Wirkert; Daniel Rahner; Eric W. Pellegrini; Ralf S. Klessen; Lena Maier-Hein; Carsten Rother; Ullrich Köthe (CoRR, 2018)

Training Invertible Neural Networks as Autoencoders. - The-Gia Leo Nguyen; Lynton Ardizzone; Ullrich Köthe (GCPR, 2019)

Analyzing Inverse Problems with Invertible Neural Networks. - Lynton Ardizzone; Jakob Kruse; Carsten Rother; Ullrich Köthe (ICLR (Poster), 2019)

Out of Distribution Detection for Intra-operative Functional Imaging. - Tim J. Adler; Leonardo Ayala; Lynton Ardizzone; Hannes Kenngott; Anant Suraj Vemuri; Beat P. Müller-Stich; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (UNSURE/CLIP@MICCAI, 2019)

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. - Tim J. Adler; Lynton Ardizzone; Anant Suraj Vemuri; Leonardo Ayala; Janek Gröhl; Thomas Kirchner; Sebastian J. Wirkert; Jakob Kruse; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (Int. J. Comput. Assist. Radiol. Surg., 2019)

HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. - Gianluca Detommaso; Jakob Kruse; Lynton Ardizzone; Carsten Rother; Ullrich Köthe; Robert Scheichl (CoRR, 2019)

Guided Image Generation with Conditional Invertible Neural Networks. - Lynton Ardizzone; Carsten T. Lüth; Jakob Kruse; Carsten Rother; Ullrich Köthe (CoRR, 2019)

Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. - Lynton Ardizzone; Jakob Kruse; Carsten T. Lüth; Niels Bracher; Carsten Rother; Ullrich Köthe (GCPR, 2020)

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. - Lynton Ardizzone; Radek Mackowiak; Carsten Rother; Ullrich Köthe (NeurIPS, 2020)

Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. - Lynton Ardizzone; Radek Mackowiak; Ullrich Köthe; Carsten Rother (CoRR, 2020)

Generative Classifiers as a Basis for Trustworthy Computer Vision. - Radek Mackowiak; Lynton Ardizzone; Ullrich Köthe; Carsten Rother (CoRR, 2020)

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. - Darya Trofimova; Tim Adler; Lisa Kausch; Lynton Ardizzone; Klaus H. Maier-Hein; Ullrich Köthe; Carsten Rother; Lena Maier-Hein (CoRR, 2020)

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. - Jan-Hinrich Nölke; Tim Adler; Janek Gröhl; Thomas Kirchner; Lynton Ardizzone; Carsten Rother; Ullrich Köthe; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2021)

Generative Classifiers as a Basis for Trustworthy Image Classification. - Radek Mackowiak; Lynton Ardizzone; Ullrich Köthe; Carsten Rother (CVPR, 2021)

Learning Robust Models Using the Principle of Independent Causal Mechanisms. - Jens Müller 009; Robert Schmier; Lynton Ardizzone; Carsten Rother; Ullrich Köthe (GCPR, 2021)

Benchmarking Invertible Architectures on Inverse Problems. - Jakob Kruse; Lynton Ardizzone; Carsten Rother; Ullrich Köthe (CoRR, 2021)

Towards Multimodal Depth Estimation from Light Fields. - Titus Leistner; Radek Mackowiak; Lynton Ardizzone; Ullrich Köthe; Carsten Rother (CVPR, 2022)

Exoplanet Characterization using Conditional Invertible Neural Networks. - Jonas Haldemann; Victor Ksoll; Daniel Walter; Yann Alibert; Ralf S. Klessen; Willy Benz; Ullrich Köthe; Lynton Ardizzone; Carsten Rother (CoRR, 2022)

Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. - Jana Fragemann; Lynton Ardizzone; Jan Egger; Jens Kleesiek (CoRR, 2022)

BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. - Stefan T. Radev; Ulf K. Mertens; Andreas Voss; Lynton Ardizzone; Ullrich Köthe (IEEE Trans. Neural Networks Learn. Syst., 2022)

Conditional Invertible Generative Models for Supervised Problems. - Lynton Ardizzone (2023)

Application-driven validation of posteriors in inverse problems. - Tim J. Adler; Jan-Hinrich Nölke; Annika Reinke; Minu Dietlinde Tizabi; Sebastian Gruber 001; Dasha Trofimova; Lynton Ardizzone; Paul F. Jaeger; Florian Buettner 001; Ullrich Köthe; Lena Maier-Hein (Medical Image Anal., 2025)