Lynton Ardizzone

According to our database, Lynton Ardizzone authored at least 22 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Conditional Invertible Generative Models for Supervised Problems.

Lynton Ardizzone

PhD thesis, 2023

Application-driven Validation of Posteriors in Inverse Problems.

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

CoRR, 2023

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

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

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

Towards Multimodal Depth Estimation from Light Fields.

Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Benchmarking Invertible Architectures on Inverse Problems.

Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe

CoRR, 2021

Learning Robust Models Using the Principle of Independent Causal Mechanisms.

Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Generative Classifiers as a Basis for Trustworthy Image Classification.

Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

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

Generative Classifiers as a Basis for Trustworthy Computer Vision.

Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother

CoRR, 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

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification.

Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

Guided Image Generation with Conditional Invertible Neural Networks.

Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe

CoRR, 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

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

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Analyzing Inverse Problems with Invertible Neural Networks.

Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe

Proceedings of the 7th International Conference on Learning Representations, 2019

Training Invertible Neural Networks as Autoencoders.

The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe

Proceedings of the Pattern Recognition, 2019

2018

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