Lynton Ardizzone

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 29

Top Topics

Image Generation

Information Bottleneck

Avoid Overfitting

Top Venues

UNSURE/CLIP@MICCAI

Publications

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
Application-driven Validation of Posteriors in Inverse Problems. CoRR (2023)
The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe
Training Invertible Neural Networks as Autoencoders. CoRR (2023)
Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Towards Multimodal Depth Estimation from Light Fields. CVPR (2022)
Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek
Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR (2022)
Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother
Exoplanet Characterization using Conditional Invertible Neural Networks. CoRR (2022)
Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Towards Multimodal Depth Estimation from Light Fields. CoRR (2022)
Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Learning Robust Models Using the Principle of Independent Causal Mechanisms. GCPR (2021)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR (2021)
Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Generative Classifiers as a Basis for Trustworthy Image Classification. CVPR (2021)
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. Bildverarbeitung für die Medizin (2021)
Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Benchmarking Invertible Architectures on Inverse Problems. CoRR (2021)
Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. CoRR (2020)
Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
Generative Classifiers as a Basis for Trustworthy Computer Vision. CoRR (2020)
Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe
BayesFlow: Learning complex stochastic models with invertible neural networks. CoRR (2020)
Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother
Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. CoRR (2020)
Lynton Ardizzone, Jakob Kruse, Carsten Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR (2020)
Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
Learning Robust Models Using The Principle of Independent Causal Mechanisms. CoRR (2020)
Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR (2020)
Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. NeurIPS (2020)
The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe
Training Invertible Neural Networks as Autoencoders. GCPR (2019)
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI (2019)
Lynton Ardizzone, Carsten Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
Guided Image Generation with Conditional Invertible Neural Networks. CoRR (2019)
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
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. 14 (6) (2019)
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
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR (2019)
Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl
HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR (2019)
Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) (2019)
Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
Out of distribution detection for intra-operative functional imaging. CoRR (2019)
Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe
Analyzing Inverse Problems with Invertible Neural Networks. CoRR (2018)