Lynton Ardizzone

31 papers A* 3Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Application-driven validation of posteriors in inverse problems. Medical Image Anal. 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
2023	J	`jnl`	Application-driven Validation of Posteriors in Inverse Problems. CoRR 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
2023	—	`—`	Conditional Invertible Generative Models for Supervised Problems. Lynton Ardizzone
2023	J	`jnl`	Training Invertible Neural Networks as Autoencoders. CoRR The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe
2022	J	`jnl`	BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe
2022	J	`jnl`	Exoplanet Characterization using Conditional Invertible Neural Networks. CoRR Jonas Haldemann, Victor Ksoll, Daniel Walter, Yann Alibert, Ralf S. Klessen, Willy Benz, Ullrich Köthe, Lynton Ardizzone, Carsten Rother
2022	J	`jnl`	Review of Disentanglement Approaches for Medical Applications - Towards Solving the Gordian Knot of Generative Models in Healthcare. CoRR Jana Fragemann, Lynton Ardizzone, Jan Egger, Jens Kleesiek
2022	A*	`conf`	Towards Multimodal Depth Estimation from Light Fields. CVPR Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
2022	J	`jnl`	Towards Multimodal Depth Estimation from Light Fields. CoRR Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
2021	J	`jnl`	Benchmarking Invertible Architectures on Inverse Problems. CoRR Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
2021	J	`jnl`	Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
2021	A*	`conf`	Generative Classifiers as a Basis for Trustworthy Image Classification. CVPR Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
2021	—	`conf`	Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. Bildverarbeitung für die Medizin Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2021	—	`conf`	Learning Robust Models Using the Principle of Independent Causal Mechanisms. GCPR Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
2020	J	`jnl`	BayesFlow: Learning complex stochastic models with invertible neural networks. CoRR Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe
2020	—	`conf`	Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
2020	J	`jnl`	Exact Information Bottleneck with Invertible Neural Networks: Getting the Best of Discriminative and Generative Modeling. CoRR Lynton Ardizzone, Radek Mackowiak, Ullrich Köthe, Carsten Rother
2020	J	`jnl`	Generative Classifiers as a Basis for Trustworthy Computer Vision. CoRR Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother
2020	J	`jnl`	Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging. CoRR Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2020	J	`jnl`	Learning Robust Models Using The Principle of Independent Causal Mechanisms. CoRR Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe
2020	J	`jnl`	Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks. CoRR Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein
2020	A*	`conf`	Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification. NeurIPS Lynton Ardizzone, Radek Mackowiak, Carsten Rother, Ullrich Köthe
2019	—	`conf`	Analyzing Inverse Problems with Invertible Neural Networks. ICLR (Poster) Lynton Ardizzone, Jakob Kruse, Carsten Rother, Ullrich Köthe
2019	J	`jnl`	Guided Image Generation with Conditional Invertible Neural Networks. CoRR Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe
2019	J	`jnl`	HINT: Hierarchical Invertible Neural Transport for General and Sequential Bayesian inference. CoRR Gianluca Detommaso, Jakob Kruse, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Robert Scheichl
2019	—	`conf`	Out of Distribution Detection for Intra-operative Functional Imaging. UNSURE/CLIP@MICCAI Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2019	J	`jnl`	Out of distribution detection for intra-operative functional imaging. CoRR Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein
2019	—	`conf`	Training Invertible Neural Networks as Autoencoders. GCPR The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe
2019	J	`jnl`	Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. Int. J. Comput. Assist. Radiol. Surg. 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
2019	J	`jnl`	Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks. CoRR 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
2018	J	`jnl`	Analyzing Inverse Problems with Invertible Neural Networks. CoRR Lynton Ardizzone, Jakob Kruse, Sebastian J. Wirkert, Daniel Rahner, Eric W. Pellegrini, Ralf S. Klessen, Lena Maier-Hein, Carsten Rother, Ullrich Köthe