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Lynton Ardizzone
Lynton Ardizzone
Bestätigte E-Mail-Adresse bei iwr.uni-heidelberg.de - Startseite
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Zitiert von
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Analyzing inverse problems with invertible neural networks
L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ...
arXiv preprint arXiv:1808.04730, 2018
5572018
Guided image generation with conditional invertible neural networks
L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe
arXiv preprint arXiv:1907.02392, 2019
2912019
BayesFlow: Learning complex stochastic models with invertible neural networks
ST Radev, UK Mertens, A Voss, L Ardizzone, U Köthe
IEEE transactions on neural networks and learning systems 33 (4), 1452-1466, 2020
1722020
Invertible networks or partons to detector and back again
M Bellagente, A Butter, G Kasieczka, T Plehn, A Rousselot, ...
SciPost Physics 9 (5), 074, 2020
982020
Training normalizing flows with the information bottleneck for competitive generative classification
L Ardizzone, R Mackowiak, C Rother, U Köthe
Advances in Neural Information Processing Systems 33, 7828-7840, 2020
642020
Benchmarking invertible architectures on inverse problems
J Kruse, L Ardizzone, C Rother, U Köthe
arXiv preprint arXiv:2101.10763, 2021
572021
Generative classifiers as a basis for trustworthy image classification
R Mackowiak, L Ardizzone, U Kothe, C Rother
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
452021
Conditional invertible neural networks for diverse image-to-image translation
L Ardizzone, J Kruse, C Lüth, N Bracher, C Rother, U Köthe
Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021
392021
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
TJ Adler, L Ardizzone, A Vemuri, L Ayala, J Gröhl, T Kirchner, S Wirkert, ...
International journal of computer assisted radiology and surgery 14, 997-1007, 2019
352019
Stellar parameter determination from photometry using invertible neural networks
VF Ksoll, L Ardizzone, R Klessen, U Koethe, E Sabbi, M Robberto, ...
Monthly Notices of the Royal Astronomical Society 499 (4), 5447-5485, 2020
242020
Learning robust models using the principle of independent causal mechanisms
J Müller, R Schmier, L Ardizzone, C Rother, U Köthe
DAGM German Conference on Pattern Recognition, 79-110, 2021
222021
Framework for easily invertible architectures (FrEIA)
L Ardizzone, T Bungert, F Draxler, U Köthe, J Kruse, R Schmier, ...
Source code, 2018
202018
Review of Disentanglement Approaches for Medical Applications--Towards Solving the Gordian Knot of Generative Models in Healthcare
J Fragemann, L Ardizzone, J Egger, J Kleesiek
arXiv preprint arXiv:2203.11132, 2022
192022
Guided image generation with conditional invertible neural networks (2019)
L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe
arXiv preprint arXiv:1907.02392, 2018
142018
Exoplanet characterization using conditional invertible neural networks
J Haldemann, V Ksoll, D Walter, Y Alibert, RS Klessen, W Benz, U Koethe, ...
Astronomy & Astrophysics 672, A180, 2023
132023
Emission-line diagnostics of H ii regions using conditional invertible neural networks
DE Kang, EW Pellegrini, L Ardizzone, RS Klessen, U Koethe, SCO Glover, ...
Monthly Notices of the Royal Astronomical Society 512 (1), 617-647, 2022
132022
Analyzing inverse problems with invertible neural networks (2018)
L Ardizzone, J Kruse, S Wirkert, D Rahner, EW Pellegrini, RS Klessen, ...
arXiv preprint arXiv:1808.04730, 1808
121808
Model updating of wind turbine blade cross sections with invertible neural networks
P Noever‐Castelos, L Ardizzone, C Balzani
Wind Energy 25 (3), 573-599, 2022
112022
Towards multimodal depth estimation from light fields
T Leistner, R Mackowiak, L Ardizzone, U Köthe, C Rother
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
112022
Hint: Hierarchical invertible neural transport for general and sequential bayesian inference
G Detommaso, J Kruse, L Ardizzone, C Rother, U Köthe, R Scheichl
stat 1050, 25, 2019
102019
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