Lynton Ardizzone
Lynton Ardizzone
Verified email at iwr.uni-heidelberg.de - Homepage
Title
Cited by
Cited by
Year
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
1252018
Guided image generation with conditional invertible neural networks
L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe
arXiv preprint arXiv:1907.02392, 2019
432019
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, 2020
152020
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 (6), 997 …, 2019
122019
Benchmarking invertible architectures on inverse problems
J Kruse, L Ardizzone, C Rother, U Köthe
arXiv preprint arXiv:2101.10763, 2021
82021
Invertible networks or partons to detector and back again
M Bellagente, A Butter, G Kasieczka, T Plehn, A Rousselot, ...
arXiv preprint arXiv:2006.06685, 2020
62020
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
52019
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
22020
Generative Classifiers as a Basis for Trustworthy Computer Vision
R Mackowiak, L Ardizzone, U Köthe, C Rother
arXiv preprint arXiv:2007.15036, 2020
22020
Training normalizing flows with the information bottleneck for competitive generative classification
L Ardizzone, R Mackowiak, C Rother, U Köthe
arXiv preprint arXiv:2001.06448, 2020
2*2020
Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging
JH Nölke, T Adler, J Gröhl, L Ardizzone, C Rother, U Köthe, L Maier-Hein
arXiv preprint arXiv:2011.05110, 2020
12020
Out of distribution detection for intra-operative functional imaging
TJ Adler, L Ayala, L Ardizzone, HG Kenngott, A Vemuri, BP Müller-Stich, ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
12019
Training Invertible Neural Networks as Autoencoders
L Ardizzone, U Köthe
German Conference on Pattern Recognition, 442-455, 2019
12019
Uncertainty handling in intra-operative multispectral imaging with invertible neural networks
TJ Adler, L Ardizzone, L Ayala, J Gröhl, A Vemuri, SJ Wirkert, ...
International Conference on Medical Imaging with Deep Learning--Extended …, 2019
12019
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks
D Trofimova, T Adler, L Kausch, L Ardizzone, K Maier-Hein, U Köthe, ...
arXiv preprint arXiv:2012.08195, 2020
2020
Learning Robust Models Using The Principle of Independent Causal Mechanisms
J Müller, R Schmier, L Ardizzone, C Rother, U Köthe
arXiv preprint arXiv:2010.07167, 2020
2020
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Articles 1–16