| 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 | 125 | 2018 |
| Guided image generation with conditional invertible neural networks L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe arXiv preprint arXiv:1907.02392, 2019 | 43 | 2019 |
| 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 | 15 | 2020 |
| 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 | 12 | 2019 |
| Benchmarking invertible architectures on inverse problems J Kruse, L Ardizzone, C Rother, U Köthe arXiv preprint arXiv:2101.10763, 2021 | 8 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2019 |
| 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 | 2 | 2020 |
| Generative Classifiers as a Basis for Trustworthy Computer Vision R Mackowiak, L Ardizzone, U Köthe, C Rother arXiv preprint arXiv:2007.15036, 2020 | 2 | 2020 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| Training Invertible Neural Networks as Autoencoders L Ardizzone, U Köthe German Conference on Pattern Recognition, 442-455, 2019 | 1 | 2019 |
| 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 | 1 | 2019 |
| 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 |
