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Jakob Kruse
Jakob Kruse
Visual Learning Lab, Heidelberg University (HCI/IWR)
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
3372018
Guided image generation with conditional invertible neural networks
L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe
arXiv preprint arXiv:1907.02392, 2019
1662019
Learning to push the limits of efficient fft-based image deconvolution
J Kruse, C Rother, U Schmidt
Proceedings of the IEEE International Conference on Computer Vision, 4586-4594, 2017
762017
Benchmarking invertible architectures on inverse problems
J Kruse, L Ardizzone, C Rother, U Köthe
arXiv preprint arXiv:2101.10763, 2021
282021
HINT: Hierarchical invertible neural transport for density estimation and Bayesian inference
J Kruse, G Detommaso, U Köthe, R Scheichl
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8191-8199, 2021
25*2021
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, 1-11, 2019
222019
Conditional invertible neural networks for diverse image-to-image translation
L Ardizzone, J Kruse, C Lüth, N Bracher, C Rother, U Köthe
DAGM German Conference on Pattern Recognition, 373-387, 2020
102020
Technical report: Training mixture density networks with full covariance matrices
J Kruse
arXiv preprint arXiv:2003.05739, 2020
22020
Conditional normalizing flow for predicting the occurrence of rare extreme events on long time scales
J Kruse, B Ellerhoff, U Köthe, K Rehfeld
EGU22, 2022
2022
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Articles 1–9