| Interval neural networks: Uncertainty scores L Oala, C Heiß, J Macdonald, M März, W Samek, G Kutyniok arXiv preprint arXiv:2003.11566, 2020 | 21 | 2020 |
| On assignment problems related to Gromov–Wasserstein distances on the real line R Beinert, C Heiss, G Steidl SIAM Journal on Imaging Sciences 16 (2), 1028-1032, 2023 | 14 | 2023 |
| In-distribution interpretability for challenging modalities C Heiß, R Levie, C Resnick, G Kutyniok, J Bruna arXiv preprint arXiv:2007.00758, 2020 | 10 | 2020 |
| Lagrangian motion magnification with double sparse optical flow decomposition P Flotho, C Heiss, G Steidl, DJ Strauss Frontiers in Applied Mathematics and Statistics 9, 1164491, 2023 | 7 | 2023 |
| Detecting failure modes in image reconstructions with interval neural network uncertainty L Oala, C Heiß, J Macdonald, M März, G Kutyniok, W Samek International Journal of Computer Assisted Radiology and Surgery 16, 2089-2097, 2021 | 7 | 2021 |
| A neural multilevel method for high-dimensional parametric pdes C Heiß, I Gühring, M Eigel The Symbiosis of Deep Learning and Differential Equations, 2021 | 6 | 2021 |
| Lagrangian motion magnification with landmark-prior and sparse pca for facial microexpressions and micromovements P Flotho, C Heiß, G Steidl, DJ Strauss 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
| Multilevel CNNs for Parametric PDEs C Heiß, I Gühring, M Eigel Journal of Machine Learning Research 24 (373), 1-42, 2023 | 3 | 2023 |
| Self-Supervised Equivariant Scene Synthesis from Video C Resnick, O Litany, C Heiß, H Larochelle, J Bruna, K Cho arXiv preprint arXiv:2102.00863, 2021 | | 2021 |
