| Framework for Easily Invertible Architectures (FrEIA), 2018-2022 L Ardizzone, T Bungert, F Draxler, U Köthe, J Kruse, R Schmier, ... URL https://github. com/vislearn/FrEIA, 0 | 26* | |
| 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 | 20 | 2021 |
| Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R Schmier, U Koethe, CN Straehle Transactions on Machine Learning Research, 2023 | 3* | 2023 |
| Finding Competence Regions in Domain Generalization J Müller, ST Radev, R Schmier, F Draxler, C Rother, U Köthe Transactions of Machine Learning Research, 2023 | 1 | 2023 |
| Device and method for detecting anomalies in technical systems CN Straehle, R Schmier US Patent App. 18/297,732, 2023 | | 2023 |
| Anomaly monitoring for technical systems based on the compatibility of image data with a predefined distribution R Schmier, CN Straehle, D Zhang, U Koethe US Patent App. 17/823,988, 2023 | | 2023 |
Ullrich KötheAdjunct Professor of Computer Science, University of HeidelbergVerified email at iwr.uni-heidelberg.de
