| Explainable deep one-class classification P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller arXiv preprint arXiv:2007.01760, 2020 | 281 | 2020 |
| Rethinking assumptions in deep anomaly detection L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft arXiv preprint arXiv:2006.00339, 2020 | 107 | 2020 |
| Exposing outlier exposure: What can be learned from few, one, and zero outlier images P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft arXiv preprint arXiv:2205.11474, 2022 | 45 | 2022 |
| Weisfeiler-Leman at the margin: When more expressivity matters BJ Franks, C Morris, A Velingker, F Geerts arXiv preprint arXiv:2402.07568, 2024 | 9 | 2024 |
| Deep anomaly detection on Tennessee Eastman process data F Hartung, BJ Franks, T Michels, D Wagner, P Liznerski, S Reithermann, ... Chemie Ingenieur Technik 95 (7), 1077-1082, 2023 | 9 | 2023 |
| A systematic approach to universal random features in graph neural networks BJ Franks, M Anders, M Kloft, P Schweitzer Transactions on Machine Learning Research, 2023 | 5 | 2023 |
| Ordinal regression for difficulty prediction of StepMania levels BJ Franks, B Dinkelmann, M Kloft, S Fellenz Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2* | 2023 |
| Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings BJ Franks, M Eliasof, S Cantürk, G Wolf, CB Schönlieb, S Fellenz, M Kloft arXiv preprint arXiv:2412.07407, 2024 | | 2024 |
Marius KloftProfessor, RPTU Kaiserslautern-LandauVerified email at cs.uni-kl.de