| Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks C Raab, P Vath, P Meier, FM Schleif Proceedings of the Asian Conference on Computer Vision, 2020 | 13 | 2020 |
| PROVAL: A framework for comparison of protein sequence embeddings P Väth, M Münch, C Raab, FM Schleif Journal of Computational Mathematics and Data Science 3, 100044, 2022 | 8 | 2022 |
| Scalable embedding of multiple perspectives for indefinite life-science data analysis M Münch, S Heilig, P Väth, FM Schleif 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2021 | 2 | 2021 |
| Diffusion-based Visual Counterfactual Explanations - Towards Systematic Quantitative Evaluation P Vaeth, AM Fruehwald, B Paassen, M Gregorova ECML PKDD 2023 International Workshop on eXplainable Knowledge Discovery in …, 2023 | 1 | 2023 |
| GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling P Vaeth, AM Fruehwald, B Paassen, M Gregorova arXiv preprint arXiv:2406.17399, 2024 | | 2024 |
| How Important is the Temporal Context to Anticipate Oncoming Vehicles at Night? L Ewecker, T Winkler, P Väth, R Schwager, T Brühl, FM Schleif 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
| Supplementary Material: Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks C Raab, P Väth, P Meier, FM Schleif | | |
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-Schweinfurt在 thws.de 的电子邮件经过验证
