| Dissecting supervised contrastive learning F Graf, C Hofer, M Niethammer, R Kwitt International Conference on Machine Learning, 3821-3830, 2021 | 166 | 2021 |
| Graph filtration learning C Hofer, F Graf, B Rieck, M Niethammer, R Kwitt International Conference on Machine Learning, 4314-4323, 2020 | 125 | 2020 |
| Topological attention for time series forecasting S Zeng, F Graf, C Hofer, R Kwitt Advances in neural information processing systems 34, 24871-24882, 2021 | 44 | 2021 |
| Topologically densified distributions C Hofer, F Graf, M Niethammer, R Kwitt International Conference on Machine Learning, 4304-4313, 2020 | 26 | 2020 |
| On measuring excess capacity in neural networks F Graf, S Zeng, B Rieck, M Niethammer, R Kwitt Advances in Neural Information Processing Systems 35, 10164-10178, 2022 | 13 | 2022 |
| Latent sdes on homogeneous spaces S Zeng, F Graf, R Kwitt Advances in Neural Information Processing Systems 36, 76151-76180, 2023 | 6 | 2023 |
| Dissecting Supervised Contrastive Learning R Kwitt, F Graf, C Hofer, M Niethammer Proceedings of Machine Learning Research: Proceedings of the 38th …, 2021 | 1 | 2021 |
| Neural Persistence Dynamics S Zeng, F Graf, M Uray, S Huber, R Kwitt arXiv preprint arXiv:2405.15732, 2024 | | 2024 |
| Topological Attention for Time Series Forecasting R Kwitt, F Graf, S Zeng, C Hofer Advances in Neural Information Processing Systems 34 (NeurIPS), 2021 | | 2021 |
| Dissecting aneurysm of the ascending aorta in aortic insufficiency, pericardial effusion and infarction N Goebel, F Graf, M Turina VASA. Zeitschrift fur Gefasskrankheiten 12 (4), 390-394, 1983 | | 1983 |
