| Similarity of neural network models: A survey of functional and representational measures M Klabunde, T Schumacher, M Strohmaier, F Lemmerich arXiv preprint arXiv:2305.06329, 2023 | 53 | 2023 |
| A comparative evaluation of quantification methods T Schumacher, M Strohmaier, F Lemmerich arXiv preprint arXiv:2103.03223, 2021 | 38 | 2021 |
| The effects of randomness on the stability of node embeddings T Schumacher, H Wolf, M Ritzert, F Lemmerich, M Grohe, M Strohmaier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 26 | 2021 |
| Privacy attacks on network embeddings M Ellers, M Cochez, T Schumacher, M Strohmaier, F Lemmerich arXiv preprint arXiv:1912.10979, 2019 | 23 | 2019 |
| Resi: A comprehensive benchmark for representational similarity measures M Klabunde, T Wald, T Schumacher, K Maier-Hein, M Strohmaier, ... arXiv preprint arXiv:2408.00531, 2024 | 6 | 2024 |
| Properties of group fairness measures for rankings T Schumacher, M Lutz, S Sikdar, M Strohmaier ACM Transactions on Social Computing 8 (1-2), 1-45, 2025 | 5* | 2025 |