| Training Fully Connected Neural Networks is -Complete D Bertschinger, C Hertrich, P Jungeblut, T Miltzow, S Weber Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Topological Art in Simple Galleries∗ D Bertschinger, N El Maalouly, T Miltzow, P Schnider, S Weber Symposium on Simplicity in Algorithms (SOSA), 87-116, 2022 | 8 | 2022 |
| Well-Separation and Hyperplane Transversals in High Dimensions H Bergold, D Bertschinger, N Grelier, W Mulzer, P Schnider arXiv preprint arXiv:2209.02319, 2022 | 3 | 2022 |
| Tukey depth histograms D Bertschinger, J Passweg, P Schnider International Workshop on Combinatorial Algorithms, 186-198, 2022 | 2 | 2022 |
| An Optimal Decentralized -Coloring Algorithm D Bertschinger, J Lengler, A Martinsson, R Meier, A Steger, M Trujić, ... arXiv preprint arXiv:2002.05121, 2020 | 2 | 2020 |
| Lions and contamination: Monotone clearings D Bertschinger, MM Reddy, E Mann Computational Geometry 110, 101961, 2023 | 1 | 2023 |
| The Complexity of Recognizing Geometric Hypergraphs D Bertschinger, N El Maalouly, L Kleist, T Miltzow, S Weber International Symposium on Graph Drawing and Network Visualization, 163-179, 2023 | | 2023 |
| Training Fully Connected Neural Networks is existsR-Complete D Bertschinger, C Hertrich, P Jungeblut, T Miltzow, S Weber arXiv, 2022 | | 2022 |
| Weighted epsilon-nets D Bertschinger, P Schnider arXiv preprint arXiv:2002.08693, 2020 | | 2020 |
