| Efficient embedding of scale-free graphs in the hyperbolic plane T Bläsius, T Friedrich, A Krohmer, S Laue IEEE/ACM Transactions on Networking, 2018 | 88 | 2018 |
| A Hybrid Algorithm for Convex Semidefinite Optimization S Laue ICML 2012, 177--184, 2012 | 66 | 2012 |
| Computing Higher Order Derivatives of Matrix and Tensor Expressions. S Laue, M Mitterreiter, J Giesen NeurIPS, 2755-2764, 2018 | 57 | 2018 |
| Approximating parameterized convex optimization problems J Giesen, M Jaggi, S Laue ACM Transactions on Algorithms (TALG) 9 (1), 1-17, 2012 | 52 | 2012 |
| A simple and efficient tensor calculus S Laue, M Mitterreiter, J Giesen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4527-4534, 2020 | 46 | 2020 |
| Generating massive complex networks with hyperbolic geometry faster in practice M von Looz, MS Özdayi, S Laue, H Meyerhenke High Performance Extreme Computing Conference (HPEC), 2016 IEEE, 1-6, 2016 | 30 | 2016 |
| A linear algorithm for integer programming in the plane F Eisenbrand, S Laue Mathematical Programming 102, 249-259, 2005 | 27 | 2005 |
| Approximating Concavely Parameterized Optimization Problems J Giesen, S Laue, JK Mueller, S Swiercy NIPS 2012, 2114-2122, 2012 | 26 | 2012 |
| GENO--GENeric Optimization for Classical Machine Learning S Laue, M Mitterreiter, J Giesen Advances in Neural Information Processing Systems, 2190-2201, 2019 | 25 | 2019 |
| Geometric Set Cover and Hitting Sets for Polytopes in S Laue STACS 2008, 479-490, 2008 | 25 | 2008 |
| Distributed Convex Optimization with Many Convex Constraints J Giesen, S Laue arXiv preprint arXiv:1610.02967, 2016 | 24 | 2016 |
| Machine Learning, Linear Algebra, and More: Is SQL All You Need? M Blacher, J Giesen, S Laue, J Klaus, V Leis 11th Conference on Innovative Data Systems Research, CIDR, 9-12, 2022 | 23 | 2022 |
| A comparison of models of word meaning in context G Dinu, S Thater, S Laue Proceedings of the 2012 Conference of the North American Chapter of the …, 2012 | 23 | 2012 |
| Bounded-hop energy-efficient broadcast in low-dimensional metrics via coresets S Funke, S Laue STACS 2007, 272-283, 2007 | 22 | 2007 |
| Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints. J Giesen, S Laue IJCAI, 4525-4531, 2019 | 19 | 2019 |
| Personal routes with high-dimensional costs and dynamic approximation guarantees S Funke, S Laue, S Storandt 16th International Symposium on Experimental Algorithms (SEA 2017), 2017 | 19 | 2017 |
| Deducing individual driving preferences for user-aware navigation S Funke, S Laue, S Storandt Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 18 | 2016 |
| Regularization Paths with Guarantees for Convex Semidefinite Optimization. J Giesen, M Jaggi, S Laue AISTATS, 432-439, 2012 | 18 | 2012 |
| On the equivalence of forward mode automatic differentiation and symbolic differentiation S Laue arXiv preprint arXiv:1904.02990, 2019 | 16 | 2019 |
| Dynamic pseudo-time warping of complex single-cell trajectories MB Van Hoan Do, P Monteagudo, L Borozan, K Elbassioni, S Laue, ... Research in Computational Molecular Biology: 23rd Annual International …, 2019 | 15 | 2019 |
