| Secretary and online matching problems with machine learned advice A Antoniadis, T Gouleakis, P Kleer, P Kolev Advances in Neural Information Processing Systems 33, 7933-7944, 2020 | 113 | 2020 |
| A PTAS for ℓp-Low Rank Approximation F Ban, V Bhattiprolu, K Bringmann, P Kolev, E Lee, DP Woodruff Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 54 | 2019 |
| A note on spectral clustering P Kolev, K Mehlhorn arXiv preprint arXiv:1509.09188, 2015 | 25 | 2015 |
| Benchmarking offline reinforcement learning on real-robot hardware N Gürtler, S Blaes, P Kolev, F Widmaier, M Wüthrich, S Bauer, ... arXiv preprint arXiv:2307.15690, 2023 | 24 | 2023 |
| Versatile skill control via self-supervised adversarial imitation of unlabeled mixed motions C Li, S Blaes, P Kolev, M Vlastelica, J Frey, G Martius 2023 IEEE international conference on robotics and automation (ICRA), 2944-2950, 2023 | 19 | 2023 |
| Approximation Algorithms for -Low Rank Approximation K Bringmann, P Kolev, D Woodruff Advances in neural information processing systems 30, 2017 | 19 | 2017 |
| Density Independent Algorithms for Sparsifying -Step Random Walks G Jindal, P Kolev, R Peng, S Sawlani arXiv preprint arXiv:1702.06110, 2017 | 18 | 2017 |
| Two results on slime mold computations R Becker, V Bonifaci, A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 773, 79-106, 2019 | 14 | 2019 |
| Physarum-inspired multi-commodity flow dynamics V Bonifaci, E Facca, F Folz, A Karrenbauer, P Kolev, K Mehlhorn, G Morigi, ... Theoretical Computer Science 920, 1-20, 2022 | 10 | 2022 |
| Convergence of the non-uniform Physarum dynamics A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 816, 260-269, 2020 | 10 | 2020 |
| An efficient parallel algorithm for spectral sparsification of laplacian and sddm matrix polynomials G Jindal, P Kolev arXiv preprint arXiv:1507.07497, 2015 | 10* | 2015 |
| Convergence of the non-uniform directed Physarum model E Facca, A Karrenbauer, P Kolev, K Mehlhorn Theoretical Computer Science 816, 184-194, 2020 | 6 | 2020 |
| Secretary and online matching problems with machine learned advice A Antoniadis, T Gouleakis, P Kleer, P Kolev Discrete Optimization 48, 100778, 2023 | 4 | 2023 |
| Physarum multi-commodity flow dynamics V Bonifaci, E Facca, F Folz, A Karrenbauer, P Kolev, K Mehlhorn, G Morigi, ... arXiv preprint arXiv:2009.01498, 2020 | 4 | 2020 |
| Approximate Spectral Clustering: Efficiency and Guarantees P Kolev, K Mehlhorn arXiv preprint arXiv:1509.09188, 2015 | 4 | 2015 |
| Learning diverse skills for local navigation under multi-constraint optimality J Cheng, M Vlastelica, P Kolev, C Li, G Martius arXiv preprint arXiv:2310.02440, 2023 | 3 | 2023 |
| Real robot challenge 2022: Learning dexterous manipulation from offline data in the real world N Gürtler, F Widmaier, C Sancaktar, S Blaes, P Kolev, S Bauer, ... NeurIPS 2022 Competition Track, 133-150, 2023 | 3 | 2023 |
| Dirichlet eigenvalues, local random walks, and analyzing clusters in graphs P Kolev, H Sun International Symposium on Algorithms and Computation, 621-632, 2014 | 2 | 2014 |
| On imitation in mean-field games G Ramponi, P Kolev, O Pietquin, N He, M Laurière, M Geist Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Online learning under adversarial nonlinear constraints P Kolev, G Martius, M Muehlebach Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Kurt MehlhornProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
