| ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms M Aumüller, E Bernhardsson, A Faithfull International Conference on Similarity Search and Applications, 34-49, 2017 | 52 | 2017 |
| Optimal partitioning for dual-pivot quicksort M Aumüller, M Dietzfelbinger ACM Transactions on Algorithms (TALG) 12 (2), 1-36, 2015 | 39 | 2015 |
| Explicit and efficient hash families suffice for cuckoo hashing with a stash M Aumüller, M Dietzfelbinger, P Woelfel Algorithmica 70 (3), 428-456, 2014 | 28 | 2014 |
| Parameter-free locality sensitive hashing for spherical range reporting TD Ahle, M Aumüller, R Pagh Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 24 | 2017 |
| How good is multi-pivot quicksort? M Aumüller, M Dietzfelbinger, P Klaue ACM Transactions on Algorithms (TALG) 13 (1), 1-47, 2016 | 15 | 2016 |
| Distance-sensitive hashing M Aumüller, T Christiani, R Pagh, F Silvestri Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018 | 10 | 2018 |
| Experimental variations of a theoretically good retrieval data structure M Aumüller, M Dietzfelbinger, M Rink European Symposium on Algorithms, 742-751, 2009 | 9 | 2009 |
| Dual-Pivot Quicksort: Optimality, Analysis and Zeros of Associated Lattice Paths M Aumüller, M Dietzfelbinger, C Heuberger, D Krenn, H Prodinger Combinatorics, Probability and Computing 28 (4), 485-518, 2019 | 6* | 2019 |
| An alternative analysis of cuckoo hashing with a stash and realistic hash functions M Aumüller Technische Universität Ilmenau, 2010 | 4 | 2010 |
| PUFFINN: parameterless and universally fast finding of nearest neighbors M Aumüller, T Christiani, R Pagh, M Vesterli arXiv preprint arXiv:1906.12211, 2019 | 2 | 2019 |
| On the Analysis of Two Fundamental Randomized Algorithms-Multi-Pivot Quicksort and Efficient Hash Functions M Aumüller | 2 | 2015 |
| Fair Near Neighbor Search: Independent Range Sampling in High Dimensions M Aumüller, R Pagh, F Silvestri arXiv preprint arXiv:1906.01859, 2019 | 1 | 2019 |
| Benchmarking nearest neighbor search: influence of local intrinsic dimensionality and result diversity in real-world datasets M Aumüller, M Ceccarello 1st Workshop on Evaluation and Experimental Design in Data Mining and …, 2019 | 1 | 2019 |
| Theory and Applications of Hashing (Dagstuhl Seminar 17181) M Dietzfelbinger, M Mitzenmacher, R Pagh, DP Woodruff, M Aumüller Dagstuhl Reports 7 (5), 2017 | 1 | 2017 |
| A Simple hash class with strong randomness properties in graphs and hypergraphs M Aumüller, M Dietzfelbinger, P Woelfel arXiv preprint arXiv:1611.00029, 2016 | 1 | 2016 |
| On the Analysis of Two Fundamental Randomized Algorithms M Aumüller Doktorarbeit (Ph. D, 2015 | 1 | 2015 |
| The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search M Aumüller, M Ceccarello International Conference on Similarity Search and Applications, 113-127, 2019 | | 2019 |
| Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme M Aumüller, N Hass 2019 Proceedings of the Twenty-First Workshop on Algorithm Engineering and …, 2019 | | 2019 |
| Dagstuhl Reports, Vol. 7, Issue 5 ISSN 2192-5283 M Dietzfelbinger, M Mitzenmacher, R Pagh, DP Woodruff, M Aumüller, ... | | 2018 |
| Vergleich verschiedener Virtualisierungstechnologien im Fog-Computing MSM Aumüller | | |
Martin DietzfelbingerProfessor of Computer Science, Technische Universität IlmenauVerified email at tu-ilmenau.de
