Martin Aumüller
Martin Aumüller
Assistant Professor, IT University of Copenhagen
Verified email at itu.dk - Homepage
Title
Cited by
Cited by
Year
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
572017
Optimal partitioning for dual-pivot quicksort
M Aumüller, M Dietzfelbinger
ACM Transactions on Algorithms (TALG) 12 (2), 1-36, 2015
392015
Explicit and efficient hash families suffice for cuckoo hashing with a stash
M Aumüller, M Dietzfelbinger, P Woelfel
Algorithmica 70 (3), 428-456, 2014
282014
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
252017
How good is multi-pivot quicksort?
M Aumüller, M Dietzfelbinger, P Klaue
ACM Transactions on Algorithms (TALG) 13 (1), 1-47, 2016
152016
Distance-sensitive hashing
M Aumüller, T Christiani, R Pagh, F Silvestri
Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018
122018
Experimental variations of a theoretically good retrieval data structure
M Aumüller, M Dietzfelbinger, M Rink
European Symposium on Algorithms, 742-751, 2009
92009
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
PUFFINN: parameterless and universally fast finding of nearest neighbors
M Aumüller, T Christiani, R Pagh, M Vesterli
arXiv preprint arXiv:1906.12211, 2019
42019
An alternative analysis of cuckoo hashing with a stash and realistic hash functions
M Aumüller
Technische Universität Ilmenau, 2010
42010
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions
M Aumüller, R Pagh, F Silvestri
arXiv preprint arXiv:1906.01859, 2019
22019
On the Analysis of Two Fundamental Randomized Algorithms-Multi-Pivot Quicksort and Efficient Hash Functions
M Aumüller
22015
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
12019
Theory and Applications of Hashing (Dagstuhl Seminar 17181)
M Dietzfelbinger, M Mitzenmacher, R Pagh, DP Woodruff, M Aumüller
Dagstuhl Reports 7 (5), 2017
12017
A Simple hash class with strong randomness properties in graphs and hypergraphs
M Aumüller, M Dietzfelbinger, P Woelfel
arXiv preprint arXiv:1611.00029, 2016
12016
On the Analysis of Two Fundamental Randomized Algorithms
M Aumüller
Doktorarbeit (Ph. D, 2015
12015
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
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