Research output per year
Research output per year
- 29 results
Search results
-
2023
Overview of the SISAP 2023 Indexing Challenge
Aumüller, M., Chavez, E. & Tellez, E. S., 2023, Similarity Search and Applications, SISAP 2023.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Recent Approaches and Trends in Approximate Nearest Neighbor Search
Aumüller, M. & Ceccarello, M., 2023, In: {IEEE} Data Engineering Bulletin.Research output: Journal Article or Conference Article in Journal › Journal article › Research
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Solving k-Closest Pairs in High-Dimensional Data
Aumüller, M. & Ceccarello, M., 2023, Similarity Search and Applications, SISAP 2023.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Suitability of Nearest Neighbour Indexes for Multimedia Relevance Feedback
Aumüller, M., Khan, O. S. & Jónsson, B. T., 2023, Similarity Search and Applications SISAP 2023.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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2022
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Aumüller, M., Karppa, M. & Pagh, R., 2022, AISTATS 2022: International Conference on Artificial Intelligence and Statistics. Vol. 151. p. 3108-3137Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Implementing Distributed Approximate Similarity Joins using Locality Sensitive Hashing
Aumüller, M. & Ceccarello, M., 2022, EDBT: International Conference on Extending Database Technology. 13 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access
Aumüller, M., Lebeda, C. J. & Pagh, R., 2022, In: Journal of Privacy and Confidentiality. 12, 2Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Results of the NeurIPS’21 Challenge on Billion-Scale Approximate Nearest Neighbor Search
Aumüller, M., Simhadri, H., Williams, G., Douze, M., Babenko, A., Baranchuk, D., Hosseini, L., Krishnaswamny, R., Srinivasa, G., Subramanya, S. J. & Wang, J., 2022, Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track. Vol. 176. p. 177-189Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Sampling a Near Neighbor in High Dimensions — Who is the Fairest of Them All?
Aumüller, M., Pagh, R., Silvestri, F., Har-Peled, S. & Mahabadi, S., 2022, In: ACM Transactions on Database Systems. 47, 1, p. 1-40 40 p., 4.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Sampling near neighbors in search for fairness
Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, R. & Silvestri, F., 2022, In: Communications of the A C M. 65, 8, p. 83-90Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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2021
Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access
Aumüller, M., Pagh, R. & Lebeda, C. J., 2021, Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, 14 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Fair near neighbor search via sampling
Aumüller, M., Har-Peled, S., Mahabadi, S., Pagh, R. & Silvestri, F., 2021, In: S I G M O D Record. 50, 01Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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The role of local dimensionality measures in benchmarking nearest neighbor search
Aumüller, M. & Ceccarello, M., 2021, In: Information Systems.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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2020
Algorithm Engineering for High-Dimensional Similarity Search Problems (Invited Talk)
Aumüller, M., 2020, 18th International Symposium on Experimental Algorithms (SEA 2020). Schloss Dagstuhl--Leibniz-Zentrum für Informatik, p. 1:1–1:3 1. (Leibniz International Proceedings in Informatics (LIPIcs)).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Differentially Private Sketches for Jaccard Similarity Estimation
Aumüller, M., Bourgeat & Schmurr, 2020, International Conference on Similarity Search and Applications: SISAP 2020. Springer, p. 18-32 (Lecture Notest in Computer Science, Vol. 12440).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Fair Near Neighbor Search: Independent Range Sampling in High Dimensions. PODS
Aumüller, M., Pagh, R. & Silvestri, F., 2020, PODS'20: Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. Association for Computing Machinery, p. 191–204Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN
Truong, Q.-T., Lauw, H. W., Aumüller, M. & Nitta, N., 2020, MM '20: Proceedings of the 28th ACM International Conference on Multimedia. Association for Computing Machinery, p. 4444-4447Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Running Experiments with Confidence and Sanity
Aumüller, M. & Ceccarello, M., 2020, International Conference on Similarity Search and Applications. Springer, p. 18-32Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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2019
ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor algorithms
Aumüller, M., Bernhardsson, E. & Faithfull, A., 2019, In: Information Systems.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Benchmarking Nearest Neighbor Search: Influence of Local Intrinsic Dimensionality and Result Diversity in Real-World Datasets
Aumüller, M. & Ceccarello, M., 2019, EDML 2019 - Evaluation and Experimental Design in Data Mining and Machine Learning. CEUR Workshop Proceedings, Vol. 2436. (CEUR Workshop Proceedings, Vol. 2436).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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PUFFINN: Parameterless and Universally Fast FInding of Nearest Neighbors
Christiani, T. L., Pagh, R., Aumüller, M. & Vesterli, M. E., 2019, 27th Annual European Symposium on Algorithms (ESA 2019). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, p. 1-16 16 p. 10Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Simple and Fast BlockQuicksort using Lomuto's Partitioning Scheme
Aumüller, M. & Hass, N., 2019, 2019 Proceedings of the Twenty-First Workshop on Algorithm Engineering and Experiments (ALENEX). Society for Industrial and Applied Mathematics, 14 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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The Role of Local Intrinsic Dimensionality in Benchmarking Nearest Neighbor Search
Aumüller, M. & Ceccarello, M., 17 Jul 2019, International Conference on Similarity Search and Applications: SISAP 2019: Similarity Search and Applications . Springer, (Lecture Notes in Computer Science, Vol. 11807).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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2018
Distance-Sensitive Hashing
Aumüller, M., Christiani, T. L., Pagh, R. & Silvestri, F., 2018, Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database System. New York, NY, USA: Association for Computing Machinery, p. 89-104 15 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Dual-Pivot Quicksort: Optimality, Analysis and Zeros of Associated Lattice Paths
Aumüller, M., Dietzfelbinger, M., Heuberger, C., Krenn, D. & Prodinger, H., 14 Aug 2018, In: Combinatorics, Probability & Computing. 34 p.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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2017
ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms
Aumüller, M., Bernhardsson, E. & Faithfull, A., 2017, International Conference on Similarity Search and Applications: SISAP 2017: Similarity Search and Applications. Springer, p. 34-49 (Lecture Notes in Computer Science, Vol. 10609).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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Parameter-free Locality Sensitive Hashing for Spherical Range Reporting
Ahle, T. D., Pagh, R. & Aumüller, M., 2017, Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, 18 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
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2016
Counting Zeros in Random Walks on the Integers and Analysis of Optimal Dual-Pivot Quicksort
Aumüller, M., Dietzfelbinger, M., Heuberger, C., Krenn, D. & Prodinger, H., 4 Jul 2016, Proceedings of the 27th Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms. Jagiellonian University in Krakow, 13 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
Open Access -
How Good Is Multi-Pivot Quicksort?
Aumüller, M., Dietzfelbinger, M. & Klaue, P., 1 Nov 2016, In: ACM Transactions on Algorithms. 13, 1, 8.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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