Research output per year
Research output per year
Personal profile
Keywords
- Algorithms
- Algorithm engineering
- Algorithmic privacy
- Fairness
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Dive into the research topics where Martin Aumüller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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
Open AccessFile -
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
Open Access -
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
Open AccessFile -
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
Open AccessFile -
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
Open Access
Press/Media
Datasets
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Reproducibility dataset for the paper "ANN-Benchmarks: A benchmarking tool for approximate nearest neighbor search"
Aumüller, M. (Creator), ZENODO, 16 Mar 2021
DOI: 10.5281/zenodo.5613101, https://zenodo.org/record/5613101
Dataset: Software
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ANN Benchmarks - hfichtenberger/ann-benchmarks:
Bernhardsson, E. (Creator), Aumüller, M. (Contributor), Faithfull, A. (Contributor), Boytsov, L. (Contributor), Razenshteyn, I. (Contributor), Algorithms, A. A. (Creator), McInnes, L. (Contributor), Malkov, Y. (Creator), Erramuzpe, A. (Contributor), Frederickson, B. (Contributor), Fichtenberger, H. (Contributor) & Rohde, D. (Creator), ZENODO, 16 Oct 2018
DOI: 10.5281/zenodo.1463824, https://zenodo.org/record/1463824 and one more link, https://github.com/hfichtenberger/ann-benchmarks/tree/nips (show fewer)
Dataset: Software
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BARC: Basic Algorithms Research Copenhagen
Pagh, R. (PI), Husfeldt, T. (CoI), Björklund, A. (CoI), Lebeda, C. J. (CoI), Nielsen, N. M. S. (CoI), Bercea, I. O. (CoI), Karppa, M. (CoI), Curticapean, R.-C. (CoI), Limaye, N. (CoI), Aumüller, M. (CoI), Sivertsen, J. V. T. (CoI), McCauley, S. (CoI) & Dell, H. (CoI)
01/09/2017 → 31/08/2024
Project: Research
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DIREC: Digital Research Centre Denmark
Godskesen, J. C. (PI), Barkhuus, L. (PI), Bonnet, P. (PI), Brabrand, C. (PI), Schürmann, C. (PI), Sekara, V. (PI), David, B. M. (PI), Husfeldt, T. (PI), Curticapean, R.-C. (PI), Limaye, N. (PI), Aumüller, M. (PI), Jacob, R. (PI), Risi, S. (PI), Wasowski, A. (PI), Birch Okkels, C. (CoI), Berthelsen, K. H. (CoI), Larsen, M. K. (CoI), Schmidt, M. D. (CoI) & Ghaffari, M. (CoI)
01/10/2020 → 30/09/2025
Project: Research
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DIREC: Bias and Benefit of Approximate Nearest Neighbor Search
Aumüller, M. (PI) & Barkhuus, L. (CoI)
01/08/2022 → 01/10/2025
Project: Research
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SSS: Scalable Similarity Search
Pagh, R. (PI), Christiani, T. L. (CoI), Pham, N. D. (CoI), Faithfull, A. (CoI), Silvestri, F. (CoI), Mikkelsen, J. W. (CoI), Sivertsen, J. V. T. (CoI), Aumüller, M. (CoI), Skala, M. (CoI), Ceccarello, M. (CoI), Themsen, R. (CoI), Jacob, R. (CoI), McCauley, S. (CoI) & Ahle, T. D. (CoI)
01/05/2014 → 30/04/2019
Project: Research