Scholar
Martin Aumüller
Google Scholar ID: TNJYIYoAAAAJ
IT University of Copenhagen
Algorithms
Algorithm Engineering
Similarity Search
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Citations & Impact
All-time
Citations
1,060
H-index
15
i10-index
18
Publications
20
Co-authors
40
list available
Contact
Email
maau@itu.dk
CV
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GitHub
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Publications
1 items
Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions
2026
Cited
0
Resume (English only)
Academic Achievements
- Papers published: ann-benchmarks, big-ann-benchmarks, puffinn, danny
- Organized challenges: SISAP Indexing Challenge (2025, 2024), NeurIPS Practical Vector Search challenge (2023), SISAP Indexing Challenge (2023), NeurIPS Billion-Scale ANN Challenge (2021)
- Invited talks: Algorithm Engineering for High-Dimensional Similarity Search at SEA’20
- Tutorials: Neural Search in Action at CVPR’23
- Program committee member: SEA 2018, ESA 2018 (Track B), MMM 2019, EDML 2019, MM 2019 Reproducibility, SISAP 2019, SISAP 2020 (co-chair), ICMR 2021/2022/2023 Reproducibility (co-chair), LATIN 2022, SISAP 2024, CIKM 2024, ESA 2025 (Track S), ICML’25 VecDB Workshop (co-chair)
Research Experience
- Projects: Benefit and Bias of Approximate Nearest Neighbor search (2022-2025, PI)
- Projects: MMX-VR: Multimedia Metadata Exploration in Virtual Reality (2023-2026, co-PI)
- PhD students: Camilla Birch Okkels, Fabrizio Boninsegna (co-supervised with Francesco Silvestri)
- Finished PhD students: Christian Janos Lebeda (co-supervised with Rasmus Pagh, now postdoc at INRIA, France)
- Teaching experience: Taught multiple courses at IT University of Copenhagen, including Algorithmic Problem Solving, Applied Algorithms, etc.
Education
- PhD: 2015, Technische Universität Ilmenau, supervised by Martin Dietzfelbinger
Background
- Research interests: Design, analysis, and implementation of randomized algorithms, particularly for similarity search and differential privacy
- Position: Associate Professor in the Algorithms Group at IT University of Copenhagen, Head of MSc in Software Design
Miscellany
- Code available on GitHub
- Ancient but potentially useful algorithm visualizations: Auction Matching, Cuckoo Hashing
Co-authors
40 total
Rasmus Pagh
Professor of computer science, University of Copenhagen
Co-author 2
Francesco Silvestri
Associate professor, University of Padova
Matteo Ceccarello
University of Padova
Matthijs Douze
AI at Meta
Dmitry Baranchuk
Yandex Research
Sariel Har-Peled
Professor of Computer Science, UIUC
Co-author 8
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