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
2 items
Poisoning Attacks on the PGM-index
2026
Cited
0
Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions
2026
Cited
0
Resume
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
14 total
Rasmus Pagh
Professor of computer science, University of Copenhagen
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
Harsha Vardhan Simhadri
Microsoft Research
Ravishankar Krishnaswamy
Microsoft Research