Scholar
Robert A. Vandermeulen
Google Scholar ID: eSjfzOUAAAAJ
Independent Researcher
Citations & Impact
Citations
6,835
H-index
16
i10-index
21
Publications
20
Co-authors
43
list available
Publications
Resume (English only)
Academic Achievements
- Papers accepted by top-tier conferences such as Radiology, ICML, NeurIPS, ICLR, TMLR, IJCAI, and received a Google Collabs grant.
Research Experience
- Gave talks at multiple international conferences and seminars, including the National Physics Laboratory UK, University of Chicago Machine Learning Seminar, Weierstrass Institute, etc. Served as a PC (review committee) member for three anomaly detection workshops: [KDD: ANDEA], [KDD: ODD], [IJCAI: AI4AN].
Education
- Completed graduate work at the University of Michigan before moving to Berlin for postgraduate studies.
Background
- A machine learning researcher based in Berlin, with primary research focuses on deep anomaly detection and non-parametric density estimation. His work on one-class deep anomaly detection was developed during his time at TU Kaiserslautern and Humboldt-Universität zu Berlin. In non-parametric density estimation, he studies factorized density estimates, which can act as non-parametric mixture models or as a general tool for improving density estimates.
Miscellany
- Born and raised in the Pacific Northwest (USA), active in academia, participating in multiple research projects and academic exchange activities.
