Scholar
Sjoerd Dirksen
Google Scholar ID: LWLtbHIAAAAJ
Professor for Mathematics of Data Science, Mathematical Institute, Utrecht University
Citations & Impact
Citations
1,064
H-index
17
i10-index
24
Publications
20
Co-authors
25
list available
Contact
Publications
Resume (English only)
Research Experience
- Current research focuses on randomized data dimension reduction methods using structured random matrices and random hyperplane tessellations; properties of initialization (random neural nets), robustness, and memorization capacity in deep learning; high-dimensional covariance estimation motivated by wireless communication with massive MIMO antenna systems; phase retrieval in low-dose settings; statistical postprocessing of weather forecasts in collaboration with KNMI.
Background
- His research interests lie in high-dimensional probability theory and its applications in the mathematics of data science, machine learning, and signal processing; randomized data dimension reduction methods; theory for deep learning; high-dimensional covariance estimation; phase retrieval; statistical postprocessing of weather forecasts using a combination of statistics and machine learning.
