Floris Holstege
Scholar

Floris Holstege

Google Scholar ID: XPNAT4MAAAAJ
University of Amsterdam
Interpretable Machine LearningOut-of-distribution generalisation
Citations & Impact
All-time
Citations
23
 
H-index
2
 
i10-index
2
 
Publications
6
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published an article titled 'Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation' in Proceedings of Machine Learning Research.
Research Experience
  • Involved in research on removing spurious concepts from neural network representations.
Background
  • Research interests include quantitative economics. Affiliated with the Section of Quantitative Economics at the Faculty of Economics and Business, University of Amsterdam.
Miscellany
  • Engaged in algorithm auditing, providing services for an NGO that advises organizations on ethical algorithms.
Co-authors
0 total
Co-authors: 0 (list not available)