Scholar
Kenji Fukumizu
Google Scholar ID: Dav2k7cAAAAJ
The Institute of Statistical Mathematics
Citations & Impact
Citations
9,682
H-index
37
i10-index
91
Publications
20
Co-authors
26
list available
Contact
Publications
Resume (English only)
Background
- Working on the theory and practice of machine learning from mathematical viewpoints
- Research areas include deep learning, topological data analysis (TDA), and kernel methods
- Deep learning research covers mathematical approaches such as equivariance, geometry, transfer learning, and generalization
- Topological data analysis for analyzing complex geometrical objects
- Kernel methods based on positive definite kernels and reproducing kernel Hilbert spaces for nonparametric data analysis
