Kenji Fukumizu

Director, Research Center for Statistical Machine Learning
Professor at The Institute of Statistical Mathematics

English / Japanese

News

Workshop on Functional Inference and Machine Intelligence (FIMI 2025) March 1-2, 2025, Okinawa, Japan.
Invited talk at YAML 2024. Slides in Japanese (Download).
Lecture at Machine Learning Summer School 2024 at OIST (Okinawa). Slides (Download).

Research

I am working on thoery and practice of learning from mathematical viewpoints. More specific research projects include the following topics;

Deep Learning: Mathematical methods in deep learning, such as equivariance, geometry, transfer learning, generalization, and so on
Topological Data Analysis (TDA): A new methodoogy of data anlalysis for complex geometrical objects.
Kernel method: Nonparametric data analysis with positive definite kernels and reproducing kernel Hilbert spaces.

Publications

Researchmap publication list. Google Scholar

Bio

Brief biography here.

Contact

Email: fukumizu at ism.ac.jp

The Institute of Statistical Mathematics
10-3 Midori-cho, Tachikawa, Tokyo 190-8562 Japan
Office: Room D606.
Access to ISM