Sumio Watanabe Homepage

Welcome to Sumio Watanabe Homepage.

Here I would like to explain mathematics which is connected to statistical learning theory. You will find a fantastic road,

Algebraic Geometry

---> Gelfand Zeta Function

---> Schwartz Distribution

---> Empirical Process

---> Statistical Learning Theory,

which shall take you clear understanding deep learning process and further exploration.

I'm very happy that so many people are interested in and cooperating with singular learning theory. Please enjoy many researchers' new wonderful results by "Google Search: Singular Learning Theory" and "Bing Search: Singular Learning Theory" New research field is now being developed. Thank you very much for your interest !

Dr. Sumio Watanabe is a professor emeritus of Tokyo Institute of Technology, a professor emeritus of Institute of Science Tokyo, a visiting senior researcher of RIKEN, and an IEICE fellow.

New Information

Sumio Watanabe, Review and prospect of algebraic research in equivalent framework between statistical mechanics and machine learning theory, arxiv2406.10234.

Lecture in Osaka University, Special Lecture of Data Science II, September 8-13, 2024.

Riken Conference Tokyo Deep Learning 2024, March 18-20, 2024.

ISMI Conference Bayesian Statistics and Statistical Learning, December 11-15, 2023.