Kenichi Bannai
Kenichi Bannai brings mathematical research to machine learning, with shared work on optimization and leadership of RIKEN’s Mathematical Science Team. Bannai coauthored a paper on fitting Bézier simplices to describe Pareto fronts with small samples in multi-objective optimization. The work addressed how to represent choices when several objectives must be considered together. Bannai directs RIKEN’s Mathematical Science Team. The team brings together pure mathematicians and theoretical physicists to study mathematical problems that arise in artificial intelligence and machine learning. The team studies machine learning.
- Now at
- RIKEN and Keio University
- Works
- 53
- Citations
- 170
- h-index
- 7
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2019
Fitting competing objectives
Bannai coauthored a paper on fitting Bézier simplices to describe Pareto fronts with small samples in multi-objective optimization. The work addressed how to represent choices when several objectives must be considered together.
-
As of October 2026
Mathematical science for AI
Bannai directs RIKEN’s Mathematical Science Team. The team brings together pure mathematicians and theoretical physicists to study mathematical problems that arise in artificial intelligence and machine learning. The team studies machine learning.
Sources and credits
Photo: www.riken.jp; creator not stated. License: Not stated by source. Source: riken.jp. Cropped to a square and resized. Ask us to remove or replace this photo.