Naoya Takeishi (Preferred)
Naoya Takeishi
Lecturer, The University of Tokyo
Joined
July 2019
Names
Emails
****@riken.jp (Confirmed)
****@ailab.t.u-tokyo.ac.jp (Confirmed)
****@gmail.com (Confirmed)
****@hesge.ch (Confirmed)
****@a.riken.jp (Confirmed)
****@g.ecc.u-tokyo.ac.jp (Confirmed)
Personal Links
Career & Education History
Lecturer
The University of Tokyo (u-tokyo.ac.jp)
2023 – Present
Postdoc
HES-SO (hesge.ch)
2020 – 2023
Postdoc
RIKEN (riken.jp)
2018 – 2020
PhD student
The University of Tokyo (u-tokyo.ac.jp)
2015 – 2018
Advisors, Relations & Conflicts
Expertise
grey-box modeling
, hybrid machine learning
, knowledge-based machine learning
, physics-integrated machine learning
2020 – Present
machine learning of dynamical systems
, dynamic mode decomposition
, Koopman operator
2016 – Present
Publications
Co-Authors
- Adrian E. Bayer
- Akira Osaka
- Akira Tanimoto
- Alexandros Kalousis
- Anand Srinivasan
- Annika Raatz
- Antoine Wehenkel
- Arnaud Delaunoy
- Atom Scott
- Atsushi kuribayashi
- Chun Fui Liew
- Danielle DeLatte
- Emyo Fujioka
- Fuyuto Terui
- Gilles Louppe
- Haruki Settai
- Henrik Krauss
- Hiroshi Nakahara
- Hiroyoshi Kohno
- Imahn Shekhzadeh
- Joao Candido Ramos
- Johann Licher
- Kanta Yanagida
- Kaoru Ide
- Kazushi Tsutsui