Seiya Tokui
Scholar

Seiya Tokui

Google Scholar ID: qOkcVXMAAAAJ
Preferred Networks, Inc.
Machine LearningDeep Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,666
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
0
 
Contact
Emailtokui@preferred.jpTwitterOpen ↗GitHubOpen ↗
Publications
1 items
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
2025
Cited
0
Resume
Academic Achievements
  • - Published multiple papers in international conferences such as ICLR, KDD, ICML, etc.
  • - Received the Software Japan Award 2017 from the Information Processing Society of Japan for his contributions to the development of a deep learning framework
Research Experience
  • - Researcher at Preferred Networks (Oct. 2014 – present)
  • - Worked on machine learning and computer vision for IoT
  • - Led the development of the deep learning framework Chainer
  • - Researcher/Engineer at Preferred Infrastructure (Apr. 2012 – Oct. 2014)
  • - Mainly engaged in the Jubatus project
  • - Internship experiences: pixiv (Mar. 2011), worked on improvements of recommender systems; Google Japan (Aug. 2010 – Sep. 2010), worked at Google Japanese Input team and created the calculator feature
Education
  • - Doctor: Information Science and Technology, University of Tokyo (Apr. 2016 – Sept. 2022), Supervisor: Issei Sato
  • - Master: Mathematical Informatics, University of Tokyo (Apr. 2010 – Mar. 2012), Supervisor: Hiroshi Nakagawa
  • - Bachelor: Mathematics, University of Tokyo (Apr. 2006 – Mar. 2010)
Background
  • Research interests include deep learning and its software stack. He was the lead developer of the deep learning framework Chainer.
Miscellany
  • Co-authored a Japanese book on online machine learning with three colleagues