Scholar
Makoto Kawano
Google Scholar ID: rU0O4bMAAAAJ
The University of Tokyo
Citations & Impact
Citations
180
H-index
5
i10-index
5
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces (UAI2021)
- - Group Equivariant Conditional Neural Processes (ICLR2021)
- - CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications (Urb-IoT 2018)
- - GANonymizer: Image Anonymization Method Integrating Object Detection and Generative Adversarial Network (urbiot2018)
Research Experience
- - Researcher, Matsuo Lab @ The University of Tokyo, Apr 2019 – Present
- - Research Fellowship for Young Scientists (DC1), Japan Society for the Promotion of Science, Apr 2016 – Mar 2019
- - Research Assistant - Intern, Yahoo Japan Corp., Feb 2015 – Jul 2015
- - Front-end & Server-side Engineer - Intern, CyberAgent Inc., Sep 2014 – Oct 2014
- - Research Assistant - Intern, Nippon Telegraph and Telephone Corp., Aug 2014 – Aug 2014
Education
- Ph.D. (Media and Governance), 2019, Keio University; M.A.S. (Interdisciplinary Information Studies), 2016, The University of Tokyo; B.A. (Environment and Information Studies), 2014, Keio University.
Background
- Makoto Kawano is a researcher of machine learning at Matsuo Lab of the University of Tokyo. His research interests include efficient machine learning.
Miscellany
- Hobbies: Disney, Camera, Road Bike
Co-authors