
Yoshinobu Kawahara (Ph.D.)
Members
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Team leaderYoshinobu Kawahara
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Research scientistMatthias Weissenbacher
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Special postdoctoral researcherKazu Ghalamkari
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Postdoctoral researcherVelmurugan Gandhi
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Postdoctoral researcherItsushi Sakata
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Technical staff IYoshiteru Nishimura
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Visiting scientistKeisuke Fujii
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Visiting scientistShunji Umetani
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Visiting scientistYuka Hashimoto
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Visiting scientistTakuya Konishi
Introduction

When making predictions based on intelligent information processing such as machine learning, we usually have prior information about structures among variables in data. In our team, we study theories and algorithms for learning with such structural information. Moreover, we conduct applied researches by applying developed algorithms to a variety of scientific and engineering data.
Main Research Field
Computer Science
Research Field
Physics / Engineering
Research Subjects
Machine learning with structural prior information
Development of optimization algorithms for efficient learning
Learning for analysis of spatiotemporal dynamics
Application of developed methods to scientific and engineering data
Development of optimization algorithms for efficient learning
Learning for analysis of spatiotemporal dynamics
Application of developed methods to scientific and engineering data
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
- FY2022 Research Results(PDF 1.06MB) (Japanese version)
- FY2021 Research Results(PDF 1.64MB) (Japanese version)
- FY2019 Research Results (Japanese version)
- FY2018 Research Results (Japanese version)
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