Yoshinobu Kawahara (Ph.D.)
Title
Team Director
Members
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Special postdoctoral researcherPongpisit Thanasutives
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Postdoctoral researcherItsushi Sakata
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Postdoctoral researcherSatoshi Noguchi
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Technical staff IYoshiteru Nishimura
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Visiting scientistKeisuke Fujii
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Visiting scientistYuka Hashimoto
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Visiting scientistMasahiro Fujisawa
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Visiting scientistTakuya Konishi
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Visiting scientistMasanobu Horie
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Part-time worker IJingjing Bai
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Part-time worker IRyogo Tanaka
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Part-time worker IIYuto Inui
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Part-time worker IIYuta Miyauchi
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Part-time worker IIYuri Iwase
Introduction
Our team focuses on the dynamical structures underlying data-generating mechanisms, developing machinelearning theories and algorithms for their prediction and control. At the same time, by leveraging the dynamical-system perspective of information processing in machine learning, we establish novel machine learning principles and develop models and algorithms based on these principles.
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)
- FY2024 Research Results(PDF 11MB) (Japanese version)
- FY2023 Research Results(PDF 6MB) (Japanese version)
- 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)
Research Achievements
Related posts
posted on May 12, 2025 10:25Information
posted on May 12, 2025 10:12Information
posted on January 27, 2025 15:11Information
posted on September 24, 2024 14:59Information
posted on May 9, 2024 22:55Information
posted on September 25, 2023 20:05Information
posted on June 19, 2023 12:41Seminar
posted on January 27, 2023 10:01Information
posted on May 23, 2022 10:51Information
posted on October 7, 2021 12:42Seminar
posted on October 8, 2021 16:33Information
posted on October 1, 2021 11:43Symposium
posted on February 1, 2021 09:49Seminar
posted on January 27, 2021 11:12Information
posted on December 24, 2020 13:51Award
posted on November 16, 2020 09:42Pressrelease
posted on June 14, 2020 12:27Seminar
posted on May 28, 2020 15:00Information
posted on March 18, 2019 18:33Award
posted on September 7, 2018 17:55Information
