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J-GLOBAL ID：201301007399939971   Update date: Oct. 18, 2024

Kenji Yamanishi

ヤマニシ ケンジ | Kenji Yamanishi
Affiliation and department：
The University of Tokyo

About The University of Tokyo


Homepage URL  (1)： http://kaken.nii.ac.jp/d/r/90549180.ja.html
Research field  (1)： Intelligent informatics
Research keywords  (7)： Sign Informatics ,  Computational Ophthalmology ,  Model Selection ,  Anomaly Detection ,  Change Detection ,  Minimum Description Length Principe(MDL Principle) ,  Information-theoretic Learning Theory
Research theme for competitive and other funds  (5)：
  • 2024 - 2027 Theory of Optimal Latent Space with Its Applications to Economics, Medicine and Generative AI
  • 2019 - 2024 予兆検知のための数理的手法の開発と経済学・医学への応用
  • 2019 - 2022 Discovery of Deep Knowledge with Advanced Utilization of Latent Space
  • 2013 - 2019 Discovery of Deep Knowledge and Value Creation from Complex Data
  • 2011 - 2016 Study on Information theoretic Learning Theory of Latent Dynamics
Papers (134)：
  • N. Nishikawa, Y. Ike, K. Yamanishi. Adaptive Topological Features via Persistent Homology Filetering Learning for Point Clouds. NeurIPS2023. 2023
  • R.Yuki, A.Suzuki, K. Yamanishi. Dimensionality and Curvature Selection of Graph Embedding using DNML Code-Length. 2023 IEEE International Conferene on Data Mining (ICDM2023). 2023. 1517-1522
  • Kenji Yamanishi, So Hirai. Detecting signs of model change with continuous model selection based on descriptive dimensionality. Applied Intelligence. 2023. 53. 22. 26454-26471
  • Ryo Yuki, Yuichi Ike, Kenji Yamanishi. Dimensionality selection for hyperbolic embeddings using decomposed normalized maximum likelihood code-length. Knowledge and Information Systems. 2023. 65. 12. 5601-5634
  • Shintaro Fukushima, Kenji Yamanishi. Balancing Summarization and Change Detection in Graph Streams. 2023 IEEE International Conference on Data Mining (ICDM2023). 2023. 1025-1030
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MISC (50)：
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Books (9)：
  • Learning with the Minimum Description Length Principle
    Springer 2023
  • 異常検知からリスク管理へ
    サイエンス社 2022 ISBN:9784781915463
  • 知識の表現と学習
    丸善出版 2018 ISBN:9784621302897
  • 情報論的学習とデータマイニング
    朝倉書店 2014 ISBN:9784254116830
  • 情報論的学習理論
    共立出版 2010 ISBN:9784320122550
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Lectures and oral presentations  (76)：
  • 「異常検知からリスク管理へ」
    (東京理科大経営学研究科技術経営専攻 「情報アナリシス」 2022)
  • 異常予兆検知ー基礎理論とリスク管理への応用
    (ものづくり企業に役立つ応用数理手法の研究会 2022)
  • 潜在空間を高度活用したディープナレッジの発見
    (JST^RIKEN AIP合同公開シンポジウム 2021)
  • 予兆情報学ー情報論的学習理論に基づく変化予兆検知
    (人工知能学会全国大会 2021)
  • 予兆情報学ー情報論的学習理論に基づく変化予兆検知
    (名古屋大学予兆学研究会 2021)
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Education (2)：
  • 1992 - 1992 The University of Tokyo Graduate School of Engineering、Dr. Engineering
  • 1985 - 1987 The Universit of Tokyo Graduate School of Engineering
Work history (2)：
  • 2009 - 現在 The University of Tokyo The Graduate School of Information Science and Technology Professor
  • 1987/04 - 2008/12 NEC
Committee career (42)：
  • 2024/05 - 現在 JST CREST「予測・制御のための数理科学的基盤の創出」 領域アドバイザー
  • 2024/02 - 現在 SIGKDD Conference on Knowledge Discovery and Data Mining Area Chair
  • 2022/04 - 現在 Entropy Editorial Boad Member
  • 2016/04 - 現在 Okouchi memorial award committee Okouchi memorial award committee member
  • 2012/03 - 現在 WITMSE Honorary Chairs
Show all
Awards (5)：
  • 2024/05 - Institute of Electoronics, Information and Communication Engineers Fellow Creation of Information-theoretic Learning Theory and Its Applications to Data Science
  • 2015/04 - Faculty of Engineering, the University of Tokyo Best Teaching Award Probability Mathmatical Engineering
  • 2014/06 - IBM IBM Faculty Award Information-theoretic learning theory and anomaly detection
  • 2005/07 - Fujisankei Business Eye Advanced Technology, Fujisankei Business Eye Award Research and Development of Security Intelligence Based on Data Mining
  • 1991/04 - Institute of Electoronics, Information and Communication Engineers Best paper award On Asymptotic Performance of Binary Modular Codes
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