Rchr
J-GLOBAL ID:201701019097998365   Update date: Jun. 01, 2024

Sugiyama Mahito

Sugiyama Mahito
Affiliation and department:
Job title: Associate Professor
Research field  (2): Intelligent informatics ,  Intelligent informatics
Research theme for competitive and other funds  (14):
  • 2022 - 2028 Machine Learning That Connects to Symbolic Reasoning
  • 2021 - 2025 Regular Deep Learning Models and Their Applications
  • 2022 - 2022 過剰パラメータ化が導く学習原理の再設計
  • 2018 - 2022 Search and decomposition of higher-order interactions between variables
  • 2016 - 2020 Developing Knowledge Integration Infrastructure with Feature Selection and Engineering on High-Dimensional Space
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Papers (65):
  • Kanoh, R, Sugiyama, M. Neural Tangent Kernels for Axis-Aligned Tree Ensembles. Proceedings of the 41st International Conference on Machine Learning (ICML2024). 2024
  • Profir-Petru Pârțachi, Mahito Sugiyama. Bringing Structure to Naturalness: On the Naturalness of ASTs. Proceedings of 46th International Conference on Software Engineering (ICSE 2024), Posters Track. 2024
  • Ghalamkari, K, Sugiyama, M, Kawahara, Y. Many-body Approximation for Non-negative Tensors. Advances in Neural Information Processing Systems (NeurIPS 2023). 2023. 36. 74077-74102
  • Yamada, Masatsugu, Sugiyama, Mahito. How Graph Features from Message Passing Affect Graph Classification and Regression?. Intelligent Data Analysis. 2023. 28. 1. 57-75
  • Matsue, K, Sugiyama, M. Unsupervised Tensor Based Feature Extraction from Multivariate Time Series. IEEE Access. 2023. 11. 116277-116295
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MISC (9):
  • Sugiyama, M. Finding Statistically Significant Patterns from Data. CIESM Workshop Monograph. 2017. 49. 53-58
  • Giuliano, L, Dorman, C, Bowler, C, Sugiyama, M, Vezzulli, L, Czerucka, D, Le Roux, F, D'Auria, G, Troussellier, M, Briand, F. Searching for Bacterial Pathogens in the Digital Ocean-Executive Summary. CIESM Workshop Monograph. 2017. 49. 5-25
  • SUGIYAMA MAHITO, IMAJO KENTARO, OTAKI KEISUKE. Semi-Supervised Ligand Finding Using Formal Concept Analysis (数理モデル化と応用 Vol.5 No.2). 情報処理学会論文誌 論文誌トランザクション. 2012. 2012. 1. 39-48
  • Semi-Supervised Ligand Finding Using Formal Concept Analysis. 2011. 2011. 28. 1-6
  • YOSHIOKA Tadashi, SUGIYAMA Mahito, YAMAMOTO Akihiro. An Online Algorithm for Classification Using Coding Divergence. IEICE technical report. 2011. 110. 476. 93-100
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Books (1):
  • Statistical Analysis for Successful Research in Life Science (in Japanese)
    2009
Lectures and oral presentations  (44):
  • Are abstract syntax trees natural? On the statistical predictability of source-code ASTs.
    (2023)
  • 機械学習におけるパラメータ空間の再考
    (創発的研究支援事業 融合の場2023 深層学習がもたらすブレイクスルーと可能性 2023)
  • グラフの識別や回帰におけるメッセージパッシングが与える影響の解析
    (人工知能学会 第125回人工知能基本問題研究会 2023)
  • 任意の二分木構造に対するTree Neural Tangent Kernel
    (第37回人工知能学会全国大会(JSAI2023) 2023)
  • 非負テンソルの多体モデリング
    (第37回人工知能学会全国大会(JSAI2023) 2023)
more...
Works (1):
  • graphkernels
    Mahito Sugiyama 2017 -
Education (2):
  • 2006 - 2012 Kyoto University Graduate School of Informatics
  • 2002 - 2006 Kyoto University Faculty of Engineering Undergraduate School of Informatics and Mathematical Science
Professional career (1):
  • Doctor of Informatics (Kyoto University)
Work history (10):
  • 2017/04 - 現在 National Institute of Informatics Associate Professor
  • 2018/10 - 2022/03 JST PRESTO Researcher (concurrent)
  • 2014/10 - 2018/03 JST PRESTO Researcher (concurrent)
  • 2014/04 - 2017/03 Osaka University ISIR Assistant Professor
  • 2016/09 - 2016/10 ETH Zürich Guest Professor
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Committee career (90):
  • 2023/10 - 現在 Machine Learning Journal Action Editor
  • 2021 - 現在 Data Mining and Knowledge Discovery Journal Editorial Board
  • 2020 - 現在 情報科学の達人 メンター
  • 2020 - 現在 Journal of Machine Learning Research Editorial Board Reviewers
  • 2020 - 現在 IBISML研究会専門委員会 専門委員
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Awards (11):
  • 2023 - JSAI Annual Conference Award
  • 2023 - JSAI Annual Conference Award
  • 2021 - The Japanese Society for Artificial Intelligence JSAI Incentive Award Analyzing Soft Tree Ensembles Using the Neural Tangent Kernel
  • 2021 - JSAI Annual Conference Award
  • 2020/12 - NeurIPS 2020 Workshop: Deep Learning through Information Geometry Best Paper Award The Volume of Non-Restricted Boltzmann Machines and Their Double Descent Model Complexity
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Association Membership(s) (5):
Japanese Association for Medical Artificial Intelligence ,  SIAM (Society for Industrial and Applied Mathematics) ,  The Japanese Society for Artificial Intelligence ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  IEEE
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