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日野 英逸

ALUMNI 2025年7月現在、筑波大学が主たる所属機関ではありません

Hino, Hideitsu

統計数理研究所 , 教授
The Institute of Statistical Mathematics , Professor

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  1. 1. Sparse Coding-Based Multiframe Superresolution for Efficient Synchrotron Radiation Microspectroscopy Yasuhiko Igarashi; Naoka Nagamura; Masahiro Sekine; Hirokazu Fukidome (+1 著者) Masato Okada
      Discover Nano (2025)
  2. 2. Dynamics of the accelerated t-SNE Kyoichi Iwasaki; Hideitsu Hino
      Transactions on Machine Learning Research (2025)
  3. 3. Optimal Spectroscopic Measurement Design: Bayesian Framework for Rational Data Acquisition Yusei Ito; Yasuo Takeichi; Hideitsu Hino; Kanta Ono
      Machine Learning: Science and Technology 6: 025037 (2025)
  4. 4. Misspecifying Non-Compensatory as Compensatory IRT: Analysis of Estimated Skills and Variance Hiroshi Tamano; Hideitsu Hino; Daichi Mochihashi
      Behaviormetrika (2025)
  5. 5. Data-driven proactive prediction of pumice drifting patterns using similarity search of the Kuroshio current axis Tatsu Kuwatani; Hideitsu Hino; Haruka Nishikawa; Shotaro Akaho
      npj Natural Hazards 2: (2025)
  6. 6. Complex non-backtracking matrix for directed graphs Keishi Sando; Hideitsu Hino
      Journal of Complex Networks (2025)
  7. 7. An embedding structure of determinantal point process Hideitsu Hino; Keisuke Yano
      Information Geometry (2024) Semantic Scholar
  8. 8. Fast symplectic integrator for Nesterov-type acceleration method Shin-itiro Goto; Hideitsu Hino
      Japan Journal of Industrial and Applied Mathematics (2024)
  9. 9. When Should We Use Top Coding in Locally Private Estimation? Theoretical Bounds of Performance Hajime Ono; Kazuhiro Minami; Hideitsu Hino
      International Journal of Information Security (2024)
  10. 10. Gradual Domain Adaptation via Normalizing Flows Shogo Sagawa; Hideitsu Hino
      Neural Computation (2024)
  11. 11. Separating urban heat island circulation and convective cells through dynamic mode decomposition Takuto Sato; Hideitsu Hino; Hiroyuki Kusaka
      Atmospheric Science Letters (2024) Semantic Scholar
  12. 12. Rational partitioning of spectral feature space for effective clustering of massive spectral image data Yusei Ito; Yasuo Takeichi; Hideitsu Hino; Kanta Ono
      Scientific Reports (2024) Semantic Scholar
  13. 13. A Short Survey on Importance Weighting for Machine Learning Masanari Kimura; Hideitsu Hino
      Transactions on Machine Learning Research (2024) Semantic Scholar
  14. 14. An Introduction to SGTPPR: Sparse Geochemical Tectono‐Magmatic Setting Probabilistic MembershiP DiscriminatoR Kenta Ueki; Hideitsu Hino; Tatsu Kuwatani
      Geochemistry, Geophysics, Geosystems 25: (2024) Semantic Scholar
  15. 15. Minorization-Maximization for Learning Determinantal Point Processes Takahiro Kawashima; Hideitsu Hino
      Transactions on Machine Learning Research (2023)
  16. 16. Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness Takeshi Kanda; Toshimitsu Aritake; Kaoru Ohyama; Kaspar E. Vogt (+4 著者) Noboru Murata
      (2023) Semantic Scholar
  17. 17. ATNAS: Automatic Termination for Neural Architecture Search Kotaro Sakamoto; Hideaki Ishibashi; Rei Sato; Shinichi Shirakawa (+1 著者) Hideitsu Hino
      Neural Networks (2023) Semantic Scholar
  18. 18. Synthesizing Differentially Private Location Traces Including Co-Locations Jun Narita; TakaoMurakami; Hideitsu Hino; MasakatsuNishigakiTetsushi Ohki
      International Journal of Information Security (2023) Semantic Scholar
  19. 19. Information-based Probabilistic Verification Scores for Two-dimensional Ensemble Forecast Data: A Madden-Julian Oscillation Index Example Yuhei Takaya; Kensuke K. Komatsu; Hideitsu Hino; Frédéric Vitart
      Monthly Weather Review (2023) Semantic Scholar
  20. 20. Regression analysis and variable selection to determine the key subduction-zone parameters that determine the maximum earthquake magnitude Atsushi Nakao; Tatsu Kuwatani; Kenta Ueki; Kenta Yoshida (+2 著者) Shotaro Akaho
      Earth, Planets and Space 75: (2023) Semantic Scholar
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  1. 1. 数理科学 2024年4月号 Ｎｏ.730 最適輸送を用いたドメイン適応 ～ 新規変数の観測に対する適応への応用 ～ 日野英逸; 有竹俊光
    株式会社サイエンス社 2024年4月
  2. 2. マテリアル・機械学習・ロボット（現代化学増刊48）， ベイズ最適化の停止基準 日野英逸
    株式会社 東京化学同人 2024年3月
  3. 3. Progress in Information Geometry: Theory and Applications Shin-itiro Goto; Hideitsu Hino (担当:共著)
    Springer Nature 2021年4月
  4. 4. 日本統計学会公式認定 統計検定準1級対応 統計学実践ワークブック 日本統計学会 編 編集委員 竹村彰通(委員長)・青木敏・岩崎学・小林景・中西寛子・原尚幸・日野英逸 他 (担当:分担執筆)
    学術図書出版社 2020年5月
  5. 5. 岩波データサイエンス Vol. 5 Hino,Hideitsu
    2017年2月 (ISBN: 9784000298551)
  6. 6. コンピュー タビジョン 最先端ガイド 6 日野英逸; 村田昇 (担当:分担執筆, 範囲:第3章「スパース表現の数理と応用」)
    アドコム・メディア 2013年12月

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