Tomoya Sakai
Profile
Publications
Software
Misc
（日本語ページ）

Misc

Talks

  1. Nov. 14, 2025.
    Pioneering Time Series Foundation Models with Tiny-Scale Architectures
    Time Series Analysis and Foundation Models (Organized Session 4) in The 28th Information-based Induction Sciences Workshop, Okinawa.

  2. Jun. 26, 2025.
    ​Granite Time Series Models: Fast, Tiny, Accurate.
    AI Agent Meetup Tokyo in AI Alliance 2025: Open Innovation in the Age of Agents

  3. May 27th, 2025.
    Research and Development for IBM Granite Time Series Foundation Model (Takayuki Katsuki, Tomoya Sakai).
    Industrial Session3, the 39th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2025)

  4. Jan. 12, 2018.
    Semi-supervised classification based on classification from positive and unlabeled data.
    Toshiba R&D Center, Media AI Department, Kanagawa.

  5. Dec. 15, 2017.
    Learning from positive and unlabeled data and its development in semi-supervised learning.
    Computational Incentive Science Seminar, Tokyo.

  6. Nov. 8, 2017.
    Semi-supervised classification based on classification from positive and unlabeled data.
    Session 1 in The 20th Information-Based Induction Science Workshop (IBIS2017), Tokyo.

  7. Sep. 18, 2017.
    Semi-supervised classification based on classification from positive and unlabeled data.
    Top Conference Paper Reading Meetup in Summer (CVPR/ICML/KDD etc.), Tokyo.

  8. Aug. 3, 2017.
    Semi-supervised classification based on classification from positive and unlabeled data.
    ERATO KANSYASAI Season IV, Tokyo.

Lectures

  1. Dec. 4, 2021.
    “Theory of data analysis (Part 1)” and “Theory of data analysis (Part 2)” in Advanced lecture on artificial intelligence, http://www.pib.i.kyoto-u.ac.jp/, Kyoto University.

  2. Dec. 5, 2020.
    “Theory of data analysis (Part 1)” and “Theory of data analysis (Part 2)” in Advanced lecture on artificial intelligence, http://www.pib.i.kyoto-u.ac.jp/, Kyoto University.

  3. Dec. 7, 2019.
    “Theory of data analysis (Part 1)” and “Theory of data analysis (Part 2)” in Advanced lecture on artificial intelligence, http://www.pib.i.kyoto-u.ac.jp/, Kyoto University.