Downloadable CV (PDF): Summary version, Full version 🔗

Publications and Preprints 🔗

  1. Ishikawa, I.*, Teshima, T.*, Tojo, K., Oono, K., Ikeda, M., Sugiyama, M.,
    Universal approximation property of invertible neural networks. arXiv:2204.07415 [cs.LG], 2022.
    * Equal contribution.

    Preprint (arXiv)
  2. Lu, N., Zhang, T., Fang, T., Teshima, T., Sugiyama, M.,
    Rethinking importance weighting for transfer learning. arXiv:2112.10157 [cs.LG], 2021.
    Preprint (arXiv)
  3. Oishi, A., Teshima, T., Kojima, N., Kiriha, M., Kojima, N., Sasaki, T., Takahira, K., Takeuchi, T., Tajima, K., Noda, C., Hirose, H., and Yamanaka, S.,
    Forecasting internally displaced people's movements with artificial intelligence (Book Chapter). Digital Innovations, Business and Society in Africa: New Frontiers and a Shared Strategic Vision (Springer), 2022.
    Book series: Advances in Theory and Practice of Emerging Markets". Book editors: Richard Boateng, Sheena Lovia Boateng, Thomas Anning-Dorson and Longe Olumide Babatope"

    Chapter page (Springer) Book (Springer)
  4. Teshima, T., Tojo, K., Ikeda, M., Ishikawa, I., and Oono, K.,
    Universal approximation property of neural ordinary differential equations. NeurIPS2020 Workshop: Differential Geometry meets Deep Learning, 2020 (DiffGeo4DL).
    preprint (arXiv) slides venue and video
  5. Teshima, T.*, Ishikawa, I.*, Tojo, K., Oono, K., Ikeda, M., and Sugiyama, M.,
    Coupling-based invertible neural networks are universal diffeomorphism approximators. Advances in Neural Information Processing Systems 33, 2020 (NeurIPS 2020).
    * Equal contribution. Oral presentation (one of the 105 orals among the 1900 accepted papers; paper acceptance rate 20.1%, oral acceptance rate 1.1%).

    Proceedings code (figure) slides Conference session
  6. Fujisawa, M., Teshima, T., and Sato, I.,
    γ-ABC: Outlier-robust approximate Bayesian computation based on a robust divergence estimator. The 24th International Conference on Artificial Intelligence and Statistics, 2021 (AISTATS 2021).
  7. Kato, M. and Teshima, T.,
    Non-negative Bregman divergence minimization for deep direct density ratio estimation. Proceedings of the 38th International Conference on Machine Learning, 2021 (ICML 2021).
    Proceedings Press release
  8. Kato, M., Teshima, T., and Honda, J.,
    Learning from positive and unlabeled data with a selection bias. Seventh International Conference on Learning Representations, 2019 (ICLR 2019).
  9. Teshima, T., Xu, M., Sato, I., and Sugiyama, M.,
    Clipped matrix completion: a remedy for ceiling effects. Thirty-Third AAAI Conference on Artificial Intelligence, 2019 (AAAI-19).
    paper supplementary code slides

Selected Poster Presentations (Physical/Virtual) More...

  1. Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation.
    July 28, 2021  Online   37th Conference on Uncertainty in Artificial Intelligence session (51 II-A3) video (Underline)
  2. Few-shot Domain Adaptation by Causal Mechanism Transfer
    July 17, 2020  Online   37th International Conference on Machine Learning slides

Selected Talks More...

  1. 因果的知識は予測モデルの役に立つか?
    July 02, 2021  Online (Zoom)  DL輪読会-外部セミナー (Invited talk)
    slides (Japanese)

Work Experiences 🔗

Education 🔗

Theses 🔗

Awards and Grants 🔗

  • IBIS 2021 (The 24th Information-Based Induction Sciences Workshop) Outstanding Presentation Award (Presenter: Masahiro Fujisawa; awarded for our joint work)
  • (08 Mar 2022)
  • RIKEN Ohbu Award 2020 (Research Incentive Award) for "Research on the Universal Approximation Property of Invertible Neural Networks".
  • (17 Mar 2021)
  • IBIS 2020 (The 23rd Information-Based Induction Sciences Workshop) Outstanding Presentation Award for "Research on the Universal Approximation Property of Invertible Neural Networks".
  • (08 Jan 2021)
  • Masason Foundation regular member (3rd Generation)
  • (Jul 2020 - present)
  • UTokyo Toyota-Dwango AI scholarship (merit-based)
  • (Apr 2020 - Mar 2021)
  • Academic Research Grant for GSFS Doctor Course Students, The University of Tokyo
  • (1 Jun 2019 - 30 Nov 2019)
  • Masason Foundation associate member (3rd Generation)
  • (1 Jul 2019 - Jun 2020)
  • UTokyo Toyota-Dwango AI scholarship (merit-based)
  • (Apr 2019 - Mar 2020)
  • Full exemption of repayment of Type I scholarship for excellent performance, Japan Student Services Organization (JASSO)
  • (2019)
  • Deans' Award for Outstanding Achievement (Master Course; Graduate School of Frontier Sciences)
  • (20 Mar 2019)
  • UTokyo Toyota-Dwango AI scholarship (merit-based)
  • (Sep 2017 - Mar 2018)

    Selected Certificates and Licenses 🔗

    Other Professional Activities 🔗