Publications

1. Koshizuka, T., Fujisawa, M., Tanaka, Y., and Sato, I.
   Initialization Bias of Fourier Neural Operator: Revisiting the Edge of Chaos.
   arXiv preprint, 2023.
   
2. Futami, F., and Fujisawa, M. (equal contribution)
   Time-Independent Information-Theoretic Generalization Bounds for SGLD.
   37th Conference on Neural Information Processing Systems (NeurIPS), 2023. To appear.
   
3. Fujisawa, M., and Sato, I.,
   Multilevel Monte Carlo Variational Inference.
   Journal of Machine Learning Research (JMLR), 2021.
   
4. Fujisawa, M., Teshima, T., Sato, I., and Sugiyama, M.,
   γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator.
   Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
   This method has been merged into the ABCpy Python library for Likelihood-Free Inference.

Talks

1. 「近似勾配流」が実現するSVGDのKL距離下での準線形収束保証
   The 26th Information-Based Induction Science Workshop (IBIS2023), 北九州国際会議場, Nov. 2023.
   
2. 深層Fourier Neural Operatorはなぜ性能が悪いのか: カオスの縁の再考
   The 26th Information-Based Induction Science Workshop (IBIS2023), 北九州国際会議場, Nov. 2023.
   
3. SGLDのための時間非依存な情報理論的汎化誤差上界
   The 26th Information-Based Induction Science Workshop (IBIS2023), 北九州国際会議場, Nov. 2023.
   
4. γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator. (Invited talk)
   The satellite event of BayesComp2023: "Bayesian computing without exact likelihoods", Levi, Finland, Mar. 2023.
   
5. γ-ABC: 頑健なダイバージェンス推定量を用いた外れ値ロバストな近似ベイズ計算
   The 24th Information-Based Induction Science Workshop (IBIS2021), Online, Nov. 2021.
   
6. γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator.
   The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), Online, Apr. 2021.
   
7. Multi-level Monte Carlo Variational Inference.
   邦題：マルチレベルモンテカルロ変分推論
   The 22nd Information-Based Induction Science Workshop (IBIS2019), ウインクあいち, Nagoya, Japan, Nov. 2019.
   
8. モンテカルロ変分推論における分散抑制法について
   NTTコミュニケーション科学基礎研究所, Kyoto, Japan, Oct. 2018.
   
9. 固定効果重力モデルを用いた”引きつける”能力の推定とチャンスメイク能力の定量化
   第7回スポーツデータ解析コンペティション (サッカー部門), 日本統計学会, Institute of Statistical Mathematics, Tokyo, Japan, Dec. 2018.
   
10. Bayesian GPLVMを用いた複雑データの可視化
    日本統計学会 若手セミナー, Gifu, Japan, Sep. 2017.
    
11. 地域性を考慮した観客動員数増加のための施策
    SAJ2016, 日本科学未来館, Tokyo, Japan, Dec. 2016.
    
12. 勾配ブースティングを用いたナチュラルローソン菓子シリーズの売り上げ予測について
    The 2nd Big-data Analysis Contest, 幕張メッセ, Tokyo, Japan, Oct. 2016.
    

Education

• Apr. 2020 - Present.
  • Ph.D student, Sato Laboratory, The University of Tokyo.
• Apr. 2018 - Mar. 2020.
  • Master of Science (M.Sc.), Sugiyama-Sato-Honda Laboratory (at that time), The University of Tokyo.
• Apr. 2014 - Mar. 2018.
  • Bachelor of Science (B.Sc.), Yadohisa Laboratory, Doshisha University.

Emproyment

• Oct. 2021 - Present.
  • The University of Tokyo
  • Excellence Research Assistant (卓越RA)
  • Graduate School of Information Science and Technology
• Apr. 2021 - Present.
  • RIKEN Center for Advanced Intelligence Project (RIKEN AIP)
  • Part-time Researcher (RA)
  • Imperfect Information Learning Team (PI: Prof. Masashi Sugiyama)
• Apr. 2020 - Mar. 2021.
  • RIKEN Center for Advanced Intelligence Project (RIKEN AIP)
  • RIKEN Junior Research Associate (JRA)
  • Imperfect Information Learning Team (PI: Prof. Masashi Sugiyama)
• Jun. 2019 - Mar. 2020.
  • RIKEN Center for Advanced Intelligence Project (RIKEN AIP)
  • Part-time Researcher (RA)
  • Medical Image Analysis Team (PI: Prof. Issei Sato) (at that time).

Grants and Fellowships

1. ACT-X Program (Frontier of mathematics and information science), Japan Science and Technology Agency (JST) (Oct. 2021 – Mar. 2024).
2. The University of Tokyo Toyota-Dwango Scholarship for Advanced AI Talents (merit-based), The University of Tokyo/Toyota/Dwango (Apr. 2021 – Mar. 2022).
3. JSPS Research Fellowship (DC2) (21K USD) (Apr. 2021 - Mar. 2023).
4. The University of Tokyo Toyota-Dwango Scholarship for Advanced AI Talents (merit-based), The University of Tokyo/Toyota/Dwango (Apr. 2020 – Mar. 2021).
5. AIP Challenge Program, Japan Science and Technology Agency (JST) (10K USD) (Jul. 2019 – Mar. 2020).
6. The University of Tokyo Toyota-Dwango Scholarship for Advanced AI Talents (merit-based), The University of Tokyo/Toyota/Dwango (Apr. 2019 – Mar. 2020).
7. The University of Tokyo Toyota-Dwango Scholarship for Advanced AI Talents (merit-based), The University of Tokyo/Toyota/Dwango (Apr. 2018 – Mar. 2019).

Awards

1. Dean’s Award for Outstanding Achievement, Graduate School of Frontier Sciences, The University of Tokyo (Mar. 2023).
2. The excellent presentation award (3 / 127 presentations), IBIS2021 (Mar. 2022).
3. Full exemption of repayment of Type I scholarship for excellent performance, Japan Student Services Organization (JASSO) (2021).
4. Dean’s Award for Outstanding Achievement, Graduate School of Frontier Sciences, The University of Tokyo (Mar. 2020).
5. Half exemption of repayment of Type I scholarship for excellent performance, Japan Student Services Organization (JASSO) (2020).
6. Academic Incentive Award, Doshisha University (Mar. 2018).
7. Incentive award on the 7th Sports Data Analysis Competition (Data Analysis), The Japan Statistical Society (Mar. 2018).
8. JASSO Excellent Student Award: Grand Prize, Japan Student Services Organization (JASSO) (Dec. 2017).
9. Academic Incentive Award, Doshisha University (Mar. 2017).
10. Doshisha President Award, The Doshisha (Mar. 2017).
11. Japan Sports Analyst Award (SAJ2016), SAP Japan, SAJ2016 (Dec. 2016).
12. Highest Precision Award: Winning Prize, Ministry of Economy / Trade and Industry (METI), The 2nd Big Data Analysis Contest (Oct. 2016).

Other Professional Activities

• Reviewer (Conference)
  • NeurIPS2020
  • NeurIPS2021 (Outstanding Reviewer Award; the top 8% of reviewers)
  • ICML2022 (Outstanding Reviewer; the top 10% of reviewers)
• Reviewer (Journal)
  • Annals of Statistics (2023), TMLR (2023)