Preprints

Journal papers (Refereed)

International Conference papers (Refereed)

Presentations

  • Shokichi Takakura, and Taiji Suzuki: カーネルの観点による二層ニューラルネットワークの平均場解析. Japanese Joint Statistical Meeting, Tokyo, Japan, Sep. 2024.
  • Shokichi Takakura, and Taiji Suzuki: Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective. The 41th International Conference on Machine Learning (ICML2024), Vienna, Austria, Jul. 2024.
  • Shokichi Takakura, and Taiji Suzuki: Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective. Workshop on Functional Inference and Machine Intelligence, Bristol, UK, Mar. 2024.
  • Shokichi Takakura, and Taiji Suzuki: Grokking in Linear Diagonal Neural Networks. The 26th Information-Based Induction Science Workshop, Hukuoka, Japan, Oct. 2023.
  • Shokichi Takakura, and Taiji Suzuki: Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input. The 26th Information-Based Induction Science Workshop, Hukuoka, Japan, Oct. 2023.
  • Shokichi Takakura, and Taiji Suzuki: 無限次元入力sequence-to-sequence関数に対するトランスフォーマーの近似及び推定能力. Japanese Joint Statistical Meeting, Kyoto, Japan, Sep. 2023.
  • Shokichi Takakura, and Taiji Suzuki: Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input. The 40th International Conference on Machine Learning (ICML2023), Hawaii, USA, Jul. 2023.
  • Shokichi Takakura, and Kazuhiro Sato: 方策勾配法を用いた線形2次レギュレータの制約付き出力フィードバック制御. 第66回システム制御情報学会研究発表講演会 (SCI’22), Kyoto, Japan, May 2022.