Research

研究

研究業績

カテゴリー

研究領域

  • Development of Polyimides with Low Dielectric Loss Tangent by Incorporating Polysiloxanes with Phenyl Side Groups

    Riku Takahashi, Ririka Sawada, Kan Hatakeyama-Sato, Yuta Nabae, Shinji Ando, Teruaki Hayakawa

    Macromolecular Rapid Communications, April 2025

  • Improved Availability of Mobile Network Teleoperation by Employing a Video Conferencing Application with Audio-Embedded Commands

    Sho Hatano, Yaonan Zhu, Tadayoshi Aoyama, Yasuhisa Hasegawa

    IEEE Robotics and Automation Letters (RA-L), Vol. 10, No. 4, pp. 3502-3509, April 2025

  • Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of Networks

    Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

    Transactions on Machine Learning Research (TMLR), 2025

  • Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web

    Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

    Transactions on Machine Learning Research (TMLR), 2025

  • Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials

    Hiroki Furuta, Gouki Minegishi, Yusuke Iwasawa, Yutaka Matsuo

    Transactions on Machine Learning Research (TMLR).

  • Technology Roadmap toward the Completion of Whole-Brain Architecture with BRA-Driven Development

    Hiroshi Yamakawa, Yoshimasa Tawatsuji, Yuta Ashihara, Ayako Fukawa, Naoya Arakawa, Koichi Takahashi, and Yutaka Matsuo

    Cognitive Systems Research, no. 101300 (October 2024)

  • Brain-Consistent Architecture for Imagination

    Hiroshi Yamakawa, Ayako Fukawa, Ikuko Eguchi Yairi, and Yutaka Matsuo

    Frontiers in Systems Neuroscience 18 (2024)

  • Hippocampal Formation-Inspired Global Self-Localization: Quick Recovery from the Kidnapped Robot Problem from an Egocentric Perspective

    Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, Katsuyoshi Maeyama, Lotfi El Hafi, Tadahiro Taniguchi, and Hiroshi Yamakawa

    Frontiers in Computational Neuroscience 18 (2024).

  • 文書生成タスクに対する強化学習応用における文書生成器のサンプルに非依存な報酬関数学習フレームワークの提案

    冨山翔司, 鈴木雅大, 落合桂一, 松尾豊

    電子情報通信学会和文論文誌D, (2024)

  • ガウス過程潜在変数モデルとニューラルネットワークの統合によるマルチエージェント記号創発と潜在表現学習

    中村友昭, 鈴木雅大, 谷口彰, 谷口忠大

    日本ロボット学会誌(レター), (2024)