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    • May 2023 RoboCup Japan Open @ Home DSPL League, Winner

      T. Matsushima et al.

    • March 2023 RoboCup Japan Open @ Home DSPL League, 3rd Place

      T. Matsushima et al.

    • Design Methodology for Information Processing Architecture Learned from the Brain

      Hiroshi Yamakawa

      3rd International Symposium & Young Investigator Symposium on Brain Information Dynamics

    • Langevin Autoencoders for Learning Deep Latent Variable Models

      Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai, Yutaka Matsuo

      Advances in Neural Information Processing Systems 35 (NeurIPS 2022).

    • Robustifying Vision Transformer Without Retraining From Scratch Using Attention Based Test-Time Adaptation

      Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

      New Generation Computing, (2022).[paper]

    • World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator

      Tatsuya Matsushima, Yuki Noguchi, Jumpei Arima, Toshiki Aoki, Yuki Okita, Yuya Ikeda, Koki Ishimoto, Shohei Taniguchi, Yuki Yamashita, Shoichi Seto, Shixiang Shane Gu, Yusuke Iwasawa, Yutaka Matsuo.

      Advanced Robotics. Vol. 36, No. 17-18, pp 850-869, (2022).

    • 全脳アーキテクチャ ─ 機能を理解しながら脳型AIを設計・開発する ─. in 認知科学講座4 心をとらえるフレームワークの展開 (編集 横澤一彦) 209–249

      山川 宏

      東京大学出版会

    • 強化学習(第2版)

      R. Sutton (原著), A. Barto (原著), 奥村エルネスト純 (監訳), 鈴木雅大 (監訳, 松尾豊 (監訳), 三上貞芳 (監訳), 山川宏 (監訳), 今井翔太 (翻訳), 川尻亮真 (翻訳), 菊池悠太 (翻訳), 鮫島和行 (翻訳), 陣内佑 (翻訳), 髙橋将文 (翻訳), 谷口尚平 (翻訳), 藤田康博 (翻訳), 前田新一 (翻訳), 松嶋達也 (翻訳)

      森北出版

    • Explaining Intelligent Agent’s Future Motionon Basis of Vocabulary Learning WithHuman Goal Inference

      Fukuchi, Y., Osawa, M., Yamakawa, H., & Imai, M.

      IEEE Access, 10, 54336–54347. (2022)

    • Predicting production indices using deep learning models with inter-industry trade structures

      山本裕樹,落合桂一,鈴木雅大,松尾豊

      情報処理学会論文誌, (2022).