Research

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    • Scene interpretation using background information from deep generative models

      小林由弥, 鈴木雅大, 松尾豊

      人工知能学会論文誌, 第38巻3号, (2023).

    • Bayesian Neural Network for Uncertainty Assessment of Economic Text and Development of Economic Indicators

      山本裕樹, 鈴木雅大, 落合桂一, 松尾豊

      情報処理学会論文誌, (2023).

    • Proposal of a DeepFake Video Detection Method Using Face Angle Information

      蔭山智, 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, (2023).

    • AI and Us Artificial Intelligence, Can We Control It?

      山川宏

      朝日新聞デジタル 2023年9月16日

    • Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice

      Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo

      International Conference on Machine Learning (ICML 2023). July 2023.

    • End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization

      Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Machine Learning (ICML 2023) July 2023.

    • BRAES: Developing a Brain Reference Architecture Editorial System for Accumulating Hypotheses on Neural Functionality

      Yoshimasa Tawatsuji, Yuta Ashihara, Naoya Arakawa, Hiroshi Yamakawa

      INCF Neuroinformatics Assembly, 517. September 2023

    • Proposing a Database Extracting Anatomical Structures from Neuroscience Literature and Evaluating Its Information Credibility

      Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi

      INCF Neuroinformatics Assembly, 518.

    • BDBRA: Database for extracting descriptions of neural projections and brain regions from neuroscience literature with dialogue prompts

      Yuta Ashihara, Hiroshi Yamakawa, Iriya Horiguchi, Yutaka Matsuo

      Computational Neuroscience, P128. 2023.

    • Proposal of a function-oriented SCID method for reverse engineering a wide range of brain regions

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

      Computational Neuroscience, P127. 2023