Research

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    • Publications

    Category

    Research Area

    Year

    • Journals
      computer-vision Representation Learning 理論

      HAWK-Net: Hierarchical Attention Weighted Top-K Network for Megapixel Image Classification

      Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matsuo

      IPSJ, (2023).

    • Journals
      Robotics

      Collective Intelligence for 2D Push Manipulations with Mobile Robots

      So Kuroki, Tatsuya Matsushima, Jumpei Arima, Hiroki Furuta, Yutaka Matsuo, Shixiang Shane Gu, Yujin Tang

      RA-L, (2023).

    • Journals
      World Model 生成モデル

      Learning Global Spatial Information for Multi-View Object-Centric Models

      Yuya Kobayashi, Masahiro Suzuki, Yutaka Matsuo

      Advanced Robotics, (2023).

    • Journals
      World Model 生成モデル

      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).

    • Journals
      AI Application LLM / NLP

      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).

    • Journals
      computer-vision

      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).

    • Press
      AI一般

      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

    • International Conferences
      Reinforcement Learning World Model

      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.

    • International Conferences
      Generative Model World Model

      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.

    • International Conferences Journals
      Brain-Inspired Intelligence

      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