Research

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    • Publications

    Category

    Research Area

    Year

    • International Conferences
      Computer Vision

      Detecting Object-level Scene Changes with Viewpoint Difference using Graph Matching

      Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, Ken Sakurada.

      2021 IEEE International Conference on Robotics and Automation (ICRA2022). May 2021. [paper]

    • International Conferences
      Generative Model Representation Learning Theory

      Group Equivariant Conditional Neural Processes

      Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, and Yutaka Matsuo.

      International Conference on Learning Representations 2021 (ICLR2021).

    • International Conferences
      Reinforcement Learning Robotics

      Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

      Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, and Shixiang Shane Gu.

      International Conference on Learning Representations 2021 (ICLR2021).

    • International Conferences
      LLM / NLP

      Variational Inference for Learning Representations of Natural Language Edits

      Edison Marrese-Taylor, Machel Reid and Yutaka Matsuo.

      The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). February 2021.

    • Awards
      Robotics

      2021 World Robot Competition Service Robot Category Partner Robot Challenge: Second Place

      T. Matsushima et al．

    • International Conferences
      LLM / NLP

      DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video

      Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li and Stephen Gould

      The IEEE Winter Conference on Applications of Computer Vision (WACV). January 2021

    • Invited Lectures
      Generative Model World Model

       Pixyz: a framework for developing deep generative models

      Tutorial on Deep Probabilistic Generative Models for Robotics (IROS2020)

    • Journals
      Robotics

      Modeling Task Uncertainty for Safe Meta-imitation Learning

      Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Yutaka Matsuo

      Frontiers in Robotics and AI, Vol. 7, pp.189,(2020)

    • Journals
      AI Application

      Gravity of Location-based Service: Analyzing the Effects for Mobility Pattern and Location Prediction

      Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo

      Proceedings of the International AAAI Conference on Web and Social Media, 14(1), pp.476-487 (2020)

    • Journals
      Brain-Inspired Intelligence

      Revealing the computational meaning of neocortical interarea signals

      Hiroshi Yamakawa

      Frontiers in Computational Neuroscience, Vol.14, No.74 (2020)