Research

  • Home
  • Publications

    • Publications

    Category

    Research Area

    Year

    • Journals
      Representation Learning

      Fixing the train-test objective discrepancy: Iterative Image Inpainting for Unsupervised Anomaly Detection

      Hitoshi Nakanishi, Masahiro Suzuki, Yutaka Matuo.

      J-Stage in August Vol.30, (2022).

    • Journals
      Brain-Inspired Intelligence

      Hippocampal formation-inspired probabilistic generative model

      Taniguchi, A., Fukawa, A., & Yamakawa,H

      Neural Networks: The Official Journal of the International Neural Network Society.(2022)

    • Journals
      Brain-Inspired Intelligence

      A whole brain probabilistic generative model: Toward realizingcognitive architectures for developmental robots

      Taniguchi, T., Yamakawa, H., Nagai, T., Doya, K., Sakagami, M., Suzuki, M., Nakamura, T., & Taniguchi, A

      Neural Networks: The Official Journal of the International Neural Network Society.(2022)

    • Journals
      Robotics

      Conveying Intention by Motions With Awareness of Information Asymmetry

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

      Frontiers in Robotics and AI, 9. (2022)

    • Journals
      World Model

      Universal Approximation with Neural Networks on Function Spaces

      Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano

      Journal of Experimental & Theoretical Artificial Intelligence.(2022)

    • Journals

      A survey of multimodal deep generative models

      Masahiro Suzuki, Yutaka Matsuo

      Advanced Robotics.(2022)

    • Journals
      World Model

      Scene Interpretation Method using Transformer and Self-Supervised Learning

      小林 由弥 鈴木 雅大 松尾 豊

      第37巻2号 J-STAGE, (2022)

    • Journals
      AI Application LLM / NLP

      Extracting Sentiment Indicators from Financial Reports by Using LSTM Model

      Yuhki Yamamoto, Keiichi Ochiai, Masahiro Suzuki, Yutaka Matsuo

      情報処理学会論文誌トランザクションデジタルプラクティス (2022)

    • International Conferences
      LLM / NLP

      On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing

      Itsuki Okimura, Machel Reid, Makoto Kawano and Yutaka Matsuo.

      Proceedings of the Third Workshop on Insights from Negative Results in NLP, Online and Dublin, Ireland. Association for Computational Linguistics.

    • International Conferences
      Computer Vision

      Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment

      Takeshi Kojima, Yutaka Matsuo, and Yusuke Iwasawa.

      the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022)