Research

Publications

Category

Research Area

Year

  • Distinct mechanisms of over-representation of landmarks and rewards in the hippocampus

    Masaaki Sato, Kotaro Mizuta, Tanvir Islam, Masako Kawano, Yukiko Sekine, Takashi Takekawa, Daniel Gomez-Dominguez, Alexander Schmidt, Fred Wolf, Karam Kim, Hiroshi Yamakawa, Masamichi Ohkura, Min Goo Lee, Tomoki Fukai, Junichi Nakai, Yasunori Hayashi

    Cell Reports, (2020)

  • Neuro-SERKET:Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

    Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii & Takayuki Nagai, Neuro-SERKET

    New Generation Computing, (2020)

  • Attentional Reinforcement Learning in the Brain

    Hiroshi Yamakawa

    New Generation Computing, doi:10.1007/s00354-019-00081-z, (2020)

  • Cloth-Region Aware Generative Adversarial Networks toword Virtual Try-On System

    久保静真, 岩澤有祐, 鈴木雅大, 松尾豊

    情報処理学会論文誌, Vol.60, No.3, pp.870-879(2019)

  • Fast diversity-aware Twitter spatio-temporal search using pre-search

    落合桂一, 鳥居大祐, 深澤佑介, 松尾豊

    情報処理学会論文誌, Vol.60, No.2, pp.549-560 (2019)

  • Semi-supervised Multimodal Learning with Deep Generative Models

    鈴木雅大, 松尾豊

    情報処理学会論文誌, Vol. 59, No. 12 (2018)

  • Generating Pseudo-Skill Tags by Extension of Deep Knowledge Tracing

    中川大海, 那須野薫, 岩澤有祐, 上野山勝也, 松尾豊

    人工知能学会論文誌, Vol. 33, No. 3 (2018)

  • Quantification of Road Surface Conditions from Wheelchair Sensing Data Using Deep Convolutional Neural Networks

    高橋宏紀, 長峯洸弥, 岩澤有祐, 松尾豊, 矢入郁子

    電子情報通信学会論文誌, Vol.J101-D,No.6,pp.-,Jun. (2018).

  • Predicting the popularity of content using vector representations learned from Wikipedia’s edit history

    野中尚輝, 中山浩太郎, 松尾豊

    電子情報通信学会論文誌(特集号), No.4, pp.657-668 (2018)

  • Shareholder Value Estimation Model Using Ensemble Model with Deep Learning

    田村浩一郎, 上野山勝也, 飯塚修平, 松尾豊

    人工知能学会論文誌, Vol. 33, No. 1 (2017)