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    Year

    • 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)

    • JSAI2018 Excellence Award: “Improving Robustness to Long Action Sequences by Partitioning into Subtasks and Predicting Abstracted Actions in Instruction Following.”

      篠田 一聡,竹澤 祐貴,鈴木 雅大,岩澤 有祐,松尾 豊

    • Dec 2020 RoboCup Japan Open @ Home DSPL League, 2nd Place

      T. Matsushima et al.

    • December 2020 RoboCup Japan Open @ Home DSPL League, Technical Challenge Winner

      T. Matsushima et al.

    • JSAI2020 Award for Excellence in Oral Presentation, International Session: “Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment”

      Goh Sato, Takumi Watanabe, Yusuke Iwasawa, Ikuko Eguchi Yairi,

    • JSAI2020 Student Incentive Award, “Continuous Learning Based on Amortized Reasoning.”

      川島 寛乃,河野 慎,熊谷 亘, 松井 孝太,中澤 仁

    • Pixyz: a framework for developing complex deep generative models

      Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics (IROS2019)

    • 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)