Research
研究
研究業績
カテゴリー
研究領域
年
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“Information-theoretic regularization for learning global features by sequential VAE”
Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo
Mach Learn (2021)
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The whole brain architecture approach: Accelerating the developmentof artificial general intelligence by referring to the brain
Hiroshi Yamakawa
Neural Networks (2021)
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Bypassing combinatorial explosions in equivalence structure extraction
Seiya Sato & Hiroshi Yamakawa
Knowledge and Information Systems (2021)
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行動時刻を考慮した条件付き変分オートエンコーダによる推薦システム
保住純,岩澤有祐,松尾豊
人工知能学会論文誌,Vol. 36,No. 3 (2021)
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深層ニューラルネットワークによるクラスと幾何変換の同時分類確率を利用した分布外検知
岡本弘野, 鈴木雅大, 松尾豊
情報処理学会論文誌, Vol.62, No.7, pp.1382-1392 (2021)
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深層ニューラルネットワークの中間層出力を利用した半教師あり分布外検知
岡本弘野, 鈴木雅大, 松尾豊
情報処理学会論文誌, Vol.62, No.4, pp.1142-1151 (2021)
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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)
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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)
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Revealing the computational meaning of neocortical interarea signals
Hiroshi Yamakawa
Frontiers in Computational Neuroscience, Vol.14, No.74 (2020)
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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)