Research
Publications
Category
Research Area
Year
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Hippocampal formation-inspired probabilistic generative model
Taniguchi, A., Fukawa, A., & Yamakawa,H
Neural Networks: The Official Journal of the International Neural Network Society.(2022)
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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)
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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)
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Universal Approximation with Neural Networks on Function Spaces
Wataru Kumagai, Akiyoshi Sannai, Makoto Kawano
Journal of Experimental & Theoretical Artificial Intelligence.(2022)
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A survey of multimodal deep generative models
Masahiro Suzuki, Yutaka Matsuo
Advanced Robotics.(2022)
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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)
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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)
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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)