研究者
J-GLOBAL ID:202201006254482578
更新日: 2024年01月30日
井上 克馬
イノウエ カツマ | Inoue Katsuma
所属機関・部署:
職名:
助教
競争的資金等の研究課題 (1件):
- 2020 - 2022 深層学習のダイナミクスを埋め込んだ物理リザバー計算の提案
論文 (13件):
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Kazashi Nakano, Megu Gunji, Masahiro Ikeda, Keung Or, Mitsuhito Ando, Katsuma Inoue, Hiromi Mochiyama, Kohei Nakajima, Ryuma Niiyama, Yasuo Kuniyoshi. “RobOstrich” Manipulator: A Novel Mechanical Design and Control Based on the Anatomy and Behavior of an Ostrich Neck. IEEE Robotics and Automation Letters. 2023. 8. 5. 3062-3069
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Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima. Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware. Nature Communications. 2022. 13. 7847
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Kazutoshi Tanaka, Yuna Minami, Yuji Tokudome, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima. Continuum-Body-Pose Estimation From Partial Sensor Information Using Recurrent Neural Networks. IEEE Robotics and Automation Letters. 2022. 1-8
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Ryo Terajima, Katsuma Inoue, Shogo Yonekura, Kohei Nakajima, Yasuo Kuniyoshi. Behavioral Diversity Generated From Body-Environment Interactions in a Simulated Tensegrity Robot. IEEE Robotics and Automation Letters. 2022. 7. 2. 1597-1604
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Katsuma Inoue, Soh Ohara, Yasuo Kuniyoshi, Kohei Nakajima. Transient chaos in bidirectional encoder representations from transformers. Physical Review Research. 2022
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MISC (2件):
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Mitsumasa Nakajima, Katsuma Inoue, Kenji Tanaka, Yasuo Kuniyoshi, Toshikazu Hashimoto, Kohei Nakajima. Physical Deep Learning with Biologically Plausible Training Method. 2022
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Katsuma Inoue, Soh Ohara, Yasuo Kuniyoshi, Kohei Nakajima. Transient Chaos in BERT. 2021
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