Takashi Nagata - researchr alias

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Viewing Publication 1 - 17 from 17

2023

Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularizationJinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar. NN, 161:228-241, April 2023. [doi]

2022

Uncertainty Aware Model Integration on Reinforcement LearningTakashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci. ijcnn 2022: 1-7 [doi]

2021

Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationJinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar. AAAI 2021: 10452-10459 [doi]

2019

How Does the Recently Discovered Peptide MIP Exhibit Much Higher Binding Affinity than an Anticancer Protein p53 for an Oncoprotein MDM2?Tatsuya Yamada, Tomohiko Hayashi, Simon Hikiri, Naohiro Kobayashi, Hiroshi Yanagawa, Mitsunori Ikeguchi, Masato Katahira, Takashi Nagata, Masahiro Kinoshita. jcisd, 59(8):3533-3544, 2019. [doi]

2018

Noise peak filtering in multi-dimensional NMR spectra using convolutional neural networksNaohiro Kobayashi, Yoshikazu Hattori, Takashi Nagata, Shoko Shinya, Peter Güntert, Chojiro Kojima, Toshimichi Fujiwara. bioinformatics, 34(24):4300-4301, 2018. [doi]

2016

2013

Cooperatively Searching Objects Based on Mobile AgentsTakashi Nagata, Munehiro Takimoto, Yasushi Kambayashi. tcci, 11:119-136, 2013. [doi]

2010

Smooth Local Interpolation of Surfaces Using Normal VectorsTakashi Nagata. jam, 2010, 2010. [doi]

2009

Suppressing the Total Costs of Executing Tasks Using Mobile AgentsTakashi Nagata, Munehiro Takimoto, Yasushi Kambayashi. hicss 2009: 1-10 [doi]

Robust engine torque control by iterative learning controlTakashi Nagata, Masayoshi Tomizuka. amcc 2009: 2064-2069 [doi]

2005

Simple local interpolation of surfaces using normal vectorsTakashi Nagata. cagd, 22(4):327-347, 2005. [doi]

2004

Electric Direct-drive Stepping Motor for RobotsTakashi Nagata, Koichi Suzumori, Takefumi Kanda, Kazuo Uzuka, Isao Enomoto. icra 2004: 4492-4497 [doi]

Development of Electromagnetic Nutation Motor (Electromagnetic Investigation)Koichi Suzumori, Takashi Nagata, Takefumi Kanda, Kazuo Uzuka, Isao Enomoto. jrm, 16(3):327-332, 2004. [doi]

1996

Automatic layout recycling based on layout description and linear programmingYuji Shigehiro, Takashi Nagata, Isao Shirakawa, Itthichai Arungsrisangchai, Hiromitsu Takahashi. tcad, 15(8):959-967, 1996. [doi]

1993

Optimal layout recycling based on graph theoretic linear programming approachYuji Shigehiro, Takashi Nagata, Isao Shirakawa, Takashi Kambe. vlsi 1994: 25-34

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