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2020 – today
- 2023
[j8]Jinwei Xing
, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023)- 2022
- [c9]Takashi Nagata, Jinwei Xing, Tsutomu Kumazawa, Emre Neftci:
Uncertainty Aware Model Integration on Reinforcement Learning. IJCNN 2022: 1-7 - [i2]Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability. CoRR abs/2205.08685 (2022) - 2021
- [c8]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI 2021: 10452-10459 - [i1]Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. CoRR abs/2102.05714 (2021)
2010 – 2019
- 2019
- [j7]Tatsuya Yamada, Tomohiko Hayashi, Simon Hikiri, Naohiro Kobayashi, Hiroshi Yanagawa, Mitsunori Ikeguchi, Masato Katahira, Takashi Nagata, Masahiro Kinoshita:
How Does the Recently Discovered Peptide MIP Exhibit Much Higher Binding Affinity than an Anticancer Protein p53 for an Oncoprotein MDM2? J. Chem. Inf. Model. 59(8): 3533-3544 (2019) - 2018
- [j6]Naohiro Kobayashi, Yoshikazu Hattori, Takashi Nagata, Shoko Shinya, Peter Güntert, Chojiro Kojima, Toshimichi Fujiwara:
Noise peak filtering in multi-dimensional NMR spectra using convolutional neural networks. Bioinform. 34(24): 4300-4301 (2018) - 2016
- [c7]Takashi Nagata, Naoteru Nakamura, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara:
VO2 estimation using 6-axis motion sensor with sports activity classification. EMBC 2016: 4735-4738 - [c6]Naoteru Nakamura, Takashi Nagata, Masato Miyatake, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara:
Applying neural network to VO2 estimation using 6-axis motion sensing data. EMBC 2016: 4739-4742 - [c5]Masato Miyatake, Naoteru Nakamura, Takashi Nagata, Akira Yuuki, Hiroyuki Yomo, Takashi Kawabata, Shinsuke Hara:
VO2 estimation using 6-axis motion sensing data. ISMICT 2016: 1-4 - 2013
- [j5]Takashi Nagata, Munehiro Takimoto, Yasushi Kambayashi:
Cooperatively Searching Objects Based on Mobile Agents. Trans. Comput. Collect. Intell. 11: 119-136 (2013) - 2010
- [j4]Takashi Nagata:
Smooth Local Interpolation of Surfaces Using Normal Vectors. J. Appl. Math. 2010: 952420:1-952420:24 (2010)
2000 – 2009
- 2009
- [c4]Takashi Nagata, Masayoshi Tomizuka:
Robust engine torque control by iterative learning control. ACC 2009: 2064-2069 - [c3]Takashi Nagata, Munehiro Takimoto, Yasushi Kambayashi:
Suppressing the Total Costs of Executing Tasks Using Mobile Agents. HICSS 2009: 1-10 - 2005
- [j3]Takashi Nagata:
Simple local interpolation of surfaces using normal vectors. Comput. Aided Geom. Des. 22(4): 327-347 (2005) - 2004
- [j2]Koichi Suzumori, Takashi Nagata, Takefumi Kanda, Kazuo Uzuka, Isao Enomoto:
Development of Electromagnetic Nutation Motor (Electromagnetic Investigation). J. Robotics Mechatronics 16(3): 327-332 (2004) - [c2]Takashi Nagata, Koichi Suzumori, Takefumi Kanda, Kazuo Uzuka, Isao Enomoto:
Electric Direct-drive Stepping Motor for Robots. ICRA 2004: 4492-4497
1990 – 1999
- 1996
- [j1]Yuji Shigehiro, Takashi Nagata, Isao Shirakawa, Itthichai Arungsrisangchai, Hiromitsu Takahashi:
Automatic layout recycling based on layout description and linear programming. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(8): 959-967 (1996) - 1993
- [c1]Yuji Shigehiro, Takashi Nagata, Isao Shirakawa, Takashi Kambe:
Optimal layout recycling based on graph theoretic linear programming approach. VLSI 1993: 25-34
Coauthor Index
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