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ORCIDShunsuke Aoki 0003
Person information
- affiliation: Hosei University, Koganei, Japan
Other persons with the same name
- Shunsuke Aoki — disambiguation page
- Shunsuke Aoki 0001
![[0000-0002-3331-2778]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3331-2778")
— National Institute of Infomatics, Tokyo, Japan (and 4 more) - Shunsuke Aoki 0002 — Kyushu Institute of Technology, Japan
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Journal Articles
- 2019
[j2]Shunsuke Aoki, Seitaro Koyama, Toshimichi Saito:
Theoretical analysis of dynamic binary neural networks with simple sparse connection. Neurocomputing 341: 149-155 (2019)- 2018
- [j1]Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito:
Simple Feature Quantities for Analysis of Periodic Orbits in Dynamic Binary Neural Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(4): 727-730 (2018)
Conference and Workshop Papers
- 2019
- [c5]Shota Anzai, Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito:
Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits. ICONIP (2) 2019: 536-542 - 2018
- [c4]Shunsuke Aoki, Seitaro Koyama, Toshimichi Saito:
FPGA Based Hardware Implementation of Simple Dynamic Binary Neural Networks. ICONIP (7) 2018: 647-655 - [c3]Shunsuke Aoki, Seitaro Koyama, Toshimichi Saito:
Analysis and Implementation of Simple Dynamic Binary Neural Networks. IJCNN 2018: 1-6 - 2017
- [c2]Shunsuke Aoki, Toshimichi Saito:
Stability of Periodic Orbits and Fault Tolerance in Dynamic Binary Neural Networks. ICONIP (3) 2017: 770-778 - [c1]Ryuji Sato, Shunsuke Aoki, Toshimichi Saito:
Connection sparsity versus orbit stability in dynamic binary neural networks. IJCNN 2017: 4482-4487
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