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Daiju Nakano
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2020 – today
- 2023
- [c28]Seiji Takeda, Akihiro Kishimoto, Lisa Hamada, Daiju Nakano, John R. Smith:
Foundation Model for Material Science. AAAI 2023: 15376-15383 - [i5]Akihiro Kishimoto, Hiroshi Kajino, Masataka Hirose, Junta Fuchiwaki, Indra Priyadarsini, Lisa Hamada, Hajime Shinohara, Daiju Nakano, Seiji Takeda:
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network. CoRR abs/2309.16374 (2023) - 2021
- [i4]Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Akihiro Kishimoto, Makoto Kogoh, Takumi Hongo, Kumiko Fujieda, Hideaki Nakashika, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Junta Fuchiwaki, Daiju Nakano:
Molecule Generation Experience: An Open Platform of Material Design for Public Users. CoRR abs/2108.03044 (2021) - 2020
- [j3]Gouhei Tanaka, Ryosho Nakane, Tomoya Takeuchi, Toshiyuki Yamane, Daiju Nakano, Yasunao Katayama, Akira Hirose:
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory. IEEE Trans. Neural Networks Learn. Syst. 31(1): 24-38 (2020) - [c27]Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano:
Molecular Inverse-Design Platform for Material Industries. KDD 2020: 2961-2969 - [i3]Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Toshiyuki Yamane, Koji Masuda, Victoria A. Piunova, Dmitry Zubarev, Jed Pitera, Daniel P. Sanders, Daiju Nakano:
AI-driven Inverse Design System for Organic Molecules. CoRR abs/2001.09038 (2020) - [i2]Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu, Victoria A. Piunova, Dmitry Zubarev, Daniel P. Sanders, Jed W. Pitera, Makoto Kogoh, Takumi Hongo, Yenwei Cheng, Wolf Bocanett, Hideaki Nakashika, Akihiro Fujita, Yuta Tsuchiya, Katsuhiko Hino, Kentaro Yano, Shuichi Hirose, Hiroki Toda, Yasumitsu Orii, Daiju Nakano:
Molecular Inverse-Design Platform for Material Industries. CoRR abs/2004.11521 (2020)
2010 – 2019
- 2019
- [j2]Akira Hirose, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Héroux, Daiju Nakano, Ryosho Nakane, Gouhei Tanaka:
Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware. Aust. J. Intell. Inf. Process. Syst. 16(4): 49-55 (2019) - [j1]Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose:
Recent advances in physical reservoir computing: A review. Neural Networks 115: 100-123 (2019) - 2018
- [c26]Jean Benoit Héroux, Naoki Kanazawa, Daiju Nakano:
Delayed Feedback Reservoir Computing with VCSEL. ICONIP (1) 2018: 594-602 - [c25]Akira Hirose, Gouhei Tanaka, Seiji Takeda, Toshiyuki Yamane, Hidetoshi Numata, Naoki Kanazawa, Jean Benoit Héroux, Daiju Nakano, Ryosho Nakane:
Proposal of Carrier-Wave Reservoir Computing. ICONIP (1) 2018: 616-624 - [c24]Toshiyuki Yamane, Hidetoshi Numata, Jean Benoit Héroux, Naoki Kanazawa, Seiji Takeda, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Daiju Nakano:
Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing. ICONIP (1) 2018: 635-643 - [c23]Jean Benoit Héroux, Hidetoshi Numata, Naoki Kanazawa, Daiju Nakano:
Optoelectronic Reservoir Computing with VCSEL. IJCNN 2018: 1-6 - [i1]Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Héroux, Ryosho Nakane, Naoki Kanazawa, Seiji Takeda, Hidetoshi Numata, Daiju Nakano, Akira Hirose:
Recent Advances in Physical Reservoir Computing: A Review. CoRR abs/1808.04962 (2018) - 2017
- [c22]Akira Hirose, Seiji Takeda, Toshiyuki Yamane, Daiju Nakano, Shigeru Nakagawa, Ryosho Nakane, Gouhei Tanaka:
Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing. ICONIP (4) 2017: 449-456 - [c21]Gouhei Tanaka, Ryosho Nakane, Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Shigeru Nakagawa, Akira Hirose:
Waveform Classification by Memristive Reservoir Computing. ICONIP (4) 2017: 457-465 - [c20]Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Shigeru Nakagawa:
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis. ICONIP (1) 2017: 639-647 - [c19]Jean Benoit Héroux, Hidetoshi Numata, Daiju Nakano:
Polymer Waveguide-Based Reservoir Computing. ICONIP (6) 2017: 840-848 - 2016
- [c18]Gouhei Tanaka, Ryosho Nakane, Toshiyuki Yamane, Daiju Nakano, Seiji Takeda, Shigeru Nakagawa, Akira Hirose:
Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture. ICONIP (1) 2016: 187-194 - [c17]Toshiyuki Yamane, Seiji Takeda, Daiju Nakano, Gouhei Tanaka, Ryosho Nakane, Shigeru Nakagawa, Akira Hirose:
Dynamics of Reservoir Computing at the Edge of Stability. ICONIP (1) 2016: 205-212 - [c16]Seiji Takeda, Daiju Nakano, Toshiyuki Yamane, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Shigeru Nakagawa:
Photonic Reservoir Computing Based on Laser Dynamics with External Feedback. ICONIP (1) 2016: 222-230 - 2015
- [c15]Yasuteru Kohda, Kohji Takano, Daiju Nakano, Nobuyuki Ohba, Toshiyuki Yamane, Yasunao Katayama:
Single-channel full-duplex mmWave link using phased-array for Ethernet. CCNC 2015: 400-405 - [c14]Toshiyuki Yamane, Yasunao Katayama, Ryosho Nakane, Gouhei Tanaka, Daiju Nakano:
Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. ICONIP (3) 2015: 198-205 - [c13]Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane, Yasunao Katayama:
Regularity and randomness in modular network structures for neural associative memories. IJCNN 2015: 1-7 - [c12]Yasunao Katayama, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane, Gouhei Tanaka:
Wave-based device scaling concept for brain-like energy efficiency and integration. NANOARCH 2015: 23-24 - 2014
- [c11]Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane, Yasunao Katayama:
Hopfield-Type Associative Memory with Sparse Modular Networks. ICONIP (1) 2014: 255-262 - [c10]Yasunao Katayama, Toshiyuki Yamane, Daiju Nakano:
An Energy-Efficient Computing Approach by Filling the Connectome Gap. UCNC 2014: 229-241 - [c9]Daiju Nakano, Yasuteru Kohda, Kohji Takano, Nobuyuki Ohba, Toshiyuki Yamane, Yasunao Katayama:
60-GHz single-carrier coherent detection system with robust 16-QAM signal recovery. WCNC 2014: 341-346 - 2012
- [c8]Nobuyuki Ohba, Kohji Takano, Yasuteru Kohda, Daiju Nakano, Toshiyuki Yamane, Yasunao Katayama:
Multimedia content-downloading system using millimeter-wave attached memory. CCNC 2012: 94-98 - [c7]Yasunao Katayama, Toshiyuki Yamane, Yasuteru Kohda, Kohji Takano, Daiju Nakano, Nobuyuki Ohba:
MIMO link design strategy for wireless data center applications. WCNC 2012: 3302-3306 - 2011
- [c6]Daiju Nakano, Yasuteru Kohda, Kohji Takano, Toshiyuki Yamane, Nobuyuki Ohba, Yasunao Katayama:
Multi-Gbps 60-GHz single-carrier system using a low-power coherent detection technique. COOL Chips 2011: 1-3 - [c5]Yasuteru Kohda, Nobuyuki Ohba, Kohji Takano, Daiju Nakano, Toshiyuki Yamane, Yasunao Katayama:
Instant multimedia contents downloading system using a 60-GHZ-2.4-GHZ hybrid wireless link. ICME 2011: 1-6 - [c4]Yasunao Katayama, Kohji Takano, Yasuteru Kohda, Nobuyuki Ohba, Daiju Nakano:
Wireless data center networking with steered-beam mmWave links. WCNC 2011: 2179-2184
2000 – 2009
- 2008
- [c3]Yasunao Katayama, Daiju Nakano, Alberto Valdes-Garcia, Troy J. Beukema, Scott K. Reynolds:
Multi-Gbps wireless systems over 60-GHz SiGe radio link with BW-efficient noncoherent detections. ICME 2008: 513-516 - 2007
- [c2]Yasunao Katayama, Chuck Haymes, Daiju Nakano, Troy J. Beukema, Brian A. Floyd, Scott K. Reynolds, Ullrich R. Pfeiffer, Brian P. Gaucher, Kai Schleupen:
2-Gbps Uncompressed HDTV Transmission over 60-GHz SiGe Radio Link. CCNC 2007: 12-16 - 2006
- [c1]Yasunao Katayama, Daiju Nakano:
Multiple-Packet Recovery Technique using Partially-Overlapped Block Codes. ISIT 2006: 1978-1982
Coauthor Index
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