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ORCIDGouhei Tanaka
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2020 – today
- 2024
[j22]Junkai Mao, Yuexing Han
, Gouhei Tanaka, Bing Wang:
Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting. Knowl. Based Syst. 296: 111952 (2024)- [c37]Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Designing Network Topologies of Multiple Reservoir Echo State Networks: A Genetic Algorithm Based Approach. IJCNN 2024: 1-9 - [i10]Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Diffusion model for relational inference. CoRR abs/2401.16755 (2024) - [i9]Shihori Koyama, Daisuke Inoue, Hiroaki Yoshida, Kazuyuki Aihara, Gouhei Tanaka:
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing. CoRR abs/2406.03061 (2024) - 2023
- [j21]Ziqiang Li, Yun Liu, Gouhei Tanaka:
Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction. Appl. Soft Comput. 135: 110021 (2023) - [c36]Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data. ICANN (4) 2023: 13-25 - [c35]Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification. ICONIP (10) 2023: 523-534 - [c34]Jiaxuan Chen, Haotian Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Time-domain Fading Channel Prediction Based on Spin-wave Reservoir Computing. IJCNN 2023: 1-8 - [c33]Hisashi Inoue, Hiroto Tamura, Ai Kitoh, Xiangyu Chen, Zolboo Byambadorj, Takeaki Yajima, Yasushi Hotta, Tetsuya Iizuka, Gouhei Tanaka, Isao H. Inoue:
Long-time-constant leaky-integrating oxygen-vacancy drift-diffusion FET for human-interactive spiking reservoir computing. VLSI Technology and Circuits 2023: 1-2 - [i8]Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka:
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. CoRR abs/2307.01237 (2023) - [i7]Junkai Mao, Yuexing Han, Gouhei Tanaka, Bing Wang:
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting. CoRR abs/2312.00485 (2023) - 2022
- [j20]Takanori Akiyama, Gouhei Tanaka:
Computational Efficiency of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. IEEE Access 10: 28535-28544 (2022) - [j19]Zhiqiang Tong, Ryosho Nakane, Akira Hirose, Gouhei Tanaka:
A Simple Memristive Circuit for Pattern Classification Based on Reservoir Computing. Int. J. Bifurc. Chaos 32(9): 2250141:1-2250141:14 (2022) - [j18]Ziqiang Li, Gouhei Tanaka:
Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction. Neurocomputing 467: 115-129 (2022) - [j17]Xiao Hong, Yuexing Han, Gouhei Tanaka, Bing Wang:
Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses. Knowl. Based Syst. 252: 109413 (2022) - [j16]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j15]Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose:
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2571-2574 (2022) - [c32]Jiaxuan Chen, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Proposal of Film-penetrating Transducers for a Spin-wave Reservoir Computing Chip. IJCNN 2022: 1-7 - [c31]Junya Kato, Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Proposal of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. IJCNN 2022: 1-6 - [i6]Ryosho Nakane, Akira Hirose, Gouhei Tanaka:
Performance enhancement of a spin-wave-based reservoir computing system utilizing different physical conditions. CoRR abs/2209.10123 (2022) - 2021
- [j14]Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
A Numerical Exploration of Signal Detector Arrangement in a Spin-Wave Reservoir Computing Device. IEEE Access 9: 72637-72646 (2021) - [j13]Hiroto Tamura, Gouhei Tanaka:
Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models. Neural Networks 143: 550-563 (2021) - [c30]Ziqiang Li, Gouhei Tanaka:
A Multi-Reservoir Echo State Network with Multiple-Size Input Time Slices for Nonlinear Time-Series Prediction. ICONIP (2) 2021: 28-39 - [c29]Hiroto Tamura, Gouhei Tanaka:
partial-FORCE: A fast and robust online training method for recurrent neural networks. IJCNN 2021: 1-8 - [i5]Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
A numerical exploration of signal detector arrangement in a spin-wave reservoir computing device. CoRR abs/2104.14915 (2021) - [i4]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i3]Gouhei Tanaka, Tadayoshi Matsumori, Hiroaki Yoshida, Kazuyuki Aihara:
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics. CoRR abs/2108.09446 (2021) - [i2]Gouhei Tanaka, Ryosho Nakane:
Simulation platform for pattern recognition based on reservoir computing with memristor networks. CoRR abs/2112.00248 (2021) - 2020
- [j12]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) - [c28]Hiroto Tamura, Gouhei Tanaka:
Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing. ICANN (2) 2020: 459-469 - [c27]Takehiro Ichimura, Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics. IJCNN 2020: 1-8 - [c26]Ziqiang Li, Gouhei Tanaka:
HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction. IJCNN 2020: 1-9 - [c25]Ziqiang Li, Gouhei Tanaka:
Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction. IJCNN 2020: 1-9
2010 – 2019
- 2019
- [j11]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) - [j10]Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Echo State Networks Composed of Units with Time-Varying Nonlinearity. Aust. J. Intell. Inf. Process. Syst. 17(2): 34-39 (2019) - [j9]Zhiqiang Tong, Gouhei Tanaka:
Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks. Neurocomputing 333: 76-85 (2019) - [j8]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) - [c24]Takanori Akiyama, Gouhei Tanaka:
Echo State Network with Adversarial Training. ICANN (Workshop) 2019: 82-88 - [c23]Toshiyuki Yamane, Jean Benoit Héroux, Hidetoshi Numata, Gouhei Tanaka, Ryosho Nakane, Akira Hirose:
Application Identification of Network Traffic by Reservoir Computing. ICONIP (5) 2019: 389-396 - [c22]Takanori Akiyama, Gouhei Tanaka:
Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction. IJCNN 2019: 1-8 - [c21]Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
In a Spin-Wave Reservoir for Machine Learning. IJCNN 2019: 1-9 - 2018
- [j7]Ryosho Nakane, Gouhei Tanaka, Akira Hirose:
Reservoir Computing With Spin Waves Excited in a Garnet Film. IEEE Access 6: 4462-4469 (2018) - [c20]Daiki Ito, Raku Shirasawa, Shinnosuke Hattori, Shigetaka Tomiya, Gouhei Tanaka:
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints. ICONIP (5) 2018: 26-34 - [c19]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 - [c18]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 - [c17]Zhiqiang Tong, Gouhei Tanaka:
Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition. ICPR 2018: 1289-1294 - [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
- [c16]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 - [c15]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 - [c14]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 - 2016
- [c13]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 - [c12]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 - [c11]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 - [c10]Ryota Mori, Gouhei Tanaka, Ryosho Nakane, Akira Hirose, Kazuyuki Aihara:
Computational Performance of Echo State Networks with Dynamic Synapses. ICONIP (1) 2016: 264-271 - [c9]Zhiqiang Tong, Kazuyuki Aihara, Gouhei Tanaka:
A Hybrid Pooling Method for Convolutional Neural Networks. ICONIP (2) 2016: 454-461 - 2015
- [j6]Ben-gong Zhang, Gouhei Tanaka, Kazuyuki Aihara, Masao Honda, Shuichi Kaneko, Luonan Chen:
Dynamics of an HBV Model with Drug Resistance Under Intermittent Antiviral Therapy. Int. J. Bifurc. Chaos 25(7): 1540011:1-1540011:12 (2015) - [c8]Toshiyuki Yamane, Yasunao Katayama, Ryosho Nakane, Gouhei Tanaka, Daiju Nakano:
Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators. ICONIP (3) 2015: 198-205 - [c7]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 - [c6]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
- [c5]Gouhei Tanaka, Toshiyuki Yamane, Daiju Nakano, Ryosho Nakane, Yasunao Katayama:
Hopfield-Type Associative Memory with Sparse Modular Networks. ICONIP (1) 2014: 255-262 - 2013
- [j5]Gouhei Tanaka:
Complex-Valued Neural Networks: Advances and Applications [Book Review]. IEEE Comput. Intell. Mag. 8(2): 77-79 (2013) - [c4]Graziano Chesi, Gouhei Tanaka, Yoshito Hirata, Kazuyuki Aihara:
On the analysis of the bifurcation sets of equilibrium points in parameter space. ECC 2013: 670-675 - 2012
- [c3]Ben-gong Zhang, Gouhei Tanaka, Luonan Chen, Kazuyuki Aihara:
Dynamical modeling of chronic myeloid leukemia progression and the development of mutations. BIBM Workshops 2012: 130-135
2000 – 2009
- 2009
- [j4]Gouhei Tanaka, Kazuyuki Aihara:
Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction. IEEE Trans. Neural Networks 20(9): 1463-1473 (2009) - [c2]Gouhei Tanaka, Kazuyuki Aihara:
Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks. ICONIP (1) 2009: 484-493 - 2008
- [j3]Aiko Miyamura Ideta, Gouhei Tanaka, Takumi Takeuchi, Kazuyuki Aihara:
A Mathematical Model of Intermittent Androgen Suppression for Prostate Cancer. J. Nonlinear Sci. 18(6): 593-614 (2008) - [c1]Gouhei Tanaka, Kazuyuki Aihara:
Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction. IJCNN 2008: 3086-3092 - 2005
- [j2]Gouhei Tanaka, Kazuyuki Aihara:
Multistate Associative Memory with Parametrically Coupled Map Networks. Int. J. Bifurc. Chaos 15(4): 1395-1410 (2005) - 2003
- [j1]Gouhei Tanaka, Sunao Murashige, Kazuyuki Aihara:
Bifurcation Structures of Period-Adding Phenomena in an Ocean Internal Wave Model. Int. J. Bifurc. Chaos 13(11): 3409-3424 (2003)
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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