Gouhei Tanaka

According to our database1, Gouhei Tanaka authored at least 39 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory.
IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Echo State Networks with Multi-Span Features for Nonlinear Time Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

HP-ESN: Echo State Networks Combined with Hodrick-Prescott Filter for Nonlinear Time-Series Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Spatial distribution of information effective for logic function learning in spin-wave reservoir computing chip utilizing spatiotemporal physical dynamics.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Recent advances in physical reservoir computing: A review.
Neural Networks, 2019

Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks.
Neurocomputing, 2019

Echo State Networks Composed of Units with Time-Varying Nonlinearity.
Aust. J. Intell. Inf. Process. Syst., 2019

Physical reservoir computing: Possibility to resolve the inconsistency between neuro-AI principles and its hardware.
Aust. J. Intell. Inf. Process. Syst., 2019

In a Spin-Wave Reservoir for Machine Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Analysis on Characteristics of Multi-Step Learning Echo State Networks for Nonlinear Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Application Identification of Network Traffic by Reservoir Computing.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Echo State Network with Adversarial Training.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018
Reservoir Computing With Spin Waves Excited in a Garnet Film.
IEEE Access, 2018

Reservoir Computing with Untrained Convolutional Neural Networks for Image Recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Dimensionality Reduction by Reservoir Computing and Its Application to IoT Edge Computing.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Proposal of Carrier-Wave Reservoir Computing.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Simulation Study of Physical Reservoir Computing by Nonlinear Deterministic Time Series Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Waveform Classification by Memristive Reservoir Computing.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Complex-Valued Neural Networks for Wave-Based Realization of Reservoir Computing.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Dynamics of Reservoir Computing at the Edge of Stability.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

A Hybrid Pooling Method for Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Photonic Reservoir Computing Based on Laser Dynamics with External Feedback.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Computational Performance of Echo State Networks with Dynamic Synapses.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Dynamics of an HBV Model with Drug Resistance Under Intermittent Antiviral Therapy.
Int. J. Bifurc. Chaos, 2015

Wave-based device scaling concept for brain-like energy efficiency and integration.
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015

Regularity and randomness in modular network structures for neural associative memories.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Hopfield-Type Associative Memory with Sparse Modular Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Complex-Valued Neural Networks: Advances and Applications [Book Review].
IEEE Comput. Intell. Mag., 2013

On the analysis of the bifurcation sets of equilibrium points in parameter space.
Proceedings of the European Control Conference, 2013

2012
Dynamical modeling of chronic myeloid leukemia progression and the development of mutations.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2009
Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction.
IEEE Trans. Neural Networks, 2009

Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
A Mathematical Model of Intermittent Androgen Suppression for Prostate Cancer.
J. Nonlinear Sci., 2008

2005
Multistate Associative Memory with Parametrically Coupled Map Networks.
Int. J. Bifurc. Chaos, 2005

2003
Bifurcation Structures of Period-Adding Phenomena in an Ocean Internal Wave Model.
Int. J. Bifurc. Chaos, 2003


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