Shun-ichi Amari
Affiliations: | RIKEN |
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"Shun-ichi Amari"Mean distance: 14.21 (cluster 17)
Children
Sign in to add trainee| Kenji Doya | research assistant | 1990-1991 | University of Tokyo |
| HaDi MaBouDi | grad student | IPM | |
| Taro Toyoizumi | grad student | RIKEN BSI | |
| Wakako Nakamura | post-doc | RIKEN | |
| Masafumi Oizumi | post-doc | RIKEN | |
| Si Wu | post-doc | Brain Science Institute, RIKEN | |
| Masami Tatsuno | post-doc | 1999-2002 | RIKEN BSI |
| Kosuke Hamaguchi | post-doc | 2004-2008 | RIKEN |
| Keiji Miura | research scientist | ||
| Shigeru Shinomoto | research scientist |
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Publications
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| Amari SI. (2020) Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. Neural Computation. 1-17 |
| Ito S, Oizumi M, Amari S. (2020) Unified framework for the entropy production and the stochastic interaction based on information geometry Physical Review Research. 2 |
| Amari SI, Karakida R, Oizumi M, et al. (2019) Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. Neural Computation. 1-22 |
| Amari S, Karakida R, Oizumi M. (2019) Statistical neurodynamics of deep networks: geometry of signal spaces Nonlinear Theory and Its Applications, Ieice. 10: 322-336 |
| Yoshida Y, Karakida R, Okada M, et al. (2019) Statistical mechanical analysis of learning dynamics of two-layer perceptron with multiple output units Journal of Physics a: Mathematical and Theoretical. 52: 184002 |
| Kass RE, Amari SI, Arai K, et al. (2018) Computational Neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application. 5: 183-214 |
| Zhang L, Yi Z, Amari SI. (2018) Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. Ieee Transactions On Neural Networks and Learning Systems |
| Amari S, Karakida R, Oizumi M. (2018) Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem Information Geometry. 1: 13-37 |
| Amari SI, Ozeki T, Karakida R, et al. (2017) Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. Neural Computation. 1-33 |
| Yoshida Y, Karakida R, Okada M, et al. (2017) Statistical Mechanical Analysis of Online Learning with Weight Normalization in Single Layer Perceptron Journal of the Physical Society of Japan. 86: 044002 |