Masato Okada
Affiliations: | The University of Tokyo, Bunkyō-ku, Tōkyō-to, Japan |
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Sign in to add trainee| Masafumi Oizumi | grad student | University of Tokyo | |
| Satohiro Tajima | grad student | University of Tokyo | |
| Hiroki Terashima | grad student | 2009- | University of Tokyo |
| Toshiaki Omori | post-doc | Univ. of Tokyo | |
| Toru Aonishi | research scientist | RIKEN | |
| Keiji Miura | research scientist |
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Publications
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| Gunathilaka MDSH, Kako S, Inui Y, et al. (2023) Effective implementation of [Formula: see text]-regularised compressed sensing with chaotic-amplitude-controlled coherent Ising machines. Scientific Reports. 13: 16140 |
| Kawamura M, Hayashi K, Uezu T, et al. (2019) Statistical mechanical evaluation of a spread-spectrum watermarking model with image restoration. Physical Review. E. 99: 062132 |
| Okada M. (2019) Notions of Associative Memory and Sparse Coding. Neural Networks : the Official Journal of the International Neural Network Society. 9: 1429-1458 |
| 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 |
| Aonishi T, Mimura K, Okada M, et al. (2018) Statistical mechanics of CDMA multiuser detector implemented in coherent Ising machine Journal of Applied Physics. 124: 233102 |
| Aonishi T, Okada M, Mimura K, et al. (2018) Critical memory capacity of Hopfield model implemented in coherent Ising machine Journal of Applied Physics. 124: 152129 |
| Amari SI, Ozeki T, Karakida R, et al. (2017) Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. Neural Computation. 1-33 |
| Umehara H, Okada M, Teramae JN, et al. (2017) Macroscopic neural mass model constructed from a current-based network model of spiking neurons. Biological Cybernetics |
| Aonishi T, Mimura K, Utsunomiya S, et al. (2017) Statistical Mechanics of Coherent Ising Machine — The Case of Ferromagnetic and Finite-Loading Hopfield Models — Journal of the Physical Society of Japan. 86: 104002 |
| Omori T, Sekiguchi T, Okada M. (2017) Belief Propagation for Probabilistic Slow Feature Analysis Journal of the Physical Society of Japan. 86: 84802 |