| Reservoir computing beyond memory-nonlinearity trade-off M Inubushi, K Yoshimura Scientific reports 7 (1), 10199, 2017 | 234 | 2017 |
| Compact reservoir computing with a photonic integrated circuit K Takano, C Sugano, M Inubushi, K Yoshimura, S Sunada, K Kanno, ... Optics express 26 (22), 29424-29439, 2018 | 166 | 2018 |
| Real-time fast physical random number generator with a photonic integrated circuit K Ugajin, Y Terashima, K Iwakawa, A Uchida, T Harayama, K Yoshimura, ... Optics express 25 (6), 6511-6523, 2017 | 87 | 2017 |
| Common-signal-induced synchronization in photonic integrated circuits and its application to secure key distribution T Sasaki, I Kakesu, Y Mitsui, D Rontani, A Uchida, S Sunada, ... Optics Express 25 (21), 26029-26044, 2017 | 52 | 2017 |
| Transfer learning for nonlinear dynamics and its application to fluid turbulence M Inubushi, S Goto Physical Review E 102 (4), 043301, 2020 | 44 | 2020 |
| Covariant Lyapunov analysis of chaotic Kolmogorov flows M Inubushi, MU Kobayashi, S Takehiro, M Yamada Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (1 …, 2012 | 34 | 2012 |
| Regeneration cycle and the covariant Lyapunov vectors in a minimal wall turbulence M Inubushi, S Takehiro, M Yamada Physical review E 92 (2), 023022, 2015 | 31 | 2015 |
| Random number generation from intermittent optical chaos AK Dal Bosco, N Sato, Y Terashima, S Ohara, A Uchida, T Harayama, ... IEEE Journal of Selected Topics in Quantum Electronics 23 (6), 1-8, 2017 | 24 | 2017 |
| On the characteristics and structures of dynamical systems suitable for reservoir computing M Inubushi, K Yoshimura, Y Ikeda, Y Nagasawa Reservoir computing: theory, physical implementations, and applications, 97-116, 2021 | 21 | 2021 |
| Dynamics versus feedback delay time in photonic integrated circuits: Mapping the short cavity regime AK Dal Bosco, S Ohara, N Sato, Y Akizawa, A Uchida, T Harayama, ... IEEE Photonics Journal 9 (2), 1-12, 2017 | 21 | 2017 |
| Fluid mixing optimization with reinforcement learning M Konishi, M Inubushi, S Goto Scientific reports 12 (1), 14268, 2022 | 16 | 2022 |
| Common-signal-induced synchronization in semiconductor lasers with broadband optical noise signal N Suzuki, T Hida, M Tomiyama, A Uchida, K Yoshimura, K Arai, ... IEEE Journal of Selected Topics in Quantum Electronics 23 (6), 1-10, 2017 | 14 | 2017 |
| Effect of bandwidth limitation of optical noise injection on common-signal-induced synchronization in multi-mode semiconductor lasers M Tomiyama, K Yamasaki, K Arai, M Inubushi, K Yoshimura, A Uchida Optics express 26 (10), 13521-13535, 2018 | 12 | 2018 |
| Covariant Lyapunov analysis of chaotic Kolmogorov flows and time-correlation function M Inubushi, MU Kobayashi, S Takehiro, M Yamada Procedia IUTAM 5, 244-248, 2012 | 11 | 2012 |
| Coherently driven ultrafast complex-valued photonic reservoir computing M Nakajima, M Inubushi, T Goh, T Hashimoto CLEO: Science and Innovations, SM1C. 4, 2018 | 10 | 2018 |
| Dynamics-dependent synchronization in on-chip coupled semiconductor lasers S Ohara, AK Dal Bosco, K Ugajin, A Uchida, T Harayama, M Inubushi Physical Review E 96 (3), 032216, 2017 | 10 | 2017 |
| Unpredictability and robustness of chaotic dynamics for physical random number generation M Inubushi Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (3), 2019 | 9 | 2019 |
| Physical implementation of oblivious transfer using optical correlated randomness T Ito, H Koizumi, N Suzuki, I Kakesu, K Iwakawa, A Uchida, T Koshiba, ... Scientific reports 7 (1), 8444, 2017 | 9 | 2017 |
| Transferring reservoir computing: Formulation and application to fluid physics M Inubushi, S Goto Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 8 | 2019 |
| Characterizing small-scale dynamics of navier-stokes turbulence with transverse lyapunov exponents: A data assimilation approach M Inubushi, Y Saiki, MU Kobayashi, S Goto Physical review letters 131 (25), 254001, 2023 | 7 | 2023 |