Tamada K., Abe Y., and Asai T., "Resource-efficient streaming architecture for ensemble Kalman filters designed for online learning in physical reservoir computing," Nonlinear Theory and Its Applications, vol. , (2025), in press.
Tatsumi S., Abe Y., Nishida K., and Asai T., "Physical reservoir replication using small-scale digital calibration reservoir," Nonlinear Theory and Its Applications, vol. E15-N, no. 4, pp. 851-860 (2024).
Abe Y., Nakada K., Hagiwara N., Suzuki E., Suda K., Mochizuki S., Terasaki Y., Sasaki T., and Asai T., "Highly-integrable analogue reservoir circuits based on a simple cycle architecture," Scientific Reports, vol. 14, no. 1, 10966 (2024).
Abe Y., Nishida K., Akai-Kasaya M., and Asai T., "High-order polynomial activation function and regenerative internal weights for FPGA implementation of reservoir computing," Nonlinear Theory and Its Applications, vol. E15-N, no. 2, pp. 262-272 (2024).
Matsuno S., Abe Y., Ando K., and Asai T., "Physical reservoir computing on discrete analog CMOS circuits and its application to real data analysis and prediction," IEEE ICRC 2024, Carté Hotel , San Diego, USA (Dec. 16-17, 2024).
Matsuno S., Abe Y., Ando K., and Asai T., "Numerical performance evaluation of analog electronic reservoir circuits with discrete CMOS devices," The 27th SNU-HU Joint Symposium, Seoul National University, Seoul, Korea (Nov. 28, 2024).
Hagiwara N., Abe Y., and Asai T., "Highly-integrable analogue reservoir circuits based on a simple cycle architecture," The 5th International Symposium on Neuromorphic AI Hardware, RIHGA Royal Hotel Kokura, Kitakyushu, Japan (Mar. 1-2, 2024).
Tatsumi S., Abe Y., Nishida K., and Asai T., "Physical reservoirs replication using a small-scale digital calibration reservoir," The 5th International Symposium on Neuromorphic AI Hardware, RIHGA Royal Hotel Kokura, Kitakyushu, Japan (Mar. 1-2, 2024).
Tamada K., Abe Y., and Asai T., "A resource-efficient streaming architecture of ensemble Kalman filters towards online learning for physical reservoir computing," The 5th International Symposium on Neuromorphic AI Hardware, RIHGA Royal Hotel Kokura, Kitakyushu, Japan (Mar. 1-2, 2024).
Abe Y., Nishida K., Akai-Kasaya M., and Asai T., "Reservoir computing with high-order polynomial activation functions and regenerative Internal weights for enhancing nonlinear capacity and hardware resource efficiency," The 2023 International Symposium on Nonlinear Theory and Its Applications (NOLTA2023),, Cittadella Campus of the University, Catania, Italy (Sep. 26-29, 2023).