Kojima S., Minagawa K., Saito T., Ando K., and Asai T., "Acquisition of physical kinetics of permanent magnet DC motor by reservoir computing," Nonlinear Theory and Its Applications, vol. E15-N, no. 4, pp. 899-909 (2024).
Saito T., Ando K., and Asai T., "Extending binary neural networks to Bayesian neural networks with probabilistic interpretation of binary weights," IEICE Transactions on Information and Systems, vol. E107-D, no. 8, pp. 949-957 (2024).
Saito A., Furudate Y., Kusui Y., Saito T., Akai-Kasaya M., Tanaka Y., Tamasaku K., Kohmura Y., Ishikawa T., Kuwahara Y., and Aono M., "X-ray STM: nanoscale elemental analysis & observation of atomic track ," Microscopy, vol. 63, no. S1, pp. i14-i15 (2014).
国際会議
Minagawa K., Saito T., Kojima S., Ando K., and Asai T., "Out-of-distribution data detection using Bayesian convolutional neural network with variational inference," International Joint Conference on Neural Networks (IJCNN 2024), PACIFICO Yokohama, Yokohama, Japan (Jun. 30-Jul. 5, 2024).
Minagawa K., Saito T., Kojima S., Ando K., and Asai T., "Out-of-distribution detection using Bayesian neural network toward hardware implementation," The 5th International Symposium on Neuromorphic AI Hardware, RIHGA Royal Hotel Kokura, Kitakyushu, Japan (Mar. 1-2, 2024).
Kojima S., Minagawa K., Saito T., Ando K., and Asai T., "Acquisition of physical kinetics of machines by reservoir computing and its applications to anomaly detection," The 12th RIEC International Symposium on Brain Functions and Brain Computer, Research Institute of Electrical Communication, Tohoku University, Sendai, Japan (Feb. 27-28, 2024).