Spectral Pruning for Recurrent Neural Networks. - Takashi Furuya; Kazuma Suetake; Koichi Taniguchi; Hiroyuki Kusumoto; Ryuji Saiin; Tomohiro Daimon (AISTATS, 2022)

S2NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks. - Kazuma Suetake; Shin-ichi Ikegawa; Ryuji Saiin; Yoshihide Sawada (CoRR, 2022)

Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. - Shin-ichi Ikegawa; Ryuji Saiin; Yoshihide Sawada; Naotake Natori (Sensors, 2022)

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. - Kazuma Suetake; Takuya Ushimaru; Ryuji Saiin; Yoshihide Sawada (CoRR, 2023)

S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks. - Kazuma Suetake; Shin-ichi Ikegawa; Ryuji Saiin; Yoshihide Sawada (Neural Networks, 2023)

Magic for the Age of Quantized DNNs. - Yoshihide Sawada; Ryuji Saiin; Kazuma Suetake (CoRR, 2024)

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. - Ryuji Saiin; Tomoya Shirakawa; Sota Yoshihara; Yoshihide Sawada; Hiroyuki Kusumoto (Trans. Mach. Learn. Res., 2024)

Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. - Kazuma Suetake; Takuya Ushimaru; Ryuji Saiin; Yoshihide Sawada (Trans. Mach. Learn. Res., 2024)