Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions. - Kakei Yamamoto; Yusuke Sakemi; Kazuyuki Aihara (CoRR, 2022)

Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding. - Yusuke Sakemi; Kakei Yamamoto; Takeo Hosomi; Kazuyuki Aihara (CoRR, 2023)

Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. - Juno Kim; Kakei Yamamoto; Kazusato Oko; Zhuoran Yang; Taiji Suzuki (ICLR, 2024)

Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning. - Kakei Yamamoto; Kazusato Oko; Zhuoran Yang; Taiji Suzuki (ICML, 2024)

Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks? - Kakei Yamamoto; Yusuke Sakemi; Kazuyuki Aihara (IJCNN, 2024)