Kakei Yamamoto

According to our database, Kakei Yamamoto authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Can Timing-Based Backpropagation Overcome Single-Spike Restrictions in Spiking Neural Networks?

Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara

Proceedings of the International Joint Conference on Neural Networks, 2024

Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning.

Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems.

Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Sparse-firing regularization methods for spiking neural networks with time-to-first spike coding.

Yusuke Sakemi, Kakei Yamamoto, Takeo Hosomi, Kazuyuki Aihara

CoRR, 2023

2022

Timing-Based Backpropagation in Spiking Neural Networks Without Single-Spike Restrictions.

Kakei Yamamoto, Yusuke Sakemi, Kazuyuki Aihara

CoRR, 2022