Yamato Saikawa

According to our database, Yamato Saikawa authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Efficient Dual Modular Redundancy Units of Convolutional Neural Networks Based on Quantization.

Yamato Saikawa, Yoichi Tomioka, Hiroshi Saito, Yukihide Kohira

IEEE Access, 2026

2025

Fault-Tolerant and Highly Efficient Vision Transformer Models With Approximate TMR Based on Low-Bit Quantization.

Kiyoto Ogawa, Yamato Saikawa, Yoichi Tomioka, Hiroshi Saito

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

An Approximate Dual Modular Redundancy Training Method for CNNs.

Kaho Kageyama, Yamato Saikawa, Yoichi Tomioka, Hiroshi Saito

Proceedings of the 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2025

2024

Approximated Triple Modular Redundancy of Convolutional Neural Networks Based on Residual Quantization.

Yamato Saikawa, Yoichi Tomioka

Proceedings of the 17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2024