Ninnart Fuengfusin

According to our database, Ninnart Fuengfusin authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations.

Ninnart Fuengfusin, Hakaru Tamukoh

CoRR, 2024

Harden Deep Neural Networks Against Fault Injections Through Weight Scaling.

Ninnart Fuengfusin, Hakaru Tamukoh

CoRR, 2024

Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory.

Ninnart Fuengfusin, Hakaru Tamukoh, Osamu Nomura, Takashi Morie

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors.

Ninnart Fuengfusin, Hakaru Tamukoh, Yuichiro Tanaka, Osamu Nomura, Takashi Morie

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

INT8 Activation Ternary or Binary Weights Networks: Unifying Between INT8 and Lower-bit Width Quantization.

Ninnart Fuengfusin, Hakaru Tamukoh

J. Robotics Netw. Artif. Life, 2022

2021

A Sub-Model Detachable Convolutional Neural Network.

Ninnart Fuengfusin, Hakaru Tamukoh

J. Robotics Netw. Artif. Life, 2021

Network with Sub-networks: Layer-wise Detachable Neural Network.

Ninnart Fuengfusin, Hakaru Tamukoh

J. Robotics Netw. Artif. Life, 2021

2019

Network with Sub-Networks.

Ninnart Fuengfusin, Hakaru Tamukoh

CoRR, 2019

2018

Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights.

Ninnart Fuengfusin, Hakaru Tamukoh

Proceedings of the Neural Information Processing - 25th International Conference, 2018