Sébastien Henwood

According to our database, Sébastien Henwood authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

2024

Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks.

Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau

IEEE Trans. Signal Process., 2024

MemNAS: Super-net Neural Architecture Search for Memristor-based DNN Accelerators.

Sébastien Henwood, Yvon Savaria, François Leduc-Primeau

Proceedings of the IEEE Workshop on Signal Processing Systemsm, 2024

2022

MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators.

Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2020

Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks.

Sébastien Henwood, François Leduc-Primeau, Yvon Savaria

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Using deep learning approaches to overcome limited dataset issues within semiconductor domain.

Milad Omrani Tamrin, Sébastien Henwood, Jean-François Dubois, Jean-Jules Brault, Saad Chidami, Samuel-Jean Bassetto

Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019