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 (NEWCAS, 2019)

Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. - Sébastien Henwood; François Leduc-Primeau; Yvon Savaria (AICAS, 2020)

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 (AICAS, 2022)

Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators. - Sébastien Henwood; Gonçalo Mordido; Yvon Savaria; Sarath Chandar; François Leduc-Primeau (IEEECONF, 2024)

MemNAS: Super-net Neural Architecture Search for Memristor-based DNN Accelerators. - Sébastien Henwood; Yvon Savaria; François Leduc-Primeau (SiPS, 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)