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Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. Lien externe
Dupraz, E., Varshney, L. R., & Leduc-Primeau, F. (octobre 2021). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation [Communication écrite]. IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). Lien externe
Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2021). Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Transactions on Wireless Communications, 20(11), 7086-7099. Lien externe
Kern, J., Dupraz, E., Aissa-El-Bey, A., & Leduc-Primeau, F. (juin 2021). Improving the energy-efficiency of a Kalman filter using unreliable memories [Communication écrite]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont.. Lien externe
Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (août 2021). Towards an Accurate High-Level Energy Model for LDPC Decoders [Communication écrite]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). Lien externe
Zarif, N. E., Montazeri, L., Leduc-Primeau, F., & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185. Lien externe