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François Leduc-Primeau

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A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models

Jan 20, 2024
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux

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SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming

Jan 19, 2024
Ali Hasanzadeh Karkan, Hamed Hojatian, Jean-François Frigon, François Leduc-Primeau

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Learning Energy-Efficient Hardware Configurations for Massive MIMO Beamforming

Aug 11, 2023
Hamed Hojatian, Zoubeir Mlika, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau

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Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators

Nov 18, 2022
Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau

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Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming

Aug 10, 2022
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau

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

May 03, 2022
Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau

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Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering

Sep 03, 2021
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau

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RSSI-Based Hybrid Beamforming Design with Deep Learning

Mar 12, 2020
Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau

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Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks

Dec 23, 2019
Sébastien Henwood, François Leduc-Primeau, Yvon Savaria

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Training Modern Deep Neural Networks for Memory-Fault Robustness

Nov 23, 2019
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon

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