A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. - François Leduc-Primeau; Saied Hemati; Warren J. Gross; Shie Mannor (GLOBECOM, 2009)

Lowering Error Floors Using Dithered Belief Propagation. - François Leduc-Primeau; Saied Hemati; Shie Mannor; Warren J. Gross (GLOBECOM, 2010)

Faulty Gallager-B decoding with optimal message repetition. - François Leduc-Primeau; Warren J. Gross (Allerton Conference, 2012)

High-throughput LDPC decoding using the RHS algorithm. - François Leduc-Primeau; Alexandre J. Raymond; Pascal Giard; Kevin Cushon; Claude Thibeault; Warren J. Gross (DASIP, 2012)

Dithered Belief Propagation Decoding. - François Leduc-Primeau; Saied Hemati; Shie Mannor; Warren J. Gross (IEEE Trans. Commun., 2012)

Relaxed Half-Stochastic Belief Propagation. - François Leduc-Primeau; Saied Hemati; Shie Mannor; Warren J. Gross (IEEE Trans. Commun., 2013)

Cluster-based associative memories built from unreliable storage. - François Leduc-Primeau; Vincent Gripon; Michael G. Rabbat; Warren J. Gross (ICASSP, 2014)

Energy optimization of LDPC decoder circuits with timing violations. - François Leduc-Primeau; Frank R. Kschischang; Warren J. Gross (ICC, 2015)

Stochastic implementation of the disparity energy model for depth perception. - Kaushik Boga; Naoya Onizawa; François Leduc-Primeau; Kazumichi Matsumiya; Takahiro Hanyu; Warren J. Gross (SiPS, 2015)

Stall pattern avoidance in polynomial product codes. - Carlo Condo; François Leduc-Primeau; Gabi Sarkis; Pascal Giard; Warren J. Gross (GlobalSIP, 2016)

Hardware implementation of FIR/IIR digital filters using integral stochastic computation. - Arash Ardakani; François Leduc-Primeau; Warren J. Gross (ICASSP, 2016)

VLSI implementation of deep neural networks using integral stochastic computing. - Arash Ardakani; François Leduc-Primeau; Naoya Onizawa; Takahiro Hanyu; Warren J. Gross (ISTC, 2016)

Finite-length quasi-synchronous LDPC decoders. - François Leduc-Primeau; Warren J. Gross (ISTC, 2016)

A 9.96 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture. - Carlo Condo; Pascal Giard; François Leduc-Primeau; Gabi Sarkis; Warren J. Gross (CoRR, 2016)

A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. - Saied Hemati; François Leduc-Primeau; Warren J. Gross (IEEE Commun. Lett., 2016)

Fault-Tolerant Associative Memories Based on c-Partite Graphs. - François Leduc-Primeau; Vincent Gripon; Michael G. Rabbat; Warren J. Gross (IEEE Trans. Signal Process., 2016)

A Study of Deep Learning Robustness Against Computation Failures. - Jean-Charles Vialatte; François Leduc-Primeau (CoRR, 2017)

VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. - Arash Ardakani; François Leduc-Primeau; Naoya Onizawa; Takahiro Hanyu; Warren J. Gross (IEEE Trans. Very Large Scale Integr. Syst., 2017)

A Block FBMC Receiver Designed for Short Filters. - Jérémy Nadal; François Leduc-Primeau; Charbel Abdel Nour; Amer Baghdadi (ICC, 2018)

Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design. - Elsa Dupraz; François Leduc-Primeau; François Gagnon (ISTC, 2018)

A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. - Carlo Condo; Pascal Giard; François Leduc-Primeau; Gabi Sarkis; Warren J. Gross (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. - François Leduc-Primeau; Frank R. Kschischang; Warren J. Gross (IEEE Trans. Commun., 2018)

A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. - Kaushik Boga; François Leduc-Primeau; Naoya Onizawa; Kazumichi Matsumiya; Takahiro Hanyu; Warren J. Gross (J. Signal Process. Syst., 2018)

Training Modern Deep Neural Networks for Memory-Fault Robustness. - Ghouthi Boukli Hacene; François Leduc-Primeau; Amal Ben Soussia; Vincent Gripon; François Gagnon (ISCAS, 2019)

Optimization of Protograph LDPC Codes based on High-Level Energy Models. - Mohamed Yaoumi; François Leduc-Primeau; Elsa Dupraz; Frédéric Guilloud (ISWCS, 2019)

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

RSSI-Based Hybrid Beamforming Design with Deep Learning. - Hamed Hojatian; Vu Nguyen Ha; Jérémy Nadal; Jean-François Frigon; François Leduc-Primeau (ICC, 2020)

A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder. - Jérémy Nadal; Mickaël Fiorentino; Elsa Dupraz; François Leduc-Primeau (NEWCAS, 2020)

Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. - Mohamed Yaoumi; Elsa Dupraz; François Leduc-Primeau; Frédéric Guilloud (Ann. des Télécommunications, 2020)

Overlap-Save FBMC Receivers. - Jérémy Nadal; François Leduc-Primeau; Charbel Abdel Nour; Amer Baghdadi (IEEE Trans. Wirel. Commun., 2020)

Improving the Energy-Efficiency of a Kalman Filter Using Unreliable Memories. - Jonathan Kern; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; François Leduc-Primeau (ICASSP, 2021)

Towards an Accurate High-Level Energy Model for LDPC Decoders. - Jérémy Nadal; Simon Brown; Elsa Dupraz; François Leduc-Primeau (ISTC, 2021)

Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. - Elsa Dupraz; Lav R. Varshney; François Leduc-Primeau (ITW, 2021)

Mobile-Optimized Facial Expression Recognition Techniques. - Nizar El Zarif; Leila Montazeri; François Leduc-Primeau; Mohamad Sawan (IEEE Access, 2021)

Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network. - Hamed Hojatian; Jérémy Nadal; Jean-François Frigon; François Leduc-Primeau (CoRR, 2021)

Noisy Density Evolution With Asymmetric Deviation Models. - Elsa Dupraz; François Leduc-Primeau (IEEE Trans. Commun., 2021)

Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. - Hamed Hojatian; Jérémy Nadal; Jean-François Frigon; François Leduc-Primeau (IEEE Trans. Wirel. Commun., 2021)

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)

Single-Minimum LDPC Decoding Offset Optimization Methods. - Daniel B. Dermont; Jérémy Nadal; François Leduc-Primeau (CWIT, 2022)

Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. - Yang Zhang; Yvon Savaria; Shiqi Zhao; Gonçalo Mordido; Mohamad Sawan; François Leduc-Primeau (EMBC, 2022)

Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. - Hamed Hojatian; Jérémy Nadal; Jean-François Frigon; François Leduc-Primeau (GLOBECOM, 2022)

Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. - Gonçalo Mordido; Sarath Chandar; François Leduc-Primeau (CoRR, 2022)

Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning. - Hamed Hojatian; Jérémy Nadal; Jean-François Frigon; François Leduc-Primeau (IEEE Commun. Lett., 2022)

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. - Jonathan Kern; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; Lav R. Varshney; François Leduc-Primeau (Sensors, 2022)

Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. - MohammadHossein AskariHemmat; Théo Dupuis; Yoan Fournier; Nizar El Zarif; Matheus A. Cavalcante; Matteo Perotti; Frank K. Gürkaynak; Luca Benini; François Leduc-Primeau; Yvon Savaria; Jean-Pierre David (ISCAS, 2023)

Low-Activity Gallager-B LDPC Decoding. - Simon Brown; Jérémy Nadal; François Leduc-Primeau (ISTC, 2023)

Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. - Jérémy Nadal; Mohamed Yaoumi; Elsa Dupraz; Frédéric Guilloud; François Leduc-Primeau (ISTC, 2023)

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. - Théo Dupuis; Yoan Fournier; MohammadHossein AskariHemmat; Nizar El Zarif; François Leduc-Primeau; Jean-Pierre David; Yvon Savaria (NEWCAS, 2023)

Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. - Kamran Chitsaz; Gonçalo Mordido; Jean-Pierre David; François Leduc-Primeau (Trans. Mach. Learn. Res., 2023)

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)

MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks. - Elisabeth Humblet; Théo Dupuis; Yoan Fournier; MohammadHossein AskariHemmat; François Leduc-Primeau; Jean-Pierre David; Yvon Savaria (MWSCAS, 2024)

$ mathcal{S}^{3}$1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables. - Yang Zhang; Yvon Savaria; Mohamad Sawan; François Leduc-Primeau (NewCAS, 2024)

MemNAS: Super-net Neural Architecture Search for Memristor-based DNN Accelerators. - Sébastien Henwood; Yvon Savaria; François Leduc-Primeau (SiPS, 2024)

Fast Energy Optimization of On-Chip ECC Memories. - Shahriar Rohman; François Leduc-Primeau (SiPS, 2024)

Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks. - Zoubeir Mlika; Tri Nhu Do; Adel Larabi; Jennie Diem Vo; Jean-François Frigon; François Leduc-Primeau (VTC Fall, 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)

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. - Reda Bensaid; Vincent Gripon; François Leduc-Primeau; Lukas Mauch; Ghouthi Boukli Hacene; Fabien Cardinaux (Trans. Mach. Learn. Res., 2025)

A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites. - Ali Hasanzadeh Karkan; Ahmed Ibrahim; Jean-François Frigon; François Leduc-Primeau (CoRR, 2025)

Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding. - Ghazal Kasalaee; Ali Hasanzadeh Karkan; Jean-François Frigon; François Leduc-Primeau (CoRR, 2025)

A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff. - Jérôme Emery; Ali Hasanzadeh Karkan; Jean-François Frigon; François Leduc-Primeau (CoRR, 2025)