François Leduc-Primeau

81 papers B 5C 2Misc 3Journal 44Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding. CoRR Ali Hasanzadeh Karkan, Ahmed Ibrahim, Jean-François Frigon, François Leduc-Primeau
2026	J	`jnl`	MUKA: Multi Kernel Audio Adaptation Of Audio-Language Models. CoRR Reda Bensaid, Amine Ouasfi, Yassir Bendou, Ilyass Moummad, Vincent Gripon, François Leduc-Primeau, Adnane Boukhayma
2025	B	`conf`	A Foundation Model for Massive MIMO Precoding with an Adaptive Per-User Rate-Power Tradeoff. PIMRC Jérôme Emery, Ali Hasanzadeh Karkan, Jean-François Frigon, François Leduc-Primeau
2025	J	`jnl`	A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff. CoRR Jérôme Emery, Ali Hasanzadeh Karkan, Jean-François Frigon, François Leduc-Primeau
2025	J	`jnl`	A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites. CoRR Ali Hasanzadeh Karkan, Ahmed Ibrahim, Jean-François Frigon, François Leduc-Primeau
2025	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. Trans. Mach. Learn. Res. Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2025	—	`conf`	Channel Coding for Binary Neural Networks Implemented with Noisy Memristor Crossbars. ISTC Elsa Dupraz, François Leduc-Primeau
2025	J	`jnl`	Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding. CoRR Ghazal Kasalaee, Ali Hasanzadeh Karkan, Jean-François Frigon, François Leduc-Primeau
2025	J	`jnl`	TensLoRA: Tensor Alternatives for Low-Rank Adaptation. CoRR Axel Marmoret, Reda Bensaid, Jonathan Lys, Vincent Gripon, François Leduc-Primeau
2024	—	`conf`	$\mathcal{S}^{3}$1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables. NewCAS Yang Zhang, Yvon Savaria, Mohamad Sawan, François Leduc-Primeau
2024	J	`jnl`	A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
2024	—	`conf`	Fast Energy Optimization of On-Chip ECC Memories. SiPS Shahriar Rohman, François Leduc-Primeau
2024	J	`jnl`	Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Trans. Signal Process. Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2024	—	`conf`	MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks. MWSCAS Elisabeth Humblet, Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
2024	—	`conf`	MemNAS: Super-net Neural Architecture Search for Memristor-based DNN Accelerators. SiPS Sébastien Henwood, Yvon Savaria, François Leduc-Primeau
2024	—	`conf`	Online Energy-Efficient Beam Bandwidth Partitioning in mmWave Mobile Networks. VTC Fall Zoubeir Mlika, Tri Nhu Do, Adel Larabi, Jennie Diem Vo, Jean-François Frigon, François Leduc-Primeau
2024	—	`conf`	Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators. IEEECONF Sébastien Henwood, Gonçalo Mordido, Yvon Savaria, Sarath Chandar, François Leduc-Primeau
2023	—	`conf`	Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. ISTC Jérémy Nadal, Mohamed Yaoumi, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau
2023	—	`conf`	Low-Activity Gallager-B LDPC Decoding. ISTC Simon Brown, Jérémy Nadal, François Leduc-Primeau
2023	C	`conf`	Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. ISCAS 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
2023	J	`jnl`	Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. CoRR 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
2023	—	`conf`	Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. NEWCAS Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
2023	J	`jnl`	Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. CoRR Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
2023	J	`jnl`	Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. Trans. Mach. Learn. Res. Kamran Chitsaz, Gonçalo Mordido, Jean-Pierre David, François Leduc-Primeau
2022	J	`jnl`	Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning. IEEE Commun. Lett. Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2022	B	`conf`	Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. GLOBECOM Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2022	J	`jnl`	Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. CoRR Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2022	—	`conf`	MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. AICAS Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2022	J	`jnl`	MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. CoRR Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
2022	J	`jnl`	Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
2022	J	`jnl`	Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau
2022	—	`conf`	Single-Minimum LDPC Decoding Offset Optimization Methods. CWIT Daniel B. Dermont, Jérémy Nadal, François Leduc-Primeau
2022	—	`conf`	Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. EMBC Yang Zhang, Yvon Savaria, Shiqi Zhao, Gonçalo Mordido, Mohamad Sawan, François Leduc-Primeau
2021	J	`jnl`	Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. CoRR Mohamed Yaoumi, Jérémy Nadal, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau
2021	Misc	`conf`	Improving the Energy-Efficiency of a Kalman Filter Using Unreliable Memories. ICASSP Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, François Leduc-Primeau
2021	J	`jnl`	Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network. CoRR Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2021	J	`jnl`	Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access Nizar El Zarif, Leila Montazeri, François Leduc-Primeau, Mohamad Sawan
2021	J	`jnl`	Noisy Density Evolution With Asymmetric Deviation Models. IEEE Trans. Commun. Elsa Dupraz, François Leduc-Primeau
2021	J	`jnl`	Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
2021	B	`conf`	Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau
2021	—	`conf`	Towards an Accurate High-Level Energy Model for LDPC Decoders. ISTC Jérémy Nadal, Simon Brown, Elsa Dupraz, François Leduc-Primeau
2021	J	`jnl`	Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Trans. Wirel. Commun. Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2020	—	`conf`	A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder. NEWCAS Jérémy Nadal, Mickaël Fiorentino, Elsa Dupraz, François Leduc-Primeau
2020	J	`jnl`	Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. Ann. des Télécommunications Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frédéric Guilloud
2020	—	`conf`	Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. AICAS Sébastien Henwood, François Leduc-Primeau, Yvon Savaria
2020	J	`jnl`	Noisy Density Evolution With Asymmetric Deviation Models. CoRR Elsa Dupraz, François Leduc-Primeau
2020	J	`jnl`	Overlap-Save FBMC Receivers. IEEE Trans. Wirel. Commun. Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi
2020	—	`conf`	RSSI-Based Hybrid Beamforming Design with Deep Learning. ICC Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2020	J	`jnl`	RSSI-Based Hybrid Beamforming Design with Deep Learning. CoRR Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2020	J	`jnl`	Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. CoRR Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
2019	J	`jnl`	Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. CoRR Sébastien Henwood, François Leduc-Primeau, Yvon Savaria
2019	—	`conf`	Optimization of Protograph LDPC Codes based on High-Level Energy Models. ISWCS Mohamed Yaoumi, François Leduc-Primeau, Elsa Dupraz, Frédéric Guilloud
2019	C	`conf`	Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019	J	`jnl`	Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2018	J	`jnl`	A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. Carlo Condo, Pascal Giard, François Leduc-Primeau, Gabi Sarkis, Warren J. Gross
2018	—	`conf`	A Block FBMC Receiver Designed for Short Filters. ICC Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi
2018	J	`jnl`	A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. J. Signal Process. Syst. Kaushik Boga, François Leduc-Primeau, Naoya Onizawa, Kazumichi Matsumiya, Takahiro Hanyu, Warren J. Gross
2018	—	`conf`	Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design. ISTC Elsa Dupraz, François Leduc-Primeau, François Gagnon
2018	J	`jnl`	Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. IEEE Trans. Commun. François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
2017	J	`jnl`	A Study of Deep Learning Robustness Against Computation Failures. CoRR Jean-Charles Vialatte, François Leduc-Primeau
2017	J	`jnl`	VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
2016	J	`jnl`	A 9.96 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture. CoRR Carlo Condo, Pascal Giard, François Leduc-Primeau, Gabi Sarkis, Warren J. Gross
2016	J	`jnl`	A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Commun. Lett. Saied Hemati, François Leduc-Primeau, Warren J. Gross
2016	J	`jnl`	Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Trans. Signal Process. François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2016	—	`conf`	Finite-length quasi-synchronous LDPC decoders. ISTC François Leduc-Primeau, Warren J. Gross
2016	Misc	`conf`	Hardware implementation of FIR/IIR digital filters using integral stochastic computation. ICASSP Arash Ardakani, François Leduc-Primeau, Warren J. Gross
2016	J	`jnl`	Stall Pattern Avoidance in Polynomial Product Codes. CoRR Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross
2016	—	`conf`	Stall pattern avoidance in polynomial product codes. GlobalSIP Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross
2016	—	`conf`	VLSI implementation of deep neural networks using integral stochastic computing. ISTC Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
2015	—	`conf`	Energy optimization of LDPC decoder circuits with timing violations. ICC François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
2015	J	`jnl`	Modeling and Energy Optimization of LDPC Decoder Circuits with Timing Violations. CoRR François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
2015	—	`conf`	Stochastic implementation of the disparity energy model for depth perception. SiPS Kaushik Boga, Naoya Onizawa, François Leduc-Primeau, Kazumichi Matsumiya, Takahiro Hanyu, Warren J. Gross
2015	J	`jnl`	VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. CoRR Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
2014	Misc	`conf`	Cluster-based associative memories built from unreliable storage. ICASSP François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
2013	J	`jnl`	Relaxed Half-Stochastic Belief Propagation. IEEE Trans. Commun. François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2012	J	`jnl`	Dithered Belief Propagation Decoding. IEEE Trans. Commun. François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2012	—	`conf`	Faulty Gallager-B decoding with optimal message repetition. Allerton Conference François Leduc-Primeau, Warren J. Gross
2012	—	`conf`	High-throughput LDPC decoding using the RHS algorithm. DASIP François Leduc-Primeau, Alexandre J. Raymond, Pascal Giard, Kevin Cushon, Claude Thibeault, Warren J. Gross
2012	J	`jnl`	Relaxed Half-Stochastic Belief Propagation CoRR François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2010	B	`conf`	Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
2009	B	`conf`	A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor