François Leduc-Primeau

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 54

Top Topics

Optimization Methods

Kalman Filtering

Unsupervised Learning

Top Venues

Publications

Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Trans. Signal Process. 72 (2024)
Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models. CoRR (2024)
Simon Brown, Jérémy Nadal, François Leduc-Primeau
Low-Activity Gallager-B LDPC Decoding. ISTC (2023)
Jérémy Nadal, Mohamed Yaoumi, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. ISTC (2023)
MohammadHossein AskariHemmat, Theo Dupuis, Yoan Fournier, Nizar El Zarif, Matheus A. Cavalcante, Matteo Perotti, Frank K. Gürkaynak, Luca Benini, François Leduc-Primeau, Yvon Savaria, Jean-Pierre David
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. CoRR (2023)
Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. NEWCAS (2023)
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
Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. ISCAS (2023)
Theo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, Nizar El Zarif, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria
Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. CoRR (2023)
Kamran Chitsaz, Gonçalo Mordido, Jean-Pierre David, François Leduc-Primeau
Training DNNs Resilient to Adversarial and Random Bit-Flips by Learning Quantization Ranges. Trans. Mach. Learn. Res. 2023 (2023)
Daniel B. Dermont, Jérémy Nadal, François Leduc-Primeau
Single-Minimum LDPC Decoding Offset Optimization Methods. CWIT (2022)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning. IEEE Commun. Lett. 26 (5) (2022)
Yang Zhang, Yvon Savaria, Shiqi Zhao, Gonçalo Mordido, Mohamad Sawan, François Leduc-Primeau
Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. EMBC (2022)
Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. AICAS (2022)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. CoRR (2022)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. GLOBECOM (2022)
Jonathan Kern, Sébastien Henwood, Gonçalo Mordido, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Yvon Savaria, François Leduc-Primeau
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. CoRR (2022)
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors 22 (3) (2022)
Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR (2022)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Trans. Wirel. Commun. 20 (11) (2021)
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR (2021)
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, François Leduc-Primeau
Improving the Energy-Efficiency of a Kalman Filter Using Unreliable Memories. ICASSP (2021)
Elsa Dupraz, François Leduc-Primeau
Noisy Density Evolution With Asymmetric Deviation Models. IEEE Trans. Commun. 69 (3) (2021)
Jérémy Nadal, Simon Brown, Elsa Dupraz, François Leduc-Primeau
Towards an Accurate High-Level Energy Model for LDPC Decoders. ISTC (2021)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network. CoRR (2021)
Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW (2021)
Mohamed Yaoumi, Jérémy Nadal, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. CoRR (2021)
Nizar El Zarif, Leila Montazeri, François Leduc-Primeau, Mohamad Sawan
Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access 9 (2021)
Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. CoRR (2020)
Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
RSSI-Based Hybrid Beamforming Design with Deep Learning. CoRR (2020)
Elsa Dupraz, François Leduc-Primeau
Noisy Density Evolution With Asymmetric Deviation Models. CoRR (2020)
Jérémy Nadal, Mickaël Fiorentino, Elsa Dupraz, François Leduc-Primeau
A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder. NEWCAS (2020)
Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau
RSSI-Based Hybrid Beamforming Design with Deep Learning. ICC (2020)
Sébastien Henwood, François Leduc-Primeau, Yvon Savaria
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. AICAS (2020)
Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi
Overlap-Save FBMC Receivers. IEEE Trans. Wirel. Commun. 19 (8) (2020)
Mohamed Yaoumi, Elsa Dupraz, François Leduc-Primeau, Frédéric Guilloud
Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. Ann. des Télécommunications 75 (11) (2020)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR (2019)
Mohamed Yaoumi, François Leduc-Primeau, Elsa Dupraz, Frédéric Guilloud
Optimization of Protograph LDPC Codes based on High-Level Energy Models. ISWCS (2019)
Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS (2019)
Sébastien Henwood, François Leduc-Primeau, Yvon Savaria
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. CoRR (2019)
Carlo Condo, Pascal Giard, François Leduc-Primeau, Gabi Sarkis, Warren J. Gross
A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. (4) (2018)
Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi
A Block FBMC Receiver Designed for Short Filters. ICC (2018)
Elsa Dupraz, François Leduc-Primeau, François Gagnon
Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design. ISTC (2018)
François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. IEEE Trans. Commun. 66 (3) (2018)
Kaushik Boga, François Leduc-Primeau, Naoya Onizawa, Kazumichi Matsumiya, Takahiro Hanyu, Warren J. Gross
A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. J. Signal Process. Syst. 90 (5) (2018)
Jean-Charles Vialatte, François Leduc-Primeau
A Study of Deep Learning Robustness Against Computation Failures. CoRR (2017)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Trans. Very Large Scale Integr. Syst. 25 (10) (2017)
Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross
Stall Pattern Avoidance in Polynomial Product Codes. CoRR (2016)
François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Trans. Signal Process. 64 (4) (2016)
Carlo Condo, Pascal Giard, François Leduc-Primeau, Gabi Sarkis, Warren J. Gross
A 9.96 dB NCG FEC scheme and 164 bits/cycle low-complexity product decoder architecture. CoRR (2016)
Saied Hemati, François Leduc-Primeau, Warren J. Gross
A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Commun. Lett. 20 (3) (2016)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI implementation of deep neural networks using integral stochastic computing. ISTC (2016)
Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross
Stall pattern avoidance in polynomial product codes. GlobalSIP (2016)
François Leduc-Primeau, Warren J. Gross
Finite-length quasi-synchronous LDPC decoders. ISTC (2016)
Arash Ardakani, François Leduc-Primeau, Warren J. Gross
Hardware implementation of FIR/IIR digital filters using integral stochastic computation. ICASSP (2016)
Kaushik Boga, Naoya Onizawa, François Leduc-Primeau, Kazumichi Matsumiya, Takahiro Hanyu, Warren J. Gross
Stochastic implementation of the disparity energy model for depth perception. SiPS (2015)
François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
Modeling and Energy Optimization of LDPC Decoder Circuits with Timing Violations. CoRR (2015)
Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. CoRR (2015)
François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross
Energy optimization of LDPC decoder circuits with timing violations. ICC (2015)
François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross
Cluster-based associative memories built from unreliable storage. ICASSP (2014)
François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
Relaxed Half-Stochastic Belief Propagation. IEEE Trans. Commun. 61 (5) (2013)
François Leduc-Primeau, Alexandre J. Raymond, Pascal Giard, Kevin Cushon, Claude Thibeault, Warren J. Gross
High-throughput LDPC decoding using the RHS algorithm. DASIP (2012)
François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
Relaxed Half-Stochastic Belief Propagation CoRR (2012)
François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
Dithered Belief Propagation Decoding. IEEE Trans. Commun. 60 (8) (2012)
François Leduc-Primeau, Warren J. Gross
Faulty Gallager-B decoding with optimal message repetition. Allerton Conference (2012)
François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross
Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM (2010)
François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor
A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM (2009)