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ORCIDFrançois Leduc-Primeau
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2020 – today
- 2024
[j17]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: 1205-1218 (2024)- [c31]Elisabeth Humblet, Théo Dupuis, Yoan Fournier, MohammadHossein AskariHemmat, François Leduc-Primeau, Jean-Pierre David, Yvon Savaria:
MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks. MWSCAS 2024: 464-468 - [c30]Yang Zhang, Yvon Savaria, Mohamad Sawan, François Leduc-Primeau:
$\mathcal{S}^{3}$1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables. NewCAS 2024: 278-282 - [i20]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 abs/2401.11311 (2024) - 2023
- [j16]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) - [c29]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: 1-5 - [c28]Simon Brown, Jérémy Nadal, François Leduc-Primeau:
Low-Activity Gallager-B LDPC Decoding. ISTC 2023: 1-5 - [c27]Jérémy Nadal, Mohamed Yaoumi, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau:
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. ISTC 2023: 1-5 - [c26]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: 1-5 - [i19]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. CoRR abs/2302.05996 (2023) - [i18]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. CoRR abs/2306.09905 (2023) - 2022
- [j15]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): 1042-1046 (2022) - [j14]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): 853 (2022) - [c25]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: 62-65 - [c24]Daniel B. Dermont, Jérémy Nadal, François Leduc-Primeau:
Single-Minimum LDPC Decoding Offset Optimization Methods. CWIT 2022: 21-26 - [c23]Yang Zhang, Yvon Savaria, Shiqi Zhao, Gonçalo Mordido, Mohamad Sawan, François Leduc-Primeau:
Tiny CNN for Seizure Prediction in Wearable Biomedical Devices. EMBC 2022: 1306-1309 - [c22]Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. GLOBECOM 2022: 3833-3838 - [i17]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 abs/2205.01707 (2022) - [i16]Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. CoRR abs/2208.05443 (2022) - [i15]Gonçalo Mordido, Sarath Chandar, François Leduc-Primeau:
Sharpness-Aware Training for Accurate Inference on Noisy DNN Accelerators. CoRR abs/2211.11561 (2022) - 2021
- [j13]Nizar El Zarif, Leila Montazeri, François Leduc-Primeau, Mohamad Sawan:
Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access 9: 101172-101185 (2021) - [j12]Elsa Dupraz, François Leduc-Primeau:
Noisy Density Evolution With Asymmetric Deviation Models. IEEE Trans. Commun. 69(3): 1403-1416 (2021) - [j11]Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Trans. Wirel. Commun. 20(11): 7086-7099 (2021) - [c21]Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, François Leduc-Primeau:
Improving the Energy-Efficiency of a Kalman Filter Using Unreliable Memories. ICASSP 2021: 5345-5349 - [c20]Jérémy Nadal, Simon Brown, Elsa Dupraz, François Leduc-Primeau:
Towards an Accurate High-Level Energy Model for LDPC Decoders. ISTC 2021: 1-5 - [c19]Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau:
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW 2021: 1-5 - [i14]Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network. CoRR abs/2106.16194 (2021) - [i13]Mohamed Yaoumi, Jérémy Nadal, Elsa Dupraz, Frédéric Guilloud, François Leduc-Primeau:
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders. CoRR abs/2108.11812 (2021) - [i12]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 abs/2109.01520 (2021) - 2020
- [j10]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): 615-621 (2020) - [j9]Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi:
Overlap-Save FBMC Receivers. IEEE Trans. Wirel. Commun. 19(8): 5307-5320 (2020) - [c18]Sébastien Henwood, François Leduc-Primeau, Yvon Savaria:
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. AICAS 2020: 271-275 - [c17]Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
RSSI-Based Hybrid Beamforming Design with Deep Learning. ICC 2020: 1-6 - [c16]Jérémy Nadal, Mickaël Fiorentino, Elsa Dupraz, François Leduc-Primeau:
A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder. NEWCAS 2020: 263-266 - [i11]Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
RSSI-Based Hybrid Beamforming Design with Deep Learning. CoRR abs/2003.06042 (2020) - [i10]Elsa Dupraz, François Leduc-Primeau:
Noisy Density Evolution With Asymmetric Deviation Models. CoRR abs/2005.05788 (2020) - [i9]Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. CoRR abs/2007.00038 (2020)
2010 – 2019
- 2019
- [c15]Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon:
Training Modern Deep Neural Networks for Memory-Fault Robustness. ISCAS 2019: 1-5 - [c14]Mohamed Yaoumi, François Leduc-Primeau, Elsa Dupraz, Frédéric Guilloud:
Optimization of Protograph LDPC Codes based on High-Level Energy Models. ISWCS 2019: 6-10 - [i8]Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon:
Training Modern Deep Neural Networks for Memory-Fault Robustness. CoRR abs/1911.10287 (2019) - [i7]Sébastien Henwood, François Leduc-Primeau, Yvon Savaria:
Layerwise Noise Maximisation to Train Low-Energy Deep Neural Networks. CoRR abs/1912.10764 (2019) - 2018
- [j8]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. 65-I(4): 1420-1431 (2018) - [j7]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): 932-946 (2018) - [j6]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): 709-725 (2018) - [c13]Jérémy Nadal, François Leduc-Primeau, Charbel Abdel Nour, Amer Baghdadi:
A Block FBMC Receiver Designed for Short Filters. ICC 2018: 1-6 - [c12]Elsa Dupraz, François Leduc-Primeau, François Gagnon:
Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design. ISTC 2018: 1-5 - 2017
- [j5]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): 2688-2699 (2017) - [i6]Jean-Charles Vialatte, François Leduc-Primeau:
A Study of Deep Learning Robustness Against Computation Failures. CoRR abs/1704.05396 (2017) - 2016
- [j4]Saied Hemati, François Leduc-Primeau, Warren J. Gross:
A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Commun. Lett. 20(3): 422-425 (2016) - [j3]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): 829-841 (2016) - [c11]Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross:
Stall pattern avoidance in polynomial product codes. GlobalSIP 2016: 699-702 - [c10]Arash Ardakani, François Leduc-Primeau, Warren J. Gross:
Hardware implementation of FIR/IIR digital filters using integral stochastic computation. ICASSP 2016: 6540-6544 - [c9]Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross:
VLSI implementation of deep neural networks using integral stochastic computing. ISTC 2016: 216-220 - [c8]François Leduc-Primeau, Warren J. Gross:
Finite-length quasi-synchronous LDPC decoders. ISTC 2016: 325-329 - [i5]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 abs/1610.06050 (2016) - [i4]Carlo Condo, François Leduc-Primeau, Gabi Sarkis, Pascal Giard, Warren J. Gross:
Stall Pattern Avoidance in Polynomial Product Codes. CoRR abs/1611.04834 (2016) - 2015
- [c7]François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross:
Energy optimization of LDPC decoder circuits with timing violations. ICC 2015: 412-417 - [c6]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: 1-6 - [i3]François Leduc-Primeau, Frank R. Kschischang, Warren J. Gross:
Modeling and Energy Optimization of LDPC Decoder Circuits with Timing Violations. CoRR abs/1503.03880 (2015) - [i2]Arash Ardakani, François Leduc-Primeau, Naoya Onizawa, Takahiro Hanyu, Warren J. Gross:
VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. CoRR abs/1509.08972 (2015) - 2014
- [c5]François Leduc-Primeau, Vincent Gripon, Michael G. Rabbat, Warren J. Gross:
Cluster-based associative memories built from unreliable storage. ICASSP 2014: 8370-8374 - 2013
- [j2]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Relaxed Half-Stochastic Belief Propagation. IEEE Trans. Commun. 61(5): 1648-1659 (2013) - 2012
- [j1]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Dithered Belief Propagation Decoding. IEEE Trans. Commun. 60(8): 2042-2047 (2012) - [c4]François Leduc-Primeau, Warren J. Gross:
Faulty Gallager-B decoding with optimal message repetition. Allerton Conference 2012: 549-556 - [c3]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: 1-6 - [i1]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Relaxed Half-Stochastic Belief Propagation. CoRR abs/1205.2428 (2012) - 2010
- [c2]François Leduc-Primeau, Saied Hemati, Shie Mannor, Warren J. Gross:
Lowering Error Floors Using Dithered Belief Propagation. GLOBECOM 2010: 1-6
2000 – 2009
- 2009
- [c1]François Leduc-Primeau, Saied Hemati, Warren J. Gross, Shie Mannor:
A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes. GLOBECOM 2009: 1-6
Coauthor Index
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