Documents dont l'auteur est "Leduc-Primeau, François"

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François Leduc-PrimeauDépartement de génie électrique

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Nombre de documents: 60

El‐Sayegh, B., Dumoulin, C., Leduc-Primeau, F., & Sawan, M. (2024). Improving Pelvic Floor Muscle Training with AI: A Novel Quality Assessment System for Pelvic Floor Dysfunction. Sensors, 24(21), 6937-6937. Lien externe

Hojatian, H., Mlika, Z., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2024). Learning energy-efficient transmitter configurations for massive MIMO beamforming. IEEE Transactions on Machine Learning in Communications and Networking, 2, 939-955. Disponible

Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (2024). Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Transactions on Signal Processing, 72, 1205-1218. Lien externe

Humblet, E., Dupuis, T., Fournier, Y., AskariHemmat, M. H., Leduc-Primeau, F., David, J. P., & Savaria, Y. (août 2024). MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks [Communication écrite]. IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS 2024), Springfield, MA, USA. Lien externe

Zhang, Y., Savaria, Y., Sawan, M., & Leduc-Primeau, F. (juin 2024). S³ 1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables [Communication écrite]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. Lien externe

Karkan, A. H., Hojatian, H., Frigon, J.-F., & Leduc-Primeau, F. (mai 2024). SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming [Communication écrite]. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockhom, Sweden. Lien externe

Nadal, J., Yaoumi, M., Dupraz, E., Guilloud, F., & Leduc-Primeau, F. (septembre 2023). Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders [Communication écrite]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). Lien externe

Brown, S., Nadal, J., & Leduc-Primeau, F. (septembre 2023). Low-Activity Gallager-B LDPC Decoding [Communication écrite]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). Lien externe

AskariHemmat, M.H., Dupuis, T., Fournier, Y., El Zarif, N., Cavalcante, M., Perotti, M., Gurkaynak, F., Benini, L., Leduc-Primeau, F., Savaria, Y., & David, J. P. Quark: an integer RISC-V vector processor for sub-byte quantized DNN inference [Communication écrite]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). Lien externe

Dupuis, T., Fournier, Y., AskariHemmat, M.H., Zarif, N. E., Leduc-Primeau, F., David, J. P., & Savaria, Y. (juin 2023). Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference [Communication écrite]. 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). Lien externe

Dupraz, E., Leduc-Primeau, F., Cai, K., & Dolecek, L. (2023). Turning to Information Theory to Bring In-Memory Computing Into Practice. IEEE BITS the Information Theory Magazine, 13 pages. Lien externe

El-Sayegh, B., Cacciari, L. P., Leduc-Primeau, F., Sawan, M., & Dumoulin, C. (2022). The state of pelvic floor muscle dynamometry: A scoping review [Commentaire ou lettre]. Neurourology and Urodynamics, 42(2), 478-499. Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022). Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning. IEEE Communications Letters, 26(5), 1042-1046. Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (décembre 2022). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. Lien externe

Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (juin 2022). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators [Communication écrite]. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea. Lien externe

Kern, J., Dupraz, E., Aissa-El-bey, A., Varshney, L. R., & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), 20 pages. Lien externe

El-Sayegh, B., Dumoulin, C., Ali, M., Assaf, H., De Jong, J., Sawan, M., & Leduc-Primeau, F. (2022). Portable Dynamometer-Based Measurement of Pelvic Floor Muscle Force. IEEE Journal of Translational Engineering in Health and Medicine, 11, 44-53. Lien externe

Dermont, D. B., Nadal, J., & Leduc-Primeau, F. (juin 2022). Single-Minimum LDPC Decoding Offset Optimization Methods [Communication écrite]. 17th Canadian Workshop on Information Theory (CWIT 2022), Ottawa, ON, Canada. Lien externe

Zhang, Y., Savaria, Y., Zhao, S., Mordido, G., Sawan, M., & Leduc-Primeau, F. (juillet 2022). Tiny CNN for Seizure Prediction in Wearable Biomedical Devices [Communication écrite]. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), Glasgow, United Kingdom. Lien externe

Kern, J., Dupraz, E., Aissa-El-Bey, A., & Leduc-Primeau, F. (juin 2021). Improving the energy-efficiency of a Kalman filter using unreliable memories [Communication écrite]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont.. Lien externe

Zarif, N. E., Montazeri, L., Leduc-Primeau, F., & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185. Lien externe

Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. Lien externe

Dupraz, E., Varshney, L. R., & Leduc-Primeau, F. (octobre 2021). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation [Communication écrite]. IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). Lien externe

Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (août 2021). Towards an Accurate High-Level Energy Model for LDPC Decoders [Communication écrite]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2021). Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Transactions on Wireless Communications, 20(11), 7086-7099. Lien externe

Nadal, J., Fiorentino, M., Dupraz, E., & Leduc-Primeau, F. (juin 2020). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder [Communication écrite]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, QC, Canada. Lien externe

Yaoumi, M., Dupraz, E., Leduc-Primeau, F., & Guilloud, F. (2020). Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. [Annales des Telecommunications]. Lien externe

Henwood, S., Leduc-Primeau, F., & Savaria, Y. (août 2020). Layerwise noise maximisation to train low-energy deep neural networks [Communication écrite]. 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Genova, Italy. Lien externe

Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320. Lien externe

Hojatian, H., Ha, V. N., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (juin 2020). RSSI-Based Hybrid Beamforming Design with Deep Learning [Communication écrite]. IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). Lien externe

Yaoumi, M., Leduc-Primeau, F., Dupraz, E., & Guilloud, F. (août 2019). Optimization of protograph LDPC codes based on high-level energy models [Communication écrite]. 16th International Symposium on Wireless Communication Systems, (ISWCS 2019), Oulu, Finland. Lien externe

Leduc-Primeau, F., Hemati, S., Gaudet, V. C., & Gross, W. J. (2019). Stochastic Decoding of Error-Correcting Codes. Dans Gross, W. J., & Gaudet, V. C. (édit.), Stochastic Computing: Techniques and Applications (p. 201-215). Lien externe

Hacene, G. B., Leduc-Primeau, F., Soussia, A. B., Gripon, V., & Gagnon, F. (mai 2019). Training modern deep neural networks for memory-fault robustness [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan (5 pages). Lien externe

Condo, C., Giard, P., Leduc-Primeau, F., Sarkis, G., & Gross, W. J. (2018). A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. IEEE Transactions on Circuits and Systems I: Regular Papers, 65(4), 1420-1431. Lien externe

Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (mai 2018). A Block FBMC Receiver Designed for Short Filters [Communication écrite]. IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA (6 pages). Lien externe

Dupraz, E., Leduc-Primeau, F., & Gagnon, F. (décembre 2018). Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design [Communication écrite]. International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Hong Kong, Chine. Lien externe

Leduc-Primeau, F., Kschischang, F. R., & Gross, W. J. (2018). Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. IEEE Transactions on Communications, 66(3), 932-946. Lien externe

Vialatte, J.-C., & Leduc-Primeau, F. (février 2017). A Study of Deep Learning Robustness Against Computation Failures [Communication écrite]. 9th International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece. Lien externe

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (2017). VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(10), 2688-2699. Lien externe

Leduc-Primeau, F. (2016). Designing energy-efficient systems by exploiting error-correction codes [Thèse de doctorat, McGill University]. Lien externe

Leduc-Primeau, F., Gripon, V., Rabbat, M. G., & Gross, W. J. (2016). Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Transactions on Signal Processing, 64(4), 829-841. Lien externe

Leduc-Primeau, F., & Gross, W. J. (septembre 2016). Finite-length quasi-synchronous LDPC decoders [Communication écrite]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. Lien externe

Boga, K., Leduc-Primeau, F., Onizawa, N., Matsumiya, K., Hanyu, T., & Gross, W. J. (2016). A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. Journal of Signal Processing Systems, 90(5), 709-725. Lien externe

Ardakani, A., Leduc-Primeau, F., & Gross, W. J. (mars 2016). Hardware implementation of FIR/IIR digital filters using integral stochastic computation [Communication écrite]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China. Lien externe

Hemati, S., Leduc-Primeau, F., & Gross, W. J. (2016). A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Communications Letters, 20(3), 422-425. Lien externe

Condo, C., Leduc-Primeau, F., Sarkis, G., Giard, P., & Gross, W. J. (décembre 2016). Stall pattern avoidance in polynomial product codes [Communication écrite]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016), Washington, D.C.. Lien externe

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (septembre 2016). VLSI implementation of deep neural networks using integral stochastic computing [Communication écrite]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. Lien externe

Leduc-Primeau, F., Kschischang, F. R., & Gross, W. J. (juin 2015). Energy optimization of LDPC decoder circuits with timing violations [Communication écrite]. IEEE International Conference on Communications (ICC 2015), London, UK. Lien externe

Leduc-Primeau, F., Gaudet, V. C., & Gross, W. J. (2015). Stochastic Decoders for LDPC Codes. Dans Chavet, C., & Coussy, P. (édit.), Advanced Hardware Design for Error Correcting Codes (p. 105-128). Lien externe

Boga, K., Onizawa, N., Leduc-Primeau, F., Matsumiya, K., Hanyu, T., & Gross, W. J. (octobre 2015). Stochastic implementation of the disparity energy model for depth perception [Communication écrite]. IEEE Workshop on Signal Processing Systems (SiPS 2015), Hangzhou, China (6 pages). Lien externe

Leduc-Primeau, F., Gripon, V., Rabbat, M. G., & Gross, W. J. (mai 2014). Cluster-based associative memories built from unreliable storage [Communication écrite]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy. Lien externe

Gross, W. J., Leduc-Primeau, F., Hemati, S., & Mannor, S. (2014). Method and system for decoding. (Brevet no US8898537). Lien externe

Gross, W. J., Hemati, S., Mannor, S., Naderi, A., & Leduc-Primeau, F. (2014). Method and system for decoding. (Brevet no US8677227). Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659. Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047. Lien externe

Leduc-Primeau, F., & Gross, W. J. (octobre 2012). Faulty Gallager-B decoding with optimal message repetition [Communication écrite]. 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2012), Monticello, IL. Lien externe

Leduc-Primeau, F., Raymond, A. J., Giard, P., Cushon, K., Thibeault, C., & Gross, W. J. (octobre 2012). High-throughput LDPC decoding using the RHS algorithm [Communication écrite]. Conference on Design and Architectures for Signal and Image Processing, Karlsruhe, Germany (6 pages). Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (décembre 2010). Lowering Error Floors Using Dithered Belief Propagation [Communication écrite]. IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, FL. Lien externe

Leduc-Primeau, F. (2010). A relaxed half-stochastic decoding algorithm for LDPC codes [Mémoire de maîtrise, McGill University]. Lien externe

Leduc-Primeau, F., Hemati, S., Gross, W. J., & Mannor, S. (novembre 2009). A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes [Communication écrite]. IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI (6 pages). Lien externe

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