Mathieu Léonardon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Forward Error Correction

Energy Consumption

Top Venues

Publications

Lucas Grativol, Lubin Gauthier, Mathieu Léonardon, Jérémy Morlier, Antoine Lavrard-Meyer, Guillaume Muller, Virginie Fresse, Matthieu Arzel
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC. ISCAS (2024)
Lucas Grativol Ribeiro, Lubin Gauthier, Mathieu Léonardon, Jérémy Morlier, Antoine Lavrard-Meyer, Guillaume Muller, Virginie Fresse, Matthieu Arzel
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC. CoRR (2024)
Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
FLoCoRA: Federated learning compression with low-rank adaptation. CoRR (2024)
Hugo Le Blevec, Mathieu Léonardon, Hugo Tessier, Matthieu Arzel
Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. ICECS (2023)
Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
Federated learning compression designed for lightweight communications. ICECS (2023)
Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CVPR Workshops (2023)
Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CoRR (2023)
Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
Federated learning compression designed for lightweight communications. CoRR (2023)
Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon
Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. SYSINT (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Leveraging Structured Pruning of Convolutional Neural Networks. SiPS (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU. SYSINT (2022)
Khaled Alhaj Ali, Amer Baghdadi, Elsa Dupraz, Mathieu Léonardon, Mostafa Rizk, Jean-Philippe Diguet
MOL-Based In-Memory Computing of Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30 (7) (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU. CoRR (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging 8 (3) (2022)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
Leveraging Structured Pruning of Convolutional Neural Networks. CoRR (2022)
Mathieu Léonardon, Vincent Gripon
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. ISTC (2021)
Mathieu Léonardon, Vincent Gripon
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. CoRR (2021)
Adrien Cassagne, Mathieu Léonardon, Romain Tajan, Camille Leroux, Christophe Jégo, Olivier Aumage, Denis Barthou
A Flexible and Portable Real-time DVB-S2 Transceiver using Multicore and SIMD CPUs. ISTC (2021)
Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. CoRR (2020)
Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria
Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access 7 (2019)
Adrien Cassagne, Olivier Hartmann, Mathieu Léonardon, Kun He, Camille Leroux, Romain Tajan, Olivier Aumage, Denis Barthou, Thibaud Tonnellier, Vincent Pignoly, Bertrand Le Gal, Christophe Jégo
AFF3CT: A Fast Forward Error Correction Toolbox! SoftwareX 10 (2019)
Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria
Fast and Flexible Software Polar List Decoders. J. Signal Process. Syst. 91 (8) (2019)
Mathieu Léonardon, Camille Leroux, Pekka Jääskeläinen, Christophe Jégo, Yvon Savaria
Transport Triggered Polar Decoders. ISTC (2018)
Mathieu Léonardon, Camille Leroux, David Binet, J. M. Pierre Langlois, Christophe Jégo, Yvon Savaria
Custom Low Power Processor for Polar Decoding. ISCAS (2018)
Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux
Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS (2017)
Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria
Fast and Flexible Software Polar List Decoders. CoRR (2017)