Mathieu Léonardon

According to our database, Mathieu Léonardon authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning.

R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC.

Lucas Grativol, Lubin Gauthier, Mathieu Léonardon, Jérémy Morlier, Antoine Lavrard-Meyer, Guillaume Muller, Virginie Fresse, Matthieu Arzel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

FLoCoRA: Federated Learning Compression with Low-Rank Adaptation.

Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Federated learning compression designed for lightweight communications.

Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA.

Hugo Le Blevec, Mathieu Léonardon, Hugo Tessier, Matthieu Arzel

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables.

Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

MOL-Based In-Memory Computing of Binary Neural Networks.

Khaled Alhaj Ali, Amer Baghdadi, Elsa Dupraz, Mathieu Léonardon, Mostafa Rizk, Jean-Philippe Diguet

IEEE Trans. Very Large Scale Integr. Syst., 2022

Rethinking Weight Decay for Efficient Neural Network Pruning.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

J. Imaging, 2022

Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers.

Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon

Proceedings of the Advances in System-Integrated Intelligence, 2022

Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the Advances in System-Integrated Intelligence, 2022

Leveraging Structured Pruning of Convolutional Neural Networks.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan

Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

2021

Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes.

Mathieu Léonardon, Vincent Gripon

Proceedings of the 11th International Symposium on Topics in Coding, 2021

A Flexible and Portable Real-time DVB-S2 Transceiver using Multicore and SIMD CPUs.

Adrien Cassagne, Mathieu Léonardon, Romain Tajan, Camille Leroux, Christophe Jégo, Olivier Aumage, Denis Barthou

Proceedings of the 11th International Symposium on Topics in Coding, 2021

2020

Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay.

Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand

CoRR, 2020

2019

Fast and Flexible Software Polar List Decoders.

Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria

J. Signal Process. Syst., 2019

AFF3CT: A Fast Forward Error Correction Toolbox!

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

SoftwareX, 2019

Toward High-Performance Implementation of 5G SCMA Algorithms.

Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria

IEEE Access, 2019

2018

Transport Triggered Polar Decoders.

Mathieu Léonardon, Camille Leroux, Pekka Jääskeläinen, Christophe Jégo, Yvon Savaria

Proceedings of the 10th IEEE International Symposium on Turbo Codes & Iterative Information Processing, 2018

Custom Low Power Processor for Polar Decoding.

Mathieu Léonardon, Camille Leroux, David Binet, J. M. Pierre Langlois, Christophe Jégo, Yvon Savaria

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Improving performance of SCMA MPA decoders using estimation of conditional probabilities.

Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux

Proceedings of the 15th IEEE International New Circuits and Systems Conference, 2017