Improving performance of SCMA MPA decoders using estimation of conditional probabilities. - Alireza Ghaffari; Mathieu Léonardon; Yvon Savaria; Christophe Jégo; Camille Leroux (NEWCAS, 2017)

Custom Low Power Processor for Polar Decoding. - Mathieu Léonardon; Camille Leroux; David Binet; J. M. Pierre Langlois; Christophe Jégo; Yvon Savaria (ISCAS, 2018)

Transport Triggered Polar Decoders. - Mathieu Léonardon; Camille Leroux; Pekka Jääskeläinen; Christophe Jégo; Yvon Savaria (ISTC, 2018)

Toward High-Performance Implementation of 5G SCMA Algorithms. - Alireza Ghaffari; Mathieu Léonardon; Adrien Cassagne; Camille Leroux; Yvon Savaria (IEEE Access, 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)

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)

Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; Thomas Hannagan; David Bertrand (CoRR, 2020)

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 (ISTC, 2021)

Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. - Mathieu Léonardon; Vincent Gripon (ISTC, 2021)

Leveraging Structured Pruning of Convolutional Neural Networks. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; David Bertrand; Thomas Hannagan (SiPS, 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 (SYSINT, 2022)

Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. - Hamoud Younes; Hugo Le Blevec; Mathieu Léonardon; Vincent Gripon (SYSINT, 2022)

Rethinking Weight Decay for Efficient Neural Network Pruning. - Hugo Tessier; Vincent Gripon; Mathieu Léonardon; Matthieu Arzel; Thomas Hannagan; David Bertrand (J. Imaging, 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)

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 (CVPR Workshops, 2023)

Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. - Hugo Le Blevec; Mathieu Léonardon; Hugo Tessier; Matthieu Arzel (ICECS, 2023)

Federated learning compression designed for lightweight communications. - Lucas Grativol; Mathieu Léonardon; Guillaume Muller 001; Virginie Fresse; Matthieu Arzel (ICECS, 2023)

Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework. - Timotée Ly-Manson; Mathieu Léonardon; Abdeldjalil Aïssa-El-Bey; Ghouthi Boukli Hacene; Lukas Mauch (AutoML, 2024)

FLoCoRA: Federated Learning Compression with Low-Rank Adaptation. - Lucas Grativol; Mathieu Léonardon; Guillaume Muller 001; Virginie Fresse; Matthieu Arzel (EUSIPCO, 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 001; Virginie Fresse; Matthieu Arzel (ISCAS, 2024)

Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. - R. Kanda; Naoya Onizawa; Mathieu Léonardon; Vincent Gripon; Takahiro Hanyu (MWSCAS, 2024)

FPGA-Oriented Design Space Exploration of a Real-Time Road Scene Semantic Segmentation Deep Neural Network. - Hugo Le Blevec; Mathieu Léonardon; Stefan Weithoffer; Matthieu Arzel (FPGA, 2025)

Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. - R. Kanda; Hugo Le Blevec; Naoya Onizawa; Mathieu Léonardon; Vincent Gripon; Takahiro Hanyu (ISCAS, 2025)

Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. - Jérémy Morlier; Mathieu Léonardon; Vincent Gripon (CoRR, 2025)

Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. - Manon Renault; Hamoud Younes; Hugo Tessier; Ronan Le Roy; Bastien Pasdeloup; Mathieu Léonardon (CoRR, 2025)

Low-Latency Software Polar Encoders and Decoders for Short Blocklengths. - Mathieu Léonardon; Mohammed El Houcine Ayoubi; Adrien Cassagne; Romain Tajan; Camille Leroux (CoRR, 2025)