Mathieu Léonardon

42 papers A 1B 2C 4Journal 21Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. CoRR R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2026	J	`jnl`	Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. CoRR R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2026	J	`jnl`	Efficient Few-Shot Learning for Edge AI via Knowledge Distillation on MobileViT. CoRR Shuhei Tsuyuki, Reda Bensaid, Jérémy Morlier, Mathieu Léonardon, Naoya Onizawa, Vincent Gripon, Takahiro Hanyu
2026	J	`jnl`	MONET: Modeling and Optimization of neural NEtwork Training from Edge to Data Centers. CoRR Jérémy Morlier, Robin Geens, Stef Cuyckens, Arne Symons, Marian Verhelst, Vincent Gripon, Mathieu Léonardon
2025	C	`conf`	A Prototyping Framework for P4-Programmable Traffic Managers. RSP Karl La Grassa, André Béliveau, Mathieu Léonardon, Jean-Pierre David, Matthieu Arzel, Yvon Savaria
2025	C	`conf`	Bit-Width-Aware Design Environment for Few-Shot Learning on Edge AI Hardware. ISCAS R. Kanda, Hugo Le Blevec, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2025	B	`conf`	Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. COMPSAC Manon Renault, Hamoud Younes, Hugo Tessier, Ronan Le Roy, Bastien Pasdeloup, Mathieu Léonardon
2025	J	`jnl`	Event Classification of Accelerometer Data for Industrial Package Monitoring with Embedded Deep Learning. CoRR Manon Renault, Hamoud Younes, Hugo Tessier, Ronan Le Roy, Bastien Pasdeloup, Mathieu Léonardon
2025	A	`conf`	FPGA-Oriented Design Space Exploration of a Real-Time Road Scene Semantic Segmentation Deep Neural Network. FPGA Hugo Le Blevec, Mathieu Léonardon, Stefan Weithoffer, Matthieu Arzel
2025	B	`conf`	Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. IJCNN Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025	J	`jnl`	Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. CoRR Jérémy Morlier, Mathieu Léonardon, Vincent Gripon
2025	J	`jnl`	Low-Latency Software Polar Encoders and Decoders for Short Blocklengths. CoRR Mathieu Léonardon, Mohammed El Houcine Ayoubi, Adrien Cassagne, Romain Tajan, Camille Leroux
2025	—	`conf`	Towards Low-Latency Object Detection on Board Reactive Search-and-Rescue Drones. SSRR Ismail Amessegher, Arthur Gaudard, Kojo Nyamekye Anyinam-Boateng, Hugo Le Blevec, Lionel Geneve, Florian Pouthier, Mathieu Léonardon, Hajer Fradi, Lucia Bergantin, Panagiotis Papadakis, Isabelle Fantoni, Jean-Philippe Diguet, Matthieu Arzel
2024	—	`conf`	Analyzing Few-Shot Neural Architecture Search in a Metric-Driven Framework. AutoML Timotée Ly-Manson, Mathieu Léonardon, Abdeldjalil Aïssa-El-Bey, Ghouthi Boukli Hacene, Lukas Mauch
2024	—	`conf`	Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. MWSCAS R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu
2024	—	`conf`	FLoCoRA: Federated Learning Compression with Low-Rank Adaptation. EUSIPCO Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2024	J	`jnl`	FLoCoRA: Federated learning compression with low-rank adaptation. CoRR Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2024	C	`conf`	PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC. ISCAS Lucas Grativol, Lubin Gauthier, Mathieu Léonardon, Jérémy Morlier, Antoine Lavrard-Meyer, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2024	J	`jnl`	PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC. CoRR Lucas Grativol Ribeiro, Lubin Gauthier, Mathieu Léonardon, Jérémy Morlier, Antoine Lavrard-Meyer, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2023	—	`conf`	DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CVPR Workshops Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
2023	J	`jnl`	DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. CoRR Darshan C. Ganji, Saad Ashfaq, Ehsan Saboori, Sudhakar Sah, Saptarshi Mitra, MohammadHossein AskariHemmat, Alexander Hoffman, Ahmed Hassanien, Mathieu Léonardon
2023	—	`conf`	Federated learning compression designed for lightweight communications. ICECS Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2023	J	`jnl`	Federated learning compression designed for lightweight communications. CoRR Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel
2023	—	`conf`	Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. ICECS Hugo Le Blevec, Mathieu Léonardon, Hugo Tessier, Matthieu Arzel
2022	—	`conf`	Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU. SYSINT Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPU. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	—	`conf`	Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. SYSINT Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon
2022	—	`conf`	Leveraging Structured Pruning of Convolutional Neural Networks. SiPS Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	Leveraging Structured Pruning of Convolutional Neural Networks. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan
2022	J	`jnl`	MOL-Based In-Memory Computing of Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. Khaled Alhaj Ali, Amer Baghdadi, Elsa Dupraz, Mathieu Léonardon, Mostafa Rizk, Jean-Philippe Diguet
2022	J	`jnl`	Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2021	—	`conf`	A Flexible and Portable Real-time DVB-S2 Transceiver using Multicore and SIMD CPUs. ISTC Adrien Cassagne, Mathieu Léonardon, Romain Tajan, Camille Leroux, Christophe Jégo, Olivier Aumage, Denis Barthou
2021	—	`conf`	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. ISTC Mathieu Léonardon, Vincent Gripon
2021	J	`jnl`	Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. CoRR Mathieu Léonardon, Vincent Gripon
2020	J	`jnl`	Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. CoRR Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand
2019	J	`jnl`	AFF3CT: A Fast Forward Error Correction Toolbox! SoftwareX 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
2019	J	`jnl`	Fast and Flexible Software Polar List Decoders. J. Signal Process. Syst. Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria
2019	J	`jnl`	Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access Alireza Ghaffari, Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Yvon Savaria
2018	C	`conf`	Custom Low Power Processor for Polar Decoding. ISCAS Mathieu Léonardon, Camille Leroux, David Binet, J. M. Pierre Langlois, Christophe Jégo, Yvon Savaria
2018	—	`conf`	Transport Triggered Polar Decoders. ISTC Mathieu Léonardon, Camille Leroux, Pekka Jääskeläinen, Christophe Jégo, Yvon Savaria
2017	J	`jnl`	Fast and Flexible Software Polar List Decoders. CoRR Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria
2017	—	`conf`	Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux