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Mathieu Léonardon
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2020 – today
- 2024
- [c14]Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
FLoCoRA: Federated Learning Compression with Low-Rank Adaptation. EUSIPCO 2024: 1786-1790 - [c13]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: 1-5 - [c12]R. Kanda, Naoya Onizawa, Mathieu Léonardon, Vincent Gripon, Takahiro Hanyu:
Design Environment of Quantization-Aware Edge AI Hardware for Few-Shot Learning. MWSCAS 2024: 928-931 - [i9]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 abs/2404.19354 (2024) - [i8]Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
FLoCoRA: Federated learning compression with low-rank adaptation. CoRR abs/2406.14082 (2024) - 2023
- [c11]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: 4656-4664 - [c10]Hugo Le Blevec, Mathieu Léonardon, Hugo Tessier, Matthieu Arzel:
Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. ICECS 2023: 1-4 - [c9]Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
Federated learning compression designed for lightweight communications. ICECS 2023: 1-4 - [i7]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 abs/2304.09049 (2023) - [i6]Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
Federated learning compression designed for lightweight communications. CoRR abs/2310.14693 (2023) - 2022
- [j5]Hugo Tessier
, Vincent Gripon
Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging 8(3): 64 (2022) - [j4]Khaled Alhaj Ali
MOL-Based In-Memory Computing of Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30(7): 869-880 (2022) - [c8]Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan:
Leveraging Structured Pruning of Convolutional Neural Networks. SiPS 2022: 1-6 - [c7]Hamoud Younes, Hugo Le Blevec, Mathieu Léonardon, Vincent Gripon:
Inter-Operability of Compression Techniques for Efficient Deployment of CNNs on Microcontrollers. SYSINT 2022: 543-552 - [c6]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: 553-563 - [i5]Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan:
Leveraging Structured Pruning of Convolutional Neural Networks. CoRR abs/2206.06247 (2022) - [i4]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 abs/2206.06255 (2022) - 2021
- [c5]Adrien Cassagne
A Flexible and Portable Real-time DVB-S2 Transceiver using Multicore and SIMD CPUs. ISTC 2021: 1-5 - [c4]Mathieu Léonardon, Vincent Gripon:
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. ISTC 2021: 1-5 - [i3]Mathieu Léonardon, Vincent Gripon:
Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes. CoRR abs/2105.04922 (2021) - 2020
- [i2]Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, Thomas Hannagan, David Bertrand:
Continuous Pruning of Deep Convolutional Networks Using Selective Weight Decay. CoRR abs/2011.10520 (2020)
2010 – 2019
- 2019
- [j3]Alireza Ghaffari
Toward High-Performance Implementation of 5G SCMA Algorithms. IEEE Access 7: 10402-10414 (2019) - [j2]Adrien Cassagne
AFF3CT: A Fast Forward Error Correction Toolbox! SoftwareX 10: 100345 (2019) - [j1]Mathieu Léonardon
Fast and Flexible Software Polar List Decoders. J. Signal Process. Syst. 91(8): 937-952 (2019) - 2018
- [c3]Mathieu Léonardon, Camille Leroux, David Binet, J. M. Pierre Langlois, Christophe Jégo, Yvon Savaria:
Custom Low Power Processor for Polar Decoding. ISCAS 2018: 1-5 - [c2]Mathieu Léonardon, Camille Leroux, Pekka Jääskeläinen
Transport Triggered Polar Decoders. ISTC 2018: 1-5 - 2017
- [c1]Alireza Ghaffari, Mathieu Léonardon, Yvon Savaria, Christophe Jégo, Camille Leroux:
Improving performance of SCMA MPA decoders using estimation of conditional probabilities. NEWCAS 2017: 21-24 - [i1]Mathieu Léonardon, Adrien Cassagne, Camille Leroux, Christophe Jégo, Louis-Philippe Hamelin, Yvon Savaria:
Fast and Flexible Software Polar List Decoders. CoRR abs/1710.08314 (2017)
Coauthor Index
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