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Matthieu Arzel
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2020 – today
- 2025
- [c41]Hugo Le Blevec
, Mathieu Léonardon
, Stefan Weithoffer
, Matthieu Arzel
:
FPGA-Oriented Design Space Exploration of a Real-Time Road Scene Semantic Segmentation Deep Neural Network. FPGA 2025: 54 - 2024
- [c40]Ismail Amessegher, Hajer Fradi, Clémence Liard, Jean-Philippe Diguet, Panagiotis Papadakis
, Matthieu Arzel:
Simulating Aerial Event-Based Environment: Application to Car Detection. ERF (1) 2024: 143-147 - [c39]Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
FLoCoRA: Federated Learning Compression with Low-Rank Adaptation. EUSIPCO 2024: 1786-1790 - [c38]Thibault Piana, Abdeldjalil Aïssa-El-Bey, Matthieu Arzel, Alain Thomas:
Sparse Coding Techniques for Adjustable Lossy Compression of Baseband Signals in Centralized and Virtualized Communication Systems. EUSIPCO 2024: 2142-2146 - [c37]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 - [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
- [c36]Hugo Le Blevec, Mathieu Léonardon, Hugo Tessier, Matthieu Arzel:
Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. ICECS 2023: 1-4 - [c35]Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
Federated learning compression designed for lightweight communications. ICECS 2023: 1-4 - [i7]Lucas Grativol Ribeiro, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
Federated learning compression designed for lightweight communications. CoRR abs/2310.14693 (2023) - 2022
- [j13]Hugo Tessier
, Vincent Gripon
, Mathieu Léonardon
, Matthieu Arzel
, Thomas Hannagan
, David Bertrand:
Rethinking Weight Decay for Efficient Neural Network Pruning. J. Imaging 8(3): 64 (2022) - [c34]Abdul Rehman, Gaëtan Le Guelvouit, Jean Dion, Frédéric Guilloud, Matthieu Arzel:
DWT Collusion Resistant Video Watermarking Using Tardos Family Codes. IPAS 2022: 1-6 - [c33]Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan:
Leveraging Structured Pruning of Convolutional Neural Networks. SiPS 2022: 1-6 - [c32]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 - [i6]Hugo Tessier, Vincent Gripon, Mathieu Léonardon, Matthieu Arzel, David Bertrand, Thomas Hannagan:
Leveraging Structured Pruning of Convolutional Neural Networks. CoRR abs/2206.06247 (2022) - [i5]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
- [b1]Matthieu Arzel:
Traiter et transmettre l'information à haut débit, à énergie réduite, avec flexibilité : le grand écart dans trois directions. University of Southern Brittany, France, 2021 - [c31]Aomar Bourenane, Matthieu Arzel
, Frédéric Guilloud, Alain Thomas:
Shuffled Decoding of Serial Concatenated Convolutional Codes. ISTC 2021: 1-5 - 2020
- [c30]Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel
, Nicolas Farrugia, Yoshua Bengio:
Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks. NEWCAS 2020: 206-209 - [i4]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
- [j12]Benoit Larras
, Paul Chollet
, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
A Fully Flexible Circuit Implementation of Clique-Based Neural Networks in 65-nm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(5): 1704-1715 (2019) - [j11]Ghouthi Boukli Hacene
, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. J. Signal Process. Syst. 91(9): 1063-1073 (2019) - [c29]Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. NEWCAS 2019: 1-4 - [i3]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Efficient Hardware Implementation of Incremental Learning and Inference on Chip. CoRR abs/1911.07847 (2019) - 2018
- [c28]Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
A fully flexible circuit implementation of clique-based neural networks in 65-nm CMOS. ISCAS 2018: 1-4 - [c27]Erwan Libessart, Matthieu Arzel
, Cyril Lahuec, Francesco Paolo Andriulli:
40 Gop/s/mm2 fixed-point operators for Brain Computer Interface in 65 nm CMOS. ISCAS 2018: 1-4 - [i2]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Transfer Incremental Learning using Data Augmentation. CoRR abs/1810.02020 (2018) - [i1]Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel
, Nicolas Farrugia, Yoshua Bengio:
Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. CoRR abs/1812.11337 (2018) - 2017
- [j10]Erwan Libessart, Matthieu Arzel
, Cyril Lahuec, Francesco Paolo Andriulli:
A Scaling-Less Newton-Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operator. IEEE Signal Process. Lett. 24(6): 789-793 (2017) - [c26]Franck Cornevaux-Juignet, Matthieu Arzel
, Pierre-Henri Horrein, Tristan Groleat, Christian Person:
Combining FPGAs and processors for high-throughput forensics IEEE CNS 17 poster. CNS 2017: 388-389 - [c25]Franck Cornevaux-Juignet, Matthieu Arzel
, Pierre-Henri Horrein, Tristan Groleat, Christian Person:
Open-source flexible packet parser for high data rate agile network probe. CNS 2017: 610-618 - [c24]Paul Chollet, Remi Pallas, Cyril Lahuec, Matthieu Arzel
, Fabrice Seguin:
A sub-nJ CMOS ECG classifier for wireless smart sensor. EMBC 2017: 3840-3843 - [c23]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Incremental learning on chip. GlobalSIP 2017: 789-792 - [c22]Benoit Larras, Paul Chollet, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture. ISCAS 2017: 1-4 - [c21]Paul Chollet, Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
An ultra-low power iterative clique-based neural network integrated in 65-nm CMOS. NEWCAS 2017: 5-8 - [c20]Erwan Libessart, Matthieu Arzel
, Cyril Lahuec, Francesco Paolo Andriulli:
A scaling-less Newton-Raphson pipelined implementation for a fixed-point inverse square root operator. NEWCAS 2017: 157-160 - [c19]Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel
, Michel Jézéquel:
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories. SiPS 2017: 1-6 - 2016
- [j9]Ali Haroun, Charbel Abdel Nour
, Matthieu Arzel
, Christophe Jégo:
Low-Complexity Soft Detection of QAM Demapper for a MIMO System. IEEE Commun. Lett. 20(4): 732-735 (2016) - [j8]Benoit Larras
, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
Ultra-Low-Energy Mixed-Signal IC Implementing Encoded Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(11): 1974-1985 (2016) - [c18]Pierre-Henri Horrein, Philip-Dylan Gleonec, Erwan Libessart, André Lalevee, Matthieu Arzel:
Ouessant: Flexible integration of dedicated coprocessors in Systems on Chip. DATE 2016: 1493-1496 - [c17]André Lalevee, Pierre-Henri Horrein, Matthieu Arzel
, Michael Hübner, Sandrine Vaton:
AutoReloc: Automated Design Flow for Bitstream Relocation on Xilinx FPGAs. DSD 2016: 14-21 - [c16]Paul Chollet, Kevin Colombier, Cyril Lahuec, Matthieu Arzel
, Fabrice Seguin:
Toward sub-pJ per classification in Body Area Sensor Networks. NEWCAS 2016: 1-4 - 2015
- [c15]Benoit Larras, Cyril Lahuec, Fabrice Seguin, Matthieu Arzel
:
Design of analog subthreshold Encoded Neural Network circuit in sub-100nm CMOS. IJCNN 2015: 1-7 - 2014
- [j7]Tristan Groleat, Sandrine Vaton, Matthieu Arzel
:
High-speed flow-based classification on FPGA. Int. J. Netw. Manag. 24(4): 253-271 (2014) - [j6]Daniel Gomez Toro, Matthieu Arzel, Fabrice Seguin, Michel Jézéquel:
Soft Error Detection and Correction Technique for Radiation Hardening Based on C-element and BICS. IEEE Trans. Circuits Syst. II Express Briefs 61-II(12): 952-956 (2014) - [c14]Ali Haroun, Charbel Abdel Nour
, Matthieu Arzel
, Christophe Jégo:
Low-complexity layered BP-based detection and decoding for a NB-LDPC coded MIMO system. ICC 2014: 5107-5112 - [c13]Ali Haroun, Charbel Abdel Nour
, Matthieu Arzel
, Christophe Jégo:
Low-complexity LDPC-coded iterative MIMO receiver based on belief propagation algorithm for detection. ISTC 2014: 213-217 - [c12]Ali Haroun, Charbel Abdel Nour
, Matthieu Arzel
, Christophe Jégo:
Symbol-based BP detection for MIMO systems associated with non-binary LDPC codes. WCNC 2014: 212-217 - 2013
- [c11]Tristan Groleat, Matthieu Arzel, Sandrine Vaton, Alban Bourge, Yannick Le Balch, Hicham Bougdal, Manuel Aranaz Padron:
Flexible, extensible, open-source and affordable FPGA-based traffic generator. HPPN@HPDC 2013: 23-30 - [c10]Benoit Larras, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin:
Analog implementation of encoded neural networks. ISCAS 2013: 1612-1615 - [c9]Daniel Gomez Toro, Fabrice Seguin, Matthieu Arzel, Michel Jézéquel:
Study of a cosmic ray impact on combinatorial logic circuits of an 8bit SAR ADC in 65nm CMOS technology. MWSCAS 2013: 241-244 - [c8]Benoit Larras, Bartosz Boguslawski, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin, Frédéric Heitzmann:
Analog encoded neural network for power management in MPSoC. NEWCAS 2013: 1-4 - [c7]Tuan Anh Truong, Hao Lin, Bruno Jahan, Matthieu Arzel, Michel Jézéquel:
PAPR reduction using contiguous-tone Tone Reservation technique in optical OFDM IMDD transmissions. OFC/NFOEC 2013: 1-3 - 2012
- [c6]Jean Dion, Marie-Hélène Hamon, Pierre Penard, Matthieu Arzel, Michel Jézéquel:
Multi-standard trellis-based FEC decoder. DASIP 2012: 1-7 - [c5]Jean Dion, Marie-Hélène Hamon, Pierre Penard, Matthieu Arzel
, Michel Jézéquel:
Adapted scheduling of QC-LDPC decoding for multistandard receivers. ISTC 2012: 111-115 - [c4]Tristan Groleat, Matthieu Arzel, Sandrine Vaton:
Hardware acceleration of SVM-based traffic classification on FPGA. IWCMC 2012: 443-449 - [c3]Romain Heloir, Camille Leroux, Saied Hemati, Matthieu Arzel, Warren J. Gross:
Stochastic chase decoder for reed-solomon codes. NEWCAS 2012: 5-8 - 2011
- [j5]Cyril Lahuec, Shaban Almouahed, Matthieu Arzel, Deepak Gupta, Chafiaâ Hamitouche, Michel Jézéquel, Eric Stindel, Christian Roux:
A Self-Powered Telemetry System to Estimate the Postoperative Instability of a Knee Implant. IEEE Trans. Biomed. Eng. 58(3): 822-825 (2011) - [j4]Matthieu Arzel, Cyril Lahuec, Christophe Jégo, Warren J. Gross, Yvain Bruned
:
Stochastic Multiple Stream Decoding of Cortex Codes. IEEE Trans. Signal Process. 59(7): 3486-3491 (2011) - 2010
- [j3]Quang Trung Dong, Matthieu Arzel
, Christophe Jégo, Warren J. Gross:
Stochastic Decoding of Turbo Codes. IEEE Trans. Signal Process. 58(12): 6421-6425 (2010)
2000 – 2009
- 2009
- [j2]Nicolas Duchaux, Cyril Lahuec, Matthieu Arzel, Fabrice Seguin:
Analog Decoder Performance Degradation Due to BJTs' Parasitic Elements. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(11): 2402-2410 (2009) - 2007
- [j1]Matthieu Arzel
, Cyril Lahuec, Fabrice Seguin, David Gnaedig, Michel Jézéquel:
Semi-Iterative Analog Turbo Decoding. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(6): 1305-1316 (2007) - 2006
- [c2]Matthieu Arzel, Fabrice Seguin, Cyril Lahuec, Michel Jézéquel:
Semi-iterative analog turbo decoding. ISCAS 2006 - 2005
- [c1]Matthieu Arzel
, Cyril Lahuec, Fabrice Seguin, David Gnaedig, Michel Jézéquel:
. Analog slice turbo decoding. ISCAS (1) 2005: 332-335
Coauthor Index

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