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Benoît Miramond

22
Documents

Présentation

Benoît Miramond est professeur au laboratoire LEAT de l'Université Côte d'Azur à Sophia-Antipolis. Auparavant, il était maître de conférence au laboratoire ETIS de l'Université de Cergy-Pontoise. Benoît Miramond a reçu l'Habilitation (HDR) en sciences de l'ingénieur et des systèmes en 2014 et le titre de doctorat en informatique en 2003. Il est actuellement à la tête du groupe d'ingénierie neuromorphique eBRAIN du LEAT. Il dirige le projet de recherche suivants : - projet ANR DeepSee (Deep Spiking Neural Networks for embedded systems) en collaboration avec les entreprises Renault, Prophesee et les laboratoires Cerco et I3S. Le projet se déroule de mars 2021 à septembre 2024. - projet international ANR SOMA (Architecture de machine auto-organisée basée) en collaboration avec l'INRIA de Bordeaux, le LORIA de Nancy et l'HESSO de Genève de 2018 à 2022. Dans ce contexte, ses recherches suivent une approche interdisciplinaire pour explorer de nouvelles architectures matérielles adaptatives et faible consommation inspirées des neurosciences et des sciences cognitives pour des applications d'Intelligence Artificielle embarquée. Plus de détails sur [http://sites.unice.fr/site/bmiramond/Perso/](http://sites.unice.fr/site/bmiramond/Perso/ "Page web Miramond")
Benoît Miramond is Full Professor at LEAT Lab in the Université Côte d'Azur in Sophia-Antipolis. Previously, from 2005 to 2015, he was Associate Professor in the ETIS Lab in the University of Cergy-Pontoise. Benoît Miramond received the Habilitation thesis in sciences of engineering and systems in 2014 and the title of PhD in computer sciences in 2003. He is currently the head of the eBRAIN research group in Neuromorphic Engineering from LEAT lab. He is leader of the following research projects : - international ANR project SOMA (neural-based Self-Organizing Machine Architecture) in collaboration with INRIA at Bordeaux, LORIA at Nancy and HESSO in Geneva from 2018 to 2021. - ANR DeepSee (Deep Spiking Neural Networks for Embedded and Autonomous systems) with Renault, Prophesee and the resarch labs Cerco and I3S. The project goes from march 2021 to september 2024. In this context, his research is following an interdisciplinary approach to explore novel adaptive and low-power hardware architectures inspired from neurosciences and cognitive sciences for embedded AI applications. More details: [http://sites.unice.fr/site/bmiramond/Perso/](http://sites.unice.fr/site/bmiramond/Perso/ "Web Page for Miramond Benoit")

Publications

50589

Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks

Yann Cherdo , Benoit Miramond , Alain Pegatoquet , Alain Vallauri
Sensors, 2023, 23 (11), pp.50/5013. ⟨10.3390/s23115013⟩
Article dans une revue hal-04112839v1

SPIDEN: deep Spiking Neural Networks for efficient image denoising

Andrea Castagnetti , Alain Pegatoquet , Benoit Miramond
Frontiers in Neuroscience, inPress, 17, pp.1-14. ⟨10.3389/fnins.2023.1224457⟩
Article dans une revue hal-04172824v1

Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems

Edgar Lemaire , Benoit Miramond , Sébastien Bilavarn , Hadi Saoud , Nassim Abderrahmane
ACM Transactions on Embedded Computing Systems (TECS), 2022, 37 (4), pp.26. ⟨10.1145/3520133⟩
Article dans une revue hal-03593593v1

UCA-EHAR: a dataset for Human Activity Recognition with embedded AI on smart glasses

Pierre-Emmanuel Novac , Alain Pegatoquet , Benoit Miramond , Christophe Caquineau
Applied Sciences, 2022, Sensor-Based Human Activity Recognition in Real-World Scenarios, pp.22. ⟨10.3390/app12083849⟩
Article dans une revue hal-03637445v1
Image document

Quantization and Deployment of Deep Neural Networks on Microcontrollers

Pierre-Emmanuel Novac , Ghouthi Boukli Hacene , Alain Pegatoquet , Benoit Miramond , Vincent Gripon
Sensors, 2021, 21 (9), p1-p2 / 2984. ⟨10.3390/s21092984⟩
Article dans une revue hal-03208457v1

Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association

Lyes Khacef , Laurent Rodriguez , Benoit Miramond
ERCIM News, 2021, 125, pp.22-23
Article dans une revue hal-03210876v1
Image document

Design Space Exploration of hardware spiking neurons for embedded Artificial Intelligence

Nassim Abderrahmane , Edgar Lemaire , Benoit Miramond
Neural Networks, 2020, 121, pp.366-386. ⟨10.1016/j.neunet.2019.09.024⟩
Article dans une revue hal-02298826v1

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning

Lyes Khacef , Laurent Rodriguez , Benoit Miramond
Electronics, inPress, 9 (1605), pp.1-32. ⟨10.3390/electronics9101605⟩
Article dans une revue hal-02951790v1

Estimation of Energy Efficiency of Spiking Neural Networks on neuromorphic hardware

Benoit Miramond
Conférence INT, Iinstitut de Neurosciences de la Timone, Mar 2023, Marseille (13), France
Communication dans un congrès hal-04044438v1

Cortex Inspired Learning to Recover Damaged Signal Modality by ReD-SOM Model

Artem Muliukov , Laurent Rodriguez , Benoit Miramond
IJCNN 2023, IEEE, Jun 2023, Gold Coast, Australia, Australia. pp.01-09, ⟨10.1109/IJCNN54540.2023.10191701⟩
Communication dans un congrès hal-04141988v1

Time series prediction and anomaly detection with recurrent spiking neural networks

Yann Cherdo , Benoit Miramond , Alain Pegatoquet
IJCNN 2023, IEEE, Jun 2023, Queensland, Australia. pp.10, ⟨10.1109/IJCNN54540.2023.10191614⟩
Communication dans un congrès hal-04138502v1

An Analytical Estimation of Spiking Neural Networks Energy Efficiency

Edgar Lemaire , Loîc Cordone , Andrea Castagnetti , Pierre-Emmanuel Novac , Jonathan Courtois
International Conference on Neural Information Processing ( ICONIP), Nov 2022, ITT Indore, India. pp.8, ⟨10.1007/978-3-031-30105-6_48⟩
Communication dans un congrès hal-03875214v1

Self-Organizing Neurons: Toward Brain-Inspired Multimodal Association

Lyes Khacef , Laurent Rodriguez , Benoit Miramond
Neural Interfaces and Artificial Senses (NIAS), Sep 2021, Online, Spain. pp.1, ⟨10.29363/nanoge.nias.2021.007⟩
Communication dans un congrès hal-03355250v1

Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks

Loic Cordone , Benoit Miramond , Sonia Ferrante
International Joint Conference On Neural Networks 2021 (IJCNN 2021), Jul 2021, Conférence virtuelle, China. pp.1-8
Communication dans un congrès hal-03208690v1

Neuromorphic architectures, a support to third generation of Artificial Neural Networks and a new path toward low-power embedded AI

Benoit Miramond
Micro Innovation Day II, pôle SCS., Oct 2021, Marseille, France
Communication dans un congrès hal-03435985v1

Improving Self-Organizing Maps with Unsupervised Feature Extraction

Lyes Khacef , Laurent Rodriguez , Benoit Miramond
International Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.474-486
Communication dans un congrès hal-02934260v1

Neural coding: adapting spike generation for embedded hardware classification

Nassim Abderrahmane , Benoit Miramond
IEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8, ⟨10.1109/IJCNN48605.2020.9207702⟩
Communication dans un congrès hal-02515109v1

GPU-based Self-Organizing-Maps for Post-Labeled Few-Shot Unsupervised Learning

Lyes Khacef , Vincent Gripon , Benoit Miramond
International Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.404-416, ⟨10.1007/978-3-030-63833-7_34⟩
Communication dans un congrès hal-02934233v1

An FPGA-based Hybrid Neural Network accelerator for embedded satellite image classification

Edgar Lemaire , Matthieu Moretti , Lionel Daniel , Benoit Miramond , Philippe Millet
IEEE International Symposium on Circuit and Systems (ISCAS 2020), May 2020, Seville, Spain. pp.5, ⟨10.1109/ISCAS45731.2020.9180625⟩
Communication dans un congrès hal-02445183v1

Spike Nets for low power image processing

Benoit Miramond
4th Huawei Future ISP (Image Signal Processing) technologies workshop, Sep 2020, Sophia Antipolis, France
Communication dans un congrès hal-02959675v1

Space Use-Case: Onboard Satellite Image Classification

Edgar Lemaire , Philippe Millet , Benoit Miramond , Sébastien Bilavarn , Hadi Saoud
springer. Towards Ubiquitous, Low-power Image Processing Platforms, , pp.199-218, 2020, 978-3-030-53532-2. ⟨10.1007/978-3-030-53532-2_12⟩
Chapitre d'ouvrage hal-02880903v1