Benoît Miramond

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 49

Top Topics

Anomaly Detection

Unsupervised Learning

Top Venues

Publications

Thomas Louis, Benoît Miramond, Alain Pegatoquet, Adrien Girard
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. CoRR (2024)
Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, Alain Pegatoquet, Benoît Miramond
Embedded event based object detection with spiking neural network. CoRR (2024)
Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. IJCNN (2023)
Yann Cherdo, Benoît Miramond, Alain Pegatoquet, Alain Vallauri
Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks. Sensors 23 (11) (2023)
Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. CoRR (2023)
Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
Neural information coding for efficient spike-based image denoising. CoRR (2023)
Yann Cherdo, Benoît Miramond, Alain Pegatoquet
Time series prediction and anomaly detection with recurrent spiking neural networks. IJCNN (2023)
Loïc Cordone, Benoît Miramond, Philippe Thiérion
Object Detection with Spiking Neural Networks on Automotive Event Data. CoRR (2022)
Zhuoer Li, Edgar Lemaire, Nassim Abderrahmane, Sébastien Bilavarn, Benoît Miramond
Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs. J. Syst. Archit. 133 (2022)
Nassim Abderrahmane, Benoît Miramond, Erwann Kervennic, Adrien Girard
SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. IJCNN (2022)
Edgar Lemaire, Benoît Miramond, Sébastien Bilavarn, Hadi Saoud, Nassim Abderrahmane
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Loïc Cordone, Benoît Miramond, Philippe Thiérion
Object Detection with Spiking Neural Networks on Automotive Event Data. IJCNN (2022)
Edgar Lemaire, Loïc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benoît Miramond
An Analytical Estimation of Spiking Neural Networks Energy Efficiency. ICONIP (1) (2022)
Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond, Lyes Khacef, Joachim Schmidt, Quentin Berthet, Andres Upegui
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. CoRR (2022)
Edgar Lemaire, Loïc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benoît Miramond
An Analytical Estimation of Spiking Neural Networks Energy Efficiency. CoRR (2022)
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. ERCIM News 2021 (125) (2021)
Bernard Girau, Benoît Miramond, Nicolas P. Rougier, Andres Upegui
Self-Organizing Machine Architecture. ERCIM News 2021 (125) (2021)
Loïc Cordone, Benoît Miramond, Sonia Ferrante
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. CoRR (2021)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors 21 (9) (2021)
Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon
Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR (2021)
Loïc Cordone, Benoît Miramond, Sonia Ferrante
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. IJCNN (2021)
Nassim Abderrahmane, Benoît Miramond
Neural coding: adapting spike generation for embedded hardware classification. IJCNN (2020)
Lyes Khacef, Vincent Gripon, Benoît Miramond
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. ICONIP (2) (2020)
Lyes Khacef, Vincent Gripon, Benoît Miramond
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. CoRR (2020)
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Improving Self-Organizing Maps with Unsupervised Feature Extraction. CoRR (2020)
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. CoRR (2020)
Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. Neural Networks 121 (2020)
Pierre-Emmanuel Novac, Andrea Castagnetti, Adrien Russo, Benoît Miramond, Alain Pegatoquet, François Verdier
Toward unsupervised Human Activity Recognition on Microcontroller Units. DSD (2020)
Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Improving Self-Organizing Maps with Unsupervised Feature Extraction. ICONIP (2) (2020)
Edgar Lemaire, Matthieu Moretti, Lionel Daniel, Benoît Miramond, Philippe Millet, Frédéric Feresin, Sébastien Bilavarn
An FPGA-Based Hybrid Neural Network Accelerator for Embedded Satellite Image Classification. ISCAS (2020)
Pierre-Emmanuel Novac, Andres Upegui, Diego Barrientos, Claudio Sousa, Laurent Rodriguez, Benoît Miramond
Dynamic Structural and Computational Resource Allocation for Self-Organizing Architectures. ICECS (2020)
Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond, Michel Auguin
Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions. Int. J. Semantic Comput. 13 (4) (2019)
Lyes Khacef, Benoît Miramond, Diego Barrientos, Andres Upegui
Self-organizing neurons: toward brain-inspired unsupervised learning. IJCNN (2019)
Roland Kromes, Adrien Russo, Benoît Miramond, François Verdier
Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based application. SAS (2019)
Marino Rasamuel, Daniel Gaffé, Timothée Levi, Benoît Miramond
Synchronous approach for modeling spiking neurons. BioCAS (2019)
Nassim Abderrahmane, Benoît Miramond
Information Coding and Hardware Architecture of Spiking Neural Networks. DSD (2019)
Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. CoRR (2019)
Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond, Michel Auguin
QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach. IRC (2019)
Marino Rasamuel, Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Specialized visual sensor coupled to a dynamic neural field for embedded attentional process. SAS (2019)
Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond, Michel Auguin
Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots. IRC (2018)
Lorena Anghel, Denys Ly, Giorgio Di Natale, Benoît Miramond, Elena Ioana Vatajelu, Elisa Vianello
Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies. VLSI-SoC (2018)
Lyes Khacef, Bernard Girau, Nicolas P. Rougier, Andres Upegui, Benoît Miramond
Neuromorphic hardware as a self-organizing computing system. CoRR (2018)
Andres Upegui, Bernard Girau, Nicolas P. Rougier, Fabien Vannel, Benoît Miramond
Pruning Self-Organizing Maps for Cellular Hardware Architectures. AHS (2018)
Lyes Khacef, Nassim Abderrahmane, Benoît Miramond
Confronting machine-learning with neuroscience for neuromorphic architectures design. IJCNN (2018)
Adrien Russo, François Verdier, Benoît Miramond
Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps. ANT/SEIT (2018)
Laurent Rodriguez, Lyes Khacef, Benoît Miramond
A distributed cellular approach of large scale SOM models for hardware implementation. IPAS (2018)
Nicolas Cuperlier, Hakim Guedjou, Frederic de Melo, Benoît Miramond
Attention-based smart-camera for spatial cognition. ICDSC (2016)
Wenhao Wang, Fabrice Camut, Benoît Miramond
Generation of schedule tables on multi-core systems for AUTOSAR applications. DASIP (2016)
Nicolas Cuperlier, Frederic de Melo, Benoît Miramond
FPGA-based bio-inspired architecture for multi-scale attentional vision. DASIP (2016)
Laurent Fiack, Laurent Rodriguez, Benoît Miramond
Hardware design of a neural processing unit for bio-inspired computing. NEWCAS (2015)
Laurent Rodriguez, Benoît Miramond, Bertrand Granado
Toward a Sparse Self-Organizing Map for Neuromorphic Architectures. ACM J. Emerg. Technol. Comput. Syst. 11 (4) (2015)
Laurent Fiack, Nicolas Cuperlier, Benoît Miramond
Embedded and real-time architecture for bio-inspired vision-based robot navigation. J. Real Time Image Process. 10 (4) (2015)
Laurent Fiack, Benoît Miramond, Andres Upegui, Fabien Vannel
Dynamic parallel reconfiguration for self-adaptive hardware architectures. AHS (2014)
Laurent Rodriguez, Laurent Fiack, Benoît Miramond
A neural model for hardware plasticity in artificial vision systems. DASIP (2013)
Benoît Miramond
Session 6: Smart and adaptive devices. DASIP (2013)
Laurent Rodriguez, Benoît Miramond, Imen Kalbousi, Bertrand Granado
Embodied Computing: Self-adaptation in Bio-inspired Reconfigurable Architectures. IPDPS Workshops (2012)
Amel Khiar, N. Knecht, Laurent Gantel, S. Lkad, Benoît Miramond
Middleware based executive for embedded reconfigurable platforms. DASIP (2012)
Laurent Gantel, Amel Khiar, Benoît Miramond, Mohamed El Amine Benkhelifa, Lounis Kessal, Fabrice Lemonnier, Jimmy Le Rhun
Enhancing Reconfigurable Platforms Programmability for Synchronous Data-Flow Applications. ACM Trans. Reconfigurable Technol. Syst. 5 (3) (2012)
Laurent Gantel, Amel Khiar, Benoît Miramond, Mohamed El Amine Benkhelifa, Fabrice Lemonnier, Lounis Kessal
Dataflow programming model for reconfigurable computing. ReCoSoC (2011)
Laurent Rodriguez, Jérôme Fellus, Benoît Miramond
Self-organization of reconfigurable processing elements during mobile robots missions. ReCoSoC (2011)
Benoît Miramond, Liliana Cucu-Grosjean
Generation of static tables in embedded memory with dense scheduling. DASIP (2010)
Fakhreddine Ghaffari, Benoît Miramond, François Verdier
Run-Time HW/SW Scheduling of Data Flow Applications on Reconfigurable Architectures. EURASIP J. Embed. Syst. 2009 (2009)
Benoît Miramond, Emmanuel Huck, François Verdier, Mohamed El Amine Benkhelifa, Bertrand Granado, Thomas LeFebvre, Mehdi Aïchouch, Jean-Christophe Prévotet, Yaset Oliva, Daniel Chillet, Sébastien Pillement
OveRSoC: A Framework for the Exploration of RTOS for RSoC Platforms. Int. J. Reconfigurable Comput. 2009 (2009)
Benoît Miramond
Technique de réduction adaptative de l'espace de recherche pour les méthodes d'optimisation par recherche locale. Tech. Sci. Informatiques 27 (5) (2008)
François Verdier, Benoît Miramond, Mickaël Maillard, Emmanuel Huck, Thomas LeFebvre
Using High-Level RTOS Models for HW/SW Embedded Architecture Exploration: Case Study on Mobile Robotic Vision. EURASIP J. Embed. Syst. 2008 (2008)
Jean-Christophe Prévotet, Mohamed El Amine Benkhelifa, Bertrand Granado, Emmanuel Huck, Benoît Miramond, François Verdier, Daniel Chillet, Sébastien Pillement
A Framework for the Exploration of RTOS Dedicated to the Management of Hardware Reconfigurable Resources. ReConFig (2008)
Fakhreddine Ghaffari, Benoît Miramond, François Verdier
Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip. IEEE International Workshop on Rapid System Prototyping (2008)
Benoît Miramond
Technique de réduction d'ordonnancements hors-ligne pour applications embarquAes à contraintes temps-réel. Optimisation hors-ligne d'ordonnancements temps-réel. Tech. Sci. Informatiques 25 (7) (2006)
Benoît Miramond, Jean-Marc Delosme
Decision guide environment for design space exploration. ETFA (2005)
Benoît Miramond, Jean-Marc Delosme
Design Space Exploration for Dynamically Reconfigurable Architectures. DATE (2005)