Design Space Exploration for Dynamically Reconfigurable Architectures. - Benoît Miramond; Jean-Marc Delosme (DATE, 2005)

Decision guide environment for design space exploration. - Benoît Miramond; Jean-Marc Delosme (ETFA, 2005)

Technique de réduction d'ordonnancements hors-ligne pour applications embarquAes à contraintes temps-réel. Optimisation hors-ligne d'ordonnancements temps-réel. - Benoît Miramond (Tech. Sci. Informatiques, 2006)

A Framework for the Exploration of RTOS Dedicated to the Management of Hardware Reconfigurable Resources. - Jean-Christophe Prévotet; Mohamed El Amine Benkhelifa; Bertrand Granado; Emmanuel Huck; Benoît Miramond; François Verdier; Daniel Chillet; Sébastien Pillement (ReConFig, 2008)

Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip. - Fakhreddine Ghaffari; Benoît Miramond; François Verdier (IEEE International Workshop on Rapid System Prototyping, 2008)

Using High-Level RTOS Models for HW/SW Embedded Architecture Exploration: Case Study on Mobile Robotic Vision. - François Verdier; Benoît Miramond; Mickaël Maillard; Emmanuel Huck; Thomas LeFebvre (EURASIP J. Embed. Syst., 2008)

Technique de réduction adaptative de l'espace de recherche pour les méthodes d'optimisation par recherche locale. - Benoît Miramond (Tech. Sci. Informatiques, 2008)

Run-Time HW/SW Scheduling of Data Flow Applications on Reconfigurable Architectures. - Fakhreddine Ghaffari; Benoît Miramond; François Verdier (EURASIP J. Embed. Syst., 2009)

OveRSoC: A Framework for the Exploration of RTOS for RSoC Platforms. - 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 (Int. J. Reconfigurable Comput., 2009)

Generation of static tables in embedded memory with dense scheduling. - Benoît Miramond; Liliana Cucu-Grosjean (DASIP, 2010)

Dataflow programming model for reconfigurable computing. - Laurent Gantel; Amel Khiar; Benoît Miramond; Mohamed El Amine Benkhelifa; Fabrice Lemonnier; Lounis Kessal (ReCoSoC, 2011)

Self-organization of reconfigurable processing elements during mobile robots missions. - Laurent Rodriguez; Jérôme Fellus; Benoît Miramond (ReCoSoC, 2011)

Middleware based executive for embedded reconfigurable platforms. - Amel Khiar; N. Knecht; Laurent Gantel; S. Lkad; Benoît Miramond (DASIP, 2012)

Embodied Computing: Self-adaptation in Bio-inspired Reconfigurable Architectures. - Laurent Rodriguez; Benoît Miramond; Imen Kalbousi; Bertrand Granado (IPDPS Workshops, 2012)

Enhancing Reconfigurable Platforms Programmability for Synchronous Data-Flow Applications. - Laurent Gantel; Amel Khiar; Benoît Miramond; Mohamed El Amine Benkhelifa; Lounis Kessal; Fabrice Lemonnier; Jimmy Le Rhun (ACM Trans. Reconfigurable Technol. Syst., 2012)

Session 6: Smart and adaptive devices. - Benoît Miramond (DASIP, 2013)

A neural model for hardware plasticity in artificial vision systems. - Laurent Rodriguez; Laurent Fiack; Benoît Miramond (DASIP, 2013)

Dynamic parallel reconfiguration for self-adaptive hardware architectures. - Laurent Fiack; Benoît Miramond; Andres Upegui; Fabien Vannel (AHS, 2014)

Hardware design of a neural processing unit for bio-inspired computing. - Laurent Fiack; Laurent Rodriguez; Benoît Miramond (NEWCAS, 2015)

Toward a Sparse Self-Organizing Map for Neuromorphic Architectures. - Laurent Rodriguez; Benoît Miramond; Bertrand Granado (ACM J. Emerg. Technol. Comput. Syst., 2015)

Embedded and real-time architecture for bio-inspired vision-based robot navigation. - Laurent Fiack; Nicolas Cuperlier; Benoît Miramond (J. Real Time Image Process., 2015)

FPGA-based bio-inspired architecture for multi-scale attentional vision. - Nicolas Cuperlier; Frédéric Demelo; Benoît Miramond (DASIP, 2016)

Generation of schedule tables on multi-core systems for AUTOSAR applications. - Wenhao Wang; Fabrice Camut; Benoît Miramond (DASIP, 2016)

Attention-based smart-camera for spatial cognition. - Nicolas Cuperlier; Hakim Guedjou; Frédéric de Melo; Benoît Miramond (ICDSC, 2016)

Pruning Self-Organizing Maps for Cellular Hardware Architectures. - Andres Upegui; Bernard Girau; Nicolas P. Rougier; Fabien Vannel; Benoît Miramond (AHS, 2018)

Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps. - Adrien Russo; François Verdier; Benoît Miramond (ANT/SEIT, 2018)

Confronting machine-learning with neuroscience for neuromorphic architectures design. - Lyes Khacef; Nassim Abderrahmane; Benoît Miramond (IJCNN, 2018)

A distributed cellular approach of large scale SOM models for hardware implementation. - Laurent Rodriguez; Lyes Khacef; Benoît Miramond (IPAS, 2018)

Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots. - Dinh-Khanh Ho; Karim Ben Chehida; Benoît Miramond; Michel Auguin (IRC, 2018)

Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies. - Lorena Anghel; Denys Ly; Giorgio Di Natale; Benoît Miramond; Elena-Ioana Vatajelu; Elisa Vianello (VLSI-SoC, 2018)

Neuromorphic hardware as a self-organizing computing system. - Lyes Khacef; Bernard Girau; Nicolas P. Rougier; Andres Upegui; Benoît Miramond (CoRR, 2018)

Synchronous approach for modeling spiking neurons. - Marino Rasamuel; Daniel Gaffé; Timothée Levi; Benoît Miramond (BioCAS, 2019)

Information Coding and Hardware Architecture of Spiking Neural Networks. - Nassim Abderrahmane; Benoît Miramond (DSD, 2019)

Self-organizing neurons: toward brain-inspired unsupervised learning. - Lyes Khacef; Benoît Miramond; Diego Barrientos; Andres Upegui (IJCNN, 2019)

QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach. - Dinh-Khanh Ho; Karim Ben Chehida; Benoît Miramond; Michel Auguin (IRC, 2019)

Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based application. - Roland Kromes; Adrien Russo; Benoît Miramond; François Verdier (SAS, 2019)

Specialized visual sensor coupled to a dynamic neural field for embedded attentional process. - Marino Rasamuel; Lyes Khacef; Laurent Rodriguez; Benoît Miramond (SAS, 2019)

Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions. - Dinh-Khanh Ho; Karim Ben Chehida; Benoît Miramond; Michel Auguin (Int. J. Semantic Comput., 2019)

Toward unsupervised Human Activity Recognition on Microcontroller Units. - Pierre-Emmanuel Novac; Andrea Castagnetti; Adrien Russo; Benoît Miramond; Alain Pegatoquet; François Verdier (DSD, 2020)

Dynamic Structural and Computational Resource Allocation for Self-Organizing Architectures. - Pierre-Emmanuel Novac; Andres Upegui; Diego Barrientos; Claudio Sousa; Laurent Rodriguez; Benoît Miramond (ICECS, 2020)

GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. - Lyes Khacef; Vincent Gripon; Benoît Miramond (ICONIP (2), 2020)

Improving Self-Organizing Maps with Unsupervised Feature Extraction. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (ICONIP (2), 2020)

Neural coding: adapting spike generation for embedded hardware classification. - Nassim Abderrahmane; Benoît Miramond (IJCNN, 2020)

An FPGA-Based Hybrid Neural Network Accelerator for Embedded Satellite Image Classification. - Edgar Lemaire; Matthieu Moretti; Lionel Daniel; Benoît Miramond; Philippe Millet; Frédéric Feresin; Sébastien Bilavarn (ISCAS, 2020)

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (CoRR, 2020)

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. - Nassim Abderrahmane; Edgar Lemaire; Benoît Miramond (Neural Networks, 2020)

Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. - Loïc Cordone; Benoît Miramond; Sonia Ferrante (IJCNN, 2021)

Self-Organizing Machine Architecture. - Bernard Girau; Benoît Miramond; Nicolas P. Rougier; Andres Upegui (ERCIM News, 2021)

Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. - Lyes Khacef; Laurent Rodriguez; Benoît Miramond (ERCIM News, 2021)

Quantization and Deployment of Deep Neural Networks on Microcontrollers. - Pierre-Emmanuel Novac; Ghouthi Boukli Hacene; Alain Pegatoquet; Benoît Miramond; Vincent Gripon (Sensors, 2021)

An Analytical Estimation of Spiking Neural Networks Energy Efficiency. - Edgar Lemaire; Loïc Cordone; Andrea Castagnetti; Pierre-Emmanuel Novac; Jonathan Courtois; Benoît Miramond (ICONIP (1), 2022)

SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. - Nassim Abderrahmane; Benoît Miramond; Erwann Kervennic; Adrien Girard (IJCNN, 2022)

Object Detection with Spiking Neural Networks on Automotive Event Data. - Loïc Cordone; Benoît Miramond; Philippe Thiérion (IJCNN, 2022)

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models. - Artem R. Muliukov; Laurent Rodriguez; Benoît Miramond; Lyes Khacef; Joachim Schmidt 004; Quentin Berthet; Andres Upegui (CoRR, 2022)

Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs. - Zhuoer Li; Edgar Lemaire; Nassim Abderrahmane; Sébastien Bilavarn; Benoît Miramond (J. Syst. Archit., 2022)

Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems. - Edgar Lemaire; Benoît Miramond; Sébastien Bilavarn; Hadi Saoud; Nassim Abderrahmane (ACM Trans. Embed. Comput. Syst., 2022)

Time series prediction and anomaly detection with recurrent spiking neural networks. - Yann Cherdo; Benoît Miramond; Alain Pegatoquet (IJCNN, 2023)

Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. - Artem R. Muliukov; Laurent Rodriguez; Benoît Miramond (IJCNN, 2023)

Neural information coding for efficient spike-based image denoising. - Andrea Castagnetti; Alain Pegatoquet; Benoît Miramond (CoRR, 2023)

Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks. - Yann Cherdo; Benoît Miramond; Alain Pegatoquet; Alain Vallauri (Sensors, 2023)

On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. - Thomas Louis; Alain Pegatoquet; Benoît Miramond; Adrien Girard (ICANN (10), 2024)

Embedded event based object detection with spiking neural network. - Jonathan Courtois; Pierre-Emmanuel Novac; Edgar Lemaire; Alain Pegatoquet; Benoît Miramond (IJCNN, 2024)

Predictive Data-Driven Energy Efficiency in a Field-Deployed Wireless Sensor Network. - Imourane Abdoulaye; Anthony Vigneron; Laurent Rodriguez; Cécile Belleudy; Benoît Miramond (IEEE Trans. Instrum. Meas., 2025)

Spiking monocular event based 6D pose estimation for space application. - Jonathan Courtois; Benoît Miramond; Alain Pegatoquet (CoRR, 2025)

Enhanced Neuromorphic Semantic Segmentation Latency through Stream Event. - D. Hareb; Jean Martinet; Benoît Miramond (CoRR, 2025)