Benoît Miramond

Orcid: 0000-0002-1229-7046

According to our database1, Benoît Miramond authored at least 60 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks.
Sensors, 2023

Neural information coding for efficient spike-based image denoising.
CoRR, 2023

Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

Time series prediction and anomaly detection with recurrent spiking neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems.
ACM Trans. Embed. Comput. Syst., November, 2022

Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs.
J. Syst. Archit., 2022

A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models.
CoRR, 2022

Object Detection with Spiking Neural Networks on Automotive Event Data.
Proceedings of the International Joint Conference on Neural Networks, 2022

SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery.
Proceedings of the International Joint Conference on Neural Networks, 2022

An Analytical Estimation of Spiking Neural Networks Energy Efficiency.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Quantization and Deployment of Deep Neural Networks on Microcontrollers.
Sensors, 2021

Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association.
ERCIM News, 2021

Self-Organizing Machine Architecture.
ERCIM News, 2021

Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence.
Neural Networks, 2020

Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning.
CoRR, 2020

An FPGA-Based Hybrid Neural Network Accelerator for Embedded Satellite Image Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Neural coding: adapting spike generation for embedded hardware classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving Self-Organizing Maps with Unsupervised Feature Extraction.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Dynamic Structural and Computational Resource Allocation for Self-Organizing Architectures.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020

Toward unsupervised Human Activity Recognition on Microcontroller Units.
Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

2019
Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions.
Int. J. Semantic Comput., 2019

Specialized visual sensor coupled to a dynamic neural field for embedded attentional process.
Proceedings of the IEEE Sensors Applications Symposium, 2019

Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based application.
Proceedings of the IEEE Sensors Applications Symposium, 2019

QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Self-organizing neurons: toward brain-inspired unsupervised learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Information Coding and Hardware Architecture of Spiking Neural Networks.
Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019

Synchronous approach for modeling spiking neurons.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
Neuromorphic hardware as a self-organizing computing system.
CoRR, 2018

Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies.
Proceedings of the IFIP/IEEE International Conference on Very Large Scale Integration, 2018

Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots.
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018

A distributed cellular approach of large scale SOM models for hardware implementation.
Proceedings of the IEEE International Conference on Image Processing, 2018

Confronting machine-learning with neuroscience for neuromorphic architectures design.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps.
Proceedings of the 9th International Conference on Ambient Systems, 2018

Pruning Self-Organizing Maps for Cellular Hardware Architectures.
Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems, 2018

2016
Attention-based smart-camera for spatial cognition.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016

Generation of schedule tables on multi-core systems for AUTOSAR applications.
Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016

FPGA-based bio-inspired architecture for multi-scale attentional vision.
Proceedings of the 2016 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2016

2015
Embedded and real-time architecture for bio-inspired vision-based robot navigation.
J. Real Time Image Process., 2015

Toward a Sparse Self-Organizing Map for Neuromorphic Architectures.
ACM J. Emerg. Technol. Comput. Syst., 2015

Hardware design of a neural processing unit for bio-inspired computing.
Proceedings of the IEEE 13th International New Circuits and Systems Conference, 2015

2014
Dynamic parallel reconfiguration for self-adaptive hardware architectures.
Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems, 2014

2013
A neural model for hardware plasticity in artificial vision systems.
Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing, 2013

Session 6: Smart and adaptive devices.
Proceedings of the 2013 Conference on Design and Architectures for Signal and Image Processing, 2013

2012
Enhancing Reconfigurable Platforms Programmability for Synchronous Data-Flow Applications.
ACM Trans. Reconfigurable Technol. Syst., 2012

Embodied Computing: Self-adaptation in Bio-inspired Reconfigurable Architectures.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Middleware based executive for embedded reconfigurable platforms.
Proceedings of the 2012 Conference on Design and Architectures for Signal and Image Processing, 2012

2011
Self-organization of reconfigurable processing elements during mobile robots missions.
Proceedings of the 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2011

Dataflow programming model for reconfigurable computing.
Proceedings of the 6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2011

2010
Generation of static tables in embedded memory with dense scheduling.
Proceedings of the 2010 Conference on Design & Architectures for Signal & Image Processing, 2010

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

Run-Time HW/SW Scheduling of Data Flow Applications on Reconfigurable Architectures.
EURASIP J. Embed. Syst., 2009

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

Using High-Level RTOS Models for HW/SW Embedded Architecture Exploration: Case Study on Mobile Robotic Vision.
EURASIP J. Embed. Syst., 2008

Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip.
Proceedings of the 19th IEEE/IFIP International Symposium on Rapid System Prototyping: RSP 2009, 2008

A Framework for the Exploration of RTOS Dedicated to the Management of Hardware Reconfigurable Resources.
Proceedings of the ReConFig'08: 2008 International Conference on Reconfigurable Computing and FPGAs, 2008

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

2005
Decision guide environment for design space exploration.
Proceedings of 10th IEEE International Conference on Emerging Technologies and Factory Automation, 2005

Design Space Exploration for Dynamically Reconfigurable Architectures.
Proceedings of the 2005 Design, 2005


  Loading...