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Benoît Miramond
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2020 – today
- 2024
- [c42]Thomas Louis
, Alain Pegatoquet, Benoît Miramond, Adrien Girard:
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. ICANN (10) 2024: 407-421 - [c41]Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, Alain Pegatoquet, Benoît Miramond:
Embedded event based object detection with spiking neural network. IJCNN 2024: 1-8 - [i16]Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire, Alain Pegatoquet, Benoît Miramond:
Embedded event based object detection with spiking neural network. CoRR abs/2406.17617 (2024) - [i15]Thomas Louis, Benoît Miramond, Alain Pegatoquet, Adrien Girard:
On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural Networks. CoRR abs/2406.18350 (2024) - 2023
- [j14]Yann Cherdo
Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks. Sensors 23(11): 5013 (2023) - [c40]Yann Cherdo
Time series prediction and anomaly detection with recurrent spiking neural networks. IJCNN 2023: 1-10 - [c39]Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond:
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. IJCNN 2023: 1-9 - [i14]Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond:
Neural information coding for efficient spike-based image denoising. CoRR abs/2305.11898 (2023) - [i13]Artem R. Muliukov, Laurent Rodriguez, Benoît Miramond:
Cortex Inspired Learning to Recover Damaged Signal Modality with ReD-SOM Model. CoRR abs/2307.15095 (2023) - 2022
- [j13]Zhuoer Li
Efficiency analysis of artificial vs. Spiking Neural Networks on FPGAs. J. Syst. Archit. 133: 102765 (2022) - [j12]Edgar Lemaire, Benoît Miramond
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems. ACM Trans. Embed. Comput. Syst. 21(6): 75:1-75:26 (2022) - [c38]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: 574-587 - [c37]Nassim Abderrahmane
SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imagery. IJCNN 2022: 1-10 - [c36]Loïc Cordone, Benoît Miramond
Object Detection with Spiking Neural Networks on Automotive Event Data. IJCNN 2022: 1-8 - [i12]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 abs/2201.02262 (2022) - [i11]Loïc Cordone, Benoît Miramond, Philippe Thiérion:
Object Detection with Spiking Neural Networks on Automotive Event Data. CoRR abs/2205.04339 (2022) - [i10]Edgar Lemaire, Loïc Cordone, Andrea Castagnetti, Pierre-Emmanuel Novac, Jonathan Courtois, Benoît Miramond
An Analytical Estimation of Spiking Neural Networks Energy Efficiency. CoRR abs/2210.13107 (2022) - 2021
- [j11]Pierre-Emmanuel Novac
Quantization and Deployment of Deep Neural Networks on Microcontrollers. Sensors 21(9): 2984 (2021) - [c35]Loïc Cordone, Benoît Miramond
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. IJCNN 2021: 1-8 - [i9]Loïc Cordone, Benoît Miramond, Sonia Ferrante:
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks. CoRR abs/2104.12579 (2021) - [i8]Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon:
Quantization and Deployment of Deep Neural Networks on Microcontrollers. CoRR abs/2105.13331 (2021) - [i7]Bernard Girau, Benoît Miramond, Nicolas P. Rougier, Andres Upegui:
Self-Organizing Machine Architecture. ERCIM News 2021(125) (2021) - [i6]Lyes Khacef, Laurent Rodriguez, Benoît Miramond:
Reentrant Self-Organizing Map: Toward Brain-Inspired Multimodal Association. ERCIM News 2021(125) (2021) - 2020
- [j10]Nassim Abderrahmane
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. Neural Networks 121: 366-386 (2020) - [c34]Pierre-Emmanuel Novac, Andrea Castagnetti, Adrien Russo, Benoît Miramond
Toward unsupervised Human Activity Recognition on Microcontroller Units. DSD 2020: 542-550 - [c33]Pierre-Emmanuel Novac, Andres Upegui
Dynamic Structural and Computational Resource Allocation for Self-Organizing Architectures. ICECS 2020: 1-4 - [c32]Lyes Khacef, Vincent Gripon, Benoît Miramond
GPU-Based Self-Organizing Maps for Post-labeled Few-Shot Unsupervised Learning. ICONIP (2) 2020: 404-416 - [c31]Lyes Khacef, Laurent Rodriguez, Benoît Miramond
Improving Self-Organizing Maps with Unsupervised Feature Extraction. ICONIP (2) 2020: 474-486 - [c30]Nassim Abderrahmane
Neural coding: adapting spike generation for embedded hardware classification. IJCNN 2020: 1-8 - [c29]Edgar Lemaire, Matthieu Moretti, Lionel Daniel, Benoît Miramond
An FPGA-Based Hybrid Neural Network Accelerator for Embedded Satellite Image Classification. ISCAS 2020: 1-5 - [i5]Lyes Khacef
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning. CoRR abs/2004.05488 (2020) - [i4]Lyes Khacef
Improving Self-Organizing Maps with Unsupervised Feature Extraction. CoRR abs/2009.02174 (2020) - [i3]Lyes Khacef
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning. CoRR abs/2009.03665 (2020)
2010 – 2019
- 2019
- [j9]Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond
Learning-Based Adaptive Management of QoS and Energy for Mobile Robotic Missions. Int. J. Semantic Comput. 13(4): 513-539 (2019) - [c28]Marino Rasamuel, Daniel Gaffé
Synchronous approach for modeling spiking neurons. BioCAS 2019: 1-4 - [c27]Nassim Abderrahmane
Information Coding and Hardware Architecture of Spiking Neural Networks. DSD 2019: 291-298 - [c26]Lyes Khacef
Self-organizing neurons: toward brain-inspired unsupervised learning. IJCNN 2019: 1-9 - [c25]Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond
QoS and Energy-Aware Run-Time Adaptation for Mobile Robotic Missions: A Learning Approach. IRC 2019: 212-219 - [c24]Roland Kromes, Adrien Russo, Benoît Miramond
Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based application. SAS 2019: 1-6 - [c23]Marino Rasamuel, Lyes Khacef
Specialized visual sensor coupled to a dynamic neural field for embedded attentional process. SAS 2019: 1-6 - [i2]Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond:
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. CoRR abs/1910.01010 (2019) - 2018
- [c22]Andres Upegui
Pruning Self-Organizing Maps for Cellular Hardware Architectures. AHS 2018: 272-279 - [c21]Adrien Russo, François Verdier, Benoît Miramond
Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps. ANT/SEIT 2018: 1090-1095 - [c20]Lyes Khacef
Confronting machine-learning with neuroscience for neuromorphic architectures design. IJCNN 2018: 1-8 - [c19]Laurent Rodriguez, Lyes Khacef
A distributed cellular approach of large scale SOM models for hardware implementation. IPAS 2018: 250-255 - [c18]Dinh-Khanh Ho, Karim Ben Chehida, Benoît Miramond
Towards a Multi-mission QoS and Energy Manager for Autonomous Mobile Robots. IRC 2018: 270-273 - [c17]Lorena Anghel, Denys Ly
Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies. VLSI-SoC 2018: 176-179 - [i1]Lyes Khacef
Neuromorphic hardware as a self-organizing computing system. CoRR abs/1810.12640 (2018) - 2016
- [c16]Wenhao Wang, Fabrice Camut, Benoît Miramond
Generation of schedule tables on multi-core systems for AUTOSAR applications. DASIP 2016: 191-198 - [c15]Nicolas Cuperlier, Frédéric Demelo, Benoît Miramond
FPGA-based bio-inspired architecture for multi-scale attentional vision. DASIP 2016: 231-232 - [c14]Nicolas Cuperlier, Hakim Guedjou
Attention-based smart-camera for spatial cognition. ICDSC 2016: 121-127 - 2015
- [j8]Laurent Rodriguez, Benoît Miramond
Toward a Sparse Self-Organizing Map for Neuromorphic Architectures. ACM J. Emerg. Technol. Comput. Syst. 11(4): 33:1-33:25 (2015) - [j7]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): 699-722 (2015) - [c13]Laurent Fiack, Laurent Rodriguez, Benoît Miramond
Hardware design of a neural processing unit for bio-inspired computing. NEWCAS 2015: 1-4 - 2014
- [c12]Laurent Fiack, Benoît Miramond
Dynamic parallel reconfiguration for self-adaptive hardware architectures. AHS 2014: 218-224 - 2013
- [c11]Laurent Rodriguez, Laurent Fiack, Benoît Miramond:
A neural model for hardware plasticity in artificial vision systems. DASIP 2013: 30-37 - [c10]Benoît Miramond:
Session 6: Smart and adaptive devices. DASIP 2013: 165 - 2012
- [j6]Laurent Gantel
Enhancing Reconfigurable Platforms Programmability for Synchronous Data-Flow Applications. ACM Trans. Reconfigurable Technol. Syst. 5(3): 14:1-14:16 (2012) - [c9]Amel Khiar, N. Knecht, Laurent Gantel, S. Lkad, Benoît Miramond:
Middleware based executive for embedded reconfigurable platforms. DASIP 2012: 1-6 - [c8]Laurent Rodriguez, Benoît Miramond
Embodied Computing: Self-adaptation in Bio-inspired Reconfigurable Architectures. IPDPS Workshops 2012: 413-418 - 2011
- [c7]Laurent Gantel
Dataflow programming model for reconfigurable computing. ReCoSoC 2011: 1-8 - [c6]Laurent Rodriguez, Jérôme Fellus, Benoît Miramond
Self-organization of reconfigurable processing elements during mobile robots missions. ReCoSoC 2011: 1-2 - 2010
- [c5]Benoît Miramond
Generation of static tables in embedded memory with dense scheduling. DASIP 2010: 105-112
2000 – 2009
- 2009
- [j5]Fakhreddine Ghaffari, Benoît Miramond
Run-Time HW/SW Scheduling of Data Flow Applications on Reconfigurable Architectures. EURASIP J. Embed. Syst. 2009 (2009) - [j4]Benoît Miramond
OveRSoC: A Framework for the Exploration of RTOS for RSoC Platforms. Int. J. Reconfigurable Comput. 2009: 450607:1-450607:22 (2009) - 2008
- [j3]François Verdier, Benoît Miramond
Using High-Level RTOS Models for HW/SW Embedded Architecture Exploration: Case Study on Mobile Robotic Vision. EURASIP J. Embed. Syst. 2008 (2008) - [j2]Benoît Miramond:
Technique de réduction adaptative de l'espace de recherche pour les méthodes d'optimisation par recherche locale. Tech. Sci. Informatiques 27(5): 627-657 (2008) - [c4]Jean-Christophe Prévotet
A Framework for the Exploration of RTOS Dedicated to the Management of Hardware Reconfigurable Resources. ReConFig 2008: 61-66 - [c3]Fakhreddine Ghaffari, Benoît Miramond
Dynamic Adaptation of Hardware-Software Scheduling for Reconfigurable System-on-Chip. IEEE International Workshop on Rapid System Prototyping 2008: 112-118 - 2006
- [j1]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): 867-892 (2006) - 2005
- [c2]Benoît Miramond
Design Space Exploration for Dynamically Reconfigurable Architectures. DATE 2005: 366-371 - [c1]Benoît Miramond
Decision guide environment for design space exploration. ETFA 2005
Coauthor Index
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last updated on 2024-11-11 21:26 CET by the dblp team
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