Adrien F. Vincent

Orcid: 0000-0002-9770-4236

According to our database1, Adrien F. Vincent authored at least 18 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
On-the-Fly Learning With Mixed-Mode Spiking Neural Network and Passive Memristive Array: Application to Neuromorphic Cameras.
IEEE Access, 2023

A High-Level Methodology to Evaluate and Optimize Digital Architectures Targeting Spike Encoding.
IEEE Access, 2023

2022
Multilayer spintronic neural networks with radio-frequency connections.
CoRR, 2022

Flexible design methodology for spike encoding implementation on FPGA.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2020
Memristor Hardware-Friendly Reinforcement Learning.
CoRR, 2020

Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019

Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Hardware Spiking Neural Networks: Slow Tasks Resilient Learning with Longer Term-Memory Bits.
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019

2018
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

2017
Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2016
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures.
CoRR, 2016

Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems.
IEEE Trans. Biomed. Circuits Syst., 2015

Bioinspired Programming of Memory Devices for Implementing an Inference Engine.
Proc. IEEE, 2015

Spintronic devices as key elements for energy-efficient neuroinspired architectures.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
Monte Carlo simulations of carbon nanotube networks for optoelectronic applications.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014

Spin-transfer torque magnetic memory as a stochastic memristive synapse.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014


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