Adrien F. Vincent

26 papers A 1B 2C 2Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Line-based Event Preprocessing: Towards Low-Energy Neuromorphic Computer Vision.
CoRR
Amélie Gruel, Pierre Lewden, Adrien F. Vincent, Sylvain Saïghi
2026 J jnl
Line-based event preprocessing: towards low-energy neuromorphic computer vision.
Neuromorph. Comput. Eng.
Amélie Gruel, Pierre Lewden, Adrien F. Vincent, Sylvain Saïghi
2025 — conf
An ultra low noise, low offset chopper Operational Amplifier in 180 nm technology.
ICECS
Clément Dufossée, Jean-Baptiste Bégueret, Thierry Taris, Adrien F. Vincent, Sylvain Saïghi
2025 — conf
Comparison of Hardware-friendly, Audio-to-spikes Cochlear Encoding for Neuromorphic Processing.
AICAS
Valentin Meunier, Amélie Gruel, Adrien F. Vincent, Sylvain Saïghi
2025 — conf
Performance Evaluation of Neuromorphic Visual Attention Based on Proto-Objects.
AICAS
Amélie Gruel, Adrien F. Vincent, Chip-Hong Chang, Sylvain Saïghi
2024 — conf
Effect of Line Resistance of Passive Memristive Crossbars on Spiking Neural Network Performance.
AICAS
Pierre Lewden, Adrien F. Vincent, Jean Tomas, Chip-Hong Chang, Sylvain Saïghi
2024 — conf
Neuromorphic Event-based Line Detection on SpiNNaker.
AICAS
Amélie Gruel, Adrien F. Vincent, Jean Martinet, Sylvain Saïghi
2023 J jnl
A High-Level Methodology to Evaluate and Optimize Digital Architectures Targeting Spike Encoding.
IEEE Access
Clémence Gillet, Adrien F. Vincent, Bertrand Le Gal, Sylvain Saïghi
2023 J jnl
On-the-Fly Learning With Mixed-Mode Spiking Neural Network and Passive Memristive Array: Application to Neuromorphic Cameras.
IEEE Access
Pierre Lewden, Adrien F. Vincent, Jean Tomas, Sylvain Saïghi
2022 — conf
Flexible design methodology for spike encoding implementation on FPGA.
BioCAS
Clémence Gillet, Adrien F. Vincent, Bertrand Le Gal, Sylvain Saïghi
2022 J jnl
Multilayer spintronic neural networks with radio-frequency connections.
CoRR
Andrew Ross, Nathan Leroux, Arnaud De Riz, Danijela Markovic, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Damien Querlioz, Leandro Martins, Luana Benetti, Marcel S. Claro, Pedro Anacleto, Alejandro Schulman, Thierry Taris, Jean-Baptiste Bégueret, Sylvain Saïghi, Alex S. Jenkins, Ricardo Ferreira, Adrien F. Vincent, Alice Mizrahi, Julie Grollier
2020 J jnl
Memristor Hardware-Friendly Reinforcement Learning.
CoRR
Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie
2020 B conf
Toward Hardware Spiking Neural Networks with Mixed-Signal Event-Based Learning Rules.
IJCNN
Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Sylvain Saïghi
2019 — conf
Hardware Spiking Neural Networks: Slow Tasks Resilient Learning with Longer Term-Memory Bits.
BioCAS
Pierre Lewden, Adrien F. Vincent, Charly Meyer, Jean Tomas, Shidoush Siami, Sylvain Saïghi
2019 — conf
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction.
NANOARCH
Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz
2019 J jnl
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction.
CoRR
Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz
2019 C conf
Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits.
ISCAS
Nan Wu, Adrien F. Vincent, Dmitri B. Strukov
2018 — conf
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks.
ICECS
Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz
2018 J jnl
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks.
CoRR
Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz
2017 — conf
Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems.
ACM Great Lakes Symposium on VLSI
Adrien F. Vincent, Nicolas Locatelli, Qifan Wu, Damien Querlioz
2016 J jnl
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures.
CoRR
Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz
2016 B conf
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.
IJCNN
Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz
2015 J jnl
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems.
IEEE Trans. Biomed. Circuits Syst.
Adrien F. Vincent, Jerome Larroque, Nicolas Locatelli, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Weisheng Zhao, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz
2015 A conf
Spintronic devices as key elements for energy-efficient neuroinspired architectures.
DATE
Nicolas Locatelli, Adrien F. Vincent, Alice Mizrahi, Joseph S. Friedman, Damir Vodenicarevic, Joo-Von Kim, Jacques-Olivier Klein, Weisheng Zhao, Julie Grollier, Damien Querlioz
2014 — conf
Monte Carlo simulations of carbon nanotube networks for optoelectronic applications.
NANOARCH
Miguel Diez-Garcia, Adrien F. Vincent, Nicolas Izard, Damien Querlioz
2014 C conf
Spin-transfer torque magnetic memory as a stochastic memristive synapse.
ISCAS
Adrien F. Vincent, Jerome Larroque, Weisheng Zhao, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz