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Madeleine Abernot
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2020 – today
- 2024
- [j5]Corentin Delacour, Stefania Carapezzi, Madeleine Abernot, Aida Todri-Sanial:
Energy-Performance Assessment of Oscillatory Neural Networks Based on VO2 Devices for Future Edge AI Computing. IEEE Trans. Neural Networks Learn. Syst. 35(7): 10045-10058 (2024) - 2023
- [b1]Madeleine Abernot:
Digital oscillatory neural network implementation on FPGA for edge artificial intelligence applications and learning. (Implémentation de réseaux de neurones oscillatoires digitaux sur FPGA pour des application et de l'apprentissage pour l'intelligence). University of Montpellier, France, 2023 - [j4]Madeleine Abernot, Aida Todri-Sanial:
Training energy-based single-layer Hopfield and oscillatory networks with unsupervised and supervised algorithms for image classification. Neural Comput. Appl. 35(25): 18505-18518 (2023) - [j3]Madeleine Abernot, Aida Todri-Sanial:
Simulation and implementation of two-layer oscillatory neural networks for image edge detection: bidirectional and feedforward architectures. Neuromorph. Comput. Eng. 3(1): 14006 (2023) - [j2]Corentin Delacour, Stefania Carapezzi, Gabriele Boschetto, Madeleine Abernot, Thierry Gil, Nadine Azémard, Aida Todri-Sanial:
A mixed-signal oscillatory neural network for scalable analog computations in phase domain. Neuromorph. Comput. Eng. 3(3): 34004 (2023) - [c10]Madeleine Abernot, Corentin Delacour, Ahmet Suna, J. Marty Gregg, Siegfried F. Karg, Aida Todri-Sanial:
Two-Layered Oscillatory Neural Networks with Analog Feedforward Majority Gate for Image Edge Detection Application. ISCAS 2023: 1-5 - [c9]Edgar Luhulima, Madeleine Abernot, Federico Corradi, Aida Todri-Sanial:
Digital Implementation of On-Chip Hebbian Learning for Oscillatory Neural Network. ISLPED 2023: 1-6 - [c8]Chukwufumnanya Ogbogu, Madeleine Abernot, Corentin Delacour, Aida Todri-Sanial, Sudeep Pasricha, Partha Pratim Pande:
Energy-Efficient Machine Learning Acceleration: From Technologies to Circuits and Systems. ISLPED 2023: 1-8 - [c7]Madeleine Abernot, Sylvain Gauthier, Théophile Gonos, Aida Todri-Sanial:
SIFT-ONN: SIFT Feature Detection Algorithm Employing ONNs for Edge Detection. NICE 2023: 100-107 - 2022
- [j1]Aida Todri-Sanial, Stefania Carapezzi, Corentin Delacour, Madeleine Abernot, Thierry Gil, Elisabetta Corti, Siegfried F. Karg, Juan Núñez, Manuel Jiménez Través, Maria J. Avedillo, Bernabé Linares-Barranco:
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1996-2009 (2022) - [c6]Madeleine Abernot, Thierry Gil, Aida Todri-Sanial:
On-Chip Learning with a 15-neuron Digital Oscillatory Neural Network Implemented on ZYNQ Processor. ICONS 2022: 29:1-29:4 - [c5]Madeleine Abernot, Thierry Gil, Evgenii Kurylin, Tanguy Hardelin, Alexandre Magueresse, Théophile Gonos, Manuel Jiménez Través, Maria José Avedillo, Aida Todri-Sanial:
Oscillatory Neural Networks for Obstacle Avoidance on Mobile Surveillance Robot E4. IJCNN 2022: 1-8 - [c4]Madeleine Abernot, Hamza Amara, Thierry Gil, Aida Todri-Sanial:
Oscillatory Neural Network for Edge Computing: A Mobile Robot Obstacle Avoidance Application. MetroXRAINE 2022: 181-186 - [c3]Madeleine Abernot, Thierry Gil, Aida Todri-Sanial:
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection. NICE 2022: 13-21 - [i1]Madeleine Abernot, Thierry Gil, Aida Todri-Sanial:
Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection. CoRR abs/2202.12541 (2022) - 2021
- [c2]Corentin Delacour, Stefania Carapezzi, Madeleine Abernot, Gabriele Boschetto, Nadine Azémard, Jérémie Salles, Thierry Gil, Aida Todri-Sanial:
Oscillatory Neural Networks for Edge AI Computing. ISVLSI 2021: 326-331 - [c1]Stefania Carapezzi, Corentin Delacour, Gabriele Boschetto, Elisabetta Corti, Madeleine Abernot, Ahmed Nejim, Thierry Gil, Siegfried F. Karg, Aida Todri-Sanial:
Multi-Scale Modeling and Simulation Flow for Oscillatory Neural Networks for Edge Computing. NEWCAS 2021: 1-5
Coauthor Index
aka: Aida Todri-Sanial
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last updated on 2024-10-07 21:24 CEST by the dblp team
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