Maxence Ernoult

According to our database1, Maxence Ernoult authored at least 12 papers between 2018 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Energy-based learning algorithms for analog computing: a comparative study.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets.
Proceedings of the International Conference on Machine Learning, 2022

2021
Synaptic metaplasticity in binarized neural networks.
CoRR, 2021

Training Dynamical Binary Neural Networks With Equilibrium Propagation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Rethinking biologically inspired learning algorithmstowards better credit assignment for on-chip learning. (Repenser les algorithmes d'apprentissage inspirés de la biologie pour estimer les gradients par la physique des systèmes neuromorphiques).
PhD thesis, 2020

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations.
CoRR, 2020

Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.
CoRR, 2020

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
CoRR, 2020

Equilibrium Propagation with Continual Weight Updates.
CoRR, 2020

2019
Microwave neural processing and broadcasting with spintronic nano-oscillators.
CoRR, 2019

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Vowel recognition with four coupled spin-torque nano-oscillators.
Nat., 2018


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