Maxence Ernoult

According to our database, Maxence Ernoult authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards training digitally-tied analog blocks via hybrid gradient computation.

Timothy Nest, Maxence Ernoult

CoRR, 2024

2023

Energy-based learning algorithms for analog computing: a comparative study.

Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar

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.

Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio

Proceedings of the International Conference on Machine Learning, 2022

2021

Training Dynamical Binary Neural Networks With Equilibrium Propagation.

Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier

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).

Maxence Ernoult

PhD thesis, 2020

EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations.

Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier

CoRR, 2020

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

Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz

CoRR, 2020

Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.

Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

CoRR, 2020

Equilibrium Propagation with Continual Weight Updates.

Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

CoRR, 2020

Synaptic Metaplasticity in Binarized Neural Networks.

Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz

CoRR, 2020

2019

Microwave neural processing and broadcasting with spintronic nano-oscillators.

Philippe Talatchian, M. Romera, Sumito Tsunegi, Flavio Abreu Araujo, Vincent Cros, Paolo Bortolotti, Juan Trastoy, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Maxence Ernoult, Damir Vodenicarevic, Tifenn Hirtzlin, Nicolas Locatelli, Damien Querlioz, Julie Grollier

CoRR, 2019

Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input.

Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

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.

Miguel Romera, Philippe Talatchian, Sumito Tsunegi, Flavio Abreu Araujo, Vincent Cros, Paolo Bortolotti, Juan Trastoy, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Maxence Ernoult, Damir Vodenicarevic, Tifenn Hirtzlin, Nicolas Locatelli, Damien Querlioz, Julie Grollier

Nat., 2018