Maxence Ernoult

22 papers A* 4Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning. CoRR Guillaume Pourcel, Debabrota Basu, Maxence Ernoult, Aditya Gilra
2025	J	`jnl`	Learning long range dependencies through time reversal symmetry breaking. CoRR Guillaume Pourcel, Maxence Ernoult
2024	A*	`conf`	Towards training digitally-tied analog blocks via hybrid gradient computation. NeurIPS Timothy Nest, Maxence Ernoult
2024	J	`jnl`	Towards training digitally-tied analog blocks via hybrid gradient computation. CoRR Timothy Nest, Maxence Ernoult
2023	A*	`conf`	Energy-based learning algorithms for analog computing: a comparative study. NeurIPS Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar
2023	J	`jnl`	Energy-based learning algorithms for analog computing: a comparative study. CoRR Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar
2022	A*	`conf`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. ICML Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2022	J	`jnl`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. CoRR Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2021	J	`jnl`	Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. CoRR Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz
2021	J	`jnl`	Synaptic metaplasticity in binarized neural networks. CoRR Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
2021	—	`conf`	Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
2021	J	`jnl`	Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
2020	J	`jnl`	Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. CoRR Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
2020	J	`jnl`	EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. CoRR Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier
2020	J	`jnl`	Equilibrium Propagation with Continual Weight Updates. CoRR Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
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
2020	J	`jnl`	Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. CoRR Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz
2020	J	`jnl`	Synaptic Metaplasticity in Binarized Neural Networks. CoRR Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
2019	J	`jnl`	Microwave neural processing and broadcasting with spintronic nano-oscillators. CoRR 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
2019	A*	`conf`	Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. NeurIPS Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
2019	J	`jnl`	Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. CoRR Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
2018	J	`jnl`	Vowel recognition with four coupled spin-torque nano-oscillators. Nat. 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