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Maxence Ernoult
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2020 – today
- 2023
- [c4]Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar:
Energy-based learning algorithms for analog computing: a comparative study. NeurIPS 2023 - [i12]Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar
:
Energy-based learning algorithms for analog computing: a comparative study. CoRR abs/2312.15103 (2023) - 2022
- [c3]Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio:
Towards Scaling Difference Target Propagation by Learning Backprop Targets. ICML 2022: 5968-5987 - [i11]Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio:
Towards Scaling Difference Target Propagation by Learning Backprop Targets. CoRR abs/2201.13415 (2022) - 2021
- [c2]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops 2021: 4640-4649 - [i10]Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz:
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. CoRR abs/2101.05536 (2021) - [i9]Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic metaplasticity in binarized neural networks. CoRR abs/2101.07592 (2021) - [i8]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR abs/2103.08953 (2021) - 2020
- [b1]Maxence Ernoult:
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). Sorbonne University, France, 2020 - [i7]Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic Metaplasticity in Binarized Neural Networks. CoRR abs/2003.03533 (2020) - [i6]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Equilibrium Propagation with Continual Weight Updates. CoRR abs/2005.04168 (2020) - [i5]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. CoRR abs/2005.04169 (2020) - [i4]Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz:
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. CoRR abs/2006.03824 (2020) - [i3]Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier:
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. CoRR abs/2010.07859 (2020)
2010 – 2019
- 2019
- [c1]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. NeurIPS 2019: 7079-7089 - [i2]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:
Microwave neural processing and broadcasting with spintronic nano-oscillators. CoRR abs/1904.11240 (2019) - [i1]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. CoRR abs/1905.13633 (2019) - 2018
- [j1]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:
Vowel recognition with four coupled spin-torque nano-oscillators. Nat. 563(7730): 230-234 (2018)
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