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Books and Theses
- 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
Journal Articles
- 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)
Conference and Workshop Papers
- 2023
- [c4]Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar:
Energy-based learning algorithms for analog computing: a comparative study. NeurIPS 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 - 2021
- [c2]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops 2021: 4640-4649 - 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
Informal and Other Publications
- 2024
- [i13]Timothy Nest, Maxence Ernoult:
Towards training digitally-tied analog blocks via hybrid gradient computation. CoRR abs/2409.03306 (2024) - 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
- [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
- [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
- [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) - 2019
- [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)
Coauthor Index
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