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Julie Grollier
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2020 – today
- 2024
- [i31]Dongshu Liu
, Jérémie Laydevant, Adrien Pontlevy, Damien Querlioz, Julie Grollier:
Unsupervised End-to-End Training with a Self-Defined Bio-Inspired Target. CoRR abs/2403.12116 (2024) - [i30]Ali Momeni, Babak Rahmani, Benjamin Scellier, Logan G. Wright, Peter L. McMahon, Clara C. Wanjura, Yuhang Li, Anas Skalli, Natalia G. Berloff, Tatsuhiro Onodera, Ilker Oguz
Training of Physical Neural Networks. CoRR abs/2406.03372 (2024) - [i29]Erwan Plouet, Dédalo Sanz-Hernández, Aymeric Vecchiola, Julie Grollier, Frank Mizrahi:
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification. CoRR abs/2408.02835 (2024) - [i28]Xing Chen, Dongshu Liu, Jérémie Laydevant, Julie Grollier:
Self-Contrastive Forward-Forward Algorithm. CoRR abs/2409.11593 (2024) - 2023
- [j8]Sumito Tsunegi, Tomoyuki Kubota, Akira Kamimaki
Information Processing Capacity of Spintronic Oscillator. Adv. Intell. Syst. 5(9) (2023) - [j7]Sergey Prosandeev
Designing polar textures with ultrafast neuromorphic features from atomistic simulations. Neuromorph. Comput. Eng. 3(1): 12002 (2023) - [i27]Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i26]Jérémie Laydevant, Danijela Markovic, Julie Grollier:
Training an Ising Machine with Equilibrium Propagation. CoRR abs/2305.18321 (2023) - [i25]Tristan da Câmara Santa Clara Gomes
Neuromorphic weighted sum with magnetic skyrmions. CoRR abs/2310.16909 (2023) - 2022
- [j6]Dennis V. Christensen
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j5]Nathan Leroux
Convolutional neural networks with radio-frequency spintronic nano-devices. Neuromorph. Comput. Eng. 2(3): 34002 (2022) - [j4]Marie Drouhin
Characterization and modeling of spiking and bursting in experimental NbO x neuron. Neuromorph. Comput. Eng. 2(4): 44008 (2022) - [i24]Axel Hoffmann, Shriram Ramanathan, Julie Grollier, Andrew D. Kent, Marcelo Rozenberg, Ivan K. Schuller, Oleg Shpyrko, Robert Dynes, Yeshaiahu Fainman, Alex Frano, Eric E. Fullerton, Giulia Galli, Vitaliy Lomakin, Shyue Ping Ong, Amanda K. Petford-Long, Jonathan A. Schuller, Mark D. Stiles, Yayoi Takamura, Yimei Zhu:
Quantum materials for energy-efficient neuromorphic computing. CoRR abs/2204.01832 (2022) - [i23]Marie Drouhin, Shuai Li, Matthieu Grelier, Sophie Collin, Florian Godel, Robert Glen Elliman, Bruno Dlubak, Juan Trastoy, Damien Querlioz, Julie Grollier:
Characterization and modeling of spiking and bursting in experimental NbOx neuron. CoRR abs/2209.00413 (2022) - [i22]Nathan Leroux, Danijela Markovic, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Alejandro Schulman, Luana Benetti, Alex Jenkins
RF signal classification in hardware with an RF spintronic neural network. CoRR abs/2211.01131 (2022) - [i21]Andrew Ross, Nathan Leroux, Arnaud De Riz, Danijela Markovic, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Damien Querlioz, Leandro Martins
Multilayer spintronic neural networks with radio-frequency connections. CoRR abs/2211.03659 (2022) - 2021
- [j3]Nathan Leroux
Hardware realization of the multiply and accumulate operation on radio-frequency signals with magnetic tunnel junctions. Neuromorph. Comput. Eng. 1(1): 11001 (2021) - [c10]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops 2021: 4640-4649 - [p1]Mathieu Riou, Jacob Torrejon, Flavio Abreu Araujo
Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators. Reservoir Computing 2021: 307-329 - [i20]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) - [i19]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR abs/2103.08953 (2021) - [i18]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i17]Xing Chen, Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Dafine Ravelosona, Wang Kang, Weisheng Zhao, Julie Grollier, Damien Querlioz:
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations. CoRR abs/2108.02318 (2021) - [i16]Danijela Markovic, Matthew W. Daniels, Pankaj Sethi
Easy-plane spin Hall nano-oscillators as spiking neurons for neuromorphic computing. CoRR abs/2110.06737 (2021) - [i15]Nathan Leroux, Arnaud De Riz, Dédalo Sanz-Hernández, Danijela Markovic, Alice Mizrahi, Julie Grollier:
Convolutional Neural Networks with Radio-Frequency Spintronic Nano-Devices. CoRR abs/2111.04961 (2021) - 2020
- [i14]Danijela Markovic, Alice Mizrahi, Damien Querlioz, Julie Grollier:
Physics for Neuromorphic Computing. CoRR abs/2003.04711 (2020) - [i13]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Equilibrium Propagation with Continual Weight Updates. CoRR abs/2005.04168 (2020) - [i12]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. CoRR abs/2005.04169 (2020) - [i11]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) - [i10]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
- [c9]Damien Querlioz, Julie Grollier, Tifenn Hirtzlin, Jacques-Olivier Klein
Memory-Centric Neuromorphic Computing With Nanodevices. BioCAS 2019: 1-4 - [c8]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 - [i9]Mathieu Riou, Flavio Abreu Araujo
Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator. CoRR abs/1904.11236 (2019) - [i8]Philippe Talatchian, M. Romera, Sumito Tsunegi, Flavio Abreu Araujo
Microwave neural processing and broadcasting with spintronic nano-oscillators. CoRR abs/1904.11240 (2019) - [i7]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) - [i6]Flavio Abreu Araujo, Mathieu Riou, Jacob Torrejon, Sumito Tsunegi, Damien Querlioz, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Role of non-linear data processing on speech recognition task in the framework of reservoir computing. CoRR abs/1906.02812 (2019) - 2018
- [j2]Miguel Romera
Vowel recognition with four coupled spin-torque nano-oscillators. Nat. 563(7730): 230-234 (2018) - [c7]Charly Meyer, Andre Chanthbouala, Soren Boyn, Jean Tomas, Vincent Garcia
Verilog-A model of ferroelectric memristors dedicated to neuromorphic design. ICECS 2018: 557-560 - [c6]Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi, Tifenn Hirtzlin, Joseph S. Friedman, Julie Grollier, Damien Querlioz:
Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions. ISCAS 2018: 1-4 - [i5]Alice Mizrahi, Julie Grollier, Damien Querlioz, Mark D. Stiles:
Overcoming device unreliability with continuous learning in a population coding based computing system. CoRR abs/1806.00399 (2018) - 2017
- [c5]Damir Vodenicarevic, Alice Mizrahi, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Spintronic nanoscillators for unconventional circuits. ECCTD 2017: 1-4 - [i4]Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo
Neuromorphic computing with nanoscale spintronic oscillators. CoRR abs/1701.07715 (2017) - 2016
- [j1]Julie Grollier, Damien Querlioz, Mark D. Stiles
Spintronic Nanodevices for Bioinspired Computing. Proc. IEEE 104(10): 2024-2039 (2016) - [c4]Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Synchronization detection in networks of coupled oscillators for pattern recognition. IJCNN 2016: 2015-2022 - [i3]Julie Grollier, Damien Querlioz, Mark D. Stiles:
Spintronic nano-devices for bio-inspired computing. CoRR abs/1606.07700 (2016) - [i2]Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Synchronization Detection in Networks of Coupled Oscillators for Pattern Recognition. CoRR abs/1607.01983 (2016) - [i1]Alice Mizrahi, Julie Grollier, Damien Querlioz:
Bio-inspired intelligent sensory processing with nanoscale stochastic magnetic tunnel junctions. CoRR abs/1610.09394 (2016) - 2015
- [c3]Nicolas Locatelli, Adrien F. Vincent, Alice Mizrahi, Joseph S. Friedman, Damir Vodenicarevic, Joo-Von Kim, Jacques-Olivier Klein, Weisheng Zhao, Julie Grollier, Damien Querlioz:
Spintronic devices as key elements for energy-efficient neuroinspired architectures. DATE 2015: 994-999 - [c2]Nicolas Locatelli, Damir Vodenicarevic, Weisheng Zhao, Jacques-Olivier Klein
Vortex-based spin transfer oscillator compact model for IC design. ISCAS 2015: 589-592 - 2014
- [c1]Gwendal Lecerf, Jean Tomas, Soren Boyn
Silicon neuron dedicated to memristive spiking neural networks. ISCAS 2014: 1568-1571
Coauthor Index
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last updated on 2024-11-06 21:34 CET by the dblp team
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