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2020 – today
- 2024
[i51]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)- [i50]Clement Türck, Kamel-Eddine Harabi, Adrien Pontlevy, Théo Ballet, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
The Logarithmic Memristor-Based Bayesian Machine. CoRR abs/2406.03492 (2024) - [i49]Nikhil Garg, Davide Florini, Patrick Dufour, Eloi Muhr, Mathieu-Coumba Faye, Marc Bocquet, Damien Querlioz, Yann Beilliard, Dominique Drouin, Fabien Alibart, Jean-Michel Portal:
Versatile CMOS Analog LIF Neuron for Memristor-Integrated Neuromorphic Circuits. CoRR abs/2406.19667 (2024) - [i48]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser:
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - 2023
- [c52]Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolo Castellani, Damien Querlioz, Melika Payvand, Elisa Vianello:
Synaptic metaplasticity with multi-level memristive devices. AICAS 2023: 1-5 - [c51]Kamel-Eddine Harabi, Clement Türck, Marie Drouhin, Adrien Renaudineau, Thomas Bersani-Veroni, Damien Querlioz, Tifenn Hirtzlin, Elisa Vianello, Marc Bocquet, Jean-Michel Portal:
A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects. ASP-DAC 2023: 184-185 - [c50]Mona Ezzadeen, Atreya Majumdar, Sigrid Thomas, Jean-Philippe Noël, Bastien Giraud, Marc Bocquet, François Andrieu, Damien Querlioz, Jean-Michel Portal:
Binary ReRAM-based BNN first-layer implementation. DATE 2023: 1-6 - [c49]Clement Türck, Kamel-Eddine Harabi, Tifenn Hirtzlin, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. DATE 2023: 1-2 - [i47]Kamel-Eddine Harabi, Clement Türck, Marie Drouhin, Adrien Renaudineau, Thomas Bersani-Veroni, Damien Querlioz, Tifenn Hirtzlin, Elisa Vianello, Marc Bocquet, Jean-Michel Portal:
A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects. CoRR abs/2302.14577 (2023) - [i46]Fadi Jebali, Atreya Majumdar, Clement Türck, Kamel-Eddine Harabi, Mathieu-Coumba Faye, Eloi Muhr, Jean-Pierre Walder, Oleksandr Bilousov, Amadeo Michaud, Elisa Vianello, Tifenn Hirtzlin, François Andrieu, Marc Bocquet, Stéphane Collin, Damien Querlioz, Jean-Michel Portal:
Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell. CoRR abs/2305.12875 (2023) - [i45]Simone D'Agostino, Filippo Moro, Tifenn Hirtzlin, Julien Arcamone, Niccolo Castellani, Damien Querlioz, Melika Payvand, Elisa Vianello:
Synaptic metaplasticity with multi-level memristive devices. CoRR abs/2306.12142 (2023) - [i44]Djohan Bonnet, Tifenn Hirtzlin, Tarcisius Januel, Thomas Dalgaty, Damien Querlioz, Elisa Vianello:
Bayesian Metaplasticity from Synaptic Uncertainty. CoRR abs/2312.10153 (2023) - 2022
- [j20]Walid Al Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha:
Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks. IEEE Access 10: 84946-84959 (2022) - [j19]Eduardo Esmanhotto, Tifenn Hirtzlin, Djohan Bonnet, Niccolo Castellani, Jean-Michel Portal, Damien Querlioz, Elisa Vianello:
Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy. Adv. Intell. Syst. 4(11) (2022) - [j18]Eduardo Esmanhotto, Tifenn Hirtzlin, Djohan Bonnet, Niccolo Castellani, Jean-Michel Portal, Damien Querlioz, Elisa Vianello:
Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy. Adv. Intell. Syst. 4(11) (2022) - [j17]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 NbO x neuron. Neuromorph. Comput. Eng. 2(4): 44008 (2022) - [c48]Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, S. Martin, Bastien Giraud, François Andrieu, Jean-François Nodin, Damien Querlioz, Jean-Michel Portal, Elisa Vianello:
Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations. IRPS 2022: 8-1 - [i43]Eduardo Esmanhotto, Tifenn Hirtzlin, Niccolo Castellani, S. Martin, Bastien Giraud, François Andrieu, Jean-Francois Nodin, Damien Querlioz, Jean-Michel Portal, Elisa Vianello:
Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations. CoRR abs/2203.01680 (2022) - [i42]Nikhil Garg, Ismael Balafrej, Terrence C. Stewart, Jean-Michel Portal, Marc Bocquet, Damien Querlioz, Dominique Drouin, Jean Rouat, Yann Beilliard, Fabien Alibart:
Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential. CoRR abs/2203.11022 (2022) - [i41]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) - [i40]Andrew Ross, Nathan Leroux, Arnaud De Riz, Danijela Markovic, Dédalo Sanz-Hernández, Juan Trastoy, Paolo Bortolotti, Damien Querlioz, Leandro Martins, Luana Benetti, Marcel S. Claro, Pedro Anacleto, Alejandro Schulman, Thierry Taris, Jean-Baptiste Bégueret, Sylvain Saïghi, Alex S. Jenkins, Ricardo Ferreira, Adrien F. Vincent, Alice Mizrahi, Julie Grollier:
Multilayer spintronic neural networks with radio-frequency connections. CoRR abs/2211.03659 (2022) - 2021
- [j16]Thomas Dalgaty, Eduardo Esmanhotto, Niccolo Castellani, Damien Querlioz, Elisa Vianello:
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware. Adv. Intell. Syst. 3(8): 2000103 (2021) - [j15]Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 138-147 (2021) - [c47]Guillaume Hocquet, Olivier Bichler, Damien Querlioz:
Memory Efficient Invertible Neural Networks for Class-Incremental Learning. AICAS 2021: 1-4 - [c46]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops 2021: 4640-4649 - [c45]Mona Ezzadeen, Atreya Majumdar, Marc Bocquet, Bastien Giraud, Jean-Philippe Noël, François Andrieu, Damien Querlioz, Jean-Michel Portal:
Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges. ESSCIRC 2021: 83-86 - [c44]Mona Ezzadeen, Atreya Majumdar, Marc Bocquet, Bastien Giraud, Jean-Philippe Noël, François Andrieu, Damien Querlioz, Jean-Michel Portal:
Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges. ESSDERC 2021: 83-86 - [c43]Thomas Dalgaty, Elisa Vianello, Damien Querlioz:
Harnessing intrinsic memristor randomness with Bayesian neural networks. ICICDT 2021: 1-4 - [c42]Fadi Jebali, Atreya Majumdar, Axel Laborieux, Tifenn Hirtzlin, Elisa Vianello, Jean-Pierre Walder, Marc Bocquet, Damien Querlioz, Jean-Michel Portal:
CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks. MWSCAS 2021: 158-161 - [p1]Mathieu Riou, Jacob Torrejon, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Nathan Leroux, Danijela Markovic, Vincent Cros, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators. Reservoir Computing 2021: 307-329 - [i39]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) - [i38]Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic metaplasticity in binarized neural networks. CoRR abs/2101.07592 (2021) - [i37]Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier:
Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR abs/2103.08953 (2021) - [i36]Atreya Majumdar, Marc Bocquet, Tifenn Hirtzlin, Axel Laborieux, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks. CoRR abs/2107.06064 (2021) - [i35]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) - [i34]Walid Al Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha:
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks. CoRR abs/2111.07284 (2021) - [i33]Qiming Shao, Zhongrui Wang, Yan Zhou, Shunsuke Fukami, Damien Querlioz, J. Joshua Yang, Yiran Chen, Leon O. Chua:
Spintronic memristors for computing. CoRR abs/2112.02879 (2021) - [i32]Kamel-Eddine Harabi, Tifenn Hirtzlin, Clement Türck, Elisa Vianello, Raphaël Laurent, Jacques Droulez, Pierre Bessière, Jean-Michel Portal, Marc Bocquet, Damien Querlioz:
A Memristor-Based Bayesian Machine. CoRR abs/2112.10547 (2021) - 2020
- [c41]Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse. AICAS 2020: 136-140 - [c40]Bogdan Penkovsky, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications. DATE 2020: 690-695 - [c39]Guillaume Hocquet, Olivier Bichler, Damien Querlioz:
OvA-INN: Continual Learning with Invertible Neural Networks. IJCNN 2020: 1-7 - [c38]Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Embracing the Unreliability of Memory Devices for Neuromorphic Computing. IRPS 2020: 1-5 - [i31]Thomas Dalgaty, Niccolo Castellani, Damien Querlioz, Elisa Vianello:
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. CoRR abs/2001.11426 (2020) - [i30]Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz:
Synaptic Metaplasticity in Binarized Neural Networks. CoRR abs/2003.03533 (2020) - [i29]Danijela Markovic, Alice Mizrahi, Damien Querlioz, Julie Grollier:
Physics for Neuromorphic Computing. CoRR abs/2003.04711 (2020) - [i28]Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Liza Herrera Diez, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse. CoRR abs/2005.01973 (2020) - [i27]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Equilibrium Propagation with Continual Weight Updates. CoRR abs/2005.04168 (2020) - [i26]Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier:
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. CoRR abs/2005.04169 (2020) - [i25]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) - [i24]Bogdan Penkovsky, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications. CoRR abs/2006.11595 (2020) - [i23]Guillaume Hocquet, Olivier Bichler, Damien Querlioz:
OvA-INN: Continual Learning with Invertible Neural Networks. CoRR abs/2006.13772 (2020) - [i22]Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Embracing the Unreliability of Memory Devices for Neuromorphic Computing. CoRR abs/2007.06238 (2020) - [i21]Axel Laborieux, Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Implementation of Ternary Weights with Resistive RAM Using a Single Sense Operation per Synapse. CoRR abs/2007.14234 (2020) - [i20]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
- [j14]Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz:
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7: 73938-73953 (2019) - [j13]Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz:
Stochastic Computing for Hardware Implementation of Binarized Neural Networks. IEEE Access 7: 76394-76403 (2019) - [j12]Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei:
Epileptic Seizure Forecasting With Generative Adversarial Networks. IEEE Access 7: 143999-144009 (2019) - [c37]Tifenn Hirtzlin, Marc Bocquet, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. AICAS 2019: 288-292 - [c36]Damien Querlioz, Julie Grollier, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Marc Bocquet, Jean-Michel Portal, Miguel Romera, Philippe Talatchian:
Memory-Centric Neuromorphic Computing With Nanodevices. BioCAS 2019: 1-4 - [c35]Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. NANOARCH 2019: 1-5 - [c34]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 - [i19]Marc Bocquet, Tifenn Hirtzlin, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks. CoRR abs/1902.02528 (2019) - [i18]Tifenn Hirtzlin, Marc Bocquet, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR abs/1904.03652 (2019) - [i17]Mathieu Riou, Flavio Abreu Araujo, Jacob Torrejon, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Vincent Cros, Kay Yakushiji, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator. CoRR abs/1904.11236 (2019) - [i16]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) - [i15]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) - [i14]Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz:
Stochastic Computing for Hardware Implementation of Binarized Neural Networks. CoRR abs/1906.00915 (2019) - [i13]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) - [i12]Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz:
Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays. CoRR abs/1908.04066 (2019) - [i11]Tifenn Hirtzlin, Bogdan Penkovsky, Jacques-Olivier Klein, Nicolas Locatelli, Adrien F. Vincent, Marc Bocquet, Jean-Michel Portal, Damien Querlioz:
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction. CoRR abs/1908.04085 (2019) - 2018
- [j11]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) - [c33]Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz:
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. ICECS 2018: 553-556 - [c32]Elisa Vianello, Denys R. B. Ly, Selina La Barbera, Thomas Dalgaty, Niccolo Castellani, Gabriele Navarro, Guillaume Bourgeois, Alexandre Valentian, Etienne Nowak, Damien Querlioz:
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks. ICECS 2018: 561-564 - [c31]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 - [i10]Md. Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Jayasimha Atulasimha:
Resonate and Fire Neuron with Fixed Magnetic Skyrmions. CoRR abs/1806.00076 (2018) - [i9]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) - [i8]Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz:
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. CoRR abs/1810.10836 (2018) - 2017
- [j10]Joseph S. Friedman, Jacques Droulez, Pierre Bessière, Jorge Lobo, Damien Querlioz:
Approximation enhancement for stochastic Bayesian inference. Int. J. Approx. Reason. 85: 139-158 (2017) - [c30]Damir Vodenicarevic, Alice Mizrahi, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Spintronic nanoscillators for unconventional circuits. ECCTD 2017: 1-4 - [c29]Adrien F. Vincent, Nicolas Locatelli, Qifan Wu, Damien Querlioz:
Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems. ACM Great Lakes Symposium on VLSI 2017: 317-320 - [c28]Sandip Tiwari, Damien Querlioz:
On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation. ICRC 2017: 1-4 - [c27]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein:
Spatio-temporal learning with arrays of analog nanosynapses. NANOARCH 2017: 125-130 - [i7]Jacob Torrejon, Mathieu Riou, Flavio Abreu Araujo, Sumito Tsunegi, Guru Khalsa, Damien Querlioz, Paolo Bortolotti, Vincent Cros, Akio Fukushima, Hitoshi Kubota, Shinji Yuasa, Mark D. Stiles, Julie Grollier:
Neuromorphic computing with nanoscale spintronic oscillators. CoRR abs/1701.07715 (2017) - [i6]Damir Vodenicarevic, Nicolas Locatelli, Damien Querlioz:
A Neural Network Based on Synchronized Pairs of Nano-Oscillators. CoRR abs/1709.02274 (2017) - [i5]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein:
Spatio-temporal Learning with Arrays of Analog Nanosynapses. CoRR abs/1709.03849 (2017) - 2016
- [j9]Julie Grollier, Damien Querlioz, Mark D. Stiles:
Spintronic Nanodevices for Bioinspired Computing. Proc. IEEE 104(10): 2024-2039 (2016) - [j8]Joseph S. Friedman, Laurie E. Calvet, Pierre Bessière, Jacques Droulez, Damien Querlioz:
Bayesian Inference With Muller C-Elements. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(6): 895-904 (2016) - [c26]Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein:
A recurrent crossbar of memristive nanodevices implements online novelty detection. ICRC 2016: 1-4 - [c25]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Jacques-Olivier Klein, Fabien Alibart, Damien Querlioz:
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures. IJCNN 2016: 947-954 - [c24]Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz:
Synchronization detection in networks of coupled oscillators for pattern recognition. IJCNN 2016: 2015-2022 - [c23]Laurie E. Calvet, Joseph S. Friedman, Damien Querlioz, Pierre Bessière, Jacques Droulez:
Sleep stage classification with stochastic Bayesian inference. NANOARCH 2016: 117-122 - [i4]Julie Grollier, Damien Querlioz, Mark D. Stiles:
Spintronic nano-devices for bio-inspired computing. CoRR abs/1606.07700 (2016) - [i3]Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz:
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures. CoRR abs/1606.08366 (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
- [j7]Djaafar Chabi, Weisheng Zhao, Damien Querlioz, Jacques-Olivier Klein:
On-Chip Universal Supervised Learning Methods for Neuro-Inspired Block of Memristive Nanodevices. ACM J. Emerg. Technol. Comput. Syst. 11(4): 34:1-34:20 (2015) - [j6]Damien Querlioz, Olivier Bichler, Adrien Francis Vincent, Christian Gamrat:
Bioinspired Programming of Memory Devices for Implementing an Inference Engine. Proc. IEEE 103(8): 1398-1416 (2015) - [j5]Adrien F. Vincent, Jerome Larroque, Nicolas Locatelli, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Weisheng Zhao, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz:
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems. IEEE Trans. Biomed. Circuits Syst. 9(2): 166-174 (2015) - [c22]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 - [c21]Nicolas Locatelli, Damir Vodenicarevic, Weisheng Zhao, Jacques-Olivier Klein, Julie Grollier, Damien Querlioz:
Vortex-based spin transfer oscillator compact model for IC design. ISCAS 2015: 589-592 - [c20]Joseph S. Friedman, Damien Querlioz, Alan V. Sahakian:
Magnetoresistance implications for complementary magnetic tunnel junction logic (CMAT). NANOARCH 2015: 143-144 - [c19]Christopher H. Bennett, Djaafar Chabi, Theo Cabaret, Bruno Jousselme, Vincent Derycke, Damien Querlioz, Jacques-Olivier Klein:
Supervised learning with organic memristor devices and prospects for neural crossbar arrays. NANOARCH 2015: 181-186 - [c18]Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart:
Neuromorphic hybrid RRAM-CMOS RBM architecture. NVMTS 2015: 1-6 - 2014
- [j4]Djaafar Chabi, Damien Querlioz, Weisheng Zhao, Jacques-Olivier Klein:
Robust learning approach for neuro-inspired nanoscale crossbar architecture. ACM J. Emerg. Technol. Comput. Syst. 10(1): 5:1-5:20 (2014) - [j3]Weisheng Zhao, Jean-Michel Portal, Wang Kang, Mathieu Moreau, Yue Zhang, Hassen Aziza, Jacques-Olivier Klein, Zhaohao Wang, Damien Querlioz, Damien Deleruyelle, Marc Bocquet, Dafine Ravelosona, Christophe Muller, Claude Chappert:
Design and analysis of crossbar architecture based on complementary resistive switching non-volatile memory cells. J. Parallel Distributed Comput. 74(6): 2484-2496 (2014) - [j2]Weisheng Zhao, Mathieu Moreau, Erya Deng, Yue Zhang, Jean-Michel Portal, Jacques-Olivier Klein, Marc Bocquet, Hassen Aziza, Damien Deleruyelle, Christophe Muller, Damien Querlioz, Nesrine Ben Romdhane, Dafine Ravelosona, Claude Chappert:
Synchronous Non-Volatile Logic Gate Design Based on Resistive Switching Memories. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(2): 443-454 (2014) - [c17]Yue Zhang, Weisheng Zhao, Jacques-Olivier Klein, Wang Kang, Damien Querlioz, Youguang Zhang, Dafine Ravelosona, Claude Chappert:
Spintronics for low-power computing. DATE 2014: 1-6 - [c16]Adrien F. Vincent, Jerome Larroque, Weisheng Zhao, Nesrine Ben Romdhane, Olivier Bichler, Christian Gamrat, Jacques-Olivier Klein, Sylvie Galdin-Retailleau, Damien Querlioz:
Spin-transfer torque magnetic memory as a stochastic memristive synapse. ISCAS 2014: 1074-1077 - [c15]Miguel Diez-Garcia, Adrien F. Vincent, Nicolas Izard, Damien Querlioz:
Monte Carlo simulations of carbon nanotube networks for optoelectronic applications. NANOARCH 2014: 135-136 - 2013
- [c14]Damien Querlioz, Vincent Trauchessec:
Stochastic resonance in an analog current-mode neuromorphic circuit. ISCAS 2013: 1596-1599 - [c13]Olivier Bichler, David Roclin, Christian Gamrat, Damien Querlioz:
Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator. NANOARCH 2013: 7-12 - [c12]Jean-Michel Portal, Mathieu Moreau, Marc Bocquet, Hassen Aziza, Damien Deleruyelle, Christophe Muller, Yue Zhang, Erya Deng, Jacques-Olivier Klein, Damien Querlioz, Dafine Ravelosona, Claude Chappert, Weisheng Zhao:
Analytical study of complementary memristive synchronous logic gates. NANOARCH 2013: 70-75 - [c11]Giorgio Palma, Manan Suri, Damien Querlioz, Elisa Vianello, Barbara De Salvo:
Stochastic neuron design using conductive bridge RAM. NANOARCH 2013: 95-100 - [c10]Manan Suri, Daniele Garbin, Olivier Bichler, Damien Querlioz, Dominique Vuillaume, Christian Gamrat, Barbara De Salvo:
Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy. NANOARCH 2013: 140-145 - [c9]Yue Zhang, Erya Deng, Jacques-Olivier Klein, Damien Querlioz, Dafine Ravelosona, Claude Chappert, Weisheng Zhao, Mathieu Moreau, Jean-Michel Portal, Marc Bocquet, Hassen Aziza, Damien Deleruyelle, Christophe Muller:
Synchronous full-adder based on complementary resistive switching memory cells. NEWCAS 2013: 1-4 - [c8]Weisheng Zhao, Jacques-Olivier Klein, Zhaohao Wang, Yue Zhang, Nesrine Ben Romdhane, Damien Querlioz, Dafine Ravelosona, Claude Chappert:
Spin-electronics based logic fabrics. VLSI-SoC 2013: 174-179 - 2012
- [j1]Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat:
Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity. Neural Networks 32: 339-348 (2012) - [c7]Weisheng Zhao, Damien Querlioz, Jacques-Olivier Klein, Djaafar Chabi, Claude Chappert:
Nanodevice-based novel computing paradigms and the neuromorphic approach. ISCAS 2012: 2509-2512 - [c6]Weisheng Zhao, Yue Zhang, Jacques-Olivier Klein, Damien Querlioz, Djaafar Chabi, Dafine Ravelosona, Claude Chappert, Jean-Michel Portal, Marc Bocquet, Hassen Aziza, Damien Deleruyelle, Christophe Muller:
Crossbar architecture based on 2R complementary resistive switching memory cell. NANOARCH 2012: 85-92 - [c5]Damien Querlioz, Weisheng Zhao, Philippe Dollfus, Jacques-Olivier Klein, Olivier Bichler, Christian Gamrat:
Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches. NANOARCH 2012: 203-210 - 2011
- [c4]Olivier Bichler, Damien Querlioz, Simon J. Thorpe, Jean-Philippe Bourgoin, Christian Gamrat:
Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity. IJCNN 2011: 859-866 - [c3]Damien Querlioz, Olivier Bichler, Christian Gamrat:
Simulation of a memristor-based spiking neural network immune to device variations. IJCNN 2011: 1775-1781 - [c2]Djaafar Chabi, Weisheng Zhao, Damien Querlioz, Jacques-Olivier Klein:
Robust neural logic block (NLB) based on memristor crossbar array. NANOARCH 2011: 137-143 - [c1]Damien Querlioz, Philippe Dollfus, Olivier Bichler, Christian Gamrat:
Learning with memristive devices: How should we model their behavior? NANOARCH 2011: 150-156
Coauthor Index
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