Damien Querlioz

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 98

Top Venues

Publications

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)
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 (2023)
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 (2023)
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)
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 (2023)
Kamel-Eddine Harabi, Clement Türck, Marie Drouhin, A. Renaudineau, T. 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)
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)
Djohan Bonnet, Tifenn Hirtzlin, Tarcisius Januel, Thomas Dalgaty, Damien Querlioz, Elisa Vianello
Bayesian Metaplasticity from Synaptic Uncertainty. CoRR (2023)
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 (2022)
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 (2022)
Marie Drouhin, Shuai Li, Matthieu Grelier, Sophie Collin, Florian Godel, Robert Glen Elliman, Bruno Dlubak, Juan Trastoy, Damien Querlioz, Julie Grollier
neuron. Neuromorph. Comput. Eng. 2 (4) (2022)
Walid A. Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha
Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks. IEEE Access 10 (2022)
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 (2022)
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)
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 (2022)
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)
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)
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 (2021)
Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
Training Dynamical Binary Neural Networks with Equilibrium Propagation. CoRR (2021)
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) (2021)
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 (2021)
M. 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)
Walid A. Misba, Mark Lozano, Damien Querlioz, Jayasimha Atulasimha
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks. CoRR (2021)
Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier
Training Dynamical Binary Neural Networks With Equilibrium Propagation. CVPR Workshops (2021)
Qiming Shao, Zhongrui Wang, Yan Zhou, Shunsuke Fukami, Damien Querlioz, J. Joshua Yang, Yiran Chen, Leon O. Chua
Spintronic memristors for computing. CoRR (2021)
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 (2021)
Thomas Dalgaty, Elisa Vianello, Damien Querlioz
Harnessing intrinsic memristor randomness with Bayesian neural networks. ICICDT (2021)
F. Jebali, Atreya Majumdar, Axel Laborieux, Tifenn Hirtzlin, Elisa Vianello, J. P. Walder, Marc Bocquet, Damien Querlioz, Jean-Michel Portal
CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks. MWSCAS (2021)
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 (2021)
M. 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)
Guillaume Hocquet, Olivier Bichler, Damien Querlioz
Memory Efficient Invertible Neural Networks for Class-Incremental Learning. AICAS (2021)
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) (2021)
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
Synaptic metaplasticity in binarized neural networks. CoRR (2021)
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 (2020)
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. CoRR (2020)
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)
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 (2020)
Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations. CoRR (2020)
Danijela Markovic, Alice Mizrahi, Damien Querlioz, Julie Grollier
Physics for Neuromorphic Computing. CoRR (2020)
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 (2020)
Guillaume Hocquet, Olivier Bichler, Damien Querlioz
OvA-INN: Continual Learning with Invertible Neural Networks. IJCNN (2020)
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)
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier
Equilibrium Propagation with Continual Weight Updates. CoRR (2020)
Thomas Dalgaty, Niccolo Castellani, Damien Querlioz, Elisa Vianello
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling. CoRR (2020)
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 (2020)
Guillaume Hocquet, Olivier Bichler, Damien Querlioz
OvA-INN: Continual Learning with Invertible Neural Networks. CoRR (2020)
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 (2020)
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
Synaptic Metaplasticity in Binarized Neural Networks. CoRR (2020)
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)
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)
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 (2019)
Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz
Stochastic Computing for Hardware Implementation of Binarized Neural Networks. CoRR (2019)
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 (2019)
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)
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)
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 (2019)
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 (2019)
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)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei
Epileptic Seizure Forecasting With Generative Adversarial Networks. IEEE Access 7 (2019)
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 (2019)
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)
Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. ICECS (2018)
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) (2018)
Alice Mizrahi, Julie Grollier, Damien Querlioz, Mark D. Stiles
Overcoming device unreliability with continuous learning in a population coding based computing system. CoRR (2018)
Md. Ali Azam, Dhritiman Bhattacharya, Damien Querlioz, Jayasimha Atulasimha
Resonate and Fire Neuron with Fixed Magnetic Skyrmions. CoRR (2018)
Nicolas Locatelli, Adrien F. Vincent, Damien Querlioz
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks. CoRR (2018)
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)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
Spatio-temporal Learning with Arrays of Analog Nanosynapses. CoRR (2017)
Damir Vodenicarevic, Nicolas Locatelli, Damien Querlioz
A Neural Network Based on Synchronized Pairs of Nano-Oscillators. CoRR (2017)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
Spatio-temporal learning with arrays of analog nanosynapses. NANOARCH (2017)
Joseph S. Friedman, Jacques Droulez, Pierre Bessière, Jorge Lobo, Damien Querlioz
Approximation enhancement for stochastic Bayesian inference. Int. J. Approx. Reason. 85 (2017)
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 (2017)
Sandip Tiwari, Damien Querlioz
On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation. ICRC (2017)
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)
Damir Vodenicarevic, Alice Mizrahi, Nicolas Locatelli, Julie Grollier, Damien Querlioz
Spintronic nanoscillators for unconventional circuits. ECCTD (2017)
Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz
Synchronization detection in networks of coupled oscillators for pattern recognition. IJCNN (2016)
Julie Grollier, Damien Querlioz, Mark D. Stiles
Spintronic Nanodevices for Bioinspired Computing. Proc. IEEE 104 (10) (2016)
Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier, Damien Querlioz
Synchronization Detection in Networks of Coupled Oscillators for Pattern Recognition. CoRR (2016)
Julie Grollier, Damien Querlioz, Mark D. Stiles
Spintronic nano-devices for bio-inspired computing. CoRR (2016)
Alice Mizrahi, Julie Grollier, Damien Querlioz
Bio-inspired intelligent sensory processing with nanoscale stochastic magnetic tunnel junctions. CoRR (2016)
Laurie E. Calvet, Joseph S. Friedman, Damien Querlioz, Pierre Bessière, Jacques Droulez
Sleep stage classification with stochastic Bayesian inference. NANOARCH (2016)
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)
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. (6) (2016)
Christopher H. Bennett, Damien Querlioz, Jacques-Olivier Klein
A recurrent crossbar of memristive nanodevices implements online novelty detection. ICRC (2016)
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 (2016)
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)
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)
Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart
Neuromorphic hybrid RRAM-CMOS RBM architecture. NVMTS (2015)
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) (2015)
Damien Querlioz, Olivier Bichler, Adrien Francis Vincent, Christian Gamrat
Bioinspired Programming of Memory Devices for Implementing an Inference Engine. Proc. IEEE 103 (8) (2015)
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)
Joseph S. Friedman, Damien Querlioz, Alan V. Sahakian
Magnetoresistance implications for complementary magnetic tunnel junction logic (CMAT). NANOARCH (2015)
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) (2015)
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)
Miguel Diez-Garcia, Adrien F. Vincent, Nicolas Izard, Damien Querlioz
Monte Carlo simulations of carbon nanotube networks for optoelectronic applications. NANOARCH (2014)

Damien Querlioz.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Damien Querlioz