Damien Querlioz
Orcid: 0000-0002-0295-1008
According to our database1,
Damien Querlioz
authored at least 101 papers
between 2011 and 2024.
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Bibliography
2024
2023
Powering AI at the Edge: A Robust, Memristor-based Binarized Neural Network with Near-Memory Computing and Miniaturized Solar Cell.
CoRR, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
Characterization and modeling of spiking and bursting in experimental NbO<sub> x </sub> neuron.
Neuromorph. Comput. Eng., December, 2022
CoRR, 2022
Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential.
CoRR, 2022
Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy.
Adv. Intell. Syst., 2022
Energy Efficient Learning With Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks.
IEEE Access, 2022
Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations.
Proceedings of the IEEE International Reliability Physics Symposium, 2022
2021
Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators.
Proceedings of the Reservoir Computing, 2021
Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation Per Synapse.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks.
CoRR, 2021
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations.
CoRR, 2021
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks.
CoRR, 2021
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware.
Adv. Intell. Syst., 2021
CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021
Proceedings of the International Conference on IC Design and Technology, 2021
Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
CoRR, 2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias.
CoRR, 2020
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
CoRR, 2020
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling.
CoRR, 2020
Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020
2019
Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays.
CoRR, 2019
Role of non-linear data processing on speech recognition task in the framework of reservoir computing.
CoRR, 2019
CoRR, 2019
CoRR, 2019
In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks.
CoRR, 2019
IEEE Access, 2019
IEEE Access, 2019
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.
IEEE Access, 2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2019
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019
2018
Overcoming device unreliability with continuous learning in a population coding based computing system.
CoRR, 2018
Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
2017
Int. J. Approx. Reason., 2017
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2017
On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017
Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017
2016
IEEE Trans. Circuits Syst. I Regul. Pap., 2016
Bio-inspired intelligent sensory processing with nanoscale stochastic magnetic tunnel junctions.
CoRR, 2016
Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures.
CoRR, 2016
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016
Synchronization detection in networks of coupled oscillators for pattern recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the IEEE International Conference on Rebooting Computing, 2016
2015
Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems.
IEEE Trans. Biomed. Circuits Syst., 2015
Proc. IEEE, 2015
On-Chip Universal Supervised Learning Methods for Neuro-Inspired Block of Memristive Nanodevices.
ACM J. Emerg. Technol. Comput. Syst., 2015
Proceedings of the 15th Non-Volatile Memory Technology Symposium, 2015
Magnetoresistance implications for complementary magnetic tunnel junction logic (CMAT).
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015
Supervised learning with organic memristor devices and prospects for neural crossbar arrays.
Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures, 2015
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015
2014
IEEE Trans. Circuits Syst. I Regul. Pap., 2014
Design and analysis of crossbar architecture based on complementary resistive switching non-volatile memory cells.
J. Parallel Distributed Comput., 2014
ACM J. Emerg. Technol. Comput. Syst., 2014
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2014
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014
2013
Proceedings of the 21st IEEE/IFIP International Conference on VLSI and System-on-Chip, 2013
Proceedings of the IEEE 11th International New Circuits and Systems Conference, 2013
Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013
Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2013
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
2012
Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity.
Neural Networks, 2012
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012
Bioinspired networks with nanoscale memristive devices that combine the unsupervised and supervised learning approaches.
Proceedings of the 2012 IEEE/ACM International Symposium on Nanoscale Architectures, 2012
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Unsupervised features extraction from asynchronous silicon retina through Spike-Timing-Dependent Plasticity.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011