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Monte Carlo simulations of carbon nanotube networks for optoelectronic applications.

, , , and . NANOARCH, page 135-136. IEEE Computer Society/ACM, (2014)

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias., , , , , and . CoRR, (2020)Spintronic Nanodevices for Bioinspired Computing., , and . Proc. IEEE, 104 (10): 2024-2039 (2016)Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks., , , and . CoRR, (2021)Reservoir Computing Leveraging the Transient Non-linear Dynamics of Spin-Torque Nano-Oscillators., , , , , , , , , and 6 other author(s). Reservoir Computing, Springer, (2021)Synaptic metaplasticity with multi-level memristive devices., , , , , , , and . AICAS, page 1-5. IEEE, (2023)Training Dynamical Binary Neural Networks With Equilibrium Propagation., , , and . CVPR Workshops, page 4640-4649. Computer Vision Foundation / IEEE, (2021)A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects., , , , , , , , , and . ASP-DAC, page 184-185. ACM, (2023)Exploiting the short-term to long-term plasticity transition in memristive nanodevice learning architectures., , , , , and . IJCNN, page 947-954. IEEE, (2016)A recurrent crossbar of memristive nanodevices implements online novelty detection., , and . ICRC, page 1-4. IEEE Computer Society, (2016)Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse., , , , , , , , and . AICAS, page 136-140. IEEE, (2020)