Vianello, Elisa

Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

Suri, M., Querlioz, D., Bichler, O., Palma, G., Vianello, E., Vuillaume, D., Gamrat, C., & DeSalvo, B. (2013) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 229

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays

Hirtzlin, T., Bocquet, M., Penkovsky, B., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2020) · Frontiers in Neuroscience

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 93

Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

Jebali, F., Majumdar, A., Turck, C., Harabi, K.-E., Faye, M.-C., Muhr, E., Walder, J.-P., Bilousov, O., Michaud, A., Vianello, E., et al. (2024) · Nature Communications

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 58

A memristor-based Bayesian machine

Harabi, K.-E., Hirtzlin, T., Turck, C., Vianello, E., Laurent, R., Droulez, J., Bessière, P., Portal, J.-M., Bocquet, M., & Querlioz, D. (2022) · Nature Electronics

Advanced Memory and Neural ComputingNeural Networks and Applications

Cited by 58

Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks

Hirtzlin, T., Bocquet, M., Klein, J.-O., Nowak, E., Vianello, E., Portal, J.-M., & Querlioz, D. (2019) · 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 51

Correlated Effects on Forming and Retention of Al Doping in HfO2-Based RRAM

Alayan, M., Vianello, E., de Salvo, B., Perniola, L., Padovani, A., & Larcher, L. (2017) · IEEE Design & Test

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 11

2022 roadmap on neuromorphic computing and engineering

Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 0