End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays

Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini. End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. In 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, VLSI-SoC 2022, Patras, Greece, October 3-5, 2022. pages 1-5, IEEE, 2022. [doi]

@inproceedings{GlukhovLMBZOPWI22,
  title = {End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays},
  author = {Artem Glukhov and Nicola Lepri and Valerio Milo and Andrea Baroni and Cristian Zambelli and Piero Olivo and Eduardo Pérez and Christian Wenger and Daniele Ielmini},
  year = {2022},
  doi = {10.1109/VLSI-SoC54400.2022.9939653},
  url = {https://doi.org/10.1109/VLSI-SoC54400.2022.9939653},
  researchr = {https://researchr.org/publication/GlukhovLMBZOPWI22},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, VLSI-SoC 2022, Patras, Greece, October 3-5, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9005-4},
}