Noise tolerant ternary weight deep neural networks for analog in-memory inference

Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene. Noise tolerant ternary weight deep neural networks for analog in-memory inference. In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021. pages 1-8, IEEE, 2021. [doi]

@inproceedings{DoevenspeckVLMD21,
  title = {Noise tolerant ternary weight deep neural networks for analog in-memory inference},
  author = {Jonas Doevenspeck and Peter Vrancx and Nathan Laubeuf and Arindam Mallik and Peter Debacker and Diederik Verkest and Rudy Lauwereins and Wim Dehaene},
  year = {2021},
  doi = {10.1109/IJCNN52387.2021.9533684},
  url = {https://doi.org/10.1109/IJCNN52387.2021.9533684},
  researchr = {https://researchr.org/publication/DoevenspeckVLMD21},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3900-8},
}