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

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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]

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