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Li, X., Liu, B., Yang, R. H., Courville, V., Xing, C., & Partovi Nia, V. (octobre 2023). DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization [Communication écrite]. International Conference on Computer Vision (ICCV 2023), Paris, France. Lien externe
Li, X., Parazeres, M., Oberman, A. M., Ghaffari, A., Asgharian, M., & Partovi Nia, V. (2023). EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Computer Science, 4(5). Lien externe
