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Carrier-Sense Protocols for Packet-Switched Smart Antenna Basestations.

, and . Int. J. Wirel. Inf. Networks, 7 (3): 133-148 (2000)

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Analytical Guarantees on Numerical Precision of Deep Neural Networks., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3007-3016. PMLR, (2017)Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm., and . CoRR, (2018)Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 19123-19138. PMLR, (2022)A 95.6-TOPS/W Deep Learning Inference Accelerator With Per-Vector Scaled 4-bit Quantization in 5 nm., , , , , , , , and . IEEE J. Solid State Circuits, 58 (4): 1129-1141 (2023)Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Reducing the Energy Cost of Inference via In-sensor Information Processing., , , and . CoRR, (2016)True Gradient-Based Training of Deep Binary Activated Neural Networks Via Continuous Binarization., , , , and . ICASSP, page 2346-2350. IEEE, (2018)Fundamental Limits on Energy-Delay-Accuracy of In-Memory Architectures in Inference Applications., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (10): 3188-3201 (2022)Fundamental Limits on the Precision of In-memory Architectures., , , and . ICCAD, page 128:1-128:9. IEEE, (2020)Optimizing Selective Protection for CNN Resilience., , , , , , , , , and . ISSRE, page 127-138. IEEE, (2021)