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PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks
Spiking neural networks (SNNs) enable sparse and event-driven computation, but their low-bit deployment remains incomplete because recurrent membrane states are commonly retained in floating point even after weight quantization. Quantizing these states is challenging because their distributions diff
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