SpikeLite: Lightweight Spiking Neural Networks for Time-Series Forecasting
Spiking neural networks (SNNs) offer an energy-efficient paradigm for time-series forecasting through spike-driven computation. However, recent SNN forecasters often pursue higher accuracy through increasingly complex attention mechanisms, or specialized neuronal dynamics, weakening the lightweight motivation of SNNs....
Bang Hu, Chang-Ze Lv, Ming-Jie Li et al.
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