2 papers
cs.LG2026
Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks
Dewei Bai, Hongxiang Peng, Yunyun Zeng +2
Spiking Neural Networks (SNNs) are widely regarded as an energy-efficient paradigm for modeling and processing temporal and event-driven information. Incorporating delays in SNNs h…
cs.CV2026
Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
Dewei Bai, Hongxiang Peng, Yunyun Zeng +3
Spiking Transformers have shown strong potential for long-range visual modeling through spike-driven self-attention. However, their quadratic token interactions remain fundamentall…