SpikeQ: Spike-Guided Post-Training Quantization for Spiking Neural Networks

arXiv:2610.23046 · cs.NE, cs.AI, cs.CV · Submitted 2026-10-16 · Read on arXiv

cs.NE, cs.AI, cs.CV

Submitted: 2026-10-16

Updated: 2026-10-16

Terminology

• Quantization — 1× in this paper · explained in 14 episodes
• Spiking neural networks — 1× in this paper · explained in 2 episodes

Related papers

• Evolutionary Ensemble of Agents
• Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
• Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems
• Evolutionary Architecture Search for Chlorophyll- a Prediction in Lakes using Sentinel-2
• Learning Alzheimer's Disease Signatures by bridging EEG with Spiking Neural Networks and Biophysical Simulations
• Neuromorphic Satellite Intelligence: A Formal Framework for Event-Driven Architectures, Spike-Based Algorithms, and Quantitative Energy-Accuracy Trade-offs