2 papers
cs.NE2025
Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
Jiaqiang Jiang, Lei Wang, Runhao Jiang +2
Brain-inspired spiking neural networks (SNNs) are recognized as a promising avenue for achieving efficient, low-energy neuromorphic computing. Recent advancements have focused on d…
cs.LG2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
Wei Shao, Yufan Kang, Ziyan Peng +4
Accuracy and timeliness are indeed often conflicting goals in prediction tasks. Premature predictions may yield a higher rate of false alarms, whereas delaying predictions to gathe…