2 papers
cs.NE2026
Reducing ANN-SNN Conversion Error via Residual Membrane Potential Alignment
Zirui Chen, Zihan Huang, Tong Bu +3
Spiking Neural Networks (SNNs) serve as core architectures for neuromorphic computing thanks to event-driven operation and ultra-low power consumption. Direct SNN training is hinde…
econ.EM2026
Bounds for Standard Errors in Combined Data
Jooyoung Cha, Yuya Sasaki, Nelson Matthew P. Tan
We propose methods for constructing lower bounds on the standard errors of parameters estimated from moment conditions obtained across different samples. Sharp explicit bounds are…