AI RESEARCH
Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE
arXiv CS.LG
•
ArXi:2605.07286v1 Announce Type: cross Random-feature neural networks (RFNNs), including architectures with fixed hidden layers and analytically determined output weights, offer fast