AI RESEARCH
Constructive interpolation and generalization rates for neural ODEs: a control perspective
arXiv stat.ML
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ArXi:2606.00469v1 Announce Type: cross We study supervised regression with neural ODEs (NODEs) from a control-theoretic perspective to derive explicit population-risk bounds. We focus on a widely used class of non-autonomous models with constant parameters and explicit time dependence, which we call semi-autonomous NODEs (SA-NODEs