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Qin Li

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Open access Aug 2026

Stability-Regularized Residual Neural ODEs: From Rollout-Error Contraction Diagnostics to a Train-Time Method for Robust Long-Horizon Forecasting

This work augments the one-step objective with a contraction penalty λEx[(μ2(Jf^(x))−c)+], and studies when this improves robust forecasting across stable, expansive, marginal, and chaotic regimes under realistic sensor-corruption noise.

Qin Li, Min Wan · 0 citations

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