Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction [R]

Excerpt

In our #NeurIPS2026 paper “ Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction ” (preprint: https://arxiv.org/abs/2606.22969 ) we try to address a fundamental issue in dynamical systems reconstruction (DSR) and time series forecasting (TSF): Many recent SOTA DSR & TSF models can generalize to new initial conditions or time series with changing statistical properties. But the really hard problem in DSR and TSF is topological out-of-domain generalization (OODG) ( https://