A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems [R]

Excerpt

In our #NeurIPS2026 paper “A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems (DS)” (preprint: https://arxiv.org/abs/2607.14937 ) we reduce a DS foundation model to the ingredients minimally necessary to faithfully reproduce long-term statistical and geometrical properties of DS : 1) A piecewise affine map with only a single (!!) parameter α that controls local con-/divergence rates, and … 2) … a context selector that chooses from the provided context signal t