A single 13k-parameter hypergraph surrogate trained on simple mass-conserving ODEs predicts calibrated trajectory quantiles and infers parameters across unseen compartmental families, system sizes, interaction orders, forcing, and non-conservative variants.
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HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems
A single 13k-parameter hypergraph surrogate trained on simple mass-conserving ODEs predicts calibrated trajectory quantiles and infers parameters across unseen compartmental families, system sizes, interaction orders, forcing, and non-conservative variants.