MixER uses K-means clustering and least squares to route each dynamical system to a specialist expert, improving reconstruction across loosely related ODE families in low-data regimes while underperforming on closely related data.
Robust solutions of optimization problems affected by uncertain probabilities
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Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts
MixER uses K-means clustering and least squares to route each dynamical system to a specialist expert, improving reconstruction across loosely related ODE families in low-data regimes while underperforming on closely related data.