COSMOS: Soft Mechanism Mixtures with Verifiable Routing for Long-Horizon PDE Forecasting
Neural operators offer an efficient alternative to classical PDE solvers, but most learn a monolithic map per equation family and discretization. Real systems are compositional: transport, diffusion, wave, and reaction processes can act simultaneously. Existing mixture-of-experts operators typically use sparse top-$K$...
Anupam Rawat, Manikandan Padmanaban, Jagabondhu Hazra
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