A feed-forward parameter-to-latent mapping plus a parameter-conditioned Neural ODE decouples space, time, and PDE parameters in a single physics-informed surrogate.
Reduced-order mod- eling for parameterized pdes via implicit neural representations
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Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs
A feed-forward parameter-to-latent mapping plus a parameter-conditioned Neural ODE decouples space, time, and PDE parameters in a single physics-informed surrogate.