An autoencoder plus latent neural ODE, trained with teacher forcing and autoregressive rollouts, beats several published neural PDE surrogates on benchmark equations while using fewer parameters and faster inference.
Vectorized Conditional Neural Fields: A framework for solving time-dependent parametric partial differential equations
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A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs
An autoencoder plus latent neural ODE, trained with teacher forcing and autoregressive rollouts, beats several published neural PDE surrogates on benchmark equations while using fewer parameters and faster inference.