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[PDF][PDF] Space-time continuous pde forecasting using equivariant neural fields
Abstract Recently, Conditional Neural Fields (NeFs) have emerged as a powerful modelling
paradigm for PDEs, by learning solutions as flows in the latent space of the Conditional NeF …
paradigm for PDEs, by learning solutions as flows in the latent space of the Conditional NeF …
TASI Lectures on Physics for Machine Learning
J Halverson - ar**s, and use these to construct a generalised equivariant geometric algebra …