Selection, Representation, and Execution in Sparse Fourier Neural Operators
This work distinguishes sparsity in the representation, in the stored parameters, in the theoretical operation count, and in measured runtime, and presents an empirical study of several routes toward sparse FNOs that tests each transition between them separately.
A. Ibrahim, Martin Burger
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