AI RESEARCH
Sparse FEONet: A Low-Cost, Memory-Efficient Operator Network via Finite-Element Local Sparsity for Parametric PDEs
arXiv CS.LG
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ArXi:2601.00672v2 Announce Type: replace-cross In this paper, we study the finite element operator network (FEONet), an operator-learning method for parametric problems, originally