UFO is a cross-domain neural operator framework that achieves discretization decoupling via adaptive jointly-conditioned interactions among distinct domain representations.
Learning nonlinear operators via DeepONet based on the universal approximation theoremof operators
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UFO: A Domain-Unification-Free Operator Framework for Generalized Operator Learning
UFO is a cross-domain neural operator framework that achieves discretization decoupling via adaptive jointly-conditioned interactions among distinct domain representations.