Is it okay to use KAN for something other than PDE calculations, like MLP?

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Is it acceptable to use KAN as a way to approximate f(x) when computing expressions such as y = g(f(x)) over other layers or functions rather than over a function for y = f(x), and are there any disadvantages to using adam as an optimizer rather than LBFGS for KAN models?