Unlock: DeepONet
DeepONet (Lu, Karniadakis et al., 2021) approximates nonlinear operators between function spaces by splitting a network into a branch (encoding the input function at fixed sensors) and a trunk (encoding query coordinates), then taking an inner product. The architecture is the practical realization of Chen and Chen's 1995 universal approximation theorem for operators.
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