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Neural Information Processing Systems 

We believe that verifying whether or not a given26 network is in GP is actually computationally hard (See also related proofs on hardness of checking the Restricted27 Isometry property). There is an easy solution: an arbitrarily small random perturbation of the weights will create a28 GPnetworkalmostsurely.

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