A machine learning framework, equipped with a unitary Koopman structure, is designed to reconstruct Hamiltonian systems using either noise-perturbed or partially observational data. This framework can ...
Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.
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