Approximate Message Passing (AMP) algorithms have transformed the landscape of sparse signal recovery by providing low-complexity, iterative schemes that approach information-theoretic limits.
Machine learning potential (MLP) has been a popular topic in recent years for its capability to replace expensive first-principles calculations in some large systems. Meanwhile, message passing ...
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