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each target configuration t with energy at most ∆ can be uniquely extended to a source configuration (t, ht) with equal energy, and

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cond-mat.dis-nn 1

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2025 1

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Universal Spin Models are Universal Approximators in Machine Learning

cond-mat.dis-nn · 2025-07-10 · unverdicted · novelty 6.0

Universal spin models are universal approximators of probability distributions, yielding a unified recipe for universal approximation theorems in models such as restricted Boltzmann machines and deep belief networks.

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  • Universal Spin Models are Universal Approximators in Machine Learning cond-mat.dis-nn · 2025-07-10 · unverdicted · none · ref 1

    Universal spin models are universal approximators of probability distributions, yielding a unified recipe for universal approximation theorems in models such as restricted Boltzmann machines and deep belief networks.