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Product of experts (PoE) are layered networks in which the value at each node is an AND (or product) of the values (possibly negated) at its inputs.
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Training products of experts by minimizing contrastive divergence
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A fast learning algorithm for deep belief nets
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The sparse Hausdorff moment problem, with application to topic models, 2020
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Restricted Boltzmann machines are hard to approximately evaluate or simulate
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How many subpopulations is too many? Exponential lower bounds for inferring population histories
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Source identification for mixtures of product distributions
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Efficient algorithms for sparse moment problems without separation, 2022
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Multimodal conditional image synthesis with product-of-experts GANs
X. Huang, A. Mallya, T. Wang, and M. Liu · 2022
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DEXPERTS: Decoding-time controlled text generation with experts and anti-experts
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Dimension of marginals of Kronecker product models
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Restricted Boltzmann machines: Introduction and review, 2018
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Essai expérimentale et analytique
R. de Prony
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Causal inference despite limited global confounding via mixture models
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