Quasiprobability models in Bayesian networks generalize to produce all non-signalling correlations for a broad class of networks and conjecturally recover the nested Markov model.
5 Alba Cervera-Lierta, Mario Krenn, and Alán Aspuru-Guzik
2 Pith papers cite this work. Polarity classification is still indexing.
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Krenn-Gu conjecture verified for low-connectivity and cubic GHZ graphs; minimal counterexamples must be 4-connected.
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Bounding Classical and Quantum Correlations in Bayesian Networks with Quasiprobabilities
Quasiprobability models in Bayesian networks generalize to produce all non-signalling correlations for a broad class of networks and conjecturally recover the nested Markov model.
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Krenn-Gu conjecture for sparse graphs
Krenn-Gu conjecture verified for low-connectivity and cubic GHZ graphs; minimal counterexamples must be 4-connected.