A maximum-entropy derivation connects non-homogeneous Poisson process intensities for temporal networks to path entropy optimization, producing modular generative models with closed-form log-likelihoods and expectations.
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Maximum entropy temporal networks
A maximum-entropy derivation connects non-homogeneous Poisson process intensities for temporal networks to path entropy optimization, producing modular generative models with closed-form log-likelihoods and expectations.
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