Flow-based generative model: Difference between revisions

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R^\Delta_\text{cal}(\mathbf p; a, \mathbf c) = \left|\operatorname{det}(\mathbf{RF_pE})\right| = a^{1-n}\prod_{i=1}^n\frac{q_i}{p_i}
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While calibration transforms are most often trained as [[discriminative model|discriminative models]], the reinterpretation here as a probabilistic flow allows also the design of [[generative model|generative]] calibration models.
 
===Differential volume ratio for curved manifolds===