CPE is a normalizing-flow posterior estimator whose architecture is sparsified according to the conditional dependencies of the model's prior and posterior graphs, with a rectified-flow objective enabling 20-step Euler sampling.
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Causal Posterior Estimation
CPE is a normalizing-flow posterior estimator whose architecture is sparsified according to the conditional dependencies of the model's prior and posterior graphs, with a rectified-flow objective enabling 20-step Euler sampling.