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20182021
most citedPartially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

14 citations · 14 across the 1 of their papers we have counts for

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stat.ML2021

Sequential Neural Posterior and Likelihood Approximation

Samuel Wiqvist, Jes Frellsen, Umberto Picchini

We introduce the sequential neural posterior and likelihood approximation (SNPLA) algorithm. SNPLA is a normalizing flows-based algorithm for inference in implicit models, and ther…

stat.ML2019★ 14 cited

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation

Samuel Wiqvist, Pierre-Alexandre Mattei, Umberto Picchini +1

We present a novel family of deep neural architectures, named partially exchangeable networks (PENs) that leverage probabilistic symmetries. By design, PENs are invariant to block-…