103 citations · 201 across the 29 of their papers we have counts for
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stat.ME2019★ 7 cited
A Parsimonious Tour of Bayesian Model Uncertainty
Pierre-Alexandre Mattei
Modern statistical software and machine learning libraries are enabling semi-automated statistical inference. Within this context, it appears easier and easier to try and fit many…
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-…