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20132023
most citedCompiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

13 citations · 32 across the 6 of their papers we have counts for

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Showing 2018Show all

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cs.PL2018★ 1 cited

Automatic Alignment of Sequential Monte Carlo Inference in Higher-Order Probabilistic Programs

Daniel Lundén, David Broman, Fredrik Ronquist +1

Probabilistic programming is a programming paradigm for expressing flexible probabilistic models. Implementations of probabilistic programming languages employ a variety of inferen…