3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.PL2025★ 2 cited
Optimising Density Computations in Probabilistic Programs via Automatic Loop Vectorisation
Sangho Lim, Hyoungjin Lim, Wonyeol Lee +2
Probabilistic programming languages (PPLs) are a popular tool for high-level modelling across many fields. They provide a range of algorithms for probabilistic inference, which ana…
cs.PL2023★ 3 cited
Probabilistic programming interfaces for random graphs: Markov categories, graphons, and nominal sets
Nathanael L. Ackerman, Cameron E. Freer, Younesse Kaddar +5
We study semantic models of probabilistic programming languages over graphs, and establish a connection to graphons from graph theory and combinatorics. We show that every well-beh…