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  1. Chapter and Conference Paper

    Compiling Universal Probabilistic Programming Languages with Efficient Parallel Sequential Monte Carlo Inference

    Probabilistic programming languages (PPLs) allow users to encode arbitrary inference problems, and PPL implementations provide general-purpose automatic inference for these problems. However, constructing infe...

    Daniel Lundén, Joey Öhman, Jan Kudlicka in Programming Languages and Systems (2022)