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Lukas Heinrich

1 accepted papers

2019

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

NeurIPS 2019poster

We present a novel probabilistic programming framework that couples directly to existing large-scale simulators through a cross-platform probabilistic execution protocol, which allows general-purpose inference engines to record and control random number draws within simulators in a language-agnostic…