Efficient probabilistic inference in the quest for physics beyond the standard model
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...
| Autori principali: | , , , , , , , , , , , , , , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
Neural Information Processing Systems
2019
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