7 citations · 21 across the 6 of their papers we have counts for
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cs.AI2020★ 4 cited
Learning to learn generative programs with Memoised Wake-Sleep
Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum
We study a class of neuro-symbolic generative models in which neural networks are used both for inference and as priors over symbolic, data-generating programs. As generative model…
cs.AI2017★ 7 cited
Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators
Mario Lezcano Casado, Atilim Gunes Baydin, David Martinez Rubio +8
We consider the problem of Bayesian inference in the family of probabilistic models implicitly defined by stochastic generative models of data. In scientific fields ranging from po…