no code implementations • 6 Jul 2020 • 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.
1 code implementation • 24 Jul 2018 • Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi Jaakkola, Joshua B. Tenenbaum
However, when this generative model is expressed as a powerful neural network such as a PixelCNN, we show that existing learning techniques typically fail to effectively use latent variables.