Corpus ID: 225062193

# Generative Neurosymbolic Machines

@article{Jiang2020GenerativeNM,
title={Generative Neurosymbolic Machines},
author={Jindong Jiang and Sungjin Ahn},
journal={ArXiv},
year={2020},
volume={abs/2010.12152}
}
• Published 2020
• Computer Science
• ArXiv
Reconciling symbolic and distributed representations is a crucial challenge that can potentially resolve the limitations of current deep learning. Remarkable advances in this direction have been achieved recently via generative object-centric representation models. While learning a recognition model that infers object-centric symbolic representations like bounding boxes from raw images in an unsupervised way, no such model can provide another important ability of a generative model, i.e… Expand
8 Citations

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