Probabilistic Graphical Models with Neural Networks in InferPy
Abstract
InferPy is an open-source Python package for variational inference in probabilistic models containing neural networks. Other similar libraries are often difficult for non-expert users. InferPy provides a much more compact and simple way to code such models, at the expense of slightly reducing expressibility and flexibility. The main objective of this package is to permit its use without having a strong theoretical background or thorough knowledge of the deep learning frameworks.
Cite
Text
Cabañas et al. "Probabilistic Graphical Models with Neural Networks in InferPy." Proceedings of pgm 2020, 2020.Markdown
[Cabañas et al. "Probabilistic Graphical Models with Neural Networks in InferPy." Proceedings of pgm 2020, 2020.](https://mlanthology.org/pgm/2020/cabanas2020pgm-probabilistic/)BibTeX
@inproceedings{cabanas2020pgm-probabilistic,
title = {{Probabilistic Graphical Models with Neural Networks in InferPy}},
author = {Cabañas, Rafael and Cózar, Javier and Salmerón, Antonio and Masegosa, Andrés R.},
booktitle = {Proceedings of pgm 2020},
year = {2020},
pages = {601-604},
volume = {138},
url = {https://mlanthology.org/pgm/2020/cabanas2020pgm-probabilistic/}
}