Probabilistic Graphical Models with Neural Networks in InferPy

Rafael Cabañas, Javier Cózar, Antonio Salmerón, Andrés R. Masegosa
Proceedings of the 10th International Conference on Probabilistic Graphical Models, PMLR 138:601-604, 2020.

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 this Paper


BibTeX
@InProceedings{pmlr-v138-cabanas20b, title = {Probabilistic Graphical Models with Neural Networks in InferPy}, author = {Caba\~{n}as, Rafael and C\'{o}zar, Javier and Salmer\'{o}n, Antonio and Masegosa, Andr\'{e}s R.}, booktitle = {Proceedings of the 10th International Conference on Probabilistic Graphical Models}, pages = {601--604}, year = {2020}, editor = {Jaeger, Manfred and Nielsen, Thomas Dyhre}, volume = {138}, series = {Proceedings of Machine Learning Research}, month = {23--25 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v138/cabanas20b/cabanas20b.pdf}, url = {http://proceedings.mlr.press/v138/cabanas20b.html}, 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.} }
Endnote
%0 Conference Paper %T Probabilistic Graphical Models with Neural Networks in InferPy %A Rafael Cabañas %A Javier Cózar %A Antonio Salmerón %A Andrés R. Masegosa %B Proceedings of the 10th International Conference on Probabilistic Graphical Models %C Proceedings of Machine Learning Research %D 2020 %E Manfred Jaeger %E Thomas Dyhre Nielsen %F pmlr-v138-cabanas20b %I PMLR %P 601--604 %U http://proceedings.mlr.press/v138/cabanas20b.html %V 138 %X 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.
APA
Cabañas, R., Cózar, J., Salmerón, A. & Masegosa, A.R.. (2020). Probabilistic Graphical Models with Neural Networks in InferPy. Proceedings of the 10th International Conference on Probabilistic Graphical Models, in Proceedings of Machine Learning Research 138:601-604 Available from http://proceedings.mlr.press/v138/cabanas20b.html.

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