Weighted model counting with conditional weights for Bayesian networks. Dilkas, P. & Belle, V. In de Campos, C. P., Maathuis, M. H., & Quaeghebeur, E., editors, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021, volume 161, of Proceedings of Machine Learning Research, pages 386–396, 2021. AUAI Press.
Weighted model counting with conditional weights for Bayesian networks [link]Paper  bibtex   
@inproceedings{DBLP:conf/uai/DilkasB21,
  author       = {Paulius Dilkas and
                  Vaishak Belle},
  editor       = {Cassio P. de Campos and
                  Marloes H. Maathuis and
                  Erik Quaeghebeur},
  title        = {Weighted model counting with conditional weights for Bayesian networks},
  booktitle    = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial
                  Intelligence, {UAI} 2021, Virtual Event, 27-30 July 2021},
  series       = {Proceedings of Machine Learning Research},
  volume       = {161},
  pages        = {386--396},
  publisher    = {{AUAI} Press},
  year         = {2021},
  url          = {https://proceedings.mlr.press/v161/dilkas21a.html},
  timestamp    = {Sun, 02 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/uai/DilkasB21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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