Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning

Weixin Chen, Simon Yu, Huajie Shao, Lui Sha, Han Zhao

Open source

DOI: 10.1007/s10994-026-07118-7
Published: 2026-08-29
Container: Machine Learning
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10994-026-07118-7,
  title = {Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning},
  author = {Weixin Chen and Simon Yu and Huajie Shao and Lui Sha and Han Zhao},
  year = {2026},
  journal = {Machine Learning},
  doi = {10.1007/s10994-026-07118-7},
  url = {https://doi.org/10.1007/s10994-026-07118-7}
}

RIS

TY  - JOUR
TI  - Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning
AU  - Weixin Chen
AU  - Simon Yu
AU  - Huajie Shao
AU  - Lui Sha
AU  - Han Zhao
PY  - 2026
JO  - Machine Learning
DO  - 10.1007/s10994-026-07118-7
UR  - https://doi.org/10.1007/s10994-026-07118-7
ER  -

APA

Chen, W., Yu, S., Shao, H., Sha, L., & Zhao, H. (2026). Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions Through Logical Reasoning. Machine Learning. https://doi.org/10.1007/s10994-026-07118-7

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crossref · retrieved 2026-11-05T22:41:18.422Z