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Interpretable Explanations for Probabilistic Inference in Markov Logic.

, , , and . IEEE BigData, page 1256-1264. IEEE, (2021)

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Adaptive blocked Gibbs sampling for inference in probabilistic graphical models., , and . IJCNN, page 262-269. IEEE, (2017)Scaling up Inference in MLNs with Spark., , , and . IEEE BigData, page 118-125. IEEE, (2018)Efficient Weight Learning in High-Dimensional Untied MLNs., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1637-1645. PMLR, (2018)Fine-Grained Explanations Using Markov Logic., , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 614-629. Springer, (2019)Interpretable Explanations for Probabilistic Inference in Markov Logic., , , and . IEEE BigData, page 1256-1264. IEEE, (2021)