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Efficient Weight Learning in High-Dimensional Untied MLNs., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1637-1645. PMLR, (2018)Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2907-2915. PMLR, (2019)Fine-Grained Explanations Using Markov Logic., , , and . ECML/PKDD (2), volume 11907 of Lecture Notes in Computer Science, page 614-629. Springer, (2019)Scaling-Up MAP and Marginal MAP Inference in Markov Logic.. AAAI, page 4343-. AAAI Press, (2016)Fast Lifted MAP Inference via Partitioning., , and . NIPS, page 3240-3248. (2015)On the verification of Embeddings using Hybrid Markov Logic., , , and . CoRR, (2023)Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism., , , and . ICME, page 1-6. IEEE, (2020)Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs., , and . UAI, AUAI Press, (2016)Scaling up Inference in MLNs with Spark., , , and . IEEE BigData, page 118-125. IEEE, (2018)Question Modifiers in Visual Question Answering., , and . LREC, page 1472-1479. European Language Resources Association, (2022)