Adaptive blocked Gibbs sampling for inference in probabilistic graphical models. - Mohammad Maminur Islam; Mohammad Khan Al Farabi; Deepak Venugopal (IJCNN, 2017)

Efficient Weight Learning in High-Dimensional Untied MLNs. - Khan Mohammad Al Farabi; Somdeb Sarkhel; Deepak Venugopal (AISTATS, 2018)

Scaling up Inference in MLNs with Spark. - Mohammad Maminur Islam; Khan Mohammad Al Farabi; Somdeb Sarkhel; Deepak Venugopal (IEEE BigData, 2018)

Fine-Grained Explanations Using Markov Logic. - Khan Mohammad Al Farabi; Somdeb Sarkhel; Sanorita Dey; Deepak Venugopal (ECML/PKDD (2), 2019)

Interpretable Explanations for Probabilistic Inference in Markov Logic. - Khan Mohammad Al Farabi; Somdeb Sarkhel; Sanorita Dey; Deepak Venugopal (IEEE BigData, 2021)