Student Strategy Prediction using a Neuro-Symbolic Approach. - Anup Shakya; Vasile Rus; Deepak Venugopal (EDM, 2021)

Neuro-Symbolic Models: A Scalable, Explainable Framework for Strategy Discovery from Big Edu-Data. - Deepak Venugopal; Vasile Rus; Anup Shakya (EDM (Workshops), 2021)

Verifying Relational Explanations: A Probabilistic Approach. - Abisha Thapa Magar; Anup Shakya; Somdeb Sarkhel; Deepak Venugopal (IEEE Big Data, 2023)

Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data. - Anup Shakya; Vasile Rus; Deepak Venugopal (EDM, 2023)

On the Verification of Embeddings with Hybrid Markov Logic. - Anup Shakya; Abisha Thapa Magar; Somdeb Sarkhel; Deepak Venugopal (ICDM, 2023)

On the verification of Embeddings using Hybrid Markov Logic. - Anup Shakya; Abisha Thapa Magar; Somdeb Sarkhel; Deepak Venugopal (CoRR, 2023)

Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction. - Anup Shakya; Vasile Rus; Deepak Venugopal (CoRR, 2024)

"Can A Language Model Represent Math Strategies?": Learning Math Strategies from Big Data using BERT. - Abisha Thapa Magar; Anup Shakya; Stephen E. Fancsali; Vasile Rus; April Murphy; Steven Ritter 001; Deepak Venugopal (LAK, 2025)

Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations. - Anup Shakya; Abisha Thapa Magar; Somdeb Sarkhel; Deepak Venugopal (UAI, 2025)

Next Word Suggestion using Graph Neural Network. - Abisha Thapa Magar; Anup Shakya (CoRR, 2025)