A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational Diabetes. - Athresh Karanam; Alexander L. Hayes; Harsha Kokel; David M. Haas; Predrag Radivojac; Sriraam Natarajan (AIME, 2021)

Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. - Matej Zecevic; Devendra Singh Dhami; Athresh Karanam; Sriraam Natarajan; Kristian Kersting (NeurIPS, 2021)

Explaining Deep Tractable Probabilistic Models: The sum-product network case. - Athresh Karanam; Saurabh Mathur 002; Predrag Radivojac; Kristian Kersting; Sriraam Natarajan (CoRR, 2021)

ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift. - Athresh Karanam; KrishnaTeja Killamsetty; Harsha Kokel; Rishabh K. Iyer (NeurIPS, 2022)

Explaining Deep Tractable Probabilistic Models: The sum-product network case. - Athresh Karanam; Saurabh Mathur 002; Predrag Radivojac; David M. Haas; Kristian Kersting; Sriraam Natarajan (PGM, 2022)

Deep Tractable Probabilistic Models. - Sahil Sidheekh; Saurabh Mathur 002; Athresh Karanam; Sriraam Natarajan (COMAD/CODS, 2024)

A Unified Framework for Human-Allied Learning of Probabilistic Circuits. - Athresh Karanam; Saurabh Mathur 002; Sahil Sidheekh; Sriraam Natarajan (AAAI, 2025)