Saurabh Mathur

20 papers A* 2A 3C 1Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits. CoRR Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2026	J	`jnl`	EHR Sampling Interval Bias Detection and Burden of Blood Pressure Excursions: Implications for Clinical Decision Support and Model Validity in Pediatric ECMO. Inf. Neel Shah, Ethan Sanford, David R. Busch, Ranveer Singh, Saurabh Mathur, Jayesh Sharma, Philip Reeder, Sriraam Natarajan, Lakshmi Raman
2026	J	`jnl`	Recursive Inference Machines for Neural Reasoning. CoRR Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus, Sriraam Natarajan, Kristian Kersting
2025	A*	`conf`	A Unified Framework for Human-Allied Learning of Probabilistic Circuits. AAAI Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan
2025	A	`conf`	Credibility-Aware Multimodal Fusion Using Probabilistic Circuits. AISTATS Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2025	A*	`conf`	Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? AAAI Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2025	—	`conf`	LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO. AIME (2) Saurabh Mathur, Ranveer Singh, Michael A. Skinner, Ethan Sanford, Neel Shah, Phillip Reeder, Lakshmi Raman, Sriraam Natarajan
2025	—	`conf`	LLMs for Causal Reasoning in Medicine? A Call for Caution. CODS Saurabh Mathur, Ranveer Singh, Michael A. Skinner, Predrag Radivojac, David M. Haas, Lakshmi Raman, Sriraam Natarajan
2025	—	`conf`	Representing Multi-Relational Data via Statistical Relational Learning and Graph Convolutional Networks. CODS Devendra Singh Dhami, Saurabh Mathur, Siwen Yan, Sriraam Natarajan
2024	J	`jnl`	A Unified Framework for Human-Allied Learning of Probabilistic Circuits. CoRR Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan
2024	J	`jnl`	Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits. CoRR Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan
2024	—	`conf`	Deep Tractable Probabilistic Models. COMAD/CODS Sahil Sidheekh, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan
2024	J	`jnl`	Human-in-the-loop or AI-in-the-loop? Automate or Collaborate? CoRR Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting
2024	A	`conf`	Knowledge Intensive Learning of Credal Networks. UAI Saurabh Mathur, Alessandro Antonucci, Sriraam Natarajan
2024	—	`conf`	Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. AIME (1) Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan
2024	C	`conf`	On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits. FUSION Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Sriraam Natarajan
2023	A	`conf`	Knowledge Intensive Learning of Cutset Networks. UAI Saurabh Mathur, Vibhav Gogate, Sriraam Natarajan
2022	—	`conf`	Explaining Deep Tractable Probabilistic Models: The sum-product network case. PGM Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan
2021	J	`jnl`	Explaining Deep Tractable Probabilistic Models: The sum-product network case. CoRR Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan
2019	J	`jnl`	A scaled-down neural conversational model for chatbots. Concurr. Comput. Pract. Exp. Saurabh Mathur, Daphne Lopez