Saurabh Mathur

According to our database, Saurabh Mathur authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Credibility-Aware Multimodal Fusion Using Probabilistic Circuits.

Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO.

Saurabh Mathur, Ranveer Singh, Michael A. Skinner, Ethan Sanford, Neel Shah, Phillip Reeder, Lakshmi Raman, Sriraam Natarajan

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?

Sriraam Natarajan, Saurabh Mathur, Sahil Sidheekh, Wolfgang Stammer, Kristian Kersting

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

A Unified Framework for Human-Allied Learning of Probabilistic Circuits.

Athresh Karanam, Saurabh Mathur, Sahil Sidheekh, Sriraam Natarajan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Credibility-Aware Multi-Modal Fusion Using Probabilistic Circuits.

Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Kristian Kersting, Sriraam Natarajan

CoRR, 2024

Knowledge Intensive Learning of Credal Networks.

Saurabh Mathur, Alessandro Antonucci, Sriraam Natarajan

Proceedings of the Uncertainty in Artificial Intelligence, 2024

On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits.

Sahil Sidheekh, Pranuthi Tenali, Saurabh Mathur, Erik Blasch, Sriraam Natarajan

Proceedings of the 27th International Conference on Information Fusion, 2024

Deep Tractable Probabilistic Models.

Sahil Sidheekh, Saurabh Mathur, Athresh Karanam, Sriraam Natarajan

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources.

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

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Knowledge Intensive Learning of Cutset Networks.

Saurabh Mathur, Vibhav Gogate, Sriraam Natarajan

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Explaining Deep Tractable Probabilistic Models: The sum-product network case.

Athresh Karanam, Saurabh Mathur, Predrag Radivojac, David M. Haas, Kristian Kersting, Sriraam Natarajan

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

2021

Explaining Deep Tractable Probabilistic Models: The sum-product network case.

Athresh Karanam, Saurabh Mathur, Predrag Radivojac, Kristian Kersting, Sriraam Natarajan

CoRR, 2021

2019

A scaled-down neural conversational model for chatbots.

Saurabh Mathur, Daphne Lopez

Concurr. Comput. Pract. Exp., 2019