@article{shah2026ehr,
  author = {Shah, Neel and Sanford, Ethan and Busch, David R. and Singh, Ranveer and Mathur, Saurabh and Sharma, Jayesh and Reeder, Philip and Natarajan, Sriraam and Raman, Lakshmi},
  title = {EHR Sampling Interval Bias Detection and Burden of Blood Pressure Excursions: Implications for Clinical Decision Support and Model Validity in Pediatric ECMO},
  journal = {Information},
  year = {2026},
  volume = {17},
  number = {2},
  pages = {135},
  doi = {10.3390/info17020135},
  url = {https://www.mdpi.com/2078-2489/17/2/135}
}

@inproceedings{singh2026neurosymbolic,
  author = {Singh, Ranveer and Tenali, P. and Mathur, S. and Soni, A. and Phatak, V. and Lynch, K. and Murman, D. and Rizzo, M. and Natarajan, S.},
  title = {A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease},
  booktitle = {International Conference on Neurosymbolic Learning and Reasoning},
  year = {2026},
  eprint = {2607.29530},
  archiveprefix = {arXiv},
  url = {https://arxiv.org/abs/2607.29530}
}

@inproceedings{singh2026causal,
  author = {Singh, Ranveer and Mathur, Saurabh and Komarasamy, Kavimayil P. and Soni, Ameet and Whetung, Cliff and Warry, Wayne and Jacklin, Kristen and Blind, Melissa and Natarajan, Sriraam},
  title = {Causal Models with Tiny Data: The Case of Rural People Living with Dementia},
  booktitle = {Artificial Intelligence in Medicine (AIME 2026)},
  year = {2026},
  publisher = {Springer},
  address = {Ottawa, Canada},
  doi = {10.1007/978-3-032-30710-1_45},
  url = {https://link.springer.com/chapter/10.1007/978-3-032-30710-1_45}
}

@inproceedings{mathur2025caution,
  author = {Mathur, Saurabh and Singh, Ranveer and Skinner, Michael and Radivojac, Predrag and Haas, David M. and Raman, Lakshmi and Natarajan, Sriraam},
  title = {LLMs for Causal Reasoning in Medicine? A Call for Caution},
  booktitle = {Proceedings of the 13th ACM IKDD International Conference on Data Science (CODS 2025)},
  year = {2025},
  pages = {164--172},
  publisher = {Association for Computing Machinery},
  doi = {10.1145/3799830.3799848},
  url = {https://dl.acm.org/doi/full/10.1145/3799830.3799848}
}

@inproceedings{mathur2025ecmo,
  author = {Mathur, Saurabh and others},
  title = {LLM-Guided Causal Bayesian Network Construction for Pediatric Patients on ECMO},
  booktitle = {Artificial Intelligence in Medicine (AIME 2025)},
  year = {2025},
  series = {Lecture Notes in Computer Science},
  volume = {15735},
  publisher = {Springer},
  doi = {10.1007/978-3-031-95841-0_48},
  url = {https://doi.org/10.1007/978-3-031-95841-0_48}
}

@inproceedings{prabhakar2025mareprel,
  author = {Prabhakar, Nikhilesh and Singh, Ranveer and Kokel, Harsha and Natarajan, Sriraam and Tadepalli, Prasad},
  title = {Combining Planning and Reinforcement Learning for Solving Relational Multiagent Domains},
  booktitle = {Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS '25)},
  year = {2025},
  pages = {1708--1717},
  url = {https://dl.acm.org/doi/10.5555/3709347.3743806}
}

@inproceedings{mathur2025ijcai,
  author = {Mathur, Saurabh and Singh, Ranveer and Skinner, Michael and Radivojac, Predrag and Haas, David M. and Raman, Lakshmi and Natarajan, Sriraam},
  title = {LLMs for Causal Reasoning in Medicine? A Call for Caution},
  booktitle = {IJCAI 2025 Workshop on User-Aligned Assessment of Adaptive AI Systems},
  year = {2025},
  url = {https://openreview.net/pdf?id=NuA9hnuxAG}
}

@inproceedings{singh2024reprel,
  author = {Singh, Ranveer and Prabhakar, Nikhilesh and Natarajan, Sriraam and Tadepalli, Prasad},
  title = {Exploiting Relational Planning and Task-Specific Abstractions for Multiagent Reinforcement Learning in Relational Domains},
  booktitle = {Cooperative Multi-Agent Systems Decision-Making and Learning Workshop},
  year = {2024},
  note = {Workshop version of the MaRePReL framework},
  url = {https://dl.acm.org/doi/10.5555/3709347.3743806}
}