Raphael Poulain

According to our database, Raphael Poulain authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks.

Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti

Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025

2024

Enabling Scalable Evaluation of Bias Patterns in Medical LLMs.

Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti

CoRR, 2024

Aligning (Medical) LLMs for (Counterfactual) Fairness.

Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti

CoRR, 2024

Bias patterns in the application of LLMs for clinical decision support: A comprehensive study.

Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti

CoRR, 2024

Graph Transformers on EHRs: Better Representation Improves Downstream Performance.

Raphael Poulain, Rahmatollah Beheshti

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods.

Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records.

Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti

Proceedings of the Machine Learning for Healthcare Conference, 2022

An Extensive Data Processing Pipeline for MIMIC-IV.

Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti

Proceedings of the Machine Learning for Health, 2022

Flexible-Window Predictions on Electronic Health Records.

Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease.

Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021