Raphael Poulain

13 papers A* 2B 1Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CHASE Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
2024	J	`jnl`	Aligning (Medical) LLMs for (Counterfactual) Fairness. CoRR Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024	J	`jnl`	Bias patterns in the application of LLMs for clinical decision support: A comprehensive study. CoRR Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
2024	J	`jnl`	Enabling Scalable Evaluation of Bias Patterns in Medical LLMs. CoRR Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti
2024	J	`jnl`	Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CoRR Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti
2024	A*	`conf`	Graph Transformers on EHRs: Better Representation Improves Downstream Performance. ICLR Raphael Poulain, Rahmatollah Beheshti
2023	—	`conf`	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2023	J	`jnl`	Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. CoRR Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
2022	—	`conf`	An Extensive Data Processing Pipeline for MIMIC-IV. ML4H@NeurIPS Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022	J	`jnl`	An Extensive Data Processing Pipeline for MIMIC-IV. CoRR Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti
2022	—	`conf`	Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. MLHC Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti
2022	A*	`conf`	Flexible-Window Predictions on Electronic Health Records. AAAI Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti
2021	—	`conf`	Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. BIBM Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti