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ORCIDRaphael Poulain
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2020 – today
- 2024
[c6]Raphael Poulain, Rahmatollah Beheshti:
Graph Transformers on EHRs: Better Representation Improves Downstream Performance. ICLR 2024- [i6]Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti
:
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study. CoRR abs/2404.15149 (2024) - [i5]Mirza Farhan Bin Tarek, Raphael Poulain, Rahmatollah Beheshti:
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks. CoRR abs/2406.02510 (2024) - [i4]Raphael Poulain, Hamed Fayyaz, Rahmatollah Beheshti:
Aligning (Medical) LLMs for (Counterfactual) Fairness. CoRR abs/2408.12055 (2024) - [i3]Hamed Fayyaz, Raphael Poulain, Rahmatollah Beheshti:
Enabling Scalable Evaluation of Bias Patterns in Medical LLMs. CoRR abs/2410.14763 (2024) - 2023
- [c5]Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti:
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT 2023: 1599-1608 - [i2]Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti:
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. CoRR abs/2305.11386 (2023) - 2022
- [c4]Mehak Gupta, Raphael Poulain, Thao-Ly T. Phan, H. Timothy Bunnell, Rahmatollah Beheshti:
Flexible-Window Predictions on Electronic Health Records. AAAI 2022: 12510-12516 - [c3]Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti:
An Extensive Data Processing Pipeline for MIMIC-IV. ML4H@NeurIPS 2022: 311-325 - [c2]Raphael Poulain, Mehak Gupta, Rahmatollah Beheshti:
Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records. MLHC 2022: 853-873 - [i1]Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti:
An Extensive Data Processing Pipeline for MIMIC-IV. CoRR abs/2204.13841 (2022) - 2021
- [c1]Raphael Poulain, Mehak Gupta, Randi E. Foraker, Rahmatollah Beheshti:
Transformer-based Multi-target Regression on Electronic Health Records for Primordial Prevention of Cardiovascular Disease. BIBM 2021: 726-731
Coauthor Index
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