| 2025 | ACL | Lifelong Model Editing with Graph-Based External Memory. | Yash Kumar Atri, Ahmed M. Alaa, Thomas Hartvigsen |
| 2025 | EMNLP | Lifelong Knowledge Editing requires Better Regularization. | Akshat Gupta, Phudish Prateepamornkul, Maochuan Lu, Ahmed M. Alaa, Thomas Hartvigsen, Gopala Anumanchipalli |
| 2025 | ICML | Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction. | Lars van der Laan, Ahmed M. Alaa |
| 2024 | ICLR | InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists. | Yulu Gan, Sungwoo Park, Alexander Schubert, Anthony Philippakis, Ahmed M. Alaa |
| 2024 | ICML | Prediction-powered Generalization of Causal Inferences. | Ilker Demirel, Ahmed M. Alaa, Anthony Philippakis, David A. Sontag |
| 2023 | AISTATS | Conformalized Unconditional Quantile Regression. | Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag |
| 2022 | ICML | How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. | Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar |
| 2021 | AISTATS | Learning Matching Representations for Individualized Organ Transplantation Allocation. | Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar |
| 2021 | ICLR | Generative Time-series Modeling with Fourier Flows. | Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar |
| 2021 | ICML | Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. | Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar |
| 2020 | AISTATS | Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. | Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass |
| 2020 | ICLR | Estimating counterfactual treatment outcomes over time through adversarially balanced representations. | Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar |
| 2020 | ICML | Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. | Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. | Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar |
| 2019 | AISTATS | Temporal Quilting for Survival Analysis. | Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar |
| 2019 | ICML | Validating Causal Inference Models via Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2018 | ICML | Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2018 | ICML | AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2017 | AAAI | Personalized Donor-Recipient Matching for Organ Transplantation. | Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar |
| 2017 | ICML | Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. | Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar |
| 2016 | ICML | ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. | Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar |
| 2014 | WCNC | Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable? | Ahmed M. Alaa, Mahmoud H. Ismail, Hazim Tawfik |