Alaa, Ahmed M.

20 publications

NeurIPS 2024 Self-Calibrating Conformal Prediction Lars van der Laan, Ahmed M. Alaa

NeurIPS 2023 Aligning Synthetic Medical Images with Clinical Knowledge Using Human Feedback Shenghuan Sun, Greg Goldgof, Atul Butte, Ahmed M. Alaa

NeurIPS 2023 Conformal Meta-Learners for Predictive Inference of Individual Treatment Effects Ahmed M. Alaa, Zaid Ahmad, Mark van der Laan

AISTATS 2023 Conformalized Unconditional Quantile Regression Ahmed M. Alaa, Zeshan Hussain, David Sontag

NeurIPS 2023 DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed M. Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala

CHIL 2023 Large-Scale Study of Temporal Shift in Health Insurance Claims Christina X Ji, Ahmed M Alaa, David Sontag

NeurIPS 2022 ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography Ahmed M. Alaa, Anthony Philippakis, David Sontag

MLJ 2021 CPAS: The UK's National Machine Learning-Based Hospital Capacity Planning System for COVID-19 Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

NeurIPS 2021 Conformal Time-Series Forecasting Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar

MLJ 2021 How Artificial Intelligence and Machine Learning Can Help Healthcare Systems Respond to COVID-19 Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole

ICLR 2020 Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar

NeurIPS 2020 When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment Using Compartmental Gaussian Processes Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar

NeurIPS 2019 Attentive State-Space Modeling of Disease Progression Ahmed M. Alaa, Mihaela van der Schaar

NeurIPS 2019 Demystifying Black-Box Models with Symbolic Metamodels Ahmed M. Alaa, Mihaela van der Schaar

JMLR 2018 A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference Ahmed M. Alaa, Mihaela van der Schaar

NeurIPS 2017 Bayesian Inference of Individualized Treatment Effects Using Multi-Task Gaussian Processes Ahmed M. Alaa, Mihaela van der Schaar

NeurIPS 2017 Deep Multi-Task Gaussian Processes for Survival Analysis with Competing Risks Ahmed M. Alaa, Mihaela van der Schaar

ICML 2017 Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis Ahmed M. Alaa, Scott Hu, Mihaela Schaar

AAAI 2017 Personalized Donor-Recipient Matching for Organ Transplantation Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar

NeurIPS 2016 Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition Ahmed M. Alaa, Mihaela van der Schaar