Alaa, Ahmed

22 publications

ICML 2025 Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction Lars Van Der Laan, Ahmed Alaa

ICML 2025 Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity Ahmed Alaa, Thomas Hartvigsen, Niloufar Golchini, Shiladitya Dutta, Frances Dean, Inioluwa Deborah Raji, Travis Zack

DMLR 2024 DMLR: Data-Centric Machine Learning Research - Past, Present and Future Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William A Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlaš, Ahmed Alaa, Adji Bousso Dieng, Natasha Noy, Vijay Janapa Reddi, James Zou, Praveen Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

ICLR 2024 InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists Yulu Gan, Sungwoo Park, Alexander Marcel Schubert, Anthony Philippakis, Ahmed Alaa

ICML 2024 Mean-Field Chaos Diffusion Models Sungwoo Park, Dongjun Kim, Ahmed Alaa

NeurIPS 2024 Med-Real2Sim: Non-Invasive Medical Digital Twins Using Physics-Informed Self-Supervised Learning Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa

ICML 2024 Prediction-Powered Generalization of Causal Inferences Ilker Demirel, Ahmed Alaa, Anthony Philippakis, David Sontag

NeurIPSW 2023 Estimating Uncertainty in Multimodal Foundation Models Using Public Internet Data Shiladitya Dutta, Hongbo Wei, Lars van der Laan, Ahmed Alaa

ICML 2022 How Faithful Is Your Synthetic Data? Sample-Level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa, Boris Van Breugel, Evgeny S. Saveliev, Mihaela Schaar

AISTATS 2021 Learning Matching Representations for Individualized Organ Transplantation Allocation Can Xu, Ahmed Alaa, Ioana Bica, Brent Ershoff, Maxime Cannesson, Mihaela Schaar

ICLR 2021 Generative Time-Series Modeling with Fourier Flows Ahmed Alaa, Alex James Chan, Mihaela van der Schaar

ICML 2021 Learning Queueing Policies for Organ Transplantation Allocation Using Interpretable Counterfactual Survival Analysis Jeroen Berrevoets, Ahmed Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela Schaar

ICML 2020 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions Ahmed Alaa, Mihaela Van Der Schaar

ICML 2020 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa, Mihaela Van Der Schaar

AISTATS 2020 Learning Dynamic and Personalized Comorbidity Networks from Event Data Using Deep Diffusion Processes Zhaozhi Qian, Ahmed Alaa, Alexis Bellot, Mihaela Schaar, Jem Rashbass

ICML 2020 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders Ioana Bica, Ahmed Alaa, Mihaela Van Der Schaar

ICML 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration Under Covariate Shift Alex Chan, Ahmed Alaa, Zhaozhi Qian, Mihaela Van Der Schaar

AISTATS 2019 Temporal Quilting for Survival Analysis Changhee Lee, William Zame, Ahmed Alaa, Mihaela Schaar

ICML 2019 Validating Causal Inference Models via Influence Functions Ahmed Alaa, Mihaela Van Der Schaar

ICML 2018 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa, Mihaela Schaar

ICML 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design Ahmed Alaa, Mihaela Schaar

ICML 2016 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission Jinsung Yoon, Ahmed Alaa, Scott Hu, Mihaela Schaar