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← Authors

Ahmed Alaa

23 papers · 2016–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6)
🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown πŸ’Ž Century Club (23) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter ❓ The Questioner πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (83)

Conferences

ICML (14) AISTATS (3) EMNLP (2) ICLR (2) ACL (1) NIPS (1)

Top co-authors

Mihaela van der Schaar (9) Mihaela Schaar (5) Anthony Philippakis (3) Thomas Hartvigsen (3) Zhaozhi Qian (3) David Sontag (2) Frances Dean (2) Ioana Bica (2) Sungwoo Park (2) Keying Kuang (1)

Keywords

causal inference (4) uncertainty quantification (3) influence function (3) gaussian process (2) organ transplantation (2) survival analysis (2) recurrent neural network (2) counterfactual reasoning (2) cluster analysis (1) medical imaging (1) bayesian inference (1) knowledge editing (1) machine translation (1) factual accuracy (1) representation learning (1) self-supervised learning (1) time series (1) metric learning (1) posterior distribution (1) hyperparameter optimization (1)

Papers

Viability of Machine Translation for Healthcare in Low-Resourced Languages EMNLP 2025 Lifelong Model Editing with Graph-Based External Memory ACL 2025 Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity ICML 2025 Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction ICML 2025 Lifelong Knowledge Editing requires Better Regularization EMNLP 2025 Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NIPS 2024 InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists ICLR 2024 Prediction-powered Generalization of Causal Inferences ICML 2024 Mean-field Chaos Diffusion Models ICML 2024 How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models ICML 2022 Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021 Generative Time-series Modeling with Fourier Flows ICLR 2021 Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis ICML 2021 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020 Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders ICML 2020 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020 Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes AISTATS 2020 Temporal Quilting for Survival Analysis AISTATS 2019 Validating Causal Inference Models via Influence Functions ICML 2019 AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning ICML 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission ICML 2016