Ahmed Alaa
23 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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Triple Crown
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Century Club Β· Bronze
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Research topics
Machine Learning
(21)
Optimization & Theory
(12)
Artificial Intelligence
(9)
Deep Learning
(8)
Core AI
(7)
Core Methods
(7)
Healthcare & Medicine
(5)
Clinical
(5)
Models
(5)
Natural Language Processing
(4)
Application Areas
(4)
Learning Types
(4)
Computer Vision
(3)
Knowledge & Reasoning
(3)
Architectures
(3)
Keywords
causal inference
(5)
uncertainty quantification
(3)
influence function
(3)
counterfactual reasoning
(2)
survival analysis
(2)
gaussian process
(2)
time series
(2)
recurrent neural network
(2)
organ transplantation
(2)
benchmark evaluation
(1)
calibration
(1)
bayesian inference
(1)
cluster analysis
(1)
gaussian processes
(1)
image segmentation
(1)
representation learning
(1)
conformal prediction
(1)
self-supervised learning
(1)
multi-task learning
(1)
catastrophic forgetting
(1)
Papers
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
ICML 2025
Lifelong Knowledge Editing requires Better Regularization
EMNLP 2025
Lifelong Model Editing with Graph-Based External Memory
ACL 2025
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
ICML 2025
Viability of Machine Translation for Healthcare in Low-Resourced Languages
EMNLP 2025
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
ICLR 2024
Mean-field Chaos Diffusion Models
ICML 2024
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
NeurIPS 2024
Prediction-powered Generalization of Causal Inferences
ICML 2024
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
ICML 2022
Generative Time-series Modeling with Fourier Flows
ICLR 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation
AISTATS 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
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
AISTATS 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
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