Adel Daoud
11 papers · 2022–2026 · 6 venues · across top CS/AI venues
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causal inference
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normalizing flow
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counterfactual inference
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average causal effect
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satellite imagery
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conditional average treatment effect
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prediction-powered inference
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structural causal model
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public policy
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variational inference
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sensitivity analysis
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machine learning
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gaussian copula
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vision transformer
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parameter estimation
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text classification
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statistical inference
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recurrent neural network
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Papers
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis
AAAI 2026
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
CLeaR 2026
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
EMNLP 2025
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs
CLeaR 2025
$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
PGM 2024
Can Large Language Models (or Humans) Disentangle Text?
NAACL 2024
Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows
PGM 2024
Image-based Treatment Effect Heterogeneity
CLeaR 2023
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa
IJCAI 2023
Conceptualizing Treatment Leakage in Text-based Causal Inference
NAACL 2022
Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows
AAAI 2022