Adel Daoud

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Increasing the Confidence of Predictive Uncertainty: Earth Observations and Deep Learning for Poverty Estimation.

[BibT_eX]

[DOI]

Mohammad Kakooei

IEEE Trans. Geosci. Remote. Sens., 2024

Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery.

[BibT_eX]

[DOI]

CoRR, 2024

Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach.

[BibT_eX]

[DOI]

Mohammad Kakooei

Klaudia Solska

CoRR, 2024

Encoding Multi-level Dynamics in Effect Heterogeneity Estimation.

[BibT_eX]

[DOI]

Fucheng Warren Zhu

CoRR, 2024

Planetary Causal Inference: Implications for the Geography of Poverty.

[BibT_eX]

[DOI]

Kazuki Sakamoto

Nicolas Audinet de Pieuchon

CoRR, 2024

Can Large Language Models (or Humans) Distill Text?

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning With DAGs.

[BibT_eX]

[DOI]

CoRR, 2024

Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2024

ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2024

2023

CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images.

[BibT_eX]

[DOI]

CoRR, 2023

Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities.

[BibT_eX]

[DOI]

Fredrik D. Johansson

CoRR, 2023

Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Image-based Treatment Effect Heterogeneity.

[BibT_eX]

[DOI]

Connor Thomas Jerzak

Fredrik Daniel Johansson

Louiza Bouallouche-Medjkoune

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Eliminating Selective Dropping Attack in Mobile Ad Hoc Network.

[BibT_eX]

[DOI]

Mahdi Bounouni

Abderrahmane Beraza

Wirel. Pers. Commun., 2022

ρ-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa.

[BibT_eX]

[DOI]

Fredrik Johansson

CoRR, 2022

Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows.

[BibT_eX]

[DOI]

Jose M. Peña

CoRR, 2022

Using satellites and artificial intelligence to measure health and material-living standards in India.

[BibT_eX]

[DOI]

CoRR, 2022

Conceptualizing Treatment Leakage in Text-based Causal Inference.

[BibT_eX]

[DOI]

Richard Johansson

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Statistical modeling: the three cultures.

[BibT_eX]

[DOI]

Devdatt P. Dubhashi

CoRR, 2020

Combining distributive ethics and causal Inference to make trade-offs between austerity and population health.

[BibT_eX]

[DOI]

Anders Herlitz

S. V. Subramanian

CoRR, 2020

2019

Natural Language Processing in Policy Evaluation: Extracting Policy Conditions from IMF Loan Agreements.

[BibT_eX]

[DOI]

Joakim Åkerström