Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities

30 January 2023

Papers citing "Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities"

8 / 8 papers shown

Title
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments Kosuke Imai Kentaro Nakamura CML 16 4 0 01 Oct 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Yinjun Wu Mayank Keoliya Kan Chen Neelay Velingker Ziyang Li E. Getzen Qi Long Mayur Naik Ravi B. Parikh Eric Wong 27 0 0 02 Jun 2024
A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty Kazuki Sakamoto Connor Jerzak Adel Daoud 20 1 0 30 May 2024
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach Georgios Giannarakis Ilias Tsoumas S. Neophytides C. Papoutsa C. Kontoes D. Hadjimitsis AI4CE 19 3 0 17 Jul 2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference Sahara Ali Omar Faruque Yiyi Huang Md. Osman Gani Aneesh Subramanian Nicole-Jienne Shchlegel Jianwu Wang CML 23 3 0 22 Feb 2023
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 14 20 0 13 Jun 2022
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 9 5 0 13 Jun 2022
Causal Effect Inference for Structured Treatments Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo M. A. Silva CML 160 49 0 03 Jun 2021