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README.md
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@@ -17,5 +17,20 @@ Fucheng Warren Zhu, Connor T. Jerzak, Adel Daoud. Optimizing Multi-Scale Represe
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The app focuses on how varying the scale of Earth Observation (EO) inputs can affect conditional average treatment effect (CATE) estimation. It provides both a 2D heatmap and a 3D surface plot, helping researchers analyze how model performance metrics change with different multi-scale representations.
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The app focuses on how varying the scale of Earth Observation (EO) inputs can affect conditional average treatment effect (CATE) estimation. It provides both a 2D heatmap and a 3D surface plot, helping researchers analyze how model performance metrics change with different multi-scale representations.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# Reference
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For more information, see arxiv.org/abs/2411.02134
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```
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@article{zhu2024encoding,
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title={Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs},
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author={Fucheng Warren Zhu and Connor T. Jerzak and Adel Daoud},
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journal={Forthcoming in Proceedings of the Fourth Conference on Causal Learning and Reasoning (CLeaR), Proceedings of Machine Learning Research (PMLR)},
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year={2025},
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volume={},
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pages={},
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publisher={}
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}
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```
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