Image-based Treatment Effect Heterogeneity

13 June 2022

Papers citing "Image-based Treatment Effect Heterogeneity"

15 / 15 papers shown

Title
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 52 2 0 03 Jan 2025
Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery Mohammad Kakooei James Bailie Albin Söderberg Albin Becevic Adel Daoud 29 0 0 05 Nov 2024
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments Kosuke Imai Kentaro Nakamura CML 28 4 0 01 Oct 2024
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 65 0 0 25 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 27 0 0 04 Jun 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 39 1 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 32 1 0 30 May 2024
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets Hang Chen Xinyu Yang Keqing Du CML 26 2 0 16 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference Md Musfiqur Rahman Murat Kocaoglu OOD 32 2 0 02 Jan 2024
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images Connor Jerzak Adel Daoud CML 11 2 0 30 Sep 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng R. Li CML OOD 25 8 0 02 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 38 11 0 30 Jan 2023
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 18 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 171 50 0 03 Jun 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015