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Found 3 papers, 2 papers with code
An evaluation framework for synthetic data generation models
Two use case scenarios demonstrate the applicability of the proposed framework for evaluating the ability of synthetic data generation models to generated high quality data.
C-XGBoost: A tree boosting model for causal effect estimation
Causal effect estimation aims at estimating the Average Treatment Effect as well as the Conditional Average Treatment Effect of a treatment to an outcome from the available data.
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
In this paper, we propose the concept of explainable image similarity, where the goal is the development of an approach, which is capable of providing similarity scores along with visual factual and counterfactual explanations.
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