Unverified50% confidenceSolutionExact time
The new method proposed in this research uses generative models to simultaneously fit the conditional distributions of two groups of data and draw synthetic samples, and the test statistic depends on both the observed data and the synthetic samples.
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10/15/2026
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UnverifiedThis study models the data selection problem as a high-dimensional regression scenario with multiple heterogeneous data sources, and employs a weighted ridge regression estimator to fuse these sources.79% similarUnverifiedThe numerical experiments of the study are divided into two phases: synthetic data and real-world data, with the second phase focusing on probabilistic forecasting tasks78% similarUnverifiedEvaluation highly overlaps with scenarios such as synthetic data generation and model distillation77% similarUnverifiedThe paper's experiments on synthetic datasets and real-world datasets demonstrate the relevance of the proposed method.75% similarUnverifiedThe research team supplemented the data with synthetic and contrastive samples to help the model distinguish cases that resemble dataset citations but are not, thereby reducing false positives.72% similar
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