The Genie method, proposed by researchers at IBM Israel Research Lab, Hebrew University of Jerusalem, and MIT, aims to generate high-quality, synthetic, content-grounded data. The method involves three stages: Content…
Continue readingThe article presents a framework, ARCANE, for generating synthetic datasets to improve models predicting pedestrian intentions, crucial for autonomous driving. The lack of diverse datasets with crossing and non-crossing scenarios…
Continue readingThis academic article by researchers from the University of Waterloo focuses on the challenge of generating synthetic data with differential privacy (DP) guarantees when the input data has missing values….
Continue readingThis academic article focuses on the challenge of preserving privacy while enabling collaborative data sharing. It discusses synthetic data generation as a solution, producing artificial data that mirrors the statistical…
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