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Conformal Adversarial Generative Ensemble

Shahi, Ahmad et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Accurate time series forecasting is critical across various domains, yet traditional ensemble methods often suffer from the disproportionate influence of extreme forecasts. We introduce the Conformal Adversarial Generative Ensemble (CAGE), a novel framework that combines generative modeling, adversa
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