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National Taiwan University
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Self-Output Fine-Tuning (SOFT) effectively curbs the butterfly effect in weather forecasting, transforming initial prediction errors into a manageable calibration process.
Diffusion models aren't just good for generating synthetic data for robust training; their internal representations can be directly leveraged to boost adversarial robustness and disentangle features.