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cs.LG2023
Tailoring Mixup to Data for Calibration
Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
Among all data augmentation techniques proposed so far, linear interpolation of training samples, also called Mixup, has found to be effective for a large panel of applications. Al…
cs.LG2022
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc +4
We study short-term prediction of wind speed and wind power (every 10 minutes up to 4 hours ahead). Accurate forecasts for these quantities are crucial to mitigate the negative eff…