Day: March 27, 2024

Abstract Recent studies have shown that deep learning models such as RNNs and Trans-formers have brought significant performance gains for long-term forecasting of time series because they effectively utilize historical information. We found, how-ever, that there is still great room for improvement in how to preserve historical information in neural networks while avoiding overfitting to noise …

d objective metrics and test data [7]. While [8] tried to apply a pretrained audio classifier to create paired data for the conditional source separation task, the separati