To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related ...

To solve this problem, this study proposes a novel multi-step wind power forecasting model based on an encoder-decoder architecture. It incorporates a multi-frequency attention mechanism into a ...

The repository accompanies the Visual Encoders for Data-Efficient Imitation Learning in ... data_split directory for examples of data split files used in the paper. We use PyTorch Lightning to train ...

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