Search Results for author:
Found 2 papers, 1 papers with code
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
To capitalize on both of these strengths, we propose ATFNet, an innovative framework that combines a time domain module and a frequency domain module to concurrently capture local and global dependencies in time series data.
Towards Optimal Neural Networks: the Role of Sample Splitting in Hyperparameter Selection
When artificial neural networks have demonstrated exceptional practical success in a variety of domains, investigations into their theoretical characteristics, such as their approximation power, statistical properties, and generalization performance, have concurrently made significant strides.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
