Search Results for author:
Found 2 papers, 1 papers with code
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
Deep neural networks often face generalization problems to handle out-of-distribution (OOD) data, and there remains a notable theoretical gap between the contributing factors and their respective impacts.
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
In this paper, we propose a Time-Frequency Enhanced Decomposed Network (TFDNet) to capture both the long-term underlying patterns and temporal periodicity from the time-frequency domain.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
