3 papers
cs.LG2024
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
Zeying Gong, Yujin Tang, Junwei Liang
Although the Transformer has been the dominant architecture for time series forecasting tasks in recent years, a fundamental challenge remains: the permutation-invariant self-atten…
cs.LG2024
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
Yujin Tang, Jiaming Zhou, Xiang Pan +2
Accurate precipitation forecasting is a vital challenge of societal importance. Though data-driven approaches have emerged as a widely used solution, solely relying on data-driven…
cs.CV2024
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting
Yujin Tang, Peijie Dong, Zhenheng Tang +2
Combining CNNs or ViTs, with RNNs for spatiotemporal forecasting, has yielded unparalleled results in predicting temporal and spatial dynamics. However, modeling extensive global i…