2 papers
cs.LG2024
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
Mingyue Cheng, Jiqian Yang, Tingyue Pan +2
Designing effective models for learning time series representations is foundational for time series analysis. Many previous works have explored time series representation modeling…
cs.LG2024
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
Zhiding Liu, Jiqian Yang, Qingyang Mao +5
Multivariate time series forecasting plays a crucial role in various real-world applications. Significant efforts have been made to integrate advanced network architectures and tra…