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Xiaodan Chen

2 accepted papers

2024

Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values

ICLR 2024poster

Multivariate time series forecasting plays an important role in various applications ranging from meteorology study, traffic management to economics planning. In the past decades, many efforts have been made toward accurate and reliable forecasting methods development under the assumption of intact…

2024

Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics

NeurIPS 2024poster

Multivariate time series forecasting is of central importance in modern intelligent decision systems. The dynamics of multivariate time series are jointly characterized by temporal dependencies and spatial correlations. Hence, it is equally important to build the forecasting models from both perspec…

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