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cs.LG2024★ 1 cited
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao, Yile Chen, Gao Cong +2
Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily…
cs.LG2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl +2
Continuous-time models such as Neural ODEs and Neural Flows have shown promising results in analyzing irregularly sampled time series frequently encountered in electronic health re…