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20212025
most citedAddressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization

32 citations · 61 across the 8 of their papers we have counts for

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cs.LG2021

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong +2

Neural networks inspired by differential equations have proliferated for the past several years. Neural ordinary differential equations (NODEs) and neural controlled differential e…

cs.LG2021★ 6 cited

ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations

Sheo Yon Jhin, Minju Jo, Taeyong Kong +2

Neural ordinary differential equations (NODEs) presented a new paradigm to construct (continuous-time) neural networks. While showing several good characteristics in terms of the n…