4 citations · 6 across the 4 of their papers we have counts for
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cs.LG2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density
Junwoo Park, Jungsoo Lee, Youngin Cho +4
Time-series forecasting models often encounter abrupt changes in a given period of time which generally occur due to unexpected or unknown events. Despite their scarce occurrences…
cs.LG2022★ 2 cited
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho, Daejin Kim, Dongmin Kim +2
Time series forecasting has become a critical task due to its high practicality in real-world applications such as traffic, energy consumption, economics and finance, and disease a…
cs.LG2022★ 4 cited
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho, Daejin Kim, Mohammad Azam Khan +1
Conditional generative adversarial networks (cGANs) have shown superior results in class-conditional generation tasks. To simultaneously control multiple conditions, cGANs require…