most citedVarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

4 citations · 4 across the 1 of their papers we have counts for

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cs.LG2026★ 4 cited

VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting

Junhyeok Kang, Yooju Shin, Jae-Gil Lee

Variate tokenization, which independently embeds each variate as separate tokens, has achieved remarkable improvements in multivariate time series forecasting. However, employing s…