LG AI Research· EXAONEResearch paper

[AAAI-25] Study on Efficient Time Series Forecasting Model Learning Strategies That Alleviate Variable Redundancy

LG AI Research presented a paper titled 'VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting' at the AAAI-25 main track, introducing a method to reduce computational cost in multivariate time series forecasting by adaptively grouping and sampling redundant variables.

From the source

LG AI Research's Data Intelligence (DI) Lab presented the paper “VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting [1] ” at the AAAI-25 Main Track

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Announced

15 Apr 2025 00:00 UTC

Detected

28 Aug 2026 22:20 UTC (+500d after)