# LG AI Research — [AAAI-25] Study on Efficient Time Series Forecasting Model Learning Strategies That Alleviate Variable Redundancy

- Company: LG AI Research (lgresearch.ai)
- Announced: 2025-04-15T00:00:00+00:00
- Category: research-paper
- Subject: EXAONE
- Source: https://www.lgresearch.ai/blog/view?seq=552
- Record: https://forck.live/items/4795-aaai-25-study-on-efficient-time-series-forecasting-model-learning-strategies

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.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=552:

> 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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