LG AI Research· EXAONE

[ICLR 2024] Advancements in Time Series Forecasting

Time series forecasting, which uses artificial intelligence to predict the future based on past data, is an important area of research that can assist the decision-making process by providing information about the future in various areas. LG AI Research’s Data Intelligence Lab is actively conducting a variety of research projects in the field of time series forecasting AI as a significant technology that can solve problems and concerns during the decision-making process, such as demand forecasting and commodity price forecasting. Innovation in time series forecasting has accelerated in recent years, and the upcoming International Conference on Learning Representations (ICLR) in May 2024 will feature more than 30 papers presenting different methodologies to improve the accuracy and efficiency of time series forecasting. The time series forecasting AI papers to be presented at ICLR 2024 cover a wide range of research topics, including time series forecasting model architectures, time series forecasting using language models, time series forecasting using diffusion models, and time series representation learning. …

Announced

17 Apr 2024 00:00 UTC

Detected

28 Aug 2026 22:20 UTC (+863d after)