Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective

NeurIPSSpotlight2025

Authors
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Time Series Forecasting has made significant progress with the help of Patching technique, which partitions time series into multiple patches to effectively retain contextual semantic information into…

Opening excerpt from the authors’ abstract. source

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Topics

time series

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