3 papers
cs.LG2025
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
Hanzhong Cao, Wenbo Yan, Ying Tan
Many methods aim to enhance time series forecasting by decomposing the series through intricate model structures and prior knowledge, yet they are inevitably limited by computation…
cs.LG2025
Reflect before Act: Proactive Error Correction in Language Models
Qiuhai Zeng, Sarvesh Rajkumar, Di Wang +2
Large Language Models (LLMs) have demonstrated remarkable capabilities in interactive decision-making tasks, but existing methods often struggle with error accumulation and lack ro…
cs.LG2024
TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting
Wenbo Yan, Ying Tan
Recently, the incorporation of both temporal features and the correlation across time series has become an effective approach in time series prediction. Spatio-Temporal Graph Neura…