2 papers
cs.LG2026
MR-ImagenTime: Multi-Resolution Time Series Generation through Dual Image Representations
Xianyong Xu, Yuanjun Zuo, Zhihong Huang +4
Time series forecasting is vital across many domains, yet existing models struggle with fixed-length inputs and inadequate multi-scale modeling. We propose MR-CDM, a framework comb…
cs.LG2024
TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare
Ziyang Song, Qincheng Lu, Hao Xu +3
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved great success in Natural Language Processing and Computer Vision domains. However, the development…