most citedSparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting

1 citations · 1 across the 1 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 1 cited

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting

Yanjun Zhao, Tian Zhou, Chao Chen +3

Time series analysis is vital for numerous applications, and transformers have become increasingly prominent in this domain. Leading methods customize the transformer architecture…

cs.LG2023

GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting

YanJun Zhao, Ziqing Ma, Tian Zhou +3

Transformer-based models have emerged as promising tools for time series forecasting. However, these model cannot make accurate prediction for long input time series. On the one ha…