6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 6 cited
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu +2
Multivariate time series forecasting poses an ongoing challenge across various disciplines. Time series data often exhibit diverse intra-series and inter-series correlations, contr…
cs.LG2023★ 2 cited
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss
Site Mo, Haoxin Wang, Bixiong Li +3
Time series is a special type of sequence data, a sequence of real-valued random variables collected at even intervals of time. The real-world multivariate time series comes with n…
cs.CL2023★ 4 cited
Weakly Supervised Reasoning by Neuro-Symbolic Approaches
Xianggen Liu, Zhengdong Lu, Lili Mou
Deep learning has largely improved the performance of various natural language processing (NLP) tasks. However, most deep learning models are black-box machinery, and lack explicit…