18 citations · 45 across the 4 of their papers we have counts for
4 papers
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang +3
A variety of real-world applications rely on far future information to make decisions, thus calling for efficient and accurate long sequence multivariate time series forecasting. W…
Towards Spatio-Temporal Aware Traffic Time Series Forecasting--Full Version
Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo +2
Traffic time series forecasting is challenging due to complex spatio-temporal dynamics time series from different locations often have distinct patterns; and for the same time seri…
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version
Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang
We consider a setting where multiple entities inter-act with each other over time and the time-varying statuses of the entities are represented as multiple correlated time series.…
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results
Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan +2
Cyber-physical systems often consist of entities that interact with each other over time. Meanwhile, as part of the continued digitization of industrial processes, various sensor t…