1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
Xiangchen Song, Zijian Li, Guangyi Chen +4
Causal Temporal Representation Learning (Ctrl) methods aim to identify the temporal causal dynamics of complex nonstationary temporal sequences. Despite the success of existing Ctr…
stat.ML2022★ 1 cited
Learning Latent Causal Dynamics
Weiran Yao, Guangyi Chen, Kun Zhang
One critical challenge of time-series modeling is how to learn and quickly correct the model under unknown distribution shifts. In this work, we propose a principled framework, cal…