most citedDIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2024

Bayesian Intervention Optimization for Causal Discovery

Yuxuan Wang, Mingzhou Liu, Xinwei Sun +2

Causal discovery is crucial for understanding complex systems and informing decisions. While observational data can uncover causal relationships under certain assumptions, it often…

cs.LG2023★ 2 cited

DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization

Wang Lu, Jindong Wang, Xinwei Sun +4

Time series remains one of the most challenging modalities in machine learning research. The out-of-distribution (OOD) detection and generalization on time series tend to suffer du…