The paper proposes contrastive trend estimation (CTE) as a universal method for identifying hidden monotonic trends in any type of temporal data without standard assumptions.
Serial-emd: Fast empirical mode decomposition method for multi- dimensional signals based on serialization
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Universal hidden monotonic trend estimation with contrastive learning
The paper proposes contrastive trend estimation (CTE) as a universal method for identifying hidden monotonic trends in any type of temporal data without standard assumptions.