TopoCL combines persistent homology with time-series contrastive learning through a cross-modal alignment loss, and reports improved downstream performance on four tasks.
CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting,
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TopoCL: Topological Contrastive Learning for Time Series
TopoCL combines persistent homology with time-series contrastive learning through a cross-modal alignment loss, and reports improved downstream performance on four tasks.