TEX-MEX: Similarity-Guided Temporal Contrastive Learning for Time Series.

arXiv:2610.19557v1 Announce Type: cross Abstract: Contrastive learning for time series depends on deciding which pairs of inputs should be treated as similar and dissimilar. Because few augmentations reliably preserve meaning in time series, prior methods have