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cs.LG2025
Learning Time-Series Representations by Hierarchical Uniformity-Tolerance Latent Balancing
Amin Jalali, Milad Soltany, Michael Greenspan +1
We propose TimeHUT, a novel method for learning time-series representations by hierarchical uniformity-tolerance balancing of contrastive representations. Our method uses two disti…
cs.LG2024★ 2 cited
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
Shivam Grover, Amin Jalali, Ali Etemad
Existing approaches for learning representations of time-series keep the temporal arrangement of the time-steps intact with the presumption that the original order is the most opti…