arXiv Machine Learning June 8, 2026 By Jaehoon Lee, Sunghyun Sim

CF-JEPA: Mask-free forward prediction with asymmetric encoder utilization for time-series representation learning

Read the original on arXiv Machine Learning →

arXiv:2606. 07031v1 Announce Type: new Abstract: Self-supervised learning (SSL) for time-series representation learning is dominated by two paradigms: contrastive methods, which face challenges in constructing positive or negative pairs, and masking-based methods, which disrupt the temporal continuity of time-series signals.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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