DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning
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arXiv:2609.11997v1 Announce Type: new Abstract: Learning robust representations for time-series signals under noise and distribution shifts remains challenging, especially in clinical applications such as electroencephalogram (EEG) and electrocardiogram (ECG) analysis. We propose Diffusion-Conditio…
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- 2026-09-14 04:00 · arXiv cs.LG
DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning