Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra
arXiv:2610.23955v1 Announce Type: new Abstract: Raman spectroscopy generates large volumes of unlabeled data that are difficult to exploit with conventional supervised learning. This work introduces a multi-domain self-supervised learning framework based on a masked autoencoder (MAE) for learning t…
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- 2026-10-20 04:00 · arXiv cs.LG
Physics-Aware Self-Supervised Pretraining on Multi-Domain Raman Spectra