Compressive-sensing operators offer a unique control on view alignment by varying measurementratio. This experiment determines if sensing operators can induce sufficient augmentation for optimal view-based learning by comparing to traditional methods on audio and RF signals
representation-learning music-analysis compressive-sensing self-supervised-learning contrastive-learning barlow-twins view-based-learning
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Updated
Jul 31, 2026 - Python