UMAP-based dataset distances correlate above 0.85 with autoencoder performance drops on a CSI compression task, but without statistical validation.
Deep learning for mmwave beam and blockage prediction using sub-6 ghz channels,
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A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing
UMAP-based dataset distances correlate above 0.85 with autoencoder performance drops on a CSI compression task, but without statistical validation.