AI RESEARCH
MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
arXiv CS.LG
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ArXi:2605.29987v1 Announce Type: new Although multi-scales representation learning enables elastic-dimension embeddings, nested subspaces often suffer from dimensional redundancy and spectral collapse. To address this, we