AI RESEARCH
Disentangled Representation Learning via Flow Matching
arXiv CS.LG
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ArXi:2602.05214v2 Announce Type: replace Disentangled representation learning aims to capture the underlying explanatory factors of observed data, enabling a principled understanding of the data-generating process. Recent advances in generative modeling have