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Disentangled Representation Learning via Flow Matching
A flow matching framework learns disentangled representations via factor-conditioned flows and orthogonality regularization, improving disentanglement, controllability, and sample fidelity over diffusion baselines.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5