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arXiv Machine Learning By Lei Luo, Yingzhen Zhang, Jian Yang

Self-Consistent Generative Paths via Admissible Random Variational Transport

Read the original on arXiv Machine Learning →

arXiv:2606. 08953v1 Announce Type: new Abstract: Modern generative models often define an entire probability path from a simple prior to the data law, rather than only an endpoint map.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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