arXiv Machine Learning July 31, 2026 By Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara, Murray Patterson

Latent-Kernel Discrete Flow Maps for Few-Step Generation

Read the original on arXiv Machine Learning →

arXiv:2607. 27529v1 Announce Type: new Abstract: Discrete diffusion and flow-matching models denoise a sequence over many steps, but to keep each step cheap, they factorize the transition across positions and decide every token independently.

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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