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arXiv Machine Learning By Ianis Hammani (ENS Paris Saclay, LMO), Claire Boyer (LMO, IUF)

From Global to Tail Convergence: Dynamics of $\alpha$-Stable Score-Based Generative Models

Read the original on arXiv Machine Learning →

arXiv:2610. 19773v1 Announce Type: new Abstract: Score-based generative models driven by $\alpha$-stable L{\'e}vy processes have been proposed as an alternative to Brownian diffusion models, with empirical evidence suggesting improved sampling and better modeling of heavy-tailed data.

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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