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News/Avoiding unsafe sets when training with Langevin Dynamics
arxiv
PublishedJuly 16, 2026 at 4:00 AM
—neutral

Avoiding unsafe sets when training with Langevin Dynamics

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Publisher summary· verbatim

arXiv:2607.07538v2 Announce Type: replace Abstract: Training a model with noisy gradient descent can be idealized as overdamped Langevin dynamics, and a natural safety question is to bound the probability $\nu_t(\mathcal{A}_H) = \mathbb{P}(Q_t \in \mathcal{A}_H)$ that the trajectory lies in a design

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