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News/Integration Matters: Rollout-Based Training for Constrained Diffusion Models
arxiv
PublishedJuly 18, 2026 at 4:00 AM
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Integration Matters: Rollout-Based Training for Constrained Diffusion Models

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arXiv:2607.14398v1 Announce Type: cross Abstract: Constrained generative models aim to produce samples that satisfy complex feasibility constraints while remaining faithful to the data distribution. Existing constrained generation methods typically enforce constraints either through training-time op

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