AINeutralarXiv – CS AI · 6h ago6/10
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Conditional Diffusion Guidance under Hard Constraint: A Stochastic Analysis Approach
Researchers present a novel framework for conditional diffusion models that enforces hard constraints on generated samples using Doob's h-transform and martingale theory. The method enables safety-critical applications and rare-event simulation without requiring modifications to pretrained models, with theoretical guarantees on constraint satisfaction.