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Arxiv

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Image Credit: Arxiv

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints

  • Score-based diffusion models have emerged as effective approaches for both conditional and unconditional generation.
  • A new method is proposed to sample from the conditional distribution under arbitrary logical constraints without additional training.
  • The method manipulates the learned score to sample from an un-normalized distribution based on user-defined constraints.
  • The approach shows effectiveness in approximating conditional distributions for tabular data, images, and time series.

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