Conditioning the Gaussian latent or output distribution of a deep generative model on a linear equality constraint, with the conditional mean as the gradient proxy, enforces the constraint exactly and improves generation quality over post-hoc projection baselines.
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Deep Generative Models with Hard Linear Equality Constraints
Conditioning the Gaussian latent or output distribution of a deep generative model on a linear equality constraint, with the conditional mean as the gradient proxy, enforces the constraint exactly and improves generation quality over post-hoc projection baselines.