Develops primal-dual inference (PDI) that jointly infers optimal primal distributions and dual multipliers during diffusion sampling using a dual-conditioned score network.
Composition and alignment of diffusion models using constrained learning,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
CFO reduces constrained generative optimization to sequential fine-tuning of flow models, supplies convergence guarantees, and reports higher rewards with high constraint satisfaction on molecular design tasks.
citing papers explorer
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Constrained Diffusion Models with Primal-Dual Inference
Develops primal-dual inference (PDI) that jointly infers optimal primal distributions and dual multipliers during diffusion sampling using a dual-conditioned score network.
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Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design
CFO reduces constrained generative optimization to sequential fine-tuning of flow models, supplies convergence guarantees, and reports higher rewards with high constraint satisfaction on molecular design tasks.