Primal-dual flow matching learns to generate data under sample-wise constraints with a user-specified probability of constraint satisfaction.
Read the original at arxiv.org→arXiv:2610.12699v1 Announce Type: new Abstract: We consider the problem of learning to generate data while satisfying a prescribed \emph{sample-wise} constraint with a user-specified probability of constraint...
Original headline: "Primal-Dual Flow Matching for Sample-Wise Constrained Generation"
Coverage timeline
- Oct 12, 04:00 UTC arXiv cs.LG lead source Primal-Dual Flow Matching for Sample-Wise Constrained Generation
- Oct 14, 04:00 UTC arXiv cs.LG Posterior Flow Matching
- Oct 15, 04:00 UTC arXiv cs.AI ConicFlow: constrained Inference-time optimal control for flow matching models