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Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering

arXiv:2610.04171v1 Announce Type: new Abstract: Inference-time steering combines pretrained diffusion experts or rewards without retraining by changing the dynamics that transport noise to data. Feynman-Kac correction compensates for proposal mismatch through importance-weighted sequential Monte Ca…

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  1. 2026-10-06 04:00 · arXiv stat.ML
    Risk-Calibrated Proposal Transport for Finite-Particle Diffusion Steering

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