$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models

NeurIPSSpotlight2025

Authors
TaeHoon Yoon, Yunhong Min, Kyeongmin Yeo, Minhyuk Sung
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

We introduce $\Psi$-Sampler, an SMC-based framework incorporating pCNL-based initial particle sampling for effective inference-time reward alignment with a score-based model…

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Topics

score-based alignment

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