$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
NeurIPSSpotlight2025
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…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
score-based alignment
← All NeurIPS 2025 Spotlight papers · Browse the whole archive