الباحثون

Yusu Wang

المنشورات 2

نسخة أولية وصول مفتوح

Learning Where to Steer: Noise-Space Geometry for Efficient Offline Multi-Objective Optimization with Generative Models

Yuan Lu, Esha Singh, Yi-An Ma وآخرون · 2026

Offline multi-objective optimization (MOO) seeks solutions with better objective trade-offs using only a fixed dataset, without querying the objectives. Diffusion models trained on such data have emerged as a promising approach, but their samples are not inherently better than the data and must be steered toward the Pa …

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