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20152026
most citedUnderspecification Presents Challenges for Credibility in Modern Machine Learning

430 citations · 985 across the 29 of their papers we have counts for

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cs.LG2026

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

Yuan Lu, Esha Singh, Yi-An Ma +1

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…