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Andreas Krause

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#machine learning Preprint Nov 2026

Multi-Objective Generative Optimization via Expected Hypervolume Fine-Tuning

Scientific discovery requires plausible designs spanning useful trade-offs among competing properties: a molecule with strong binding affinity, for example, may be difficult to synthesize. Pretrained generative models, e.g., flow and diffusion generators, provide a foundation for proposing such designs, but steering th...

J. Guevara, Riccardo De Santi, Andreas Krause et al. · 0 citations

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