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cs.LG2026

Sample Efficient Generative Optimization for Molecular Design

Sarina Kopf, Cristina Nevado, Philippe Schwaller

The paper proposes SEGO, a Bayesian optimization framework that steers a generative model to propose molecules, achieving strong molecular design performance with far fewer expensi…