2026
Constrained Flow Optimization via Sequential Fine-Tuning for Molecular Design
ICML 2026poster
Adapting generative foundation models, in particular diffusion and flow models, to optimize given reward functions (e.g., binding affinity) while satisfying constraints (e.g., molecular synthesizability) is fundamental for their adoption in real-world scientific discovery applications such as molecu…