2026
Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors
ICML 2026poster
The application of generative models for experimental drug discovery campaigns is severely limited by the difficulty of designing molecules de novo that can be synthesized in practice. Previous works have leveraged Generative Flow Networks (GFlowNets) to impose hard synthesizability constraints thro…