3 citations · 3 across the 1 of their papers we have counts for
2 papers
q-bio.BM2026★ 3 cited
Generative Molecular Design with Steerable and Granular Synthesizability Control
Jeff Guo, VÃctor Sabanza-Gil, Olha Semenenko +20
Designing molecules that are both property-optimal and readily synthesizable is a central challenge in drug discovery. Existing works that do consider synthesizability can jointly…
cs.LG2025
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
VÃctor Sabanza-Gil, Riccardo Barbano, Daniel Pacheco Gutiérrez +4
Multi-fidelity Bayesian Optimization (MFBO) is a promising framework to speed up materials and molecular discovery as sources of information of different accuracies are at hand at…