1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
Jose Siguenza, Bharath Ramsundar
Neural networks that incorporate geometric relationships respecting SE(3) group transformations (e.g. rotations and translations) are increasingly important in molecular applicatio…
cs.LG2024★ 1 cited
Open-Source Molecular Processing Pipeline for Generating Molecules
V Shreyas, Jose Siguenza, Karan Bania +1
Generative models for molecules have shown considerable promise for use in computational chemistry, but remain difficult to use for non-experts. For this reason, we introduce open-…