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Raphael John Lamarre Townshend

2 accepted papers

2021

ATOM3D: Tasks on Molecules in Three Dimensions

NeurIPS 2021poster

Computational methods that operate on three-dimensional (3D) molecular structure have the potential to solve important problems in biology and chemistry. Deep neural networks have gained significant attention, but their widespread adoption in the biomolecular domain has been limited by a lack of eit…

Cited by 147SourcecodeScholar
2021

Learning from Protein Structure with Geometric Vector Perceptrons

ICLR 2021spotlight

Learning on 3D structures of large biomolecules is emerging as a distinct area in machine learning, but there has yet to emerge a unifying network architecture that simultaneously leverages the geometric and relational aspects of the problem domain. To address this gap, we introduce geometric vector…