Raphael J. L. Townshend

PhD thesis, 2021

ATOM3D: Tasks on Molecules in Three Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Learning from Protein Structure with Geometric Vector Perceptrons.

[BibT_eX]

[DOI]

Bowen Jing

Raphael John Lamarre Townshend

Patricia Suriana

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ATOM3D: Tasks On Molecules in Three Dimensions.

[BibT_eX]

[DOI]

CoRR, 2020

Protein model quality assessment using rotation-equivariant, hierarchical neural networks.

[BibT_eX]

[DOI]

Patricia Suriana

Bowen Jing

CoRR, 2020

Geometric Prediction: Moving Beyond Scalars.

[BibT_eX]

[DOI]

Brent Townshend

CoRR, 2020

Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes.

[BibT_eX]

[DOI]

CoRR, 2020

2019

End-to-End Learning on 3D Protein Structure for Interface Prediction.

[BibT_eX]

[DOI]

Rishi Bedi

Patricia Suriana

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Generalizable Protein Interface Prediction with End-to-End Learning.

[BibT_eX]

[DOI]

Rishi Bedi