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Raphael J. L. Townshend
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Books and Theses
- 2021
- [b1]Raphael J. L. Townshend:
Geometric learning of biomolecular structure. Stanford University, USA, 2021
Conference and Workshop Papers
- 2021
- [c3]Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael John Lamarre Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. ICLR 2021 - [c2]Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror:
ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks 2021 - 2019
- [c1]Raphael J. L. Townshend, Rishi Bedi, Patricia Suriana, Ron O. Dror:
End-to-End Learning on 3D Protein Structure for Interface Prediction. NeurIPS 2019: 15616-15625
Informal and Other Publications
- 2020
- [i6]Stephan Eismann, Raphael J. L. Townshend, Nathaniel Thomas, Milind Jagota, Bowen Jing, Ron O. Dror:
Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes. CoRR abs/2006.09275 (2020) - [i5]Raphael J. L. Townshend, Brent Townshend, Stephan Eismann, Ron O. Dror:
Geometric Prediction: Moving Beyond Scalars. CoRR abs/2006.14163 (2020) - [i4]Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J. L. Townshend, Ron O. Dror:
Learning from Protein Structure with Geometric Vector Perceptrons. CoRR abs/2009.01411 (2020) - [i3]Stephan Eismann, Patricia Suriana, Bowen Jing, Raphael J. L. Townshend, Ron O. Dror:
Protein model quality assessment using rotation-equivariant, hierarchical neural networks. CoRR abs/2011.13557 (2020) - [i2]Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander S. Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror:
ATOM3D: Tasks On Molecules in Three Dimensions. CoRR abs/2012.04035 (2020) - 2018
- [i1]Raphael J. L. Townshend, Rishi Bedi, Ron O. Dror:
Generalizable Protein Interface Prediction with End-to-End Learning. CoRR abs/1807.01297 (2018)
Coauthor Index
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