Riley, Patrick

Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Thomas, N., Smidt, T., Kearnes, S., Yang, L., Li, L., Kohlhoff, K., & Riley, P. (2018) · arXiv

3D Shape Modeling and AnalysisNeural Networks and Applications

Cited by 1,303

Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error

Faber, F. A., Hutchison, L., Huang, B., Gilmer, J., Schoenholz, S. S., Dahl, G. E., Vinyals, O., Kearnes, S., Riley, P. F., & von Lilienfeld, O. A. (2017) · Journal of Chemical Theory and Computation

Machine Learning in Materials ScienceAdvanced Chemical Physics Studies

Cited by 651

Three pitfalls to avoid in machine learning.

Riley, P. (2019) · Nature

Scientific Computing and Data ManagementEthics and Social Impacts of AI

Cited by 142