Concepedia

Nathaniel Thomas

NT

2

Publications

619

Citations

2

H-Index

2018

Active since

Affiliations

Stanford University(Current)

Nathaniel Thomas is an author at Stanford University specializing in data science, geometric feature modeling, and computer vision.

Top concepts

GeometryEngineeringData ScienceDeep LearningImage AnalysisMachine VisionComputer VisionComputer ScienceMachine LearningNatural Sciences

Publications per year

2018–2020

2

Publications

2

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

Nathaniel Thomas, Tess Smidt, Steven Kearnes et al. · arXiv (Cornell University) · 2018 · 562 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +23

Hierarchical, rotation‐equivariant neural networks to select structural models of protein complexes

Stephan Eismann, Raphael J.L. Townshend, Nathaniel Thomas et al. · Proteins Structure Function and Bioinformatics · 2020 · 57 citations · Full text

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