Lusann Yang
2018
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Who trusts Lusann Yang overall
Papers from Lusann Yang's perspective
Ordered by how strongly the researchers Lusann Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Group Equivariant Convolutional Networks
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
- Steerable CNNs
- 3D ShapeNets: A deep representation for volumetric shapes
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
- Harmonic Networks: Deep Translation and Rotation Equivariance
- On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
- Spherical CNNs
- Machine learning of accurate energy-conserving molecular force fields
Their papers
- Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds (2018) — 1,225 citations