Kai Kohlhoff

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 Kai Kohlhoff

  1. Petar Velickovic (in Computer Vision and Pattern Recognition)
  2. Tommi S. Jaakkola (in Model Architectures)
  3. Regina Barzilay (in Model Architectures)
  4. Tess E. Smidt (in Model Architectures)
  5. Erik J. Bekkers (in Computer Vision and Pattern Recognition)
  6. David W. Romero (in Computer Vision and Pattern Recognition)
  7. Risi Kondor (in Model Architectures)
  8. Max Welling (in Computer Vision and Pattern Recognition)
  9. Daniel E. Worrall (in Computer Vision and Pattern Recognition)
  10. Bowen Jing (in Computer Vision and Pattern Recognition)

Papers from Kai Kohlhoff's perspective

Ordered by how strongly the researchers Kai Kohlhoff trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Group Equivariant Convolutional Networks
  2. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  3. Steerable CNNs
  4. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  5. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)
  6. Harmonic Networks: Deep Translation and Rotation Equivariance
  7. 3D ShapeNets: A deep representation for volumetric shapes
  8. On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
  9. Spherical CNNs
  10. Machine learning of accurate energy-conserving molecular force fields

Their papers