Michael Krone

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Krone trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ulrike von Luxburg (in Artificial Intelligence)
  2. S. Parasuraman (in Molecular Biology)
  3. Gregory R. Koch (in Representation & Self-Supervised Learning)

Papers from Michael Krone's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Efficient Estimation of Word Representations in Vector Space
  4. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  5. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  6. Siamese Neural Networks for One-Shot Image Recognition
  7. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  8. A tutorial on spectral clustering
  9. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  10. Basic local alignment search tool.

Their papers