Michael Wurm

Nuclear and High Energy Physics · 2007–2021

A researcher in the Science corpus: 16 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Wurm trusts overall

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

  1. Karen Simonyan
  2. Sinno Jialin Pan
  3. Andrew Zisserman
  4. Evan Shelhamer
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Fan Hu
  8. Emmanuel Maggiori
  9. Dimitrios Marmanis
  10. Diederik P. Kingma

Papers from Michael Wurm's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers