Michael Kagan

Nuclear and High Energy Physics · 2010–2022

A researcher in the Science corpus: 32 papers; trusts 64 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kagan trusts overall

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

  1. Jesse Thaler
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Matteo Cacciari
  5. Diederik P. Kingma
  6. K. Tilburg
  7. Yann LeCun
  8. Xavier Glorot
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Michael Kagan overall

  1. Patrick T. Komiske
  2. E. Metodiev
  3. Luke de Oliveira
  4. Arthur Douillard
  5. Cms Collaboration
  6. Sangwon Jung
  7. Gilles Louppe
  8. Giuseppe Carleo
  9. Pablo de Castro
  10. Jamie Hayes

Papers from Michael Kagan's perspective

Ordered by how strongly the researchers Michael Kagan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers