Kyle Cranmer

Nuclear and High Energy Physics · European Physical Journal C: Particles and Fields · 2004–2020

A researcher in the Science corpus: 55 papers; trusts 323 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Cranmer trusts overall

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

  1. Radford M. Neal
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Gilles Louppe
  5. Yoshua Bengio
  6. Max Welling
  7. Donald B. Rubin
  8. Alex Krizhevsky
  9. Ronald J. Williams
  10. MARK A. Beaumont

Who trusts Kyle Cranmer overall

  1. Atlas Collaboration
  2. Gilles Louppe
  3. J. Brehmer
  4. Cms Collaboration
  5. Joeri Hermans
  6. George Papamakarios
  7. Pablo de Castro
  8. Markus Stoye
  9. Juan Pavez
  10. Volodimir Begy

Papers from Kyle Cranmer's perspective

Ordered by how strongly the researchers Kyle Cranmer 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers