Daniel A. Roberts

Nuclear and High Energy Physics · 2014–2019

A researcher in the Science corpus: 8 papers; trusts 103 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel A. Roberts trusts overall

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

  1. D. Stanford
  2. L. Susskind
  3. S. Shenker
  4. J. Maldacena
  5. Brian Swingle
  6. Patrick M. Hayden
  7. Yazhen Wang
  8. Thomas Hartman
  9. Y. Sekino
  10. Alex Krizhevsky

Who trusts Daniel A. Roberts overall

  1. Shira Chapman
  2. A. Nahum
  3. R. Myers
  4. B. Yoshida
  5. Adam R. Brown
  6. Tianci Zhou
  7. H. Marrochio
  8. D. Stanford
  9. Jordan S. Cotler
  10. Paweł Caputa

Papers from Daniel A. Roberts's perspective

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

Their papers