Daniel J. Egger

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Egger trusts overall

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

  1. Paul Glasserman
  2. Stefan Woerner
  3. Edward Farhi
  4. Sanjeev Arora
  5. Yazhen Wang
  6. Michel X. Goemans
  7. Ashley Montanaro
  8. John Preskill
  9. Roman Orus
  10. Carl Doersch

Who trusts Daniel J. Egger overall

  1. Christa Zoufal
  2. Roman Orus
  3. Stefan Woerner
  4. Nikitas Stamatopoulos
  5. Jakub Marecek

Papers from Daniel J. Egger's perspective

Ordered by how strongly the researchers Daniel J. Egger 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. I and J
  5. Quantum Computation and Quantum Information
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers