Edward Grant

Artificial Intelligence · Physics reports · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Grant trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Guifré Vidal
  4. R. Fisher
  5. Jimmy Ba
  6. E. Stoudenmire
  7. Maria Schuld
  8. Patrick Rebentrost
  9. Abhinav Kandala
  10. Geoffrey E. Hinton

Who trusts Edward Grant overall

  1. Ryan Larose
  2. Marcello Benedetti
  3. M. Cerezo
  4. Zoe Holmes
  5. Tak Hur
  6. Patrick J. Coles
  7. Brian Coyle
  8. Erika Lloyd
  9. Arthur Pesah

Papers from Edward Grant's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers