Michael Eickenberg

Artificial Intelligence · with Belilovsky · 2017–2019

A researcher in the Science corpus: 6 papers; trusts 347 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Eickenberg trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Stéphane Mallat
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jerome H. Friedman
  10. Karen Simonyan

Who trusts Michael Eickenberg overall

  1. Simone Scardapane
  2. Eugene Belilovsky
  3. Zeyuan Allen-Zhu
  4. Lucas Caccia
  5. Arild Nøkland
  6. Michele Scarpiniti
  7. Yigitcan Kaya
  8. Mathieu Andreux
  9. Yuanzhi Li
  10. Kristof T. Schütt

Papers from Michael Eickenberg's perspective

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

Their papers