Michael Egmont-Petersen

Model Architectures · 2002–2006

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Egmont-Petersen trusts overall

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

  1. Erkki Oja
  2. Kunihiko Fukushima
  3. Claus Nebauer
  4. John G. Daugman
  5. Pierre Baldi
  6. Yoshua Bengio
  7. Teuvo Kohonen
  8. Patrice Y. Simard
  9. Steve Lawrence
  10. John J. Hopfield

Who trusts Michael Egmont-Petersen overall

  1. Juan B. Mena
  2. Viren Jain
  3. Srinivas C. Turaga
  4. D. Lorente
  5. G. Handelman
  6. Joseph F. Murray
  7. Fabian Roth
  8. Nuria Aleixos
  9. H. Kok
  10. Yaroslav Ganin

Papers from Michael Egmont-Petersen's perspective

Ordered by how strongly the researchers Michael Egmont-Petersen 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers