Peter Gerstoft

Artificial Intelligence · 2003–2019

A researcher in the Science corpus: 8 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Gerstoft trusts overall

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

  1. N. M. Shapiro
  2. Geoffrey E. Hinton
  3. Michel Campillo
  4. Roel Snieder
  5. Radford M. Neal
  6. Yoshua Bengio
  7. Stéphane Mallat
  8. David G. Lowe
  9. Kaiming He
  10. Alex Krizhevsky

Who trusts Peter Gerstoft overall

  1. Nori Nakata
  2. Kees Wapenaar
  3. Roel Snieder
  4. M. Ritzwoller
  5. Fan-Chi Lin
  6. D. Halliday
  7. N. M. Shapiro
  8. K. Seats
  9. Yingjie Yang
  10. Laurent Stehly

Papers from Peter Gerstoft's perspective

Ordered by how strongly the researchers Peter Gerstoft 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers