Kenneth Kreutz-Delgado

Artificial Intelligence · 1999–2019

A researcher in the Science corpus: 11 papers; trusts 58 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Kenneth Kreutz-Delgado trusts overall

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

  1. Geoffrey E. Hinton
  2. David J. Field
  3. Bhaskar D. Rao
  4. Stéphane Mallat
  5. Barbara Olshausen
  6. Yoshua Bengio
  7. Sam T. Roweis
  8. Ilya Sutskever
  9. Yann LeCun
  10. Michael E. Tipping

Who trusts Kenneth Kreutz-Delgado overall

  1. David Paul Wipf
  2. Michal Aharon
  3. Rick Chartrand
  4. Alfred Marcel Bruckstein
  5. Michael Elad
  6. Bhaskar D. Rao
  7. Andrzej S. Cichocki
  8. Matthieu Kowalski
  9. Patrick Virtue
  10. Shinji Watanabe

Papers from Kenneth Kreutz-Delgado's perspective

Ordered by how strongly the researchers Kenneth Kreutz-Delgado 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers