Daniel J. Kersten

Cognitive Neuroscience · 2002–2012

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Kersten trusts overall

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

  1. David Mumford
  2. Eero P. Simoncelli
  3. Paul A. Viola
  4. Song-Chun Zhu
  5. Barbara Olshausen
  6. Vladimir Naumovich Vapnik
  7. Tomaso A. Poggio
  8. Eric R. Ziegel
  9. Geoffrey E. Hinton
  10. James O. Berger

Who trusts Daniel J. Kersten overall

  1. Karl J. Friston
  2. Elizabeth Pellicano
  3. Michael Tarr
  4. Moshe Bar
  5. Aaron Hertzmann
  6. H. D. den Ouden
  7. Konrad Paul Kording
  8. Michael W. Spratling
  9. David C. Burr
  10. Kelsey R. Allen

Papers from Daniel J. Kersten's perspective

Ordered by how strongly the researchers Daniel J. Kersten 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Going deeper with convolutions

Their papers