Rick Grush

Cognitive Neuroscience · 2004

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Rick Grush trusts overall

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

  1. D. M. Wolpert
  2. Zoubin Ghahramani
  3. Michael I. Jordan
  4. Marc Jeannerod
  5. ChrisD . Frith
  6. Uta Frith
  7. Mitsuo Kawato
  8. Felix E. Zajac
  9. Richard S. Sutton
  10. Simon S. Haykin

Who trusts Rick Grush overall

  1. Giovanni Pezzulo
  2. Mark Scott
  3. Arthur M. Glenberg
  4. Josef P. Rauschecker
  5. Andreja Bubić
  6. Karl J. Friston
  7. Jim Carolan
  8. Max Lungarella
  9. Xing Tian
  10. Autumn B. Hostetter

Papers from Rick Grush's perspective

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

Their papers