Christine Grienberger

Cognitive Neuroscience · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Christine Grienberger trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. D. Dombeck
  4. Christopher D. Harvey
  5. David E. Rumelhart
  6. Teuvo Kohonen
  7. Gordon M. G. Shepherd
  8. Geoffrey E. Hinton
  9. D. Feldman
  10. Ronald J. Williams

Who trusts Christine Grienberger overall

  1. Jeffrey C. Magee

Papers from Christine Grienberger's perspective

Ordered by how strongly the researchers Christine Grienberger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Reinforcement Learning: An Introduction
  2. ImageNet classification with deep convolutional neural networks
  3. Learning internal representations by error propagation
  4. Gradient-based learning applied to document recognition
  5. Deep Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers