Rafal Bogacz

Cognitive Neuroscience · 2006–2019

A researcher in the Science corpus: 8 papers; trusts 83 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Rafal Bogacz trusts overall

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

  1. Karl J. Friston
  2. Anthony J. Bell
  3. Roger Ratcliff
  4. Michael N. Shadlen
  5. Xiao-Jing Wang
  6. Jeffrey D. Schall
  7. Rajesh P. N. Rao
  8. Geoffrey E. Hinton
  9. James L. McClelland
  10. Terrence J. Sejnowski

Who trusts Rafal Bogacz overall

  1. Matthew Botvinick
  2. Wolfram Schultz
  3. Klaus Oberauer
  4. James C. R. Whittington
  5. Amitai Shenhav
  6. Birte U. Forstmann
  7. Xiao-Jing Wang
  8. J. Cohen
  9. Eric-Jan Wagenmakers
  10. Eiji Watanabe

Papers from Rafal Bogacz's perspective

Ordered by how strongly the researchers Rafal Bogacz 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers