Matthew M. Nour

British Journal of Psychiatry · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Matthew M. Nour trusts overall

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

  1. Karl J. Friston
  2. Josh Tenenbaum

Who trusts Matthew M. Nour overall

  1. Maxwell James D. Ramstead
  2. S. Siegel
  3. Paul B. Badcock
  4. Karl J. Friston
  5. Ann Taves
  6. Duarte Araújo

Papers from Matthew M. Nour's perspective

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

  1. The free-energy principle: a unified brain theory?
  2. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  3. Asynchronous Methods for Deep Reinforcement Learning
  4. ImageNet classification with deep convolutional neural networks
  5. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  9. Long Short-Term Memory
  10. A Fast Learning Algorithm for Deep Belief Nets

Their papers