S. V. D. Cruys

Cognitive Neuroscience · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. V. D. Cruys trusts overall

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

  1. Karl J. Friston
  2. Lisa Feldman Barrett
  3. Paul J Silvia
  4. Anil K. Seth
  5. J. Urgen Schmidhuber
  6. M. Wänke
  7. James Russell
  8. Antonio R. Damasio
  9. Agnes Moors
  10. Mihály Csíkszentmihályi

Papers from S. V. D. Cruys's perspective

Ordered by how strongly the researchers S. V. D. Cruys 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Asynchronous Methods for Deep Reinforcement Learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers