Alex H. Williams

Cognitive Neuroscience · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alex H. Williams trusts overall

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

  1. Eve Marder
  2. Tamara G. Kolda
  3. Astrid A. Prinz
  4. Paul J. Werbos
  5. John P. Cunningham
  6. Matteo Carandini
  7. Anthony J. Bell
  8. Daniel D. Lee
  9. M. Bootman
  10. P. Paatero

Who trusts Alex H. Williams overall

  1. Marcel Stimberg

Papers from Alex H. Williams's perspective

Ordered by how strongly the researchers Alex H. Williams 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. Reinforcement Learning: An Introduction
  5. Gradient-based learning applied to document recognition
  6. Speech recognition with deep recurrent neural networks
  7. Long Short-Term Memory
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers