Ryan Byrne

Materials Chemistry · 2019

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

Subfields

Whom Ryan Byrne trusts

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

  1. J. Behler (in Materials Chemistry)

Papers from Ryan Byrne's perspective

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

  1. Long Short-Term Memory
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers