Cornelius Glackin

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Cornelius Glackin trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Andrew Barto
  4. Alexander S. Klyubin
  5. Daniel Polani
  6. Tobias Jung
  7. Satinder Singh
  8. Awni Y. Hannun
  9. Santiago Fernández

Who trusts Cornelius Glackin overall

  1. Shakir Mohamed
  2. Danilo Jimenez Rezende
  3. Karol Gregor
  4. Kelvin Xu
  5. Victoria Krakovna
  6. Jan Leike

Papers from Cornelius Glackin's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Information Theory: 1948-1998 - Guest Editorial
  7. Learning Multiple Layers of Features from Tiny Images
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers