Richard Kueng

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Kueng trusts overall

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

  1. Scott Aaronson
  2. Hsin-Yuan Huang
  3. John Preskill
  4. S. White
  5. W. Hoeffding
  6. Ulrich Schollwoeck
  7. M. B. Hastings
  8. Xun Gao
  9. Trevor J. Hastie
  10. Antoine Browaeys

Who trusts Richard Kueng overall

  1. Hsin-Yuan Huang
  2. Andreas Elben
  3. Ciarán M. Lee
  4. M. Cerezo

Papers from Richard Kueng's perspective

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

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

Their papers