Tom Charnock

Astronomy and Astrophysics · 2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Charnock trusts overall

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

  1. J. Brehmer
  2. Diederik P. Kingma
  3. George Papamakarios
  4. Padhraic Smyth
  5. Justin Alsing
  6. Kyle Cranmer
  7. Jan-Matthis Lueckmann
  8. Jimmy Ba
  9. Radford M. Neal
  10. Geoffrey E. Hinton

Who trusts Tom Charnock overall

  1. Justin Alsing

Papers from Tom Charnock's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers