Edward Challis

Probabilistic & Bayesian Methods · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Challis trusts overall

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

  1. David Barber
  2. Matthias W. Seeger
  3. Carl E. Rasmussen
  4. Manfred Opper
  5. Tom Minka
  6. Hannes Nickisch
  7. Tommi S. Jaakkola
  8. Michael I. Jordan
  9. Charles M. Bishop
  10. George Papandreou

Who trusts Edward Challis overall

  1. Michalis K. Titsias
  2. Danilo Jimenez Rezende
  3. David Rohde
  4. Matt P. Wand
  5. Marianne Menictas
  6. Shakir Mohamed
  7. Miguel L'azaro-Gredilla
  8. Alp Kucukelbir
  9. Qiang Liu
  10. Linda S. L. Tan

Papers from Edward Challis's perspective

Ordered by how strongly the researchers Edward Challis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers