Christian Beckel

Electrical and Electronic Engineering · 2014

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Beckel trusts overall

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

  1. J. Kolter
  2. Radford M. Neal
  3. Tom Fawcett
  4. Nathalie Japkowicz
  5. Jan Gorodkin
  6. Michael Zeifman
  7. Yoav Freund
  8. Corinna Cortes
  9. Ahmed Zoha
  10. Oliver Parson

Who trusts Christian Beckel overall

  1. Peter Bailis
  2. Stephen A. Haben
  3. Yi Wang
  4. D. Narayanan
  5. Samuel Madden
  6. Colin Singleton
  7. Qixin Chen

Papers from Christian Beckel's perspective

Ordered by how strongly the researchers Christian Beckel 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. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Pattern Recognition and Machine Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers