Christoph Lippert

Genetics · 2009–2017

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Christoph Lippert trusts overall

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

  1. Atul J. Butte
  2. David J. Balding
  3. Alkes L Price
  4. Arthur Gretton
  5. Charles Sutton
  6. Alex Smola
  7. Asa Ben-Hur
  8. Stanley Wasserman
  9. Michael E. Goddard
  10. Le Song

Who trusts Christoph Lippert overall

  1. Xiaoping Zhou
  2. Haohan Wang
  3. Matthew Stephens
  4. David E. Heckerman
  5. Barbara Rakitsch
  6. Xiaolei Liu
  7. Jiabo Wang
  8. Seunggeun Lee
  9. Xuehui Huang
  10. B. Singh

Papers from Christoph Lippert's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers