Oliver Stegle

Molecular Biology · 2008–2022

A researcher in the Science corpus: 42 papers; trusts 266 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Stegle trusts overall

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

  1. Radford M. Neal
  2. Mark D. Robinson
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Michael I. Jordan
  6. Tom Minka
  7. John M. Winn
  8. Diederik P. Kingma
  9. David John Cameron MacKay
  10. Arthur Gretton

Who trusts Oliver Stegle overall

  1. John C. Marioni
  2. Jeffrey T. Leek
  3. R. Argelaguet
  4. Rhonda L. Bacher
  5. Sarah A. Teichmann
  6. Florian Buettner
  7. Aaron T. L. Lun
  8. Barbara Rakitsch
  9. Bonnie Berger
  10. Geng Chen

Papers from Oliver Stegle's perspective

Ordered by how strongly the researchers Oliver Stegle 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers