Gerton A. Lunter

Molecular Biology · 2007–2018

A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Gerton A. Lunter trusts overall

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

  1. Ben Langmead
  2. Ruiqiang Li
  3. Radford M. Neal
  4. Heng Li
  5. Sergey Ioffe
  6. Taco Cohen
  7. Terence P. Speed
  8. Djork-Arné Clevert
  9. Cole Trapnell
  10. Christian Szegedy

Who trusts Gerton A. Lunter overall

  1. B. Faircloth
  2. Todd J. Treangen
  3. Fritz J. Sedlazeck
  4. M. Branstetter
  5. J. Davey
  6. Intawat Nookaew
  7. Steven L. Salzberg
  8. Philipp Rescheneder
  9. J. Longino
  10. Timothee Cezard

Papers from Gerton A. Lunter's perspective

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

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

Their papers