Jackson Gorham

Statistics and Probability · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Jackson Gorham trusts overall

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

  1. Radford M. Neal
  2. Chris J. Oates
  3. Gareth O. Roberts
  4. Mark A. Girolami
  5. Max Welling
  6. Arthur Gretton
  7. Qiang Liu
  8. Gesine Reinert
  9. Andrew Gelman
  10. Miles Lubin

Who trusts Jackson Gorham overall

  1. Qiang Liu
  2. Christopher Nemeth
  3. Yang Song
  4. Jiaming Song
  5. Chris J. Oates
  6. Dilin Wang
  7. Jiaxin Shi
  8. Paul Fearnhead
  9. Conor Durkan
  10. Stefano Ermon

Papers from Jackson Gorham's perspective

Ordered by how strongly the researchers Jackson Gorham 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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