Alex Gittens

Statistics and Probability · 2011–2017

A researcher in the Science corpus: 6 papers; trusts 137 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Gittens trusts overall

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

  1. Petros Drineas
  2. Joel A. Tropp
  3. Michael W. Mahoney
  4. E.J. Candes
  5. Tomas Mikolov
  6. Christopher K. I. Williams
  7. Francis R. Bach
  8. Ameet Talwalkar
  9. Charless C. Fowlkes
  10. Percy Deift

Who trusts Alex Gittens overall

  1. Michael W. Mahoney
  2. Alessandro Rudi
  3. A. Alaoui
  4. Steven R. Howard
  5. Si Si
  6. Ping Ma
  7. Deanna Needell
  8. Raffaello Camoriano
  9. Lijun Zhang
  10. Andrew Ilyas

Papers from Alex Gittens's perspective

Ordered by how strongly the researchers Alex Gittens 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