M. Wicks

Statistics and Probability · 2001–2015

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom M. Wicks trusts overall

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

  1. Martin J. Wainwright
  2. E.J. Candes
  3. David L. Donoho
  4. Robert Tibshirani
  5. Vladimir Koltchinskii
  6. Hui Zou
  7. Michel Ledoux
  8. Olivier Bousquet
  9. Michel Talagrand
  10. Jianqing Fan

Who trusts M. Wicks overall

  1. Wen-qin Wang
  2. Paul Antonik
  3. Jingwei Xu
  4. Waseem Khan

Papers from M. Wicks's perspective

Ordered by how strongly the researchers M. Wicks 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. Gradient-based learning applied to document recognition
  4. Regression Shrinkage and Selection via the Lasso
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers