Peter J. Danaher

Statistics and Probability · with Wang · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Peter J. Danaher trusts overall

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

  1. Nicolai Meinshausen
  2. Robert Tibshirani
  3. Ming Yuan
  4. Eric R. Ziegel
  5. David Ruppert
  6. Klaus Nordhausen
  7. Jerome H. Friedman
  8. Amr Ahmed
  9. Le Song
  10. Yi Lin

Who trusts Peter J. Danaher overall

  1. Mathias Drton
  2. Javier Zapata
  3. Sheng Wang
  4. David Hallac
  5. Chris J. Oates
  6. G. Costantini
  7. Marloes H. Maathuis
  8. Tommaso Cai
  9. Sang-Yun Oh
  10. Renyu Zhang

Papers from Peter J. Danaher's perspective

Ordered by how strongly the researchers Peter J. Danaher trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. The Elements of Statistical Learning
  10. Model selection and estimation in regression with grouped variables

Their papers