Sayan Mukherjee

Statistics and Probability · with Bobrowski · 2005–2018

A researcher in the Science corpus: 9 papers; trusts 86 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Sayan Mukherjee trusts overall

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

  1. Robert Tibshirani
  2. Darren J. Wilkinson
  3. Grace Wahba
  4. Antonio Cuevas
  5. Christopher K. I. Williams
  6. Michael E. Tipping
  7. Yuhai Wu
  8. Radford M. Neal
  9. Peter Bubenik
  10. Ilya S. Molchanov

Who trusts Sayan Mukherjee overall

  1. Frédéric Chazal
  2. Omer Bobrowski
  3. D. Yogeshwaran
  4. Bertrand Michel
  5. Nina Otter

Papers from Sayan Mukherjee's perspective

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

Their papers