Michael G. B. Blum

Statistics and Probability · 2006–2018

A researcher in the Science corpus: 7 papers; trusts 76 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

Whom Michael G. B. Blum trusts overall

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

  1. MARK A. Beaumont
  2. Scott Anthony Sisson
  3. Paul Marjoram
  4. Knut Heggland
  5. Jun S. Liu
  6. Tim Hesterberg
  7. Chih-Jen Lin
  8. Yanan Fan
  9. Bjørn-Helge Mevik
  10. Yann LeCun

Who trusts Michael G. B. Blum overall

  1. MARK A. Beaumont
  2. Peter J. Green
  3. Yanan Fan
  4. Paul Fearnhead
  5. George Papamakarios
  6. Scott Anthony Sisson
  7. Wentao Li
  8. Daniel R. Schrider
  9. Arnaud Estoup
  10. David S. Greenberg

Papers from Michael G. B. Blum's perspective

Ordered by how strongly the researchers Michael G. B. Blum 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers