Matthew J. Beal

Probabilistic & Bayesian Methods · 2000–2006

A researcher in the Science corpus: 5 papers; trusts 32 researchers and is trusted by 287 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew J. Beal trusts overall

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

  1. Radford M. Neal
  2. David E. Heckerman
  3. Zoubin Ghahramani
  4. David John Cameron MacKay
  5. Geoffrey E. Hinton
  6. Hagai Thomas Attias
  7. Peter J. Green
  8. Masa-aki Sato
  9. Michael I. Jordan
  10. Alan L. Yuille

Who trusts Matthew J. Beal overall

  1. Karl J. Friston
  2. Michael I. Jordan
  3. David M. Blei
  4. Lawrence Carin
  5. Yee Whye Teh
  6. D. M. Titterington
  7. Richard E. Turner
  8. John William Paisley
  9. Jean Daunizeau
  10. Zoubin Ghahramani

Papers from Matthew J. Beal's perspective

Ordered by how strongly the researchers Matthew J. Beal 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. Gradient-based learning applied to document recognition
  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. 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