Bob Carpenter

Statistics and Probability · 2008–2021

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Bob Carpenter trusts overall

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

  1. Radford M. Neal
  2. Andrew Gelman
  3. Michael Betancourt
  4. Matthew D. Hoffman
  5. Donald B. Rubin
  6. Yurii E. Nesterov
  7. Jorge Nocedal
  8. David J. Lunn
  9. Andreas Griewank
  10. Laurent Hascoët

Who trusts Bob Carpenter overall

  1. Paul-Christian Burkner
  2. Dustin Tran
  3. Atilim Gunes Baydin
  4. Charles C. Margossian
  5. Yixin Wang
  6. Aki Vehtari
  7. Michalis K. Titsias
  8. David M. Blei
  9. Alexander Rothkopf
  10. Andrew Gelman

Papers from Bob Carpenter's perspective

Ordered by how strongly the researchers Bob Carpenter 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. Sampling-Based Approaches to Calculating Marginal Densities
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers