James Grimmelmann

2015–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom James Grimmelmann trusts overall

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

  1. Irving John Good
  2. Eliezer Yudkowsky

Who trusts James Grimmelmann overall

  1. Jacob Metcalf
  2. Zachary Chase Lipton
  3. Alexandra Olteanu
  4. Amanda Levendowski
  5. Peter Henderson

Papers from James Grimmelmann's perspective

Ordered by how strongly the researchers James Grimmelmann 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. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
  3. The Earth Mover's Distance as a Metric for Image Retrieval
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. Probability theory: the logic of science
  6. Weight Uncertainty in Neural Networks
  7. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
  8. Race against the machine : how the digital revolution is accelerating innovation, driving productivity, and irreversibly transforming employment and the economy
  9. Engels' pause: Technical change, capital accumulation, and inequality in the british industrial revolution
  10. Expectation Propagation for approximate Bayesian inference

Their papers