Paul D. W. Kirk

Molecular Biology · with Babtie · 2014

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

Subfields

Whom Paul D. W. Kirk trusts overall

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

  1. John Skilling
  2. Darren J. Wilkinson
  3. Kevin P. Murphy

Who trusts Paul D. W. Kirk overall

  1. Frederik Vissing Mikkelsen
  2. Philippe Wenk

Papers from Paul D. W. Kirk's perspective

Ordered by how strongly the researchers Paul D. W. Kirk trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  2. Stochastic Modelling for Systems Biology
  3. Machine learning - a probabilistic perspective
  4. Nested sampling for general Bayesian computation
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers