Piërre van de Laar

Probabilistic & Bayesian Methods · 2011

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Piërre van de Laar trusts overall

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

  1. David Barber
  2. Stuart Geman
  3. Carsten Peterson
  4. Lawrence K. Saul
  5. David H. Ackley
  6. Tommi S. Jaakkola
  7. Geoffrey E. Hinton
  8. David John Cameron MacKay
  9. Michael I. Jordan
  10. Donald Geman

Papers from Piërre van de Laar's perspective

Ordered by how strongly the researchers Piërre van de Laar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. A Learning Algorithm for Boltzmann Machines
  3. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Neural Networks for Pattern Recognition
  7. Probabilistic reasoning in intelligent systems - networks of plausible inference
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Mean Field Theory for Sigmoid Belief Networks

Their papers