Jan-Willem van de Meent

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 13 papers; trusts 159 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Jan-Willem van de Meent trusts overall

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

  1. Vikash K. Mansinghka
  2. Frank D. Wood
  3. David Wingate
  4. Noah D. Goodman
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Brooks Paige
  8. Ronald J. Williams
  9. Radford M. Neal
  10. Richard S. Sutton

Who trusts Jan-Willem van de Meent overall

  1. Yura N. Perov
  2. David Tolpin
  3. Frank D. Wood
  4. Brooks Paige
  5. Adam Scibior
  6. Tom Rainforth
  7. Hongseok Yang
  8. Atilim Gunes Baydin
  9. Vikash K. Mansinghka
  10. Andreas Munk

Papers from Jan-Willem van de Meent's perspective

Ordered by how strongly the researchers Jan-Willem van de Meent 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. GENERATIVE ADVERSARIAL NETS

Their papers