Mark van der Wilk

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 220 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Mark van der Wilk trusts overall

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

  1. Alex Krizhevsky
  2. Michalis K. Titsias
  3. Carl E. Rasmussen
  4. James Hensman
  5. Radford M. Neal
  6. Diederik P. Kingma
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. David Kristjanson Duvenaud
  10. Zoubin Ghahramani

Who trusts Mark van der Wilk overall

  1. Thang D. Bui
  2. Greg Yang
  3. Haitao Liu
  4. Kenneth Blomqvist
  5. Adrià Garriga-Alonso
  6. Le Yang
  7. Richard E. Turner
  8. Alexander G. de G. Matthews
  9. Edwin V. Bonilla
  10. John Bradshaw

Papers from Mark van der Wilk's perspective

Ordered by how strongly the researchers Mark van der Wilk 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers