David van Dijk

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David van Dijk trusts overall

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

  1. Diederik P. Kingma
  2. Marco Cuturi
  3. Cédric Villani

Who trusts David van Dijk overall

  1. Vladimir Yu. Kiselev

Papers from David van Dijk's perspective

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

  1. Variational Inference with Normalizing Flows
  2. Improved Variational Inference with Inverse Autoregressive Flow
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  9. Learning Multiple Layers of Features from Tiny Images
  10. Masked Autoregressive Flow for Density Estimation

Their papers