Wouter Bulten

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wouter Bulten trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan I. Epstein
  3. Yann LeCun
  4. Andrew L. Maas

Who trusts Wouter Bulten overall

  1. J. A. van der Laak
  2. Geert J. S. Litjens

Papers from Wouter Bulten's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. GENERATIVE ADVERSARIAL NETS
  4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers