Alexander B. Wiltschko

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander B. Wiltschko trusts overall

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

  1. Diederik P. Kingma
  2. Michael I. Jordan
  3. Zoubin Ghahramani
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Radford M. Neal
  7. Danilo Jimenez Rezende
  8. Shun-ichi Amari
  9. Max Welling
  10. Alex Krizhevsky

Who trusts Alexander B. Wiltschko overall

  1. Matthew J. Johnson
  2. Sandeep R. Datta
  3. Peter Sorrenson
  4. David Kristjanson Duvenaud
  5. Jason Tyler Rolfe
  6. Tanmay Nath
  7. Chelsea Finn
  8. Diederik P. Kingma
  9. Jimmy J. Lin
  10. David J. Anderson

Papers from Alexander B. Wiltschko's perspective

Ordered by how strongly the researchers Alexander B. Wiltschko 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers