Thomas Bartz-Beielstein

Artificial Intelligence · 2005–2019

A researcher in the Science corpus: 10 papers; trusts 49 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Bartz-Beielstein trusts overall

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

  1. Donald R. Jones
  2. Jonas Mockus
  3. Yuhai Wu
  4. Jack P. C. Kleijnen
  5. Hans-Georg Beyer
  6. Yaochu Jin
  7. Frank Hutter
  8. Fred W. Glover
  9. Mark Hauschild
  10. Matthias Schonlau

Who trusts Thomas Bartz-Beielstein overall

  1. Frank Hutter
  2. Holger H. Hoos
  3. Kevin Leyton-Brown
  4. Manuel López-Ibáñez
  5. Changwu Huang
  6. Lin Xu
  7. Handing Wang
  8. Jörg Stork
  9. Martin Zaefferer
  10. Salvador Garcia

Papers from Thomas Bartz-Beielstein's perspective

Ordered by how strongly the researchers Thomas Bartz-Beielstein trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Efficient Global Optimization of Expensive Black-Box Functions
  3. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Random Forests
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers