Christian Poellabauer

Artificial Intelligence · 2010–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Poellabauer trusts overall

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

  1. Nicholas Carlini
  2. Diederik P. Kingma
  3. Mark J van Rossum
  4. Pete Warden
  5. Ian J. Goodfellow
  6. Aude Gemma Billard

Who trusts Christian Poellabauer overall

  1. Faheem Zafari

Papers from Christian Poellabauer's perspective

Ordered by how strongly the researchers Christian Poellabauer 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Et al
  4. ImageNet classification with deep convolutional neural networks
  5. Intriguing properties of neural networks
  6. Gradient-based learning applied to document recognition
  7. Explaining and Harnessing Adversarial Examples
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers