Christian Wressnegger

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Christian Wressnegger trusts overall

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

  1. Prahlad Fogla
  2. Christopher Krügel
  3. Cynthia Dwork
  4. Marco Cova
  5. Andreas Moser
  6. Alex Graves
  7. Timon Van Overveldt
  8. Yann LeCun
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Christian Wressnegger overall

  1. Davide Maiorca
  2. Battista Biggio

Papers from Christian Wressnegger's perspective

Ordered by how strongly the researchers Christian Wressnegger 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers