Maximilian Augustin

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Maximilian Augustin trusts overall

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

  1. Nicolas Papernot
  2. Ian J. Goodfellow
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Yoshua Bengio
  10. Patrick Drew McDaniel

Who trusts Maximilian Augustin overall

  1. Mario Fritz
  2. Maria Rigaki
  3. Ning Yu
  4. Tribhuvanesh Orekondy
  5. Ahmed Salem
  6. David Stutz
  7. Hossein Hajipour
  8. Soham Pal
  9. Mika Juuti
  10. Bernt Schiele

Papers from Maximilian Augustin's perspective

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

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

Their papers