Lukas Gruber

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lukas Gruber trusts overall

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

  1. Jerome H. Friedman
  2. Geoffrey E. Hinton
  3. Sepp Hochreiter
  4. J. Urgen Schmidhuber
  5. Yoshua Bengio
  6. Alex Graves
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Jimmy Ba

Papers from Lukas Gruber's perspective

Ordered by how strongly the researchers Lukas Gruber 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers