Eugen Beck

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Eugen Beck trusts overall

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

  1. Ralf Schlüter
  2. Hermann Ney
  3. Reinhard Kneser
  4. Matthew Gibson
  5. Albert Zeyer
  6. Martin Sundermeyer
  7. Michael U Gutmann
  8. Geoffrey E. Hinton
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Eugen Beck overall

  1. Wei Zhou
  2. Jinyu Li
  3. Alexei Baevski
  4. Kazuki Irie
  5. Albert Zeyer
  6. Christoph Lüscher
  7. Wilfried Michel
  8. Ralf Schlüter
  9. Rohit Prabhavalkar
  10. Hermann Ney

Papers from Eugen Beck's perspective

Ordered by how strongly the researchers Eugen Beck 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. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers